Showing posts with label virtualization. Show all posts
Showing posts with label virtualization. Show all posts

April 17, 2022

Top AWS Cloud Interview Questions and Answers Part - 1

Ques. 1): What do you mean by AWS Cloud?


AWS provides cloud computing and APIs to businesses and consumers all around the world. AWS provides enterprises and individuals with a variety of services, including processing power, database services, content distribution, and more. On a metered basis, organizations must pay for the AWS services they consume.

With the help of AWS tools and services, a company can create a distributed computing environment. Many organizations, corporations, and people in India use Amazon Web Services (AWS), which was founded in 2002 for web services and 2006 for cloud computing. It is also used by some Indian government agencies.

There are numerous cloud computing platforms available. However, AWS stands out from the competition due to its versatility and cost-effective cloud computing options. AWS currently offers over 200 services and solutions in domains such as IoT (Internet of Things), mobile development, data analytics, networking, and more.

Because AWS provides developer APIs for many of its services, they are not directly available to end consumers. The AWS web services are also commonly utilized for business purposes over HTTP.

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Ques. 2): What are the different pricing models for Amazon EC2 instances?


This is a crucial AWS interview question for experienced candidates. Continue reading to learn about additional AWS interview questions and answers for experienced/senior positions.

The following are the four different pricing models for Amazon EC2 instances:

On-demand pricing, also known as pay-as-you-go, allows you to pay just for the resources you've utilised thus far. Depending on the instances, you will have to pay for the resources utilised by the second/hour. If the work hours are short and unpredictable, the on-demand pricing model is ideal because it does not involve any upfront payment.

Reserved instance — If you have a requirement for your upcoming requirements, this is the best approach to use. Firms calculate their future EC2 needs and pay in advance to receive a discount of up to 75%. Reserved instances will save you computational resources and can be used anywhere you need it.

Spot Instance - If more computing capacity is required immediately, spot instances can be purchased at a discount of up to 90%. The spot instance pricing approach is used to sell underutilized computing resources at a substantially discounted rate.

Dedicated hosts - Customers who choose the dedicated hosts price model can reserve an actual EC2 server.

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Ques. 3): Your company has made the decision to move its business processes to the cloud. They do, however, want some of their data and information to be accessible solely by the management team. The remaining resources will be split among the firm's personnel. You must recommend an appropriate cloud architecture for your company, as well as the explanation for your selection.


This is one of the most important AWS interview questions. AWS interview questions focused on scenarios emphasize the candidate's experimental expertise and industrial attitude.

For my company, I will recommend a hybrid cloud design. The ideal blend of private and public clouds is found in hybrid cloud architecture. In my firm, the public cloud can be used in a hybrid design for shared resources. Only a private cloud can be used to exchange confidential resources with the management team.

By using a hybrid cloud architecture in our company, we may benefit from both private and public cloud services. A hybrid cloud allows data to be accessed at different levels within an organization/firm, depending on the data security requirements. It will help our company save money in the long term.

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Ques. 4): Explain RTO and RPO in terms of AWS.


The maximum waiting time for resuming of AWS services/operations during an outage/disaster is referred to as RTO (Recovery Time Objective). Firms must wait for the recovery process due to unanticipated failure, and the RTO is the maximum waiting time for an organization. When a company first starts utilizing AWS, they must define their RTO, which is also known as a metric. It specifies how long businesses can wait for apps and business processes to recover on AWS in the event of a disaster. As part of their BIA, businesses compute their RTO (Business Impact Analysis).

RPO (Recovery Point Objective) is a business statistic that is calculated as part of a business's BIA, just like RTO. RPO is the maximum quantity of data a company can afford to lose in the event of a disaster. Within the recuperation period, it is measured in a certain time range. The frequency of data backup in a firm/organization is also defined as RPO. If a company uses AWS services and its RPO is three hours, all of its data and disc volumes will be backed up every three hours.

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Ques. 5): What are S3 storage classes, and how can you differentiate between the many sorts of S3 storage classes?


