Showing posts with label asked. Show all posts
Showing posts with label asked. Show all posts

June 07, 2022

Top 20 Amazon OpenSearch Interview Questions and Answers

  

    Amazon OpenSearch Service is used to do interactive log analytics, real-time application monitoring, internet search, and other tasks. OpenSearch is a distributed search and analytics package based on Elasticsearch that is open source. Amazon OpenSearch Service is the successor of Amazon Elasticsearch Service, and it includes the most recent versions of OpenSearch, as well as support for 19 different versions of Elasticsearch (from 1.5 to 7.10), as well as visualisation features via OpenSearch Dashboards and Kibana (1.5 to 7.10 versions).


AWS(Amazon Web Services) Interview Questions and Answers


AWS Cloud Interview Questions and Answers


Ques. 1): What is an Amazon OpenSearch Service domain?

Answer:

Elasticsearch (1.5 to 7.10) or OpenSearch clusters built with the Amazon OpenSearch Service dashboard, CLI, or API are considered Amazon OpenSearch Service domains. Each domain is a cloud-based OpenSearch or Elasticsearch cluster with the computation and storage resources you choose. Domains may be created and deleted, infrastructure attributes can be defined, and access and security can be controlled. One or more Amazon OpenSearch Service domains can be used.


AWS AppSync Interview Questions and Answers


Ques. 2): Why should I store my items in cold storage?

Answer:

Cold storage allows you to increase the data you wish to examine on Amazon OpenSearch Service at a lower cost and acquire significant insights into data that was previously purged or archived. If you need to undertake research or forensic analysis on older data and want to access all of the features of Amazon OpenSearch Service at an affordable price, cold storage is a wonderful choice. Cold storage is designed for large-scale deployments and is supported by Amazon S3. Find and discover the data you want, then link it to your cluster's UltraWarm nodes and make it available for analysis in seconds. The same fine-grained access control restrictions that limit access at the index, document, and field level apply to attached cold data.


AWS Cloud9 Interview Questions and Answers


Ques. 3): What types of error logs does Amazon OpenSearch Service expose?

Answer:

OpenSearch makes use of Apache Log4j 2 and its built-in log levels of TRACE, DEBUG, INFO, WARN, ERROR, and FATAL (from least to most severe). If you enable error logs, Amazon OpenSearch Service sends WARN, ERROR, and FATAL log lines to CloudWatch, as well as select failures from the DEBUG level.  


Amazon Athena Interview Questions and Answers


Ques. 4): Is it true that enabling slow logs in Amazon OpenSearch Service also enables logging for all indexes?

Answer:

No. When slow logs are enabled in Amazon OpenSearch Service, the option to publish the generated logs to Amazon CloudWatch Logs for indices in the provided domain becomes available. However, in order to begin the logging process, you must first adjust the parameters for one or more indices.


AWS RedShift Interview Questions and Answers


Ques. 5): Is it possible to make more snapshots of my Amazon OpenSearch Service domains as needed?

Answer:

Yes. In addition to the daily-automated snapshots made by Amazon OpenSearch Service, you may utilise the snapshot API to make extra manual snapshots. Manual snapshots are saved in your S3 bucket and are subject to Amazon S3 use fees.


AWS Cloud Practitioner Essentials Questions and Answers


Ques. 6): Is there any performance data available from Amazon OpenSearch Service via Amazon CloudWatch?

Answer:

Yes. Several performance indicators for data and master nodes are exposed by Amazon CloudWatch, including number of nodes, cluster health, searchable documents, EBS metrics (if relevant), CPU, memory, and disc use.


AWS EC2 Interview Questions and Answers


Ques. 7): Can my Amazon OpenSearch Service domains be accessed by applications operating on servers in my own data centre?

Answer:

Yes. Through a public endpoint, applications having public Internet access can access Amazon OpenSearch Service domains. You can utilise VPC access if your data centre is already linked to Amazon VPC using Direct Connect or SSH tunnelling. In both circumstances, you may use IAM rules and security groups to grant access to your Amazon OpenSearch Service domains to applications operating on non-AWS servers.  


AWS Lambda Interview Questions and Answers


Ques. 8): How does Amazon OpenSearch Service handle AZ outages and instance failures?

