AWS Interview Q/A

Let's Know about few Important AWS Interview Q/A

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10 min read

AWS Interview Q/A
  1. What is AWS? Can you explain the core components of AWS?

    AWS (Amazon Web Services) is a leading cloud computing platform that offers a wide range of services, including IaaS and PaaS. It provides scalable solutions for various computing needs. Core components include computing services (EC2), storage services (S3, EBS), databases (RDS, DynamoDB), serverless computing (Lambda), messaging (SNS, SQS), content delivery (CloudFront), networking (VPC), container services (ECS), and more.

  2. What is Amazon EC2?

    Amazon Elastic Compute Cloud (EC2) is a web service that provides resizable compute capacity in the cloud. It allows users to run virtual machines (instances) for various computing tasks, making it easy to scale resources up or down based on demand.

  3. What is Amazon S3? How does it differ from EBS (Elastic Block Store)?

    Amazon S3 is a scalable object storage service, while EBS is a block storage service. S3 is used for storing files and data objects, while EBS provides block-level storage that attaches to EC2 instances. S3 is suitable for static files and backups, while EBS is used for data that requires low-latency access.

  4. What are the key benefits of using Amazon EC2 (Elastic Compute Cloud)?

    Key benefits of EC2 include scalability, flexibility, cost-effectiveness, and the ability to run various operating systems and applications. Users can easily provision and manage virtual machines to meet their computing needs.

  5. Explain the purpose of Amazon RDS (Relational Database Service) and how it differs from DynamoDB.

    Amazon RDS provides managed relational databases, while DynamoDB is a NoSQL database service. RDS is suitable for traditional relational databases like MySQL and PostgreSQL, whereas DynamoDB is designed for fast and scalable NoSQL data storage.

  6. What is Amazon Lambda? How does it enable serverless computing?

    Amazon Lambda is a serverless compute service. It allows developers to run code in response to events without managing servers. Developers upload code, and Lambda automatically scales and manages the infrastructure, making it a true serverless platform.

  7. Can you differentiate between Amazon SNS (Simple Notification Service) and SQS (Simple Queue Service)?

    Amazon SNS is a pub/sub messaging service that sends messages to multiple subscribers, while SQS is a message queue service that decouples components in a distributed system. SNS is used for broadcasting messages, and SQS is for reliable message queuing.

  8. What is the purpose of Amazon CloudFront? How does it work?

    Amazon CloudFront is a content delivery network (CDN) service that speeds up the distribution of static and dynamic web content. It caches content at edge locations, reducing latency and improving website performance for users globally.

  9. Explain the role of Amazon VPC (Virtual Private Cloud) and its advantages.

    Amazon VPC provides a private network within AWS, allowing users to isolate resources and control network traffic. It offers advantages like security, scalability, and the ability to create custom network configurations.

  10. What is Amazon ECS (Elastic Container Service)? How does it facilitate containerized applications?

    Amazon ECS is a container orchestration service that simplifies deploying, managing, and scaling containerized applications. It integrates with Docker containers and allows users to run applications in a highly available and scalable manner.

  11. Can you describe the use cases and benefits of using AWS Lambda@Edge?

    Lambda@Edge enables running Lambda functions at AWS CloudFront edge locations. Use cases include customizing content delivery, security, and real-time processing. Benefits include reduced latency and improved user experience.

  12. What is Amazon Redshift? How does it differ from traditional relational databases?

    Amazon Redshift is a data warehousing service optimized for analytics. It differs from traditional relational databases by providing columnar storage, massively parallel processing, and scalability for querying large datasets.

  13. Explain the purpose of AWS CloudFormation and how it aids in infrastructure management.

    AWS CloudFormation is an infrastructure as a code service that allows users to define and provision AWS infrastructure using templates. It streamlines infrastructure management, enabling automated provisioning and updates.

  14. What is AWS Elastic Beanstalk? How does it simplify application deployment?

    AWS Elastic Beanstalk is a Platform as a Service (PaaS) that simplifies application deployment and management. It automates infrastructure provisioning and application deployment, allowing developers to focus on code.

  15. Can you explain the core features and use cases of AWS Glue?

    AWS Glue is an ETL (Extract, Transform, Load) service for data preparation. It automates data discovery, cataloging, and transformation. Use cases include data integration, data warehousing, and analytics.