For data integrity and to help with concurrent data loss, Simple Storage Service (S3) storage classes are used. Any item you store in S3 will be assigned to a specific storage class. It also assists in the maintenance of the object lifecycle, which aids in automatic migration and so saves money. The following are the four types of S3 storage classes:

S3 Standard — The S3 standard storage class duplicates and stores data across several devices in diverse facilities. The S3 standard can cope with the loss of up to two facilities at the same time. It delivers greater endurance and availability due to its low latency and high throughput.

S3 Standard IA – 'S3 Standard Infrequently Accessed' is utilized in situations where data is not accessible often but must be accessed quickly when needed. It, like S3 Standard, can withstand data loss at a maximum of two sites at the same time.

S3 One Zone Infrequent Access - Many of the features are comparable to those of S3 Standard IA. The main distinction between S3 one zone infrequent access and the rest of the storage classes is that S3 one zone infrequent access has a low availability of 99.5 percent. S3 standard and standard IA are both 99.99 percent available.

S3 Glacier - When compared to other storage classes, S3 Glacier is the least expensive. The data in the S3 glacier can only be used for archiving purposes.

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Ques. 6): In AWS, what is a policy? Briefly describe the many sorts of AWS policies.


A policy is an AWS object that is connected with a resource and determines whether or not a user request should be granted. The following are the six main types of policies available in AWS:

Identity-based policies are those that deal with a single identity user, several users, or a certain job. Permissions are stored in JSON format in identity-based policies. They're also separated into two categories: managed and inline policies.

Resource-based policies — In AWS, resource-based policies refer to policies that deal with resources. The S3 bucket is an example of an AWS resource.

Rights boundaries – Permissions boundaries determine the maximum number of permissions that identity-based policies can grant to an object/entity.

SCP (Service Control Policies) - SCP (Service Control Policies) are likewise recorded in JSON format and establish the maximum amount of permissions that a firm/organization can have.

ACL (Access Control Lists) - The principles in another AWS account that can access the resources are defined by ACL (Access Control Lists). It's also the only AWS policy that doesn't use the JSON format.

Session policies — Session policies provide a restriction on how many rights a user's identity-based policies can grant.

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Ques. 7): You've recently assigned numerous EC2 instances across different availability zones for your business website. You've also used a Multi-AZ RDS DB instance because your website does a lot of read/write operations per minute (extra-large). Everything was going according to plan until you noticed RDS MySQL read congestion. How are you going to address this problem in order to improve your website's performance?


One of the most common technical AWS interview questions is this one. Candidates should not only be familiar with AWS' cloud deployment capabilities, but also with Amazon's database services.

ElastiCache will be installed and deployed in the various availability zones of EC2 instances. By deploying ElastiCache in the memory caches of various availability zones, a cached version of my website will be created in each zone. For better website performance, an RDS MySQL read replica will be added to each availability zone. Since the 'RDS MySQL read replica' has been added to each availability zone, the RDS MySQL instance will not be overloaded, thus resolving the read contention issue. Users can also view my website rapidly in different availability zones because each zone has a cached version.

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Ques. 8): In AWS, describe the various types of elastic load balancers.


Three different types of load balancers are supported by AWS elastic load balancing. Load balancers are used in AWS to route incoming traffic. In AWS, there are three types of load balancers:

Application load balancer - The application load balancer is in charge of the application layer routing decisions. At the HTTP/HTTPS level, it performs path-based routing (layer 7). It also aids in the distribution of requests to different container instances. Using the application load balancer, you can send a request to many ports in the container instances.

Network load balancer - The network load balancer is concerned with transport layer (SSL/TCP) routing decisions. It determines the target on the port from a group of targets using a flow hash routing method. Once the target has been chosen, a TCP connection is created with the target using the known listener setup.

Classic load balancer - A traditional load balancer can choose between the application and transport layers. The basic load balancer allows you to bind a load balancer port to only one container instance (fixed mapping).

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Ques. 9): Briefly describe the various AWS RDS database types.


The following are the different types of AWS RDS databases:

Amazon Aurora - The Aurora database was built entirely in AWS RDS, which means it can't run on any local device connected to the AWS cloud. Because of its increased availability and speed, this relational database is chosen.