Answer:

When one or more instances in an AZ become unavailable or unusable, Amazon OpenSearch Service attempts to put up new instances in the same AZ to take their place. If the domain has been set to deploy instances over several AZs, and fresh instances cannot be brought up in the AZ, Amazon OpenSearch Service brings up new instances in the other available AZs. When the AZ problem is resolved, Amazon OpenSearch Service rebalances the instances so that they are evenly distributed among the domain's AZs.


AWS Cloud Security Interview Questions and Answers


Ques. 9): What is the distribution of dedicated master instances among AZs?

Answer:

When you deploy your data instances in a single AZ, you must also deploy your dedicated master instances in the same AZ. If you divide your data instances over two or three AZs, Amazon OpenSearch Service distributes the dedicated master instances across three AZs automatically. If a region only has two AZs, or if you choose an older-generation instance type for the master instances that isn't accessible in all AZs, this rule does not apply.


AWS Simple Storage Service (S3) Interview Questions and Answers


Ques. 10): Is it possible to integrate Amazon OpenSearch Service with Logstash?

Answer:

Yes. Logstash is compatible with Amazon OpenSearch Service. You may use your Amazon OpenSearch Service domain as the backend repository for all Logstash logs. You may use request signing to authenticate calls from your Logstash implementation or resource-based IAM policies to include IP addresses of instances running your Logstash implementation when configuring access control on your Amazon OpenSearch Service domain.


AWS Fargate Interview Questions and Answers


Ques. 11): What does the Amazon OpenSearch Service accomplish for me?

Answer:

From delivering infrastructure capacity in the network environment you require to installing the OpenSearch or Elasticsearch software, Amazon OpenSearch Service automates the work needed in setting up a domain. Once your domain is up and running, Amazon OpenSearch Service automates standard administration chores like backups, instance monitoring, and software patching. The Amazon OpenSearch Service and Amazon CloudWatch work together to provide metrics that offer information about the condition of domains. To make customising your domain to your application's needs easier, Amazon OpenSearch Service provides tools to adjust your domain instance and storage settings.


AWS SageMaker Interview Questions and Answers


Ques. 12): What data sources is Trace Analytics compatible with?

Answer:

Trace Analytics now enables the collection of trace data from open source OpenTelemetry Collector-compatible application libraries and SDKs, such as the Jaeger, Zipkin, and X-Ray SDKs. AWS Distro for OpenTelemetry, a distribution of OpenTelemetry APIs, SDKs, and agents/collectors, is also integrated with Trace Analytics. It is an AWS-supported, high-performance and secure distribution of OpenTelemetry components that has been tested for production usage. Customers may utilise AWS Distro for OpenTelemetry to gather traces and metrics for a variety of monitoring solutions, including Amazon OpenSearch Service, AWS X-Ray, and Amazon CloudWatch for trace data and metrics, respectively.


AWS DynamoDB Interview Questions and Answers


Ques. 13): What is the relationship between Open Distro for Elasticsearch and the Amazon OpenSearch Service?

Answer:

Open Distro for Elasticsearch has a new home in the OpenSearch project. Amazon OpenSearch Service now supports OpenSearch and provides capabilities such as corporate security, alerting, machine learning, SQL, index state management, and more that were previously only accessible through Open Distro.


AWS Cloudwatch interview Questions and Answers


Ques. 14): What are UltraWarm's performance characteristics?

Answer:

UltraWarm implements granular I/O caching, prefetching, and query engine improvements in OpenSearch Dashboards and Kibana to give performance comparable to high-density installations using local storage.


AWS Elastic Block Store (EBS) Interview Questions and Answers


Ques. 15): Is it possible to cancel a Reserved Instance?

Answer:

No, Reserved Instances cannot be cancelled, and the one-time payment (if applicable) and discounted hourly usage rate (if applicable) are non-refundable. You also won't be able to move the Reserved Instance to another account. Regardless matter how much time you use your Reserved Instance, you must pay for each hour.


AWS Amplify Interview Questions and Answers 


Ques. 16): What happens to my reservation if I scale my Reserved Instance up or down?

Answer:

Each Reserved Instance is linked to the instance type and region that you choose. You will not receive lower pricing if you change the instance type in the Region where you have the Reserved Instance. You must double-check that your reservation corresponds to the instance type you intend to utilise.  


