November 23, 2021

Top 20 AWS Database Interview Questions and Answers

  

Ques: 1). What are your thoughts on the Amazon Database?

Answer: 

Amazon Database is an Amazon Web Services offering that includes managed databases, managed services, and NoSQL. It also comes with a fully managed petabyte-scale data warehouse and in-memory caching as a service. There are four AWS database services to choose from, and the user can use one or all of them depending on their needs. DynamoDB, RDS, RedShift, and ElastiCache are the Amazon database services.

 

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Ques: 2). What are the features of Amazon Database?

Answer: 

Following are the important features of Amazon Database:


  • Easy to administer
  • Highly scalable
  • Durable and reliable
  • Faster performance
  • Highly available
  • More secure
  • Cost-effective

 

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 Ques: 3). What is a key-value store, and how does it work?

Answer: 

A key-value store is a database service that makes it easier to store, update, and query items that are identified by their keys and values. These objects are made up of keys and values that make up the actual content that is saved.

 

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Ques: 4).  What Is A Data Warehouse, And How Can Amazon Redshift Help With Storage?

Answer: 

A data warehouse can be conceived of as a repository for data acquired and stored from the company's systems and other sources. As a result, a data warehouse's design is three-tiered:

The tools that clean and collect data are found on the bottom rung.

We have tools in the intermediate layer that use Online Analytical Processing Server to alter the data.

We have various tools on the top layer that execute data analysis and data mining on the front end.

Setting up and maintaining a data warehouse costs a lot of money, especially as an organization's data grows and its data storage servers need to be upgraded on a regular basis. As a result, AWS RedShift was created, allowing businesses to store their data in Amazon's cloud-based warehouses.

 

AWS RedShift Interview Questions and Answers

 

Ques: 5). What Is The Difference Between A Leader Node And A Compute Node?

Answer: 

The queries from the client application are received in a leader node, where they are parsed and an execution plan is created. The stages for processing these queries are created, and the outcome is returned to the client application.

The steps allocated in the leader node are completed in a compute node, and the data is transferred. After that, the result is returned to the leader node before being delivered to the client application.

 

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Ques: 6). What Is Amazon ElastiCache, and How Does It Work?

Answer: 

Amazon ElastiCache is an in-memory key-value store that can handle Redis and Memcached as key-value engines. It is a fully managed and zero administration service that Amazon has hardened. You may use Amazon ElastiCache to either create a new high-performance application or upgrade an existing one. ElastiCache has a wide range of applications in gaming, healthcare, and other fields.

 

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Ques: 7). What Is Amazon ElastiCache's Purpose?

Answer: 

The caching of information that is utilised repeatedly could increase the performance of online applications. Using in-memory-caching, the data may be accessed very quickly. There is no need to manage a separate caching server with ElastiCache. An open source compatible in-memory data source with high throughput and low latency can be readily deployed or run.

 

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Ques: 8). When would I prefer Provisioned IOPS over Standard RDS storage?

Answer: 

Provisioned IOPS deliver high IO rates but on the other hand it is expensive as well. Batch processing workloads do not require manual intervention they enable full utilization of systems, therefore a provisioned IOPS will be preferred for batch oriented workload.

 

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Ques: 9). What Oracle features are available in AWS RDS?

Answer: 

Oracle is a well-known relational database that is available through Amazon RDS with enterprise version features. Almost every Oracle functionality may be used with the RDS platform.

If no version is specified when the database is created, it defaults to the most recent version available at the moment. In a Python SDK programme, here's an example of how to access the supported DB Engine versions using the AWS API.

 

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Ques: 10). What are the differences between Amazon RDS, DynamoDB, and Redshift?

Answer: 

Amazon RDS is a relational database management service that handles patching, upgrading, and data backups for you without requiring your involvement. RDS is a database management service that exclusively handles structured data.

On the other hand, DynamoDB is a NoSQL database service, which works with unstructured data.

Redshift is a data warehouse product that is utilised in data analysis and is a completely different service.


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Ques: 11). Can I use Amazon RDS to operate many database instances for free?

Answer: 

Yes. You can operate many Single-AZ Micro database instances, and they're all free! Any use of more than 750 instance hours across all Amazon RDS Single-AZ Micro DB instances, across all qualifying database engines and locations, will be paid at normal Amazon RDS charges. For example, if you run two Single-AZ Micro DB instances for 400 hours each in a month, you'll have 800 instance hours total, with 750 hours being free. The remaining 50 hours will be charged at the usual Amazon RDS rate.


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Ques: 12). What is Oracle Licensing and how does it work?

Answer: 

Oracle licenses can be used in RDS in two ways:

Model with a License

The license for the software you'll use is held by Amazon in this model. Also, through its support programme, AWS provides support for both AWS and Oracle products. As a result, the user does not need to purchase a separate license. The user's licensing costs are included in the platform pricing.

Bring Your Own license

In this arrangement, the user imports her license into the RDS platform. It is the user's responsibility to keep the license, database instance class, and database edition all in sync. The user directly contacts the Oracle support channel for any need. In this model the supported editions are Enterprise Edition (EE), Standard Edition (SE), Standard Edition One (SE1) and Standard Edition Two (SE2).