PostgreSQL — PostgreSQL is a relational database designed specifically for AWS developers and start-ups. This open-source database is simple to use and aids users in growing cloud deployments. PostgreSQL deployments are not only quick, but also cost-effective (economical).

MySQL is another open-source database that is popular in cloud installations because of its excellent scalability.

MariaDB — MariaDB is an open-source database that is used in the cloud to deploy scalable servers. Its  servers can be set up in the cloud in a matter of minutes. The cost of deploying a scalable MariaDB server is similarly low. MariaDB is also preferred for its administration features, including as scaling, replication, and software patching.

Oracle - Oracle is an AWS RDS relational database that can scale with its respective cloud installations. It manages numerous administrative chores in the same way that MariaDB does.

SQL server — This relational database can also handle administrative responsibilities such as scalability, backup, and replication. Multiple versions of SQL servers can be deployed in the cloud in minutes. In AWS, deploying SQL servers is also cost-effective.

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Ques. 10): What are your thoughts about AMI?


Within the EC2 environment, an AMI (Amazon Computer Image) is utilized to create a virtual machine. The services that are supplied via EC2 are only deployed via AMI. The read-only filesystem image that also includes an operating system is the most important aspect of AMI. AMI also has a launch permission that determines which AWS accounts are allowed to use AMI to deploy instances. Block device mapping in AMI determines which volumes are attached to an instance during the launching process. There are three main sorts of images in the AMI.

A public image is an AMI that may be used by any user/client, although users can also choose to utilize a 'Paid' image. You can also use a ‘Shared’ AMI that provides more flexibility to the developer. Users can access A shared AMI who are allowed as per the developer’s orders.

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Ques. 11): What are the primary distinctions between Amazon Web Services and OpenStack?


AWS and OpenStack are both in the business of offering cloud computing services to their customers. AWS is a proprietary cloud computing platform owned and distributed by Amazon, whereas OpenStack is a free and open-source cloud computing platform. AWS provides a variety of cloud computing services such as IaaS, PaaS, and others, whereas OpenStack is an IaaS cloud computing platform. Because OpenStack is open source, you can use it for free, but you must pay for AWS services as you use it.

Another key distinction between AWS and OpenStack is the ability to repeat activities. While AWS uses templates to conduct recurring tasks, OpenStack uses text files. OpenStack is useful for studying and comprehending cloud computing, while AWS is more capable and well-equipped for enterprises. AWS also offers business development tools that OpenStack does not offer.

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Ques. 12): What do you know about Amazon Web Services Lambda?


AWS Lambda is a computing platform given as part of the AWS services that performs tasks without the use of servers. Any code compiled on AWS Lambda will run in response to events, and it will automatically identify the resources needed to compile the code. AWS Lambda supports a variety of programming languages, including Node.js, Python, Java, Ruby, and others. You only pay for the time your code is performed when using AWS Lambda. When you are not using the computer, you will not be charged anything.

You may use AWS Lambda to run your code in response to HTTP requests in addition to running it in response to events. AWS Lambda will automatically manage various resources like memory, network, CPU, etc., while you run a code on it.

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Ques. 13): You must upload a file to Amazon S3 that is around 120 megabytes in size. What strategy will you use to upload this file?


A file larger than 100 megabytes can be uploaded to Amazon S3 utilizing the multipart upload feature provided by AWS. I'll be able to post the 120 megabyte file in numerous parts using the multipart upload programme. Using the multipart upload application, each part of the huge file will be uploaded separately. Once all of the original files have been submitted, they can be combined to create a 120 megabyte original file.

Using the multipart upload utility will drastically reduce the upload time. Multipart uploading and downloading can be done with AWS S3 commands. AWS S3 commands are also capable of automatically performing multipart uploading/downloading after evaluating the file size.

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Ques. 14): Describe an Amazon Web Services (AWS) service that can be used to protect AWS infrastructure against DDoS attacks.