AWS Secrets Manager Interview Questions and Answers


Ques. 17): For the Amazon OpenSearch Service, what constitutes billable instance hours?

Answer:

Instance hours are invoiced for each hour your instance is running in an available state on Amazon OpenSearch Service. To prevent being paid for extra instance hours, you must deactivate the domain if you no longer want to be charged for your Amazon OpenSearch Service instance. Instance hours utilised in part by Amazon OpenSearch Service are invoiced as full hours.


AWS Django Interview Questions and Answers


Ques. 18): Is it possible to update the domain swiftly without losing any data?

Answer:

No. All of the data in your cluster is recovered as part of the in-place version upgrading procedure. You can take a snapshot of your data, erase all your indexes from the domain, and then do an in-place version upgrade if you simply want to upgrade the domain. You may also establish a new domain using the newest version and then restore your data to that domain.


AWS Cloud Support Engineer Interview Question and Answers


Ques. 19): How does Amazon OpenSearch Service protect itself from problems that may arise during version upgrades?

Answer:

Before triggering the update, Amazon OpenSearch Service conducts a series of checks to look for known problems that might prevent the upgrade. If no problems are found, the service takes a snapshot of the domain and, if the snapshot is successful, begins the upgrading process. If there are any problems with any of the stages, the upgrade will not take place.


AWS Solution Architect Interview Questions and Answers


Ques. 20): When logging is turned on or off, will the cluster experience any downtime?

Answer:

No. There will be no lulls in the action. We will install a new cluster in the background every time the log status is changed, and replace the old cluster with the new one. There will be no downtime as a result of this procedure. However, because a new cluster has been installed, the log status will not be updated immediately.

 

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May 27, 2022

Top 20 Amazon CloudSearch Interview Questions and Answers

 

Amazon CloudSearch is a managed service in the AWS Cloud that makes setting up, managing, and scaling a search solution for your website or application simple and cost-effective.

Amazon CloudSearch is available in 34 languages and includes popular search features including highlighting, autocomplete, and geographical search.

With Amazon CloudSearch, you can quickly add rich search capabilities to your website or application. You don't need to become a search expert or worry about hardware provisioning, setup, and maintenance. With a few clicks in the AWS Management Console, you can create a search domain and upload the data that you want to make searchable, and Amazon CloudSearch will automatically provision the required resources and deploy a highly tuned search index.


AWS(Amazon Web Services) Interview Questions and Answers


Ques. 1): How can you rapidly add rich search features to your website or application with Amazon CloudSearch?

Answer:

You won't have to learn how to search or bother about hardware provisioning, setup, or maintenance. You can build a search domain and upload the data you want to make searchable with a few clicks in the AWS Management Console, and Amazon CloudSearch will automatically supply the resources and deploy a finely tailored search index.


AWS Cloud Interview Questions and Answers 


Ques. 2): Is there a financial benefit to adopting the latest Amazon CloudSearch version?

Answer:

On each instance type, the current version of Amazon CloudSearch has enhanced index compression and support for bigger indexes. As a consequence, the new edition of Amazon CloudSearch is more efficient than the old one and can save you money.


AWS AppSync Interview Questions and Answers


Ques. 3): What is the definition of a search engine?

Answer:

A search engine allows you to rapidly locate the best matched results by searching enormous collections of largely textual data items (called documents). The most common type of search request is a few words of unstructured text, such as "matt damon movies." The best matched, or most relevant, items are generally listed first in the returning results (the ones that are most "about" the search words).

Documents can be fully unstructured or have various fields that can be searched separately if desired. For example, a movie search service may include documents with title, director, actor, description, and reviews fields. A search engine's results are usually proxies for the underlying content, such as URLs that point to specific web pages. The search service, on the other hand, may retrieve the actual contents of particular fields.


AWS Cloud9 Interview Questions and Answers


Ques. 4): How can I restrict access to my search domain for certain users?

Answer:

For the configuration service and all search domain services, Amazon CloudSearch enables IAM integration. You may give users complete access to Amazon CloudSearch, limit their access to select domains, and allow or disallow certain operations.


Amazon Athena Interview Questions and Answers


Ques. 5): What are the advantages of Amazon CloudSearch?