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Ques: 13). If I delete my DB Instance, what happens to my backups and DB Snapshots?

Answer: 

When you delete a database instance, you have the option of creating a final database snapshot, which you can use to restore your database. After the instance is removed, RDS keeps this user-made DB snapshot together with all other manually created DB snapshots. Automated backups are also deleted, leaving just manually created DB Snapshots.


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Ques: 14).  How can I load data into Amazon Redshift from various data sources such as Amazon RDS, Amazon DynamoDB, and Amazon EC2?

Answer: 

You have two options for loading the data:

The COPY command can be used to load data into Amazon Redshift in parallel from Amazon EMR, Amazon DynamoDB, or any SSH-enabled server.

AWS Data Pipeline is a fault-tolerant, high-performance solution for loading data from a range of AWS data sources. To load your data into Amazon Redshift, you can utilise AWS Data Pipeline to specify the data source, required data transformations, and then run a pre-written import script.


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Ques: 15). What is an RDS instance, and how does it work?

Answer: 

The Amazon Relational Database Service (Amazon RDS) is a web service that lets you easily construct a cloud-based relational database instance. Amazon RDS administers the database instance on your behalf, including backups, failover, and database software maintenance. Read Replicas, which are RDS instances that act as copies of the source master database for handling read-requests, can be launched for read-heavy applications. A source DB instance can have up to five (5) Read Replicas attached to it. The existing RDS Instances in the selected AWS region are listed on the Instances page. The information for an existing RDS Instance are displayed when you click on it.

Fields

Name - unique name/identifier for the RDS instance.

Engine - The version of the MySQL or Oracle engine of the RDS Instance.

RDS Subnet Group - The group of RDS Subnets for the VPC.

Availability Zone - The availability zone into which the RDS Instance will be created and launched.

Multi-AZ - Indicates that the RDS Instance will be used in a multiple availability zone configuration.

Instance class - If you selected a different instance type, the existing instance will be terminated and new RDS instance will be launched.

Storage - storage size in GBs for the instance that will be allocated for storing data.

Source instance - If the instance is a Read Replica, it will list the name of the source DB instance.

Status - The status of the RDS Instance (creating, modifying, available, rebooting, deleting). An RDS Instance will only be accessible when its status is 'available'.

 

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Ques: 16). What is Amazon Aurora and how does it work?

Answer: 

Amazon Aurora is a form of cloud-based relational database that works with MySQL and PostgreSQL. It performs five times faster than MySQL and three times faster than PostgreSQL. The performance and availability of traditional databases are combined with the simplicity and cost-effectiveness of open-source databases in this hybrid database type. Because Amazon RDS manages this database completely, operations like hardware provisioning, database setup, patching, and backups are all automated.


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Ques: 17). Which Amazon Web Services services will you use to collect and process e-commerce data in real time for analysis?

Answer: 

For real-time analysis, I'll utilise DynamoDB to collect and handle e-commerce data. DynamoDB is a fully managed NoSQL database service for unstructured data. It can even be used to extract e-commerce information from websites. RedShift may then be used to perform analysis on the retrieved e-commerce data. Elastic MapReduce can be utilised for analysis as well, but we won't use it here because real-time analysis isn't required.


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Ques: 18). What happens if a user deletes a dB instance? What happens to the dB snapshots and backups?

Answer: 

The user is given the option of taking a last dB snapshot when a dB instance is removed. If you do so, your information from the snapshot will be restored. When the dB instance is removed, AWS RDS preserves all of the user-made dB snapshots together with all of the other manually created dB snapshots. Automated backups are erased at the same time, but manually produced dB snapshots are kept.


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Ques: 19). What Is A Dynamodbmapper Class And How Does It Work?

Answer: 

The DynamoDB's entry point is the mapper class. It allows users to access the endpoint and input the DynamoDB. Users can use the DynamoDB mapper class to retrieve data stored in various databases, run queries, scan them against the tables, and perform CRUD activities on the data items.


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Ques: 20). What is the RDS interface, and how does it work?

Answer: 

To use the RDS service, Amazon provides an RDS interface. An RDS interface is required to interact with the RDS service, such as reading data, uploading data, and running other programmes.

The GUI Console, Command Line Interface, and AWS API are the three main interfaces available.

A GUI Console is the most basic interface via which users can interact with the RDS Service.

The Command Line Interface (CLI) provides you with CLI access to the service, allowing you to run DB commands and interact with it.

An AWS API is an Application Programming Interface that allows two systems to exchange data.


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Top 20 Aws Cloudwatch interview Questions & Answers

  

Ques: 1). What Is Amazon Cloudwatch and How Does It Work?

Answer:

CloudWatch is an AWS monitoring service that keeps track of your cloud resources and the applications you run on them. CloudWatch may be used to gather and track metrics, monitor log files, and generate alarms. EC2 instances, DynamoDB tables, and RDS DB instances may all be monitored with CloudWatch.