  16. What is Amazon Aurora? How does it provide high-performance and scalable database capabilities?

    Amazon Aurora is a high-performance relational database engine compatible with MySQL and PostgreSQL. It achieves performance and scalability through a distributed architecture and automatic failover.

  17. What are the key features of Amazon CloudWatch? How does it help in monitoring AWS resources?

    Amazon CloudWatch is a monitoring service that provides features like real-time metrics, alarms, and dashboards. It helps monitor AWS resources, applications, and the overall health of your environment.

  18. Explain the purpose of AWS Identity and Access Management (IAM) and its key components.

    AWS IAM is a service for managing user access to AWS resources. Key components include users, groups, roles, and policies. IAM ensures secure and controlled access to AWS services.

  19. What is AWS Auto Scaling? How does it help in managing application scalability?

    AWS Auto Scaling automatically adjusts the number of EC2 instances to maintain application availability and performance. It helps manage application scalability by adding or removing instances based on demand.

  20. Can you differentiate between Amazon Kinesis and AWS Data Pipeline?

    Amazon Kinesis is a real-time data streaming service, while AWS Data Pipeline is a data integration and ETL service. Kinesis is used for collecting and analyzing real-time data, while Data Pipeline is for orchestrating data workflows.

  21. What is AWS Elastic Load Balancing? How does it distribute traffic to EC2 instances?

    AWS Elastic Load Balancing distributes incoming traffic across multiple EC2 instances to ensure high availability and fault tolerance. It can use algorithms to route traffic and perform health checks on instances.

  22. Explain the purpose of AWS Lambda. What are its key features and benefits?

    AWS Lambda is a serverless compute service that runs code in response to events. Key features include automatic scaling, zero server management, and a pay-as-you-go pricing model. Benefits include reduced operational overhead and cost efficiency.

  23. What is Amazon DynamoDB? How does it differ from traditional relational databases?

    Amazon DynamoDB is a managed NoSQL database service known for its speed and scalability. It differs from traditional relational databases by its flexible schema, automatic scaling, and the ability to handle high-throughput workloads.

  24. Describe the features and benefits of Amazon CloudWatch.

    Amazon CloudWatch offers features like centralized monitoring, customizable dashboards, and automated alarms. Benefits include improved resource visibility, cost optimization, and streamlined operational processes.

  25. What is Amazon Route 53? How does it facilitate domain registration and DNS management?

    Amazon Route 53 is a scalable domain name system (DNS) web service. It facilitates domain registration, DNS management, and traffic routing to AWS resources or external endpoints, ensuring high availability.

  26. Explain the purpose of AWS CloudTrail and how it aids in auditing and compliance.

    AWS CloudTrail records API calls and actions taken in AWS accounts. It aids in auditing and compliance by providing an audit trail, helping users monitor and ensure security and compliance with regulations.

  27. What is AWS Direct Connect? How does it enable a dedicated network connection to AWS?

    AWS Direct Connect provides dedicated network connections between on-premises data centers and AWS. It ensures secure and reliable network connectivity, reducing data transfer costs and improving performance.

  28. Describe the use cases and advantages of Amazon ElastiCache.

    Amazon ElastiCache is an in-memory data store service. Use cases include caching, real-time analytics, and session management. Advantages include reduced latency and improved application performance.

  29. What is Amazon S3 Glacier? How does it provide long-term data archival?

    Amazon S3 Glacier is a storage class for long-term data archival. It offers low-cost storage with retrieval options to meet compliance and data retention requirements.

  30. Explain the purpose of AWS Elastic Transcoder and how it facilitates media transcoding.

    AWS Elastic Transcoder is a media transcoding service. It converts media files into different formats for various devices. It simplifies the process of delivering multimedia content across different platforms.

  31. What is AWS Step Functions? How does it enable serverless workflow orchestration?

    AWS Step Functions is a serverless service for building and coordinating workflows. It connects multiple AWS services and external actions to create serverless applications with coordinated execution.

  32. Describe the key features and use cases of AWS AppSync.

    AWS AppSync is a managed service for building real-time and offline-capable GraphQL APIs. Key features include real-time data synchronization and offline access. Use cases include mobile and web app development.

