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

May 13, 2022

Top 20 AWS AppSync Interview Questions and Answers

 

        AWS AppSync is an Amazon Web Services (AWS) public cloud application development service that synchronizes data for mobile and web apps in real time. End users can also update data within an application even if their computer or mobile device is offline, and the service executes synchronisation once connectivity is restored.


AWS(Amazon Web Services) Interview Questions and Answers


AWS AppSync is ideal for creating collaborative and data-driven apps like gaming, social media, document sharing, and chat.


AWS Cloud Interview Questions and Answers


The service is also compatible with a variety of browsers and devices, and contains SDKs for iOS, Android, and JavaScript.


AWS Cloud9 Interview Questions and Answers


Ques. 1): What is AWS AppSync, exactly?

Answer:

AWS AppSync is a fully managed service that simplifies the development of GraphQL APIs by taking care of the heavy lifting of securely connecting to data sources such as AWS DynamoDB, Lambda, and others. It's just as simple to add caches to boost performance, subscriptions to support real-time updates, and client-side data storage to keep off-line clients in sync. AWS AppSync adjusts your GraphQL API execution engine up and down to meet API request levels after it's installed.

Organizations select GraphQL to construct APIs because it allows front-end developers to query different databases, microservices, and APIs with a single GraphQL endpoint, allowing them to design applications faster.


Amazon Athena Interview Questions and Answers


Ques. 2): How does AWS AppSync keep data safe?

Answer:

Your AWS account stores application data at rest, not in the AWS AppSync service. You can use AWS AppSync's security controls, such as AWS Identity and Access Management (IAM) and Amazon Cognito User Pools, to prevent applications from accessing this data. Additionally, user context can be provided through for authenticated requests so that you can leverage Mapping Templates in AWS AppSync to conduct fine-grained access control logic against your resources.


AWS GuardDuty Questions and Answers


Ques. 3): What application developer languages does AWS AppSync support?

Answer:

iOS, Android, and JavaScript are all supported by AWS AppSync SDKs. Web frameworks like React and Angular, as well as technologies like React Native and Ionic, all support JavaScript. You can also connect to the AppSync GraphQL endpoint using open source clients for other platforms, such as generic HTTP libraries or even simple CURL commands.


AWS CloudFormation Interview Questions and Answers


Ques. 4): How can I do complex queries with AWS AppSync?  

Answer:

When using GraphQL, the data sources accessible to AWS AppSync allow you to fully utilise the capabilities of Amazon DynamoDB, Amazon Elasticsearch Service, and AWS Lambda. DynamoDB returns comprehensive results because to features like indexing and conditional tests, as well as Mapping Templates. Amazon Elasticsearch Service features such as fuzzy searches, geo searches, and more are available to your application. Finally, Lambda may be used to return data from other sources such as Amazon Aurora via serial or batch calls.


AWS RedShift Interview Questions and Answers


Ques. 5): Can I access my AppSync GraphQL endpoint using my own domain name?

Answer:

Customers who utilise the AWS AppSync API to access their GraphQl endpoint and real-time endpoint can use custom domain names. Simply submit a domain name that you own and a valid AWS Certificate Manager (ACM) certificate that covers your domain to create a custom domain name in AppSync. You can associate the custom domain name with any available AppSync API in your account once it's been created. You can configure your applications to use the new GraphQL and real-time endpoints after updating your DNS record to point to the AppSync-provided domain name. Without having to update your applications, you may modify the API association on your custom domain at any moment. When AppSync receives a request on the custom domain endpoint, it forwards it to the appropriate API.


AWS Cloud Practitioner Essentials Questions and Answers


Ques. 6): How can you define a mapping template?

Answer:

GraphQL requests run as "resolvers" and must be transformed to the appropriate message format for the various AWS Services with which AWS AppSync works. For Amazon DynamoDB, AWS Lambda, and Amazon Elasticsearch Service, a GraphQL query on a field, for example, will need to be transformed into a unique format. For instance, AWS AppSync provides Mapping Templates written in Apache Velocity Template Language (VTL), which allow you to provide custom logic to match your needs. For improved usage, AWS AppSync has built-in templates for the various services and utility functions.