We can use AWS Shield to protect apps running on AWS from DDoS (Distributed Denial of Service) attacks of any form. AWS Shield can detect a DDoS attack automatically and reduce application downtime and latency. All of the defensive procedures can be automated by AWS Shield, so a company does not need to contact Amazon tech support. AWS Shield Standard provides automated protection against DDoS attacks to all AWS users. The AWS Shield Advanced services, on the other hand, can be used to protect against large/organized DDoS attacks.

AWS Shield Advanced defends AWS-based applications against advanced DDoS attacks at the network and transport layers. It also provides real-time visibility and monitoring at the time of any DDoS attack on the AWS applications.

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Ques. 15): Briefly describe the various types of virtualization available in AWS.


In AWS, there are three different types of virtualization:

HVM (Hardware Virtual Machine) - HVM (Hardware Virtual Machine) aids in full virtualization of hardware, allowing all virtual hardware machines to function independently. The virtual machines run the master boot record to boot themselves after AWS AMI virtualization is completed. The master boot record is run by virtual machines on the root block device of the produced AWS machine image.

PV (Paravirtualization) is a type of virtualization that is less intensive than HVM. Before you can do anything in PV, you'll need to make some changes to the guest OS. Users can export a scalable and modified version of hardware to virtual machines with these changes.

PV on HVM – Paravirtualization on HVM can also be done for increased functionality. Operating systems can get access to storage and network I/O through the host via PV on HVM.

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Ques. 16): What are your thoughts on AWS's cross-region replication service?


Cross-region replication is utilized when data needs to be copied from one bucket to another. Cross-region replication's key advantage is that it allows you to duplicate data from one bucket to another even if the buckets are in separate areas. Cross-region replication allows for asynchronous data copying between buckets in the same AWS management panel.

The Source Bucket is the one from which the data/object is being copied, whereas the Destination Bucket is the one from which the data/object is being copied. To take use of cross-region replication, versioning should be enabled in both the source and destination buckets. Once you've uploaded a collection of data to the destination bucket, you can move on to the next step, but you cannot upload/replicate the same data from the source bucket.

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Ques. 17): What are your thoughts on Amazon's Web Application Firewall (WSF)?


AWS WAF is a firewall service that guards against web application exploits. They defend online applications against bots that might degrade application performance or spend resources unnecessarily. With the help of AWS WAF, users can manage incoming traffic to their web applications. Apart from bot traffic, AWS WAF can also protect the web application from a variety of common assaults.

Users can use AWS WAF to build traffic rules that limit specific traffic patterns from affecting the performance of web applications. AWS WAF provides an API that may be used to build a set of rules for managing incoming traffic and automate the creation of web application security rules.

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Ques. 18): Your Company has offices all over the world and is using AWS for multi-regional deployments. Your company employs MYSQL 5.6 for data durability. Your company just announced that it will be collecting batch process data from each location on a regular basis and generating regional reports. After that, the reports would be sent to various branch offices. What strategy will you recommend for completing this assignment in the lowest amount of time?


Server deployment and database-related difficulties might potentially be the subject of AWS interview questions. This is an example of an AWS interview question for a senior position.

I recommend setting up a master RDS instance to manage the firm's database. For gathering/reading reports from a variety of sources, we can create a read replica of the RDS instance in various regional headquarters. Installing a read replica at multiple locations will help us in reading reports in less time.

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Ques. 19): What are your thoughts on Amazon EMR?


Amazon EMR (Elastic MapReduce) is a web service for data processing that is frequently utilized. Amazon EMR is made up of clusters, which are groups of EC2 instances. With a set of EC2 instances, Cluster is the primary component of Amazon EMR. A node is a single EC2 instance in a cluster, and each node has a specific duty assigned to it. The role associated with each node in a cluster is defined by the node type.

A master node is also included in Amazon EMR, which is responsible for determining the responsibilities of other nodes in a cluster. The master node is also in charge of monitoring the performance of other nodes as well as the system's general health.

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Ques. 20): Describe the core services of Amazon Kinesis in brief?