Amazon CloudWatch is a management tool for system architects, administrators, and developers, and it is part of the Amazon Web Services family.

 

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Ques: 2). What's the difference between CloudTrail and CloudWatch, and how do I use them?

Answer:

CloudWatch keeps track of the health and performance of AWS services and resources and generates reports on them. CloudTrail, on the other hand, keeps track of all of the activities that take place in your AWS environment.


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Ques: 3). What platforms are compatible with CloudWatch Logs Agent?

Answer:

The CloudWatch logs agent is compatible with a wide range of operating systems and platforms. The following is a list of similar items:

  • CentOS
  • Amazon Linux
  • Ubuntu
  • Red Hat Enterprise Linux
  • Windows


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Ques: 4). What Are Amazon Cloudwatch Logs, and What Do They Mean?

Answer:

Using your existing system, application, and custom log files, Amazon CloudWatch Logs allows you to monitor and troubleshoot your systems and applications. You may monitor your logs in near real time with CloudWatch Logs for specific phrases, values, or patterns. You could, for example, set an alarm for the amount of failures in your system logs or look at graphs of web request latency from your application logs. The original log data can then be viewed to determine the source of the problem. You don't have to worry about filling up hard discs because log data may be saved and accessed endlessly in very durable, low-cost storage.


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Ques: 5). What Cloudwatch Access Management Policies Can I Implement?

Answer:

You can select which CloudWatch actions a user in your AWS Account can execute using CloudWatch's integration with AWS IAM. IAM cannot be used to restrict access to CloudWatch data for individual resources. You can't grant a person access to CloudWatch data for just one group of instances or a single LoadBalancer, for example. Permissions provided by IAM apply to all cloud resources used by CloudWatch. Furthermore, the Amazon CloudWatch command line tools do not support IAM roles.


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Ques: 6). What is a CloudWatch Alarm, and how does it work?

Answer:

CloudWatch Alarms is a new feature that allows you to monitor CloudWatch metrics and receive warnings when they go outside of the levels (high or low thresholds) you designate. There can be several Alarms for each statistic, each with its own set of actions.

A CloudWatch Alarm's state is always one of three things: OK, ALARM, or INSUFFICIENT DATA. When the metric is inside the permissible range that you've set, the Monitor is in the OK condition. It enters the ALARM state when it hits a particular threshold. When the data needed to make a judgement is absent or incomplete, the monitor enters the INSUFFICIENT DATA state.


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Ques: 7). What Is The Average Metric Retention Period?

Answer:

The following is how CloudWatch stores metric data:

For 3 hours, data points with a period of less than 60 seconds are available. These data points are bespoke measurements with a high resolution.

Data points with a period of 60 seconds (1 minute) are available for 15 days, 300 seconds (5 minutes) are available for 63 days, and 4) data points with a metric of 3600 seconds (1 hour) are available for 455 days (15 months). Data points with a shorter duration of publication are aggregated together for long-term storage.


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Ques: 8). When should I use a custom metric instead of sending a log to Cloudwatch Logs?

Answer:

Custom metrics, CloudWatch logs, or both can be used to keep track of your data. If your data, such as OS process or performance measurements, is not already produced in log format, you may want to utilise custom metrics. You may also create your own app or script, or use one offered by an AWS partner. CloudWatch Logs can be used to store and save specific measurements as well as supplementary information.


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Ques: 9). Is There Anything I Can Do With My Cloudwatch Logs?

Answer:

CloudWatch Logs can monitor and store logs to help you understand and operate your systems and applications better. No code modifications are necessary when using CloudWatch Logs with your logs because your existing log data is used for monitoring.

 

Ques: 10). What is Amazon CloudWatch Synthetics, and how does it work?

Answer:

You may use Amazon CloudWatch Synthetics to create canaries, which are programmable scripts that run on a schedule, to monitor your endpoints and APIs. Canaries follow the same paths as customers and do the same actions, allowing you to validate your client experience even when there is no customer activity on your apps. Using canaries, you can notice problems before your customers do.

Synthetic monitoring is a technique for assessing a website or online service's availability, performance, and functionality by mimicking visitor queries.

 

Ques: 11). Is it possible to use regular expressions with log data?

Answer:

Regular expressions are not supported by CloudWatch Metric Filters. Consider using Amazon Kinesis and connecting the stream to a regular expression processing engine to handle your log data with regular expressions.

 

Ques: 12). Canaries in Amazon CloudWatch Synthetics are what they sound like.

Answer:

Canaries are scripts that are written in Node.js or Python. Users construct Lambda functions in your account using Node.js or Python as a framework. The HTTP and HTTPS protocols are both supported by Canaries.

 

Ques: 13). How Do I Get My Log Data Back?

Answer:

The CloudWatch Logs console or the CloudWatch Logs CLI can be used to retrieve any of your log data. The Log Group, Log Stream, and time with which the log events are related are used to obtain them.

 

Ques: 14). What Are the Different Thresholds I Can Use To Set A Cloudwatch Alarm?