  33. What is Amazon SQS (Simple Queue Service)? How does it facilitate message queuing?

    Amazon SQS is a message queue service that enables the decoupling of distributed system components. It allows for reliable and scalable message queuing, helping manage workloads and inter-component communication.

  34. Explain the purpose of AWS Snowball and how it aids in data migration.

    AWS Snowball is a service for securely transferring large amounts of data to and from AWS. It provides physical appliances for data transport, simplifying data migration, especially for large datasets.

  35. What is Amazon EMR (Elastic MapReduce)? How does it simplify big data processing?

    Amazon EMR is a managed big data platform that simplifies processing and analyzing large data sets. It supports popular big data frameworks like Hadoop and Spark, making it easier to work with big data.

  36. Describe the features and benefits of AWS CloudFront.

    AWS CloudFront is a content delivery network (CDN) service that provides features like global content distribution, low latency, and improved website performance. Benefits include enhanced user experience and reduced load on origin servers.

  37. What is AWS Snowflake? How does it provide a data warehousing solution?

    AWS Snowflake is a cloud-based data warehousing solution. It offers features like data sharing, scalability, and separation of storage and compute, making it suitable for data analytics and business intelligence.

  38. Explain the purpose of AWS Glue and how it aids in ETL (Extract, Transform, Load) processes.

    AWS Glue is an ETL service that automates data preparation. It discovers, catalogs, and transforms data, simplifying the ETL process for analytics and data integration.

  39. What is Amazon Athena? How does it enable interactive querying of data in S3?

    Amazon Athena is an interactive query service that allows users to analyze data in Amazon S3 using SQL queries. It provides fast and cost-effective access to data without the need for infrastructure management.

  40. Describe the use cases and benefits of Amazon EKS (Elastic Kubernetes Service).

    Amazon EKS is a managed Kubernetes service. Use cases include container orchestration, application scaling, and simplifying the management of Kubernetes clusters. Benefits include reliability and reduced operational overhead.

  41. What is Amazon Cognito? How does it provide user authentication and authorization?

    Amazon Cognito is an identity and access management service. It provides features for user authentication and authorization, allowing developers to secure access to their applications and services.

  42. Explain the purpose of AWS Secrets Manager and how it helps in securely managing secrets.

    AWS Secrets Manager is a service for securely storing and managing sensitive information, such as API keys and database credentials. It simplifies the rotation and retrieval of secrets while ensuring security.

  43. What is AWS WAF (Web Application Firewall)? How does it protect web applications?

    AWS WAF is a web application firewall service that protects web applications from malicious attacks, such as SQL injection and cross-site scripting. It allows users to create custom rules to filter and monitor web traffic.

  44. Describe the features and advantages of AWS CodeDeploy.

    AWS CodeDeploy is a deployment service that automates code deployments to EC2 instances and other compute resources. It offers features like automated deployments, centralized control, and flexibility in deploying applications.

  45. What is AWS Data Pipeline? How does it facilitate data movement and transformation?

    AWS Data Pipeline is a web service for orchestrating and automating the movement and transformation of data between different AWS services and on-premises data sources. It streamlines data workflows and processing.

  46. Explain the purpose of AWS X-Ray and how it aids in application performance monitoring.

    AWS X-Ray is a service that helps developers analyze and troubleshoot the performance of applications. It provides insights into application behavior and identifies bottlenecks, making it easier to optimize performance.

  47. What is Amazon Elastic File System (EFS)? How does it provide scalable file storage?

    Amazon EFS is a scalable file storage service that provides shared file storage for EC2 instances. It supports network file system (NFS) protocols and scales automatically based on usage.

  48. Describe the key features and use cases of Amazon CloudSearch.

    Amazon CloudSearch is a managed search service. Key features include full-text search, faceted search, and real-time indexing. Use cases include creating search functionality for websites and applications.

  49. What is AWS OpsWorks? How does it simplify application lifecycle management?

    AWS OpsWorks is a configuration management service that automates application lifecycle management. It supports tasks like deployment, monitoring, and scaling, making it easier to manage applications.

  50. Explain the purpose of Amazon GuardDuty and how it helps in threat detection and monitoring.

    Amazon GuardDuty is a threat detection service that continuously monitors AWS accounts for malicious activity and unauthorized access. It helps in identifying security threats and vulnerabilities for proactive security measures.

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