AWS EC2 Interview Questions and Answers


Ques. 7): How AppSync is used by developers

Answer:

AWS AppSync enables application developers to declare the data they want to offer to end users and update it in real time, thanks to the GraphQL query language it supports. When compared to updating all data on an app, this helps save money on storage and bandwidth. GraphQL Subscriptions are embedded in application code through AppSync to send real-time data via MQTT over Websockets.


AWS Lambda Interview Questions and Answers


AWS AppSync may also provision Amazon DynamoDB tables and indexes based on GraphQL schema defined by developers, or it can be used with existing DynamoDB resources.


AWS Cloud Security Interview Questions and Answers


Ques. 8): Is GraphQL knowledge required to get started?

Answer:

No, with a simple UI builder that allows you to write in your data model in seconds, AWS AppSync can instantly configure your whole API, schema, and connect data sources. The endpoint can then be used in a client application right away. For fully functional applications, the console also includes a number of sample schema and data sources.


AWS Simple Storage Service (S3) Interview Questions and Answers


Ques. 9): What exactly is GraphQL?

Answer:

Client apps can use GraphQL to fetch, update, and subscribe to data from servers. The client specifies how the data should be organised when it is delivered by the server in a GraphQL query. This allows the client to query only for the data that it requires, in the format that it requires.


AWS Fargate Interview Questions and Answers


Ques. 10): Is it possible for AWS AppSync to generate a database for me?

Answer:

Customers can construct a GraphQL schema by hand or using the console, and AWS AppSync will automatically provide Amazon DynamoDB tables and indexes. It will also connect the data sources to "GraphQL resolvers," allowing you to concentrate solely on the application code and data structures.


AWS SageMaker Interview Questions and Answers


Ques. 11): Is AWS AppSync compatible with my existing AWS resources?

Answer:

Yes. With AWS AppSync, you can use Amazon DynamoDB, AWS Lambda, and Amazon Elasticsearch Service tables, functions, and domains with a GraphQL schema. Using AWS AppSync, you may add data sources from existing AWS resources and configure interactions with Mapping Templates.


AWS DynamoDB Interview Questions and Answers


Ques. 12): Is it possible to import tables from Amazon DynamoDB?

Answer:

AWS AppSync can automatically construct a GraphQL schema from an existing DynamoDB table, including key schema and index inference. GraphQL queries, modifications, and subscriptions can be utilised without coding after the import is complete. Non-key characteristics from your GraphQL types will also be "auto-mapped" to DynamoDB attributes via AppSync.


AWS Cloudwatch interview Questions and Answers


Ques. 13): What kinds of apps can I make with the functionalities that were published today?

Answer:

AWS AppSync may be used to create mobile apps that can synchronise user and app data between devices, continue to function even when connected, and provide real-time collaborative experiences. There are applications in every industry. Some examples are:

  • Real-time scoreboards in gaming apps
  • Financial data and news feeds
  • Dashboards for customer service
  • Offline usage, shared wallet, and trip or itinerary tracking
  • Content streams and search/discovery/messaging on social media
  • Likes, texting, and geo/proximity awareness are all features of dating applications.
  • Even while disconnected, field service apps must be able to query and perform CRUD activities.
  • Collaboration on documents
  • Shared whiteboards and 3D collaboration
  • Multiple actors in AR/VR (doctors in surgery with observers, teachers and students)
  • Multi-device and multi-modal applications (e.g., Alexa, mobile, web, IoT) that must work offline but reflect the same finally consistent state
  • Presence indicators and conversation history are included in chat apps.


AWS Elastic Block Store (EBS) Interview Questions and Answers 


Ques. 14): What is the definition of a GraphQL Schema?

Answer:

A GraphQL schema is a description of the data capabilities that the client application has access to. A schema might, for example, specify what queries are possible or how an app can subscribe to data without knowing about the underlying data source. A type system defines schemas, which an application's data model can use.


AWS Amplify Interview Questions and Answers


Ques. 15): What clients are available for connecting my app to the AppSync API?

Answer:

To connect to a GraphQL API on AppSync, you can use any HTTP or GraphQL client. The Amplify clients, which are optimised to connect to the AppSync backend, are recommended. Depending on your application's use case, you have a few options:

  • Use the DataStore category in the Amplify client for DynamoDB data sources. It offers the finest developer experience as well as conflict detection and resolution built-in.
  • Use the API (GraphQL) category in the Amplify client for non-DynamoDB data sources in instances where there are no offline constraints.
  • Use the AppSync SDK for non-DynamoDB data sources in instances where you need to work offline.