Answer:

When you create an alarm, you must first select the CloudWatch statistic that it will track. The next step is to select an evaluation period and a statistical value to assess. Set a target value and choose whether the alarm will be triggered if the value is more, equal, or less than that value to create a threshold.

 

Ques: 15). What is Amazon CloudWatch ServiceLens, and how does it work?

Answer:

Amazon CloudWatch ServiceLens is a new tool that allows you to visualise and analyse the health, performance, and availability of your applications in a single location. All public AWS Regions that offer AWS-X-Ray support Amazon CloudWatch ServiceLens.

 

Ques: 16). What are CloudWatch Metric Streams, and how can I use them?

Answer:

CloudWatch Metric Streams is a feature that lets you broadcast CloudWatch metrics endlessly to a location of your choice with very little setup and administration. It's a completely managed solution that takes care of everything for you, including writing code and maintaining infrastructure. With a few clicks, users can setup a metric stream to destinations like Amazon Simple Storage Service (S3). Users might also submit the analytics to a variety of third-party service providers to keep their operational dashboards up to date.

 

Ques: 17). What Can Amazon Cloudwatch Metrics Tell Me?

Answer:

CloudWatch allows you to monitor AWS cloud resources as well as the AWS packages you use. EC2 times, EBS volumes, ELBs, Autoscaling agencies, EMR process flows, RDS DB times, DynamoDB tables, ElastiCache clusters, RedShift clusters, OpsWorks stacks, Route 53 fitness assessments, SNS topics, SQS queues, SWF workflows, and Storage Gateways are among the AWS services and products for which metrics are automatically provided. You can also view custom metrics generated by your own applications and services.

 

Ques: 18). How do I send Grafana from CloudWatch metrics?

Answer:

1. Install Grafana : Follow the steps to Install Grafana.

2. Go to AWS -> IAM -> Policies.

3. Add below JSON in policy -> Create Policy:

{

   "Version": "2021-10-23", -- current Date

   "Statement": [

       {

           "Sid": "AllowReadingMetricsFromCloudWatch",

           "Effect": "Allow",

           "Action": [

               "cloudwatch:ListMetrics",

               "cloudwatch:GetMetricStatistics",

               "cloudwatch:GetMetricData"

           ],

           "Resource": "*"

       },

       {

           "Sid": "AllowReadingTagsInstancesRegionsFromEC2",

           "Effect": "Allow",

           "Action": [

               "ec2:DescribeTags",

               "ec2:DescribeInstances",

               "ec2:DescribeRegions"

           ],

           "Resource": "*"

       }

   ]

}

4. IAM -> Roles -> Create Role -> Select AWS Service / EC2

5. Attach Permission policies

6. IAM -> Users and click Add User ->Attach existing policies -> copy Access Key ID, your Secret Key

7. EC2 -> Instances-> Select Grafana Server and click on Actions -> Instance Settings -> Attach/Replace IAM Role -> Attach your Grafana IAM Role to the instance.

8. Log in to your Grafana Server using Terminal as root user and provide Access Key ID, your Secret Key:

# vim /usr/share/grafana/.credentials

aws_access_key_id = 000000000000

aws_secret_access_key = 0000000000

region = us-west-2


# chmod 0644 .credentials

9. Grafana -> Navigate to Data Sources -> Select CloudWatch Type

10. Create Dashboard -> Select Graph -> Select Panel Title -> edit and provide namespace.


Ques: 19). Is it possible to use IAM roles with the CloudWatch logs agent?

Answer:

Yes, the CloudWatch logs agent has access to both keys and IAM roles and is capable of supporting and working with IAM.

Amazon Key Management Service (AWS KMS) is a managed service that integrates with a number of other AWS services. You can use it to create, store, and control encryption keys in your applications to encrypt your data. AWS KMS Key Management Service is a service that allows you to manage your keys on Amazon Web Services.

 

Ques: 20). How does AWS CloudWatch handle authentication and access control?

Answer:

Use IAM users or roles to control who has access.

To manage access control, use Dashboard Permissions, IAM identity-based policies, and service-linked roles.

Permissions policies define who gets access to what and when.

Policies based on an individual's identity

Policies based on resources

You can't utilise CloudWatch Amazon Resource Names (ARNs) in an IAM policy because there aren't any. When designing a policy to control access to CloudWatch actions, replace the resource with a * (asterisk).




November 22, 2021

Top 20 Aws Lambda Interview Questions & Answers

 

Ques: 1). What exactly is AWS Lambda?

Answer:

AWS Lambda is a serverless computing solution that is one of the best on the market. It enables you to run code without the need for server management or setup. When you consume data, you must pay for the computation time. When you are not running your code, there are no fees to pay. You may use Lambda to run code for any application or backend service virtually, without having to worry about management. All you have to do is upload the code, and Lambda will handle the rest. Lambda is a high-availability service that runs and scales your code. You may even set up the code to call it straight from the mobile app or the web, or from any other AWS accessible.


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Ques: 2). What is the purpose of Lambda?