Answer:

Amazon CloudSearch is a fully managed search service that expands automatically to meet the volume of data and complexity of search queries in order to provide quick and accurate results. Customers may use Amazon CloudSearch to provide search functionality without having to worry about managing servers, traffic and data scalability, redundancy, or software packages. Users only pay for the resources they use at modest hourly rates. When compared to owning and administering your own search environment, Amazon CloudSearch can provide a much reduced total cost of ownership.


AWS RedShift Interview Questions and Answers 


Ques. 6): How can I figure out the instance type to use for my first setup?

Answer:

Start with the default settings of a single tiny search instance for datasets of less than 1 GB of data or less than one million 1 KB documents. Consider pre-warming the domain by specifying the preferred instance type for bigger data sets. Start with a big search instance for data sets up to 8 GB. Start with an extra big search instance for datasets between 8 and 16 GB. Start with a double extra big search instance for datasets between 16 and 32 GB.


AWS Cloud Practitioner Essentials Questions and Answers


Ques. 7): Is it possible to utilise Amazon CloudSearch in conjunction with a storage service?

Answer:

A storage service and a search service work together. Your documents must already be saved someplace for a search service to work, whether it's in files on a file system, data in Amazon S3, or records in an Amazon DynamoDB or Amazon RDS instance. The search service is a quick retrieval system that indexes those objects and makes them searchable with sub-second latency.


AWS EC2 Interview Questions and Answers 


Ques. 8): What is the purpose of the new Multi-AZ feature? Will there be any downtime if something goes wrong with my system?

Answer:

When you select the Multi-AZ option, Amazon CloudSearch instances in either zone may handle the full load in the case of a failure. If a service outage occurs or instances in one Availability Zone become unusable, Amazon CloudSearch redirects all traffic to the other Availability Zone. Without any administrator intervention or service disturbance, redundant instances are restored in a different Availability Zone.

Some in-flight searches may fail and must be performed again. Updates provided to the search domain are saved indefinitely and will not be lost if the server goes down.


AWS Lambda Interview Questions and Answers


Ques. 9): Is it possible to utilise Amazon CloudSearch with a database?

Answer:

Databases and search engines aren't mutually exclusive; in fact, they're frequently utilised together. If you already have a database with structured data, you might use a search engine to intelligently filter and rank the contents of the database using search terms as relevance criteria.

Both organised and unstructured data may be indexed and searched using a search service. Content can come from a variety of places, including database fields, files in various formats, web pages, and so on. A search service can allow custom result ranking as well as unique search capabilities like utilising facets for filtering that aren't accessible in databases, such as using facets for filtering.


AWS Cloud Security Interview Questions and Answers


Ques. 10): What is the maximum amount of data I can store on my search domain?

Answer:

The number of partitions you'll require is determined by your data and setup, therefore the most data you may upload is the set of data that results in 10 search partitions when your search configuration is applied. Your domain will cease accepting uploads if you reach your search partition limit unless you remove documents and re-index it.  


AWS Simple Storage Service (S3) Interview Questions and Answers 


Ques. 11): What are the most recent instance types for CloudSearch?

Answer:

To replace the earlier CloudSearch instance types, we announced new CloudSearch instance types in January 2021. Search.small, search.medium, search.large, search.xlarge, and search.2xlarge are the most recent CloudSearch instances, and they are one-to-one replacements for previous instances; for example, search.small replaces search.m1.small. The new instances are built on top of the current generation of EC2 instance types, resulting in improved availability and performance at the same price.


AWS Fargate Interview Questions and Answers 


Ques. 12): How does my search domain scale to suit the requirements of my application?

Answer:

Data and traffic scale in two dimensions in search domains. As your data volume rises, you'll need additional (or larger) Search instances to hold your indexed data, and your index will be divided amongst them. Each Search Partition must be replicated when your request volume or complexity grows, providing more CPU for that Search Partition. If your data requires three search partitions, for example, your search domain will have three search instances. When your traffic exceeds the capability of a single search instance, each partition is duplicated to offer extra CPU capacity, thereby expanding your search domain to three search instances. Additional copies, up to a maximum of 5, will be added to each search partition as traffic grows.


AWS SageMaker Interview Questions and Answers


Ques. 13): My domain hosts CloudSearch instances from the previous generation, such as search.m2.2xlarge. Is my domain going to be migrated?