AWS Secrets Manager Interview Questions and Answers


Ques. 16): Can I use AWS AppSync to make my data real-time?

Answer:

Yes. When a mutation happens, the results may be delivered down to clients subscribing to the event stream immediately using either MQTT over WebSockets or pure WebSockets utilising AWS AppSync against any of the data sources.


AWS Django Interview Questions and Answers

 


More on AWS:

AWS Glue Interview Questions and Answers

 

AWS VPC Interview Questions and Answers

 

AWS DevOps Cloud Interview Questions and Answers

 

AWS Aurora Interview Questions and Answers

 

AWS Database Interview Questions and Answers

 

AWS ActiveMQ Interview Questions and Answers


AWS Solution Architect Interview Questions and Answers


AWS Cloud Support Engineer Interview Question and Answers


May 12, 2022

Top 20 AWS Cloud9 Interview Questions and Answers


                AWS Cloud9 is a browser-based integrated development environment (IDE) that allows you to write, run, and debug code. A code editor, debugger, and terminal are all included. Cloud9 is pre-installed with key tools for major programming languages such as JavaScript, Python, PHP, and more, so you don't have to install files or setup your development workstation to get started. Because your Cloud9 IDE is cloud-based, you may work on your projects from any internet-connected machine, including your office, home, or anyplace else. Cloud9 also offers a smooth development experience for serverless apps, allowing you to simply define resources, debug, and switch between local and remote execution. You can share your development environment with your team fast with Cloud9, allowing you to pair programme and track each other's inputs in real time.


Amazon Athena Interview Questions and Answers


Ques. 1): How can I begin using AWS Cloud9?

Answer:

You can choose AWS Cloud9 from the AWS Management Console after logging in. The console will walk you through the options for choosing a Linux server to connect to Cloud9. In a few simple steps, you may either create a new Amazon EC2 instance (AWS Cloud9 EC2 environment) or connect your current Linux server (AWS Cloud9 SSH environment). You may access your IDE and write code in a fully configured development environment once you've created a Cloud9 environment.


AWS GuardDuty Questions and Answers


Ques. 2): Who should utilise Amazon Web Services Cloud9?

Answer:

AWS Cloud9 is available to everyone who writes code. Cloud9 provides instant access to a fully configured development environment in their browsers with preloaded runtimes, package managers, and debugging tools for those developing apps in Node.js (JavaScript), Python, PHP, Ruby, Go, and C++. Cloud9 allows you to access your work environment from any internet-connected computer, removing the need for a dedicated development machine.

AWS Cloud9 provides convenient access to their AWS resources via a preset AWS Command Line Interface (AWS CLI), ready to perform commands against AWS services, for AWS developers and those assessing new AWS services. Cloud9 has built-in tools for creating, editing, running, debugging, and deploying Lambda functions for those developing serverless apps on AWS Lambda using Node.js or Python.


AWS CloudFormation Interview Questions ans Answers


Ques. 3): What kinds of AWS Cloud9 development environments are there?

Answer:

You can use one of two types of AWS Cloud9 setups.

AWS Cloud9 EC2 environment — Allows you to create a new Amazon EC2 instance with Cloud9. These instances are set to terminate 30 minutes after you close the IDE and start immediately when you open it.

SSH environment on AWS Cloud9 — Allows you to join an existing Linux server to Cloud9. On the Linux server that you intend to use with Cloud9 SSH environments, certain requirements are required.


AWS(Amazon Web Services) Interview Questions and Answers


Ques. 4): What is AWS Cloud9, exactly?

Answer:

AWS Cloud9 is a browser-based integrated development environment (IDE) that allows you to write, run, and debug code. It combines code completion, hinting, and step-through debugging with access to a full Linux server for running and storing code.


AWS Cloud Interview Questions and Answers


Ques. 5): How can I execute my code?

Answer:

The AWS Cloud9 IDE has a run button in the toolbar as well as built-in runners for over 10 languages that will immediately start your application with the most recent code modifications. You can also alter current runners, develop your own runners, or run your code from the terminal if you want complete control over how your product is run.