Answer:

If you need a rapid, one-time function that accomplishes something simple and doesn't require long-running operations or expensive calculations, and you only need it to execute for a brief amount of time, Lambda functions are ideal. They can be provided as parameters into higher-order functions, making them handy in situations when other types of code might not be suitable for the task at hand.


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Ques: 3). What types of programmes can be run on AWS Lambda?

Answer:

AWS Lambda makes it simple to complete a variety of tasks in the cloud. AWS Lambda, for example, can be used to fetch and transform data from Amazon DynamoDB in mobile back-ends. Other tasks that may be done in the cloud with the help of AWS Lambda include handlers that alter and compress objects when they are uploaded to Amazon S3, server-less streaming data processing with Amazon Kinesis, and reporting and auditing of API calls made to any of Amazon's Web Services.


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Ques: 4). What distinguishes Lambda as a time-saving strategy?

Answer:

This is for a variety of reasons. The first is that everything can be stored in the local server memory. Furthermore, data can be directly stored in the database without compromising performance. Additionally, testing is not very difficult. Multiple vendors can simply make integration testing more powerful.


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Ques: 5). What are your thoughts on Auto-Scaling?

Answer:

It's essentially an Amazon Web Services capability that allows you to automatically configure and start up new instances. The good news is that you are not required to intervene at any point. Users may, however, keep track of everything using metrics and criteria. Simply cross a threshold to activate this task, and you'll notice that the instances have scaled horizontally without any intervention.


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Ques: 6). How can a serverless application be automated?

Answer:

An AWS CodePipeline and an AWS CodeDeploy can be used to automate the serverless application's release process. The CodePipeline is a continuous delivery service that allows for the modelling, visualisation, and automation of essential procedures, allowing for the deployment of server-less applications. For Lambda-based apps, CodeDeploy also has an automated deployment engine. It enables you to coordinate deployments using best-practice approaches such as canary and linear deployments, as well as assisting you in establishing major barriers to ensure that the newly deployed software is secure, stable, and ready for industrial usage.


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Ques: 7). What is the best way to troubleshoot a serverless application?

Answer:

By adding X-Ray permissions to the Lambda function's role of execution and changing the function's "mode of tracing" to "active," a Lambda function can be activated for tracking with AWS X-Ray. When you enable X-ray for Lambda functions, AWS Lambda will provide tracing data to X-Ray, including information about the Lambda service used to invoke the function. This will show you the overhead of the Lambda service, the time it takes to execute a function unit, and the time it takes to execute a function. Also, the X-Ray SDK can be included in Lambda deploying the package to create one’s segments of the trace, annotate one’s marks, or view the trace segments for various downstream calls that are made from Lambda function. X-Ray SDKs are presently available for Node.js and Java. Visit the Troubleshooting applications based on Lambda to learn more. AWS X-Ray rates shall apply.


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Ques: 8). Is there a limit on how many AWS Lambda functions may be run at the same time?

Answer:

No. AWS Lambda is built to run multiple instances of functions at the same time. AWS Lambda, on the other hand, has a safety threshold set by default for some consecutive runs for each account per region. The maximum number of times a single AWS Lambda function can be executed in a row can be adjusted, which can be used to set aside a portion of the account concurrency threshold for key functions or reduce traffic rates to downstream resources.


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Ques: 9). What is the definition of a server-less application?

Answer:

Lambda-based apps (also known as server-less applications) are built up of functions that are triggered by different events. One or more of these methods are triggered by events such as object upload to Amazon S3, Amazon SNS, or API activities in a standard server-less application. The functions can work independently or in conjunction with other resources such as DynamoDB tables or Amazon S3 buckets. A function is the most common serverless application.


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Ques: 10). What precisely is deployment automation?

Answer:

It's a lot like programming in another language. However, it alleviated many of the difficulties. The nicest part is the deployment of a pipeline that can be readily built as one gains experience. Automated Deployment reduces human intervention and assists enterprises in ensuring quality-based and best-in-class outcomes.

 

Ques: 11). What are the features of AWS Lambda that make deployments more automated?

Answer:

AWS lambda supports a variety of environmental factors. When it comes to altering the deployment package, they can be utilised for data and a variety of additional credentials. It also allows aliases because it's a serverless technique. There are a few categories that you may simply think about, such as stage production and development. As a result, functions may be readily evaluated for testing without disrupting the production code. Because the end-point does not change frequently, it is possible to keep up with the task's pace.

 

Ques: 12). What are the benefits of employing a server-less approach?

Answer:

To begin with, this technique features straightforward procedures that allow for a faster time to market and increased revenue. Users only have to pay when the code is compiling, therefore increasing profitability can save a lot of money. Managing the components of the larger application is also not difficult. Furthermore, the additional infrastructure is not required. The biggest advantage is that customers don't have to worry about the servers where the code is run.

 

Ques: 13). What is the definition of an external extension? What are some external Lambda runtime extensions?