Answer:

Yes, in later rounds of the migration, your domain will be transferred to corresponding new instances. Search.m2.2xlarge, for example, will be renamed to search.previousgeneration.2xlarge. These instances are the same price as the old instances, but they give improved domain stability.


AWS DynamoDB Interview Questions and Answers 


Ques. 14): What exactly is faceting?

Answer:

Faceting allows you to group your search results into refinements, which the user may then utilise to do more searches. For instance, if a user searches for "umbrellas," facets allow you to sort the results by price ranges like $0-$10, $10-$20, $20-$40, and so on. Result counts may also be incorporated in facets in Amazon CloudSearch, such that each refinement contains a count of the number of documents in that group. For instance, $0-$10 (4 things), $10-$20 (123 items), $20-$40 (57 items), and so on.


AWS Cloudwatch interview Questions and Answers


Ques. 15): What is the best way to change our domains to reflect the new instances?

Answer:

Your domain will be effortlessly moved to the new instances. You are not required to take any action. Amazon will execute this migration in stages over the following few weeks, starting with domains that are using the CloudSearch 2013 version. Once your domain has been upgraded to the new instance types, you will receive a message in the console. Any new domains you establish will start using the new instances immediately.


AWS Elastic Block Store (EBS) Interview Questions and Answers 


Ques. 16): What data types does Amazon CloudSearch support in its latest version?

Answer:

Amazon Text and literal text fields are supported by CloudSearch. Individual words that potentially serve as matches for queries are determined by processing text fields according to the language defined for the field. Literal fields, including case, are not processed and must match perfectly. In addition, CloudSearch supports the following numeric types: int, double, date, and latlon. Signed 64-bit integer values are stored in int fields. Floating point values of double width are stored in double fields. Date fields store dates in UTC (Universal Time) format, as defined by IETF RFC3339: yyyy-mm-ddT00:00:00Z. A location is kept as a latitude and longitude value pair in Latlon fields.


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Ques. 17): Is it possible to use the console to access the latest version of Amazon CloudSearch?

Answer:

Yes. You may use the console to access the updated version of Amazon CloudSearch. You may choose the version of Amazon CloudSearch you wish to use when creating new search domains if you're an existing Amazon CloudSearch client with existing search domains. New clients will be automatically switched to the new version of Amazon CloudSearch, with no access to the 2011-01-01 version.


AWS Amplify Interview Questions and Answers  


Ques. 18): Is it possible to use Amazon CloudSearch with several AZs?

Answer:

Yes. Multi-AZ installations are supported by Amazon CloudSearch. When you choose the Multi-AZ option, Amazon CloudSearch creates and maintains additional instances in a second Availability Zone for your search domain to provide high availability. Updates are applied to both Availability Zones' instances automatically. In the case of a failure, search traffic is dispersed over all instances, and instances in either zone are capable of bearing the full load.


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Ques. 19): Is it necessary for my documents to be in a specific format?

Answer:

You must format your data in JSON or XML to make it searchable. A document represents each item you wish to be able to obtain as a search result. Every document includes a unique document ID as well as one or more fields containing the data you wish to search for and return in results. According to the index fields set for the domain, Amazon CloudSearch creates a search index from your document data. You submit modifications to add or remove documents from your index as your data changes.


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Ques. 20): What steps can you take to avoid 504 errors?

Answer:

Try switching to a bigger instance type if you're getting 504 problems or a lot of replication counts. If you're experiencing trouble using m3.large, for example, try m3.xlarge. If you're still getting 504 problems after pre-scaling, batch the data and lengthen the time between retries.


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AWS Data Pipeline Interview Questions and Answers

 



May 22, 2022

Top 20 AWS Data Pipeline Interview Questions and Answers

 

AWS Data Pipeline is a web service that enables you to process and move data between AWS computing and storage services, as well as on-premises data sources, at predetermined intervals. You may use AWS Data Pipeline to frequently access your data, transform and analyse it at scale, and efficiently send the results to AWS services like Amazon S3, Amazon RDS, Amazon DynamoDB, and Amazon EMR.


AWS Data Pipeline makes it simple to build fault-tolerant, repeatable, and highly available data processing workloads. You won't have to worry about resource availability, inter-task dependencies, retrying temporary failures or timeouts in individual tasks, or setting up a failure notification system. Data that was previously locked up in on-premises data silos can also be moved and processed using AWS Data Pipeline.