AWS RedShift Interview Questions and Answers


Ques. 6): How much does AWS Cloud9 cost?

Answer:

AWS Cloud9 comes at no additional cost. You only pay for the compute and storage resources (i.e., an EC2 instance, an EBS volume) that are utilised to run and store your code if you use an Amazon EC2 instance for your AWS Cloud9 development environment. For no additional price, you can connect your Cloud9 development environment to an existing Linux server (e.g., on-premises server) through SSH.


AWS Cloud Practitioner Essentials Questions and Answers


Ques. 7): What is the best way to use AWS Cloud9 with AWS CodeStar?

Answer:

You can start modifying and committing your CodeStar project code in the Cloud9 IDE right away after launching AWS Cloud9 environments from AWS CodeStar. Any code changes you commit to your project source repository from Cloud9 are compiled and deployed automatically using CodeStar's tools.


AWS EC2 Interview Questions and Answers


Ques. 8): What resources does AWS Cloud9 create for Amazon EC2 environments?

Answer:

AWS Cloud9 creates the needed computation and storage resources in your AWS account when you create an Amazon EC2 environment. An Amazon EC2 instance, an Amazon Elastic Block Store (EBS) volume of 8 GB, an Amazon EC2 security group, and an AWS CloudFormation stack are among the resources. These resources are accessible through the different AWS service consoles. Cloud9 automatically deletes these resources when you erase your environment.


AWS Lambda Interview Questions and Answers


Ques. 9): What is the location of my code on AWS Cloud9?

Answer:

Code files, packages, and dependencies are all kept in your resources in your AWS Cloud9 environment. Your data is stored in the appropriate Amazon Elastic Block Store (EBS) volume in your AWS account if you use an EC2 environment. Your data is saved locally on your Linux server if you use an SSH environment.


AWS Cloud Security Interview Questions and Answers


Ques. 10): How can I use AWS Cloud9 to construct serverless applications for AWS Lambda?

Answer:

The AWS Resources panel in the IDE contains the built-in tools for AWS Lambda. These utilities can be used to import or generate Lambda functions in Node.js and Python. These routines can be quickly launched, previewed, debugged, and deployed right from the IDE. The AWS Serverless Application Model (AWS SAM) framework is also supported by AWS Cloud9. You may now handle many Lambda functions and serverless resources in your application with ease. If you used AWS CodeStar to provide your project, any changes you make to it will be built and sent to Lambda using git push.


AWS Simple Storage Service (S3) Interview Questions and Answers


Ques. 11): Is it possible to modify the instance type of an Amazon EC2 environment that already exists?

Answer:

Yes. With your AWS Cloud9 environment, you can change the Amazon EC2 instance type you previously selected. To do so, go to the EC2 console and locate your instance, then follow the procedures in the Amazon EC2 documentation.


AWS Fargate Interview Questions and Answers


Ques. 12): Can I use AWS Cloud9 to test my AWS Lambda functions locally?

Answer:

Yes. AWS Cloud9 can run your Node.js and Python functions locally in the IDE, simulating the AWS Lambda execution environment. This allows you to step-through debug your serverless applications without having to upload your changes to Lambda. You may also deploy your application modifications to Lambda directly from the IDE once they've been tested.


AWS SageMaker Interview Questions and Answers


Ques. 13): What are the supported programming languages?

Answer:

Node.js (JavaScript), Python, PHP, Ruby, Go, and C++ are among the programming languages supported by AWS Cloud9. It supports several major programming languages and offers features including syntax highlighting, outline view, code hinting, code completion, application runners, and step-through debugging.


AWS DynamoDB Interview Questions and Answers


Ques. 14): How do I make changes to my code?

Answer:

Auto-completion, code folding, hinting, syntax highlighting, and line manipulation are all included in the AWS Cloud9 IDE's powerful code editor. You can choose from over 30 colour schemes in the code editor to manage syntax highlighting and the UI. You may also update your CSS to completely personalise the Cloud9 UI.


AWS Cloudwatch interview Questions and Answers


Ques. 15): Is AWS Cloud9 capable of managing resources developed in Amazon EC2 environments?

Answer:

Cloud9 can not only create and delete your AWS Cloud9 EC2 environment resources on your behalf, but it can also start and stop the EC2 instances automatically to save you money. All other administration chores on these resources are your responsibility, including installing software patches on your EC2 instances and backing up your EBS volumes.