Answer:

An external extension is one that continues to execute as a separate process in the execution even after the function call has completed. External extensions for Lambda runtimes include:

  • NET Core 3.1 (C#/PowerShell) ( dotnetcore3. 1 )
  • Custom runtime ( provided )
  • Custom runtime on Amazon Linux 2 ( provided. al2 )
  • Java 11 (Corretto) ( java11 )
  • Java 8 (Corretto) ( java8. al2 )

 

Ques: 14). Is it possible to scale Amazon Instance vertically? If so, how would you go about doing it?

Answer:

Yes, it is feasible to scale an Amazon Instance vertically. Here's how to do it:

  • On top of the already controlling instance, form and twist a new enormous instance.
  • Try delaying the present instance and separating the source web mass of dispatch and the server.
  • The next step is to terminate your current instance and detach it from the source quantity.
  • Make a note of the new machine ID and use the same source mass on your new server.

 

Ques: 15). What are the many ways to activate Lamda?

Answer:

Lambda can be triggered in three different ways.

API Gateway event:

These are what are known as standard events. When someone calls an API Gateway For Lambda, it will call your lambda function. If you're using the Serverless Framework, you'll need to specify which event type was triggered in the configuration, or serverless.yml.

S3 events:

S3 events happen when someone(s) changes the contents of an S3 bucket. A file can be created, removed, or updated to change the content. When you specify an event, you can choose whether the lambda function creates, destroys, or changes a file.

DynamoDB events:

When someone makes a modification to a record in a DynamoDB table, all of the changes are immediately published in a stream, and the lambda is triggered because there is data in the stream. When there is data in the stream, Lambda can be activated in two different ways. First, the lambda will only be called once if there is specific data in the stream, such as a single database change at a specific time. The second method Lambda is activated is when a stream of events is processed together. Because streams are rather rapid, this significantly reduces the amount of time spent running.

 

Ques: 16). What are the drawbacks of a serverless architecture?

Answer:

Everything in the Aws lambda has its own set of advantages and disadvantages, depending on the task at hand.

In the serverless technique, the upper limit is strictly on vendor control, which results in higher downtime.

Other difficulties include the loss of system operation and the system's constraints. AWS serverless solution requires dedicated hardware, which is not available.

Most of the time, it is the customer's blunders that cause the issues.

 

Ques: 17). What are the best security techniques in Lambda?

Answer:

In terms of security, Lambda has some of the best solutions. Identity Access and Management can be used. When it comes to regulating access to resources, this might be advantageous. Another option is privilege, which essentially expands the permissions. Access might be blocked to untrustworthy or unauthorised hosts. The security group has regulations that can be reviewed over time to stay up with the pace.

 

Ques: 18). In Lambda, what is SQS? What function does it have?

Answer:

SQS is essentially a method for sharing and transmitting information between hosts and connectors. Different Lambda components can be made available, or in other words, communication can be enabled. Even if the functional components aren't the same, they can be linked together. This strategy can eliminate a lot of failures, and components can communicate well with one another.

 

Ques: 19). In Lambda, what are Final Variables and Effectively Final Variables?

Answer:

Final variables are ones that can't be changed once they've been assigned. They are called essentially variable when they are in an early stage where any type of change is possible. They have yet to be assigned a value. In many circumstances, the outcome is required without constraint, which is why effective variables are used. They can also help with testing. Effective Variables can be used to empower final variables with a variety of additional capabilities. In Lambda, the majority of local expressions are final.

 

Ques: 20). What are the different types of storage that Amazon offers?

Answer:

There are a variety of storage options for Amazon Lambda, and the main thing to remember is that all of them are the finest in terms of durability and performance. It would not be a problem if you used them together. Accessibility for people with disabilities is also available. Let me give you a few examples, such as EBS, which is a storage tool that is essentially block-level storage. This comes with encryption capabilities, and it's an excellent alternative to think about if your system requires independent storage. The next category is EC2 instances, which are storage discs that are directly attached to the host PC.

This sort of storage is only employed for a short period of time. After then, the user can think about good storage. Until the instances are valid, the user data will be valid. The user can utilise this storage to run instances. The next type is Adding storage -> this is a type of root storage device. This is where you'll find information on the boot instance. The third type is Amazon S3, which is another AWS lambda storage option that is considered a low-cost alternative that can store any quantity of data.



Top 20 Aws Cloud Support Engineer Interview Question & Answers

  

Ques: 1). What is the purpose of Amazon Web Services (AWS) cloud services?

Answer: 

"Storage," as this is the primary purpose of AWS cloud services. Customers can store several types of material on the Amazon online service, including videos, music files, movies, images, files, and documents. This is a common AWS cloud support engineer interview question that can be asked during the main portion of your interview.

 

BlockChain Interview Question and Answers


Ques: 2). In what way does Amazon Web Services appear to be ideal?

Answer: 

This is a very basic but common AWS Cloud Support Engineer interview question, and the candidate's response can be stated as follows:

The Amazon Web Servers are capable of performing a wide range of tasks. Customers can select the level of assistance and support they require from AWS based on the services they desire. Amazon Web Service (AWS) provides the following services:

  • High storage
  • Monitoring & Analytics
  • Security and safety
  • Networking
  • Databases
  • Compute power

These services will always be there for the clients of Amazon Web Services. For more details about the services, you can browse the official web page of Amazon Web Service (AWS).