AWS(Amazon Web Services) Interview Questions and Answers


Ques. 1): What is a pipeline, exactly?

Answer:

A pipeline is an AWS Data Pipeline resource that defines the chain of data sources, destinations, and preset or custom data processing activities that are necessary to run your business logic.


AWS Cloud Interview Questions and Answers


Ques. 2): What can I accomplish using Amazon Web Services Data Pipeline?

Answer:

You can quickly and simply construct pipelines using AWS Data Pipeline, which eliminates the development and maintenance effort necessary to manage your daily data operations, allowing you to focus on creating insights from that data. Simply configure your data pipeline's data sources, timetable, and processing tasks. AWS Data Pipeline manages the execution and monitoring of your processing tasks on a fault-tolerant, highly reliable infrastructure. AWS Data Pipeline also has built-in activities for typical tasks like moving data between Amazon S3 and Amazon RDS and executing a query on Amazon S3 log data to make your development process even easier.


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Ques. 3): How do I install a Task Runner on my on-premise hosts?

Answer:

You can install the Task Runner package on your on-premise hosts using the following steps:

Download the AWS Task Runner package.

Create a configuration file that includes your AWS credentials.

Start the Task Runner agent via the following command:

java -jar TaskRunner-1.0.jar --config ~/credentials.json --workerGroup=[myWorkerGroup]

Set the activity to execute on [myWorkerGroup] when defining it so that it may be dispatched to the previously installed hosts.


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Ques. 4): What resources are used to carry out activities?

Answer:

AWS Data Pipeline actions are carried out on your own computing resources. AWS Data Pipeline–managed and self-managed computing resources are the two categories. AWS Data Pipeline–managed resources are Amazon EMR clusters or Amazon EC2 instances that are launched only when they're needed by the AWS Data Pipeline service. You can manage resources that run longer and can be any resource that can execute the AWS Data Pipeline Java-based Task Runner (on-premise hardware, a customer-managed Amazon EC2 instance, etc.).


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Ques. 5): Is it possible for me to run activities on on-premise or managed AWS resources?

Answer:

Yes. AWS Data Pipeline provides a Task Runner package that may be deployed on your on-premise hosts to enable performing operations utilising on-premise resources. This package polls the AWS Data Pipeline service for work to be done on a regular basis. AWS Data Pipeline will issue the proper command to the Task Runner when it's time to conduct a certain action on your on-premise resources, such as executing a DB stored procedure or a database dump. You may assign many Task Runners to poll for a specific job to guarantee that your pipeline operations are highly available. If one Task Runner is unavailable, the others will simply take up its duties.


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Ques. 6): Is it possible to manually restart unsuccessful activities?

Answer:

Yes. By changing the status of a group of completed or unsuccessful actions to SCHEDULED, you can restart them. This may be done using the UI's Rerun button or by changing their status via the command line or API. This will trigger a re-check of all activity dependencies, as well as the execution of further activity attempts. Following successive failures, the Activity will attempt the same number of retries as before.


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Ques. 7): What happens if an activity doesn't go as planned?

Answer:

If all of an activity's activity attempts fail, the activity fails. An activity retries three times by default before failing completely. The number of automated retries can be increased to ten, but the technology does not enable endless retries. After an activity's tries have been exhausted, it will trigger any preset onFailure alarms and will not attempt to run again until you explicitly issue a rerun command using the CLI, API, or console button.


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Ques. 8): What is a schedule, exactly?

Answer:

Schedules specify when your pipeline actions take place and how often the service expects your data to be provided. Every schedule must specify a start date and a frequency, such as every day at 3 p.m. beginning January 1, 2013. The AWS Data Pipeline service does not execute any actions after the end date specified in the schedule. When you link a timetable to an activity, the activity runs on that schedule. You notify the AWS Data Pipeline service that you want the data to be updated on that schedule when you connect a schedule with a data source. For example, if you define an Amazon S3 data source with an hourly schedule, the service expects that the data source contains new files every hour.


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Ques. 9): What is a data node, exactly?