AWS Elastic Block Store (EBS) Interview Questions and Answers


Ques. 16): How do I access AWS services from AWS Cloud9?

Answer:

AWS Cloud9 EC2 environments come preinstalled with the AWS CLI, which is authenticated with the permissions of the logged-in AWS user automatically. This enables you to run interactive CLI commands against AWS services from the built-in terminal window in Cloud9 without any additional configuration.


AWS Amplify Interview Questions and Answers


Ques. 17): In AWS Cloud9 environments, are my Amazon EC2 instances always active?

Answer:

No. For Amazon EC2 instances created with AWS Cloud9, the default auto-hibernation option is 30 minutes. Your EC2 instances will automatically halt 30 minutes after you close the IDE and resume only when you reopen it with this option. As a result, EC2 instance charges are often only incurred when you are actively working. When your instance needs to be restarted, you lose any open terminal sessions in the IDE and may have to wait a bit to open it. You can modify the auto-hibernation setting and even choose to keep your EC2 instance "always on" depending on your use case.


AWS Secrets Manager Interview Questions and Answers


Ques. 18): On AWS Cloud9 EC2 setups, what tools and packages are preinstalled?

Answer:

AWS Cloud9 EC2 setups provide popular development tools like Git and Docker preinstalled. Many popular programming languages, such as Node.js and Python, have language runtimes and package managers.


AWS Django Interview Questions and Answers


Ques. 19): What is the best way to share my AWS Cloud9 installation with others?

Answer:

Click the Share button in the top right corner of your IDE to share your AWS Cloud9 environment. The AWS Identity and Access Management (IAM) user name and desired access levels for the individual with whom you want to collaborate are requested. Once you've entered these details, both participants can use the environment for real-time collaboration on IDE features and command line sessions.


AWS Cloud Support Engineer Interview Question and Answers


Ques. 20): What are the steps for connecting to source control management systems?

Answer:

You may use the same command line tools on your local PC to access your source control system by opening the terminal window within the IDE. Git is preinstalled on AWS Cloud9 EC2 environments, making it easy to retrieve your source code.


AWS Solution Architect Interview Questions and Answers


More on AWS:


AWS AppSync Interview Questions and Answers


AWS Glue Interview Questions and Answers


AWS Cloud Interview Questions and Answers


AWS VPC Interview Questions and Answers         


AWS DevOps Cloud Interview Questions and Answers


AWS Aurora Interview Questions and Answers


AWS Database Interview Questions and Answers


AWS ActiveMQ Interview Questions and Answers


AWS Control Tower Interview Questions and Answers


AWS Lake Formation Interview Questions and Answers


AWS Data Pipeline Interview Questions and Answers


Amazon CloudSearch Interview Questions and Answers 


AWS Transit Gateway Interview Questions and Answers


Amazon Detective Interview Questions and Answers


Amazon EMR Interview Questions and Answers


Amazon OpenSearch Interview Questions and Answers

 



Top 20 Amazon Athena Interview Questions and Answers

 

        Amazon Athena is an interactive query service that makes it simple to use normal SQL to evaluate data in Amazon S3. Because Athena is serverless, you don't have to worry about maintaining infrastructure, and you just pay for the queries you run.

Athena is simple to operate. Simply point to your Amazon S3 data, define the schema, and begin querying using regular SQL. The majority of results arrive in seconds. There's no need for complicated ETL procedures to prepare your data for analysis with Athena. This makes it simple for anyone with SQL expertise to study massive datasets fast.

AWS Glue Data Catalog is pre-integrated with Athena, allowing you to construct a uniform metadata repository across multiple services, explore data sources to locate schemas, populate your Catalog with new and amended table and partition definitions, and maintain schema versioning.


AWS(Amazon Web Services) Interview Questions and Answers

AWS AppSync Interview Questions and Answers

AWS FinSpace Interview Questions and Answers


Ques. 1): What is Amazon Athena all about?