AWS RedShift Interview Questions & Answers


Ques: 3). What Attracts You To This Position?

Answer:

I want to help the company grow and level up by providing safe database storage, content distribution, cloud services, and computer power. I've also been keeping up with your company's recent trends, and I've seen that what you're doing is exactly what I'm interested in. I'm excited to be a part of your team. I believe this position will provide me with a tremendous opportunity to help you improve in this field.


AWS Lambda Interview Questions & Answers


Ques: 4). What networking commands do you use on a daily basis to troubleshoot problems?

Answer:

When working with servers, whether real or virtual, the first command that comes to mind is traceroute, which may be used to find the request response path taken. Tracert is the corresponding command on Windows platforms.

Ping, ipconfig, and ifconfig are some other useful commands that deal with network communication, network addresses, and interface settings.

DNS commands – nslookup, Lookup of /etc/resolv.conf file in Linux systems to get details on DNS


AWS Cloudwatch interview Questions & Answers


Ques: 5). Tell us about your proudest achievement.

Answer:

My most significant accomplishment was in my former work as a cloud specialist. I worked for a firm that was experiencing a shortage of cloud professionals at the time. Adding more cloud professionals to the tea sounded expensive because the company was small. I recommended to the company's president how we could automate some tasks. I helped him because he didn't know what to do. Some operations, such as backups at specific intervals and resource pattern monitoring, become simple to automate. At the end of the day, the corporation was able to achieve its goal while spending very little money.


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Ques: 6). What do you think the most difficult aspect of this job will be?

Answer:

Lack of experience and resources will be one of the primary issues that businesses will encounter in the near future. Technology is rapidly advancing as firms continue to shift more workload to the cloud. It's becoming difficult to keep up with the correct tools. This has necessitated further training in order for me to be prepared to deal with these difficulties if they affect our organisation.


AWS DevOps Cloud Interview Questions & Answers


Ques: 7). What services does AWS typically provide to its customers?

Answer: 

Everyone knows that Amazon Web Services (AWS) is a very dependable and trusted web service. It's a safe and secure web or cloud services platform that may propel your company to new heights of success. This type of question is the most popular and falls under the category of Amazon Support Engineer interview questions. This means that you must first clear your fundamentals in order to pass or crack this interview. You can find such basic questions among AWS cloud interview questions if you are prepared for an AWS interview.

To assist its clients, AWS provides computational power, database storage, content distribution, and a variety of other related support services. Customers all around the world have already chosen the AWS platform, products, and solutions to develop dependable applications with increased flexibility and reliability. It's a fantastic IT infrastructure platform for both small and large organisations.


AWS(Amazon Web Services) Interview Questions & Answers


Ques: 8). When a person types the domain name into a web browser, how can you bring the website content back to them?

Answer: 

As you may be aware, every website has its own domain name system (DNS). As a result, the DNS and each website would be assigned a unique internet protocol or IP address. When entering a domain name into a web browser, the following scenarios may arise:

  • Your input or signal will be received as a request by the web server hosting services. Following that, the web server hosting firm will undoubtedly respond to your request with appropriate outcomes.
  • When you use a browser, it sends a request to the internet protocol address, which is linked to the domain name automatically.
  • The IP address is sometimes returned to the user by the domain name system.
  • To deliver back the website content to the users, the web browser will contact a domain name system.

The salary of a cloud support engineer in AWS is determined by your abilities and performance during the AWS support interview. So, if you want a higher income in your AWS work, make sure you answer the interviewer's questions properly and confidently.


AWS Database Interview Questions & Answers


Ques: 9). Give some instances of typical networking commands you've used.

Answer:

It's worth noting that the AWS stack is mostly based on Linux, and its cloud design makes it extremely network-dependent. As a result, regardless of your history as a system administrator, database administrator, or bigdata administrator, your AWS interview could be about networking. Learn how to use these basic networking commands:

The first step when a system is unreachable is to ping the host to ensure it is up and functioning.

ping host – This pings the host and output results

Domain related commands as AWS has become preferred hosting for major itnernet based companies, SaaS firms

To get DNS information of the domain use – dig domain

To get whois information on domain use – whois domain

Host reverse lookup – dig -x host

Download file – wget file

To continue stopped download – wget -c file


ActiveMQ Interview Questions & Answers


Ques: 10). What does the term "fault tolerant" mean?

Answer: 

When a set number of failures and issues occur, the fault tolerant process is used to control or manage the faults. It's one of the AWS Cloud's most critical self-healing features. This has become a crucial Amazon AWS cloud support engineer interview question and answer because, while the question appears easy, the answer is really complex.

It is a system property that allows a system to work or continue to work in the face of numerous failures at any moment. It is a computer system capability that makes the work of users much more reliable. Such systems are intended to safeguard any present functional system against numerous failures that may occur at any given time. It ensures that any network or system maintains the needed level of continuity in order to avoid the negative effects of interruptions.