Kinesis is a data streaming platform offered by Amazon. There are three core services of Amazon kinesis that are as follows:

Kinesis Streams – While data streaming, the produced data is stored in shards containing the storage sections of Kinesis Streams. The consumers can then access the data stored in shards and can turn it into useful data. Once the customers/consumers are done with the data stored in shards, it is moved to other AWS storage like DynamoDB, S3, etc.

Kinesis Firehose – Kinesis Firehose is used to deliver the streaming data to various AWS destinations like S3, Redshift, Elasticsearch, etc.

Kinesis Analytics – One can analyze the streaming data, and rich insights can be collected using Kinesis Analytics. You can run SQL queries on the data stored within Kinesis Firehose via Kinesis Analytics.

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April 15, 2022

Top 20 Google Cloud Computing Interview Questions and Answers

The Google Cloud Computing Platform is a rapidly evolving industry standard, and many organizations have a successful application that is promoted in a variety of ways. Every organization has a variety of cloud computing options, including roles such as Cloud Computing Manager, Cloud Computing Architect, Module Lead, Cloud Engineer, Cloud Computing Trainer, and so on. Below are the most often asked questions and answers in this sector, which will be useful to all candidates.

Google Cloud Platform (GCP) is a set of cloud computing services supplied by Google that run on the same infrastructure as Google's internal products, such as Google Search, Gmail, and YouTube.

Google has introduced a number of cloud services to the App Engine platform since its launch. Its specialization is offering a platform for individuals and businesses to create and execute software, and it connects those users over the internet.


Ques. 1): What do you understand by Cloud Computing?


Cloud computing is described as computer power that is entirely stored in the cloud at all times. It is one of the most recent developments in the online saga sector, and it mostly relies on the Internet, i.e. the Cloud, for delivery. The cloud computing service is genuinely worldwide, with no regional or border limits.


Ques. 2): What is the difference between cloud computing and virtualization?


        Cloud computing is a set of layers that work together to provide IP-based computing; virtualization is a layer/module inside the cloud computing architecture that allows providers to supply IaaS (Infrastructure as a Service) on demand.

        Virtualization is a software that allows you to generate "isolated" images of your hardware and software on the same machine. This allows various operating systems, software, and applications to be installed on the same physical computer.


Ques. 3): Tell us about Google Cloud's multiple tiers.


The Google cloud platform is divided into four layers:

1. Infrastructure as a Service (IaaS): This is the foundational layer, which includes hardware and networking.

2. Platform as a Service (PaaS): This is the second layer, which includes both the infrastructure and the resources needed to construct apps.

3. Software as a Service (SaaS): SaaS is the third layer that allows users to access the service provider's numerous cloud products.

4. Business Process Outsourcing: Despite the fact that BPO is not a technical solution, it is the final layer. BPO refers to outsourcing services to a vendor who would handle any issues that the end-user may encounter when using cloud computing services.


Ques. 4): What are the most important characteristics of cloud services?


Cloud computing and cloud services as a whole provide a slew of capabilities and benefits. The items listed below are the same. The convenience of being able to access and control commercial software from anywhere on the planet.

        The capacity to build and develop web applications capable of handling multiple customers from around the world at the same time, and to quickly centralise all software management tasks to a central web service.

        By centralising and automating the updating process for all applications installed on the platform, the need to download software upgrades will be eliminated.


Ques. 5): What is GCP Object Versioning?


Object versioning is a method of recovering data that has been overwritten or destroyed. When objects are destroyed or overwritten, object versioning increases storage costs while maintaining object security. When you activate object versioning in your GCP bucket, a noncurrent version of the object is created every time the item is overwritten or removed. To identify a variant of an entity, properties generation and meta generation are utilised. The phrase generation refers to the act of producing material, whereas meta generation is the process of producing metadata.


Ques. 6): Why is it necessary for businesses to manage their workload?


A workload in an organisation can be characterised as a self-contained service with its own set of code that must be executed. Everything from data-intensive workloads to transaction and storage processing is included in this task. All of this labour is independent of external factors.

The following are the primary reasons why businesses should manage their workload.

        To get a sense of how their applications are performing.

        To be able to pinpoint exactly what functions are taking place.

        To obtain a sense of how much a specific agency will charge for using these services.