Answer:

Amazon Athena is an interactive query service that makes it simple to use normal SQL to evaluate data in Amazon S3. Because Athena is serverless, there is no infrastructure to set up or operate, and you can immediately begin analysing data. You don't even have to load your data into Athena; it works with S3 data immediately. Simply log into the Athena Management Console, create your schema, and begin querying. Amazon Athena works with a range of standard data formats, including CSV, JSON, ORC, Apache Parquet, and Avro, and leverages Presto with full SQL support. While Amazon Athena is great for interactive analytics and interacts with Amazon QuickSight for quick visualisation, it's not the most user-friendly platform. it can also handle complex analysis, including large joins, window functions, and arrays.


AWS Cloud Interview Questions and Answers

AWS Cloud9 Interview Questions and Answers

AWS MSK Interview Questions and Answers


Ques. 2): What makes Amazon Athena, Amazon EMR, and Amazon Redshift different?

Answer:

Different demands and use cases are addressed by query services like Amazon Athena, data warehouses like Amazon Redshift, and advanced data processing frameworks like Amazon EMR. All you have to do now is pick the correct tool for the job. For enterprise reporting and business intelligence workloads, Amazon Redshift provides the fastest query performance, especially for those utilising extremely sophisticated SQL with numerous joins and sub-queries. When compared to on-premises deployments, Amazon EMR makes running highly distributed processing frameworks like Hadoop, Spark, and Presto straightforward and cost effective. You can execute bespoke apps and code on Amazon EMR, as well as configure particular computing, memory, storage, and application parameters to maximise your analytic needs. Amazon Athena makes it simple to execute interactive queries over S3 data without having to set up or manage any servers.


AWS RedShift Interview Questions and Answers

AWS VPC Interview Questions and Answers

AWS EventBridge Interview Questions and Answers


Ques. 3): When should I utilise Amazon EMR and when should I use Amazon Athena?

Answer:

Amazon EMR is capable of much more than just conducting SQL queries. You can use EMR to conduct a variety of scale-out data processing activities for applications like machine learning, graph analytics, data transformation, streaming data, and almost anything else you can think of. If you utilise custom code to handle and analyse extremely huge datasets with the latest big data processing frameworks like Spark, Hadoop, Presto, or Hbase, you should use Amazon EMR. Amazon EMR allows you complete control over the configuration and applications installed on your clusters.

If you want to conduct interactive SQL queries against data on Amazon S3 without having to manage any infrastructure or clusters, you should utilise Amazon Athena.


AWS Cloud Practitioner Essentials Questions and Answers

AWS ActiveMQ Interview Questions and Answers

AWS Simple Notification Service (SNS) Interview Questions and Answers


Ques. 4): What data formats is Amazon Athena compatible with?

Answer:

Amazon Athena can handle a wide range of data formats, including CSV, TSV, JSON, and Textfiles, as well as open source columnar formats like Apache ORC and Apache Parquet. Snappy, Zlib, LZO, and GZIP compressed data formats are also supported by Athena. You can increase speed and lower costs by compressing, dividing, and adopting columnar formats.


AWS EC2 Interview Questions and Answers

AWS Database Interview Questions and Answers

AWS QuickSight Interview Questions and Answers


Ques. 5): I'm getting data from Kinesis Firehose. How can I use Athena to query it?

Answer:

You can use Amazon Athena to query your Kinesis Firehose data if it's hosted on Amazon S3. Simply construct an Athena schema for your data and begin querying. To improve efficiency, we recommend dividing the data into parts. ALTER TABLE DDL instructions can be used to add partitions produced by Kinesis Firehose. Get more information on partitions.


AWS Lambda Interview Questions and Answers

AWS Cloud Interview Questions and Answers

AWS SQS Interview Questions and Answers


Ques. 6): How can I make my query perform better?

Answer:

By compressing, splitting, or turning your data into columnar formats, you can increase the performance of your query. Apache Parquet and Apache ORC are two open source columnar data formats that Amazon Athena supports. By allowing Athena to scan less data from S3 when executing your query, converting your data into a compressed, columnar format minimizes your costs and increases query performance.


AWS Cloud Security Interview Questions and Answers

AWS Cloud Support Engineer Interview Question and Answers

AWS AppFlow Interview Questions and Answers


Ques. 7): What is a federated query, exactly?

Answer:

If you have data in places other than Amazon S3, you may use Athena to query it or create pipelines to extract data from numerous sources and put it in Amazon S3. You can perform SQL queries against data stored in relational, non-relational, object, and custom data sources using Athena Federated Query.