 

Ques: 11). What exactly is a procedure? In Linux, how do you manage processes: -

Answer:

When a command is issued in a Linux/Unix based OS, a process is launched or created. In simple terms, an instance of a programme is produced while it is running in an operating system. This is how it works. Process management commands are useful in Linux for managing processes.

ps – this is the commonly used process management command to start with. ps command provides details on currently running active processes.

top – This command provides details on all running processes. ps command lists active processes whereas top lists all the processes (i.e) activity of processor in real-time. This includes details on processor and memory being used.

kill – To kill a process using the process id kill command is used. ps command provides details on process id. To kill a process issue kill pid.

killall proc – This command is same as kill command. To kill all the processes by name proc we can use this

 

Ques: 12). In Amazon Web Services, Emphasize The Importance Of Buffer.

Answer:

An Elastic Load Balancer ensures that incoming traffic is spread as efficiently as possible across multiple AWS instances. A buffer will synchronise several components and make the setup more elastic in the event of a burst of load or traffic. The components are prone to receiving and processing requests in an unreliable manner. The buffer produces an equilibrium between diverse devices and crafts them to function at the same rate, allowing for faster service delivery.

 

Ques: 13). What Is An Amazon Web Services Availability Zone?

Answer: 

A collection of your AWS resources is made up of availability zones (within a region). For high availability and fault tolerance, properly built applications will use several availability zones. Each AZ has a low-latency direct connection to the others, and each AZ is separated from the others to ensure fault tolerance.

 

Ques: 14). What Happens When A User Types A Domain Name Into A Web Browser? 

Answer:

A DNS server is contacted by the web browser, which requests the IP address associated with the domain name.

The IP address is returned to the Browser by the DNS server.

A request (for content) is sent by the browser to the IP address associated with the domain name.

The request is received by the web server holding web content, which then provides the web content back to the user.

 

Ques: 15). What are the various kinds of routing protocols?

Answer:

The routing protocol is a crucial word that describes how different routers communicate. The routing protocol can be implemented by two nodes in a computer network. The following are some of the most often used routing protocols:

  • Routing information protocols (RIP)
  • Interior Gateway Protocol (IGP)
  • Open shortest path first (OSPF)
  • Exterior Gateway Protocol (EGP)
  • Border Gateway Protocol (BGP)
  • Intermediate system to intermediate system (IS-IS)

These are some of the most commonly utilised routing kinds among system users. The interviewer may pose this topic as one of the most typical AWS cloud support engineer interview questions. So, remove your doubts regarding the network, infrastructure, and other related topics before embarking on such interviews.

 

Ques: 16). What Does The Elasticity Concept Mean For AWS Consumers and Enterprise Users?

Answer:

Elastic systems allow for the rapid addition and subtraction of servers as demand (user base) on a web application increases and drops. Getting rid of unused servers might save a lot of money.

 

Ques: 17). What is the primary distinction between a private and a public subnet?

Answer:

A private subnet normally directs traffic to a NAT instance. In the private subnet, only private IP and internet traffic is routed. A public subnet, on the other hand, requires a public IP address to communicate. The major distinction between a private and a public subnet is this.

 

Ques: 18). How would you persuade a customer to switch to AWS?

Answer: 

These types of questions might be posed during your interview to assess your mental agility, persuasion power, and speaking ability. As a candidate, you must remain cool and optimistic under such circumstances. If this question is asked during your interview, you must respond honestly. You can state things like "I have experience dealing with such customers" and "I have knowledge and expertise dealing with such consumers," and so on in your response. You can persuade customers by describing the capabilities and advantages of using the AWS cloud. As a result, job candidates can readily respond to this question based on their degree of thinking and speaking ability.

 

Ques: 19). Do you understand how the internet works in your area?

Answer: 

There are several internet tiers and web servers available all over the world, which serve as the internet's communication path. Without the internet's ingenuity, sharing could not have progressed as quickly as it has. 

Circuit switching is a word used on the internet to describe how the internet works in your current context. Another internet technology is packet switching, which makes it much easier for the internet to communicate or distribute information. This is one of the most common AWS cloud support engineer interview questions because it gives you some fundamental internet knowledge.

Packing switching is the process of separating a single internet server into numerous servers. There is no requirement for a physical path for the computer. The internet's supporting equipment would be sufficient to enable better and more dependable internet sharing among a large number of computers.

 

Ques: 20). In Linux or UNIX-based operating systems, how can you easily manage processes?

Answer:

When a user types a command into a Unix operating system, it starts working. When an operating system is started, an instance is created automatically. To manage processes in Linux OS, I would use the PS processing command. This command displays information about the currently running processes and activities. When running Linux, I can also use TOPIS as a process management tool. 

This command can be used to acquire statistics about the operating system's activity. To kill running processes, I would also use the Kill command. In a Linux-based operating system, press Ctrl+Alt+Del to terminate all programmes. I would use the killall command. With these commands, I would be able to take full control of the operating system and manage its processes effectively.