Ques. 7): What is the relationship between Google Compute Engine and Google App Engine?


        Google Compute Engine and Google App Engine are mutually beneficial. Google Compute Engine is an IaaS service, while Google App Engine is a PaaS service.

        Web-based applications, mobile backends, and line-of-business applications are typically operated on Google App Engine. Compute Engine is an excellent alternative if you want more control over the underlying infrastructure. Compute Engine, for example, can be used to construct bespoke business logic or to run your own storage system.


Ques. 8): What are the main components of the Google Cloud Platform?


The Google Cloud Platform (GCP) is made up of a number of components that assist users in various ways. I'm familiar with the following GCP elements:

                    Google Compute Engine

                    Google Cloud Container Engine

                    Google Cloud App Engine

                    Google Cloud Storage

                    Google Cloud Dataflow

                    Google BigQuery Service

                    Google Cloud Job Discovery

                    Google Cloud Endpoints

                    Google Cloud Test Lab

                    Google Cloud Machine Learning Engine


Ques. 9): What are the different GCP roles you can explores?

Within Google Cloud Platform, there are many positions based on the tasks and responsibilities.

        Cloud software engineer: A cloud software engineer is a software developer who focuses on cloud computing systems. This position entails the creation of new systems or the upgrade of current ones.

        Cloud software consultant: This position comprises finding solutions to Google's cloud computing customers' complicated problems.

        Technical programme managers: To oversee the planning, communication, and execution of diverse cloud solutions, you'll require appropriate technical competence in cloud computing.

        Cloud engineering managers: Software engineers hired for this position are responsible for designing and delivering internet-scale solutions and products within the cloud computing infrastructure.

        Cloud engineering support: As a software engineer, you could be in charge of managing cloud computing systems and providing technical help to cloud customers who are having problems.

        Product managers for cloud products: As a product manager, you'd be in charge of overseeing the development of new cloud products from conception to launch.


Ques. 10): In Google Cloud Storage, what is a bucket?


Buckets are the most fundamental containers for storing information. You may arrange data and grant control access to buckets. The bucket has a globally unique name that corresponds to the location where the contents are kept. It also contains a default storage class that is applied to objects that are added to the bucket without a storage class defined. The number of buckets that can be created or deleted is similarly unlimited.


Ques. 11): What is Cloud Armor, exactly?


It will aid in the protection of your infrastructure and application from DDoS attacks. It protects your infrastructure by working with HTTPS load balancers. For the same, we can accept or disallow the rule. Cloud Armor's rules language is flexible, allowing for customization of defence and mitigation of attacks. It also contains predefined rules to protect against application-aware cross-site scripting (XSS) and SQL injection (SQLi) attacks. If you're running a web application, the allow and deny rules you set up will help you protect against SQL injection, DDoS attacks, and other threats.


Ques. 12): In cloud computing, what is load balancing?

Ans: In a cloud computing context, load balancing is the practise of spreading computer resources and workloads to control demand. It aids in achieving high performance at lower costs by effectively managing workload demands through resource allocation. It makes use of the concepts of scalability and agility to increase resource availability in response to demand. It's also utilised to keep track of the cloud application's health. All of the major cloud companies, such as AWS, GCP, Azure, and others, provide this feature.


Ques. 13): What is Google BigQuery, and how does it work? What are the advantages of BigQuery for data warehouse administrators?

Ans: Google BigQuery is a software platform that replaces the traditional data warehouse's hardware architecture. It is employed as a data warehouse and hence serves as a central repository for all of an organization's analytical data. In addition, BigQuery divides the data table into components called as datasets.

For data warehouse practitioners, BigQuery comes in handy in a number of ways. Here are a few of them:

        BigQuery dynamically assigned query resources and storage resources based on demand and usage. As a result, it does not necessitate resource provisioning prior to use.

·         For efficient storage management, BigQuery stores data in a variety of ways, including proprietary format, proprietary columnar format, query access pattern, Google's distributed file system, and others.

        BigQuery is completely up to date and controlled.

        BigQuery enables a broader level of backup recovery and catastrophe recovery.