AWS Simple Storage Service (S3) Interview Questions and Answers

AWS Control Tower Interview Questions and Answers

AWS QLDB Interview Questions and Answers


Ques. 8): Can I do ETL (Extract, Transform, Load) using federated queries?

Answer:

Athena stores query results in an Amazon S3 file. This means Athena may be used to make federated data accessible to other users and apps. Use Athena's CREATE TABLE AS function to perform analysis on the data without having to query the underlying source frequently. You may also query the data using Athena's UNLOAD function and save the results in a specific file format to Amazon S3.


AWS Fargate Interview Questions and Answers

AWS Lake Formation Interview Questions and Answers

AWS STEP Functions Interview Questions and Answers


Ques. 9): What embedded ML use cases does Athena support?

Answer:

The following examples show how Athena can be used in a variety of sectors. What-if analysis and Monte Carlo simulations are available to financial risk data analysts. To aid in the creation of richer and forward-looking business dashboards that forecast revenues, business analysts may use linear regression or forecasting models to predict future values. K-means clustering methods could aid marketing analysts in determining their various client categories. Logical regression models could be used by security analysts to uncover abnormalities and detect security incidents in logs.


AWS SageMaker Interview Questions and Answers

AWS Data Pipeline Interview Questions and Answers

Amazon Managed Blockchain Questions and Answers


Ques. 10): What capabilities does Athena ML have?

Answer:

Athena provides machine learning inference (prediction) capabilities using a SQL interface. You can also use an Athena UDF to perform pre- or post-processing logic on your result set. Multiple calls can be batched together for increased scalability, and inputs can be any column, record, or table. Inference can be performed during the Select or Filter phases.


AWS DynamoDB Interview Questions and Answers

Amazon CloudSearch Interview Questions and Answers 

AWS Message Queue(MQ) Interview Questions and Answers


Ques. 11): Is Athena highly available?

Answer:

Yes. Amazon Athena is highly available, executing queries across many facilities and intelligently routing queries correctly if one of the facilities is unavailable. Athena's underlying data store is Amazon S3, which makes your data highly available and durable. Amazon S3 provides a reliable infrastructure for storing essential data, with 99.999999999 percent object durability. Your information is duplicated across numerous facilities and devices inside each facility.


AWS Cloudwatch interview Questions and Answers

AWS Transit Gateway Interview Questions and Answers

AWS Serverless Application Model(SAM) Interview Questions and Answers


Ques. 12): What should I do to lower the costs?

Answer:

By compressing, splitting, and turning your data into columnar formats, you can save 30 percent to 90 percent on query costs while also improving performance. Each of these actions reduces the quantity of data that Amazon Athena must scan in order to complete a query. Apache Parquet and ORC, two of the most popular open-source columnar formats, are supported by Amazon Athena. On the Athena console, you can view how much data was scanned for each query.


AWS Elastic Block Store (EBS) Interview Questions and Answers

Amazon Detective Interview Questions and Answers

AWS X-Ray Interview Questions and Answers


Ques. 13): Are there any other fees related with Amazon Athena?

Answer:

Your source data is invoiced at S3 rates because Amazon Athena queries data directly from Amazon S3. When you perform a query through Amazon Athena, the results are saved in an S3 bucket of your choosing, and you are charged at standard S3 rates for these result sets. We recommend that you keep an eye on these buckets and utilise lifecycle policies to limit how much data is kept.


AWS Amplify Interview Questions and Answers

Amazon EMR Interview Questions and Answers

AWS Wavelength Interview Questions and Answers


Ques. 14): Does the User Defined Functions (UDFs) are supported by Athena?

Answer:

User-defined functions (UDFs) in Amazon Athena allow you to create new scalar functions and utilise them in SQL queries. While Athena has built-in capabilities, UDFs allow you to conduct custom processing such as data compression and decompression, redaction of sensitive material, and bespoke decryption.


AWS GuardDuty Questions and Answers

Amazon OpenSearch Interview Questions and Answers

AWS Outposts Interview Questions and Answers


Ques. 15): In Amazon Athena, how can I add new data to an existing table?