Answer:

A data node is a visual representation of your company's information. A data node, for example, can point to a specific Amazon S3 route. AWS Data Pipeline has an expression language that makes it simple to refer to data that is created often. For example, you may specify s3:/example-bucket/my-logs/logdata-#scheduledStartTime('YYYY-MM-dd-HH').tgz as your Amazon S3 data format.


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Ques. 10): Does Data Pipeline supply any standard Activities?

Answer:

Yes, AWS Data Pipeline provides built-in support for the following activities:

CopyActivity: This activity can copy data between Amazon S3 and JDBC data sources, or run a SQL query and copy its output into Amazon S3.

HiveActivity: This activity allows you to execute Hive queries easily.

EMRActivity: This activity allows you to run arbitrary Amazon EMR jobs.

ShellCommandActivity: This activity allows you to run arbitrary Linux shell commands or programs.

 

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Ques. 11): Is it possible to employ numerous computing resources on the same pipeline?

Answer:

Yes, just construct numerous cluster objects in your definition file and use the runsOn attribute to associate the cluster to use for each activity. This enables pipelines to use a mix of AWS and on-premise resources, as well as a mix of instance types for their activities – for example, you might want to use a t1.micro to run a quick script cheaply, but later on the pipeline might have an Amazon EMR job that requires the power of a cluster of larger instances.


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Ques. 12): What is the best way to get started with AWS Data Pipeline?

Answer:

Simply navigate to the AWS Management Console and choose the AWS Data Pipeline option to get started with AWS Data Pipeline. You may then use a basic graphical editor to design a pipeline.


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Ques. 13): What is a precondition?

Answer:

A readiness check that may be coupled with a data source or action is known as a precondition. If a data source contains a precondition check, that check must pass before any operations that use the data source may begin. If an activity contains a precondition, the precondition check must pass before the activity may be executed. This is handy if you're performing a computationally intensive activity that shouldn't run unless certain requirements are satisfied.


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Ques. 14): Does AWS Data Pipeline supply any standard preconditions?

Answer:

Yes, AWS Data Pipeline provides built-in support for the following preconditions:

DynamoDBDataExists: This precondition checks for the existence of data inside a DynamoDB table.

DynamoDBTableExists: This precondition checks for the existence of a DynamoDB table.

S3KeyExists: This precondition checks for the existence of a specific AmazonS3 path.

S3PrefixExists: This precondition checks for at least one file existing within a specific path.

ShellCommandPrecondition: This precondition runs an arbitrary script on your resources and checks that the script succeeds.


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Ques. 15): Will AWS Data Pipeline handle my computing resources and provide and terminate them for me?

Answer:

Yes, compute resources will be supplied when the first activity that utilises those resources for a planned time is ready to begin, and those instances will be terminated when the last activity that uses those resources has concluded successfully or failed.


AWS Elastic Block Store (EBS) Interview Questions and Answers


Ques. 16): What distinguishes AWS Data Pipeline from Amazon Simple Workflow Service?

Answer:

While both services allow you to track your execution, handle retries and errors, and conduct arbitrary operations, AWS Data Pipeline is designed to help you with the stages that are prevalent in most data-driven processes. For example, actions may be executed only once their input data fulfils certain readiness requirements, data can be readily copied between multiple data stores, and chained transformations can be scheduled. Because of this narrow emphasis, Data Pipeline process definitions may be generated quickly and without coding or programming skills.


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Ques. 17): What is an activity, exactly?

Answer:

As part of a pipeline, AWS Data Pipeline will initiate an activity on your behalf. EMR or Hive tasks, copies, SQL queries, and command-line scripts are all examples of activities.


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Ques. 18): Is it possible to create numerous schedules for distinct tasks inside a pipeline?

Answer:

Yes, just construct numerous schedule objects in your pipeline definition file and use the schedule field to connect the selected schedule with the appropriate activity. This enables you to create a pipeline in which log files are stored in Amazon S3 every hour, for example, to drive the production of an aggregate report once per day.


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Ques. 19): Is there a list of sample pipelines I can use to get a feel for AWS Data Pipeline?

Answer:

Yes, our documentation includes sample workflows. In addition, the console includes various pipeline templates to help you get started.


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Ques. 20): Is there a limit to how much I can fit into a single pipeline?

Answer:

Each pipeline you construct can have up to 100 items by default.

 

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