        BigQuery engineers manage the service's updates and maintenance completely without any downtime or performance degradation. Users can easily reverse changes and return to a previous state without having to request a backup recovery.


Ques. 14): What are the primary benefits of utilising Google Cloud Platform?


Google Cloud Platform is a platform that connects customers to the greatest cloud services and features available. It is gaining popularity among cloud experts and users due to the benefits it provides.

The following are the key benefits of adopting Google Cloud Platform over other platforms:

        When compared to other cloud service providers, GCP offers significantly lower price.

        When it comes to hosting cloud services, GCP has improved performance and service generally.

        Google Cloud is very quick to provide server and security updates in a more timely and effective manner.

        The security level of Google Cloud Platform is exemplary; the cloud platform and networks are secured and encrypted with various security measures.


Ques. 15): What are the different types of service accounts? How are you going to make one?


        The service accounts are used to authorise Google Compute Engine to undertake tasks on behalf of the user, allowing it to access non-sensitive data and information.

        By handling the user's authorization procedure, these accounts often facilitate the authentication process from Google Cloud Engine to other services. It is important to note that service accounts are not utilised to gain access to the user's information.

        Google offers several different sorts of service accounts, however most users prefer to use one of two types of service accounts:

        Service accounts for Google Cloud Platform Console

        Accounts for the Google Compute Engine service

The user doesn’t need to create a service account manually. It is automatically created by the Compute Engine whenever a new instance is created. Google Compute Engine also specifies the scope of the service account for that particular instance when it is created.


Ques. 16): What are the multiple Google Cloud SDK installation options?


The Google Cloud SDK can be installed using one of four distinct methods. The user can install Google Cloud Software Development Kit using any of the options below, depending on their needs.

        Using Google Cloud SDK with scripts, continuous integration, or continuous deployment — in this scenario, the user can download a versioned archive for a non-interactive installation of a given version of Cloud SDK.

        YUM is used to download the latest published version of the Google Cloud SDK in package format when operating Red Hat Enterprise Linux 7/CentOS 7.

        APT-Download is used to get the latest released version of the Google Cloud SDK in package format while operating Ubuntu/Debian.

        The user can utilise the interactive installer to install the newest version of the Google Cloud SDK for all other use cases.


Ques. 17): How are you going to ask for greater quota for your project?


        Default quotas for various types of resources are provided to all Google Compute Engine projects. Quotas can also be increased on a per-project basis.

        If you find that you have hit the quota limit for your resources and wish to increase the quota, you can make a request for more quota for some specific resources using the IAM quotas page on the Google Cloud Platform Console. Using the Edit Quotas button at the top of the page, you can request more quota.


Ques. 18): What are your impressions about Google Compute Engine?


        Google Compute Engine is an IaaS offering that provides self-managed and configurable virtual machines hosted on Google's infrastructure. It features virtual machines based on Windows and Linux that may run on local, KVM, and persistent storage, as well as a REST-based API for control and setup.

        Google Compute Engine interfaces with other Google Cloud Platform technologies, such as Google App Engine, Google Cloud Storage, and Google BigQuery, to expand its computing capabilities and hence enable more sophisticated and complicated applications.


Ques.19): What is the difference between a Project Number and a Project Id?


The two elements that can be utilised to identify a project are the project id and the project number. The distinctions between the two are as follows:

When a new project is created, the project number is generated automatically, whereas the project number is generated by the user. The project number is necessary for many services, however the project id is optional (but it is a must for the Compute Engine).


Ques. 20): What are BigQuery's benefits for data warehouse administrators?


        BigQuery is useful for data warehouse professionals in a variety of ways. Here are several examples:

        BigQuery allocated query and storage resources dynamically based on demand and usage. As a result, resource provisioning is not required prior to use.

        BigQuery stores data in a number of formats for effective storage management, including proprietary format, proprietary columnar format, query access pattern, Google's distributed file system, and others.

        BigQuery is a fully managed and up-to-date service. Without any downtime or performance reduction, BigQuery engineers manage all of the service's updates and maintenance.