Answer:

If your data is partitioned, you'll need to run an ALTER TABLE ADD PARTITION metadata query to add the partition to Athena once new data is available on Amazon S3. If your data isn't partitioned, simply adding new data (or files) to an existing prefix will add them to Athena.


AWS CloudFormation Interview Questions ans Answers

AWS Lightsail Questions and Answers

AWS Keyspaces Interview Questions and Answers


Ques. 16): What exactly is a SerDe?

Answer:

Serializer/Deserializer are libraries that teach Hive how to understand different data formats. You must mention a SerDe in Hive DDL statements so that the system knows how to interpret the data you're pointing to. SerDes is used by Amazon Athena to analyse data read from Amazon S3. SerDes is the same notion in Athena as it is in Hive. The following SerDes are supported by Amazon Athena:

Apache Web Logs: "org.apache.hadoop.hive.serde2.RegexSerDe"

CSV: "org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe"

TSV: "org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe"

Custom Delimiters: "org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe"

Parquet: "org.apache.hadoop.hive.ql.io.parquet.serde.ParquetHiveSerDe"

Orc: "org.apache.hadoop.hive.ql.io.orc.OrcSerde"

JSON: “org.apache.hive.hcatalog.data.JsonSerDe” OR org.openx.data.jsonserde.JsonSerDe


AWS DevOps Cloud Interview Questions and Answers

AWS ElastiCache Interview Questions and Answers

AWS ECR Interview Questions and Answers


Ques. 17): Can I query data processed with Amazon EMR using Amazon Athena?

Answer:

Yes, Amazon Athena and Amazon EMR both support many of the same data formats. The Athena data catalogue is compatible with the Hive metastore. If you're utilising EMR and already have a Hive metastore, you can query your data straight away without affecting your Amazon EMR operations by executing your DDL statements on Amazon Athena.


AWS Secrets Manager Interview Questions and Answers

AWS DocumentDB Interview Questions and Answers

AWS EC2 Auto Scaling Interview Questions and Answers


Ques. 18): How are table definitions and schema stored in Amazon Athena?

Answer:

To keep information and schemas about the databases and tables you create for your data saved in Amazon S3, Amazon Athena employs a managed Data Catalog. You can use the AWS Glue Data Catalog with Amazon Athena in regions where AWS Glue is accessible. Athena uses an internal Catalog in regions where AWS Glue is not available.


AWS Aurora Interview Questions and Answers

AWS Neptune Interview Questions and Answers

AWS MemoryDB Questions and Answers


The catalogue can be modified using DDL statements or the AWS Management Console. Unless you delete them directly, any schemas you define are automatically stored. Athena leverages schema-on-read technology, which means that when queries are run, your table definitions are applied to your data on S3. There’s no data loading or transformation required. You can delete table definitions and schema without impacting the underlying data stored on Amazon S3.


AWS Django Interview Questions and Answers

AWS Compute Optimizer Interview Questions and Answers

AWS CodeStar Interview Questions and Answers


Ques. 19): Can I use Athena to run any Hive query?

Answer:

Hive is only used by Amazon Athena for DDL (Data Definition Language) and for creating, modifying, and deleting tables and partitions. For a complete list of statements that are supported, please check here. When you run SQL queries on Amazon S3, Athena uses Presto. To query your data in Amazon S3, you can use ANSI-Compliant SQL SELECT queries.


AWS Solution Architect Interview Questions and Answers

AWS CloudShell Interview Questions and Answers

AWS Batch Interview Questions and Answers


Ques. 20): Is data partitioning possible with Amazon Athena?

Answer:

Yes. You can segment your data on any column with Amazon Athena. Partitions reduce the quantity of data scanned by each query, resulting in cost savings and faster performance. The PARTITIONED BY clause in the CREATE TABLE statement allows you to specify your partitioning plan.  


AWS Glue Interview Questions and Answers

AWS App2Container Questions and Answers

AWS App Runner Questions and Answers


Ques. 21): What is the purpose of data source connectors?

Answer:

A data source connector is a piece of AWS Lambda code that bridges the gap between your target data source and Athena. You can conduct SQL queries on federated data stores after using a data source connector to register a data store with Athena. When a query is conducted on a federated source, Athena invokes the Lambda function, which is tasked with executing the parts of your query that are unique to the federated source.


AWS Timestream Interview Questions and Answers

AWS PinPoint Questions and Answers