Data Science Interview Questions Data Science Interview Questions 1. What...
Read MoreAmazon Web Services (AWS) is a comprehensive and widely adopted cloud computing platform offered by Amazon. It provides a variety of cloud services including computing power, storage options, networking capabilities, and databases, as well as machine learning, analytics, IoT, security, enterprise applications, and more.
1. Core Services
Compute: Services like Amazon EC2 (Elastic Compute Cloud) enable users to run virtual servers in the cloud. AWS Lambda allows developers to run code without provisioning or managing servers, facilitating serverless architectures.
Storage: Amazon S3 (Simple Storage Service) provides scalable object storage. Amazon EBS (Elastic Block Store) offers block storage for use with EC2 instances, while Amazon Glacier is optimized for archival and backup storage.
Databases: AWS offers different database services, including Amazon RDS (Relational Database Service), Amazon DynamoDB (a NoSQL database), and Amazon Aurora, which is a MySQL and PostgreSQL-compatible relational database.
Networking: Key networking services include Amazon VPC (Virtual Private Cloud) to create isolated cloud resources, Amazon Route 53 for DNS management, and AWS Direct Connect for dedicated network connections.
2. Management and Security
IAM (Identity and Access Management): Allows users to securely manage access to AWS services and resources.
CloudTrail: Provides governance, compliance, and operational and risk auditing of the AWS account.
CloudWatch: Offers monitoring and observability services, allowing users to track performance metrics in real-time.
3. Developer Tools
AWS provides a suite of tools for developers, including AWS CodeDeploy, AWS CodePipeline, and AWS CloudFormation, facilitating CI/CD (Continuous Integration/Continuous Deployment) and infrastructure as code.
4. Analytics and Machine Learning
AWS offers various services like Amazon EMR (Elastic MapReduce) for big data processing, Amazon Athena for querying data in S3 using SQL, and Amazon SageMaker for building, training, and deploying machine learning models.
5. Application Integration
Services such as Amazon SQS (Simple Queue Service) and Amazon SNS (Simple Notification Service) help in building event-driven architectures and enable communication between distributed systems.
6. Global Presence
AWS has a global infrastructure that includes multiple geographic regions and availability zones, allowing users to deploy applications close to their end-users for low-latency access and redundancy.
7. Pricing Model
AWS uses a pay-as-you-go pricing model, which means users pay only for the services they consume, without upfront costs or long-term contracts. This model makes it cost-effective and scalable for businesses of all sizes.
8. Use Cases
AWS supports a wide range of use cases from startups to large enterprises, including web hosting, data backup and recovery, content delivery, application hosting, and enterprise IT modernization.
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