What are some benefits of using AWS Lambda for serverless computing?
- High upfront costs
- Limited language support
- Reduced operational overhead
- Requires manual scaling
AWS Lambda reduces operational overhead by automatically managing server provisioning, maintenance, and scaling, allowing developers to focus on code development.
How does AWS Lambda integrate with other AWS services?
- Direct API calls
- Manual configuration
- Only through SDKs
- Through event sources
AWS Lambda integrates with other AWS services through event sources, allowing functions to be triggered by events such as file uploads to Amazon S3 or database updates in Amazon DynamoDB.
Environment variables in AWS Lambda can be used to store sensitive information such as __________.
- API keys
- Encryption keys
- HTML code
- Public URLs
Environment variables in AWS Lambda can be used to store sensitive information such as API keys, database credentials, and configuration settings.
AWS Lambda functions can be written in multiple __________ such as Python, Node.js, and Java.
- Frameworks
- IDEs
- Languages
- Platforms
AWS Lambda functions can be written in multiple programming languages such as Python, Node.js, Java, C#, and Go, among others.
In what scenarios would you recommend using custom event sources with AWS Lambda?
- Database management
- Integration with third-party services
- Internal service communication
- Load balancing
Custom event sources in AWS Lambda are recommended when integrating with third-party services that generate events not natively supported by AWS services.
AWS Lambda functions are triggered by various __________ such as API Gateway, S3 events, and CloudWatch Events.
- Events
- Jobs
- Messages
- Triggers
AWS Lambda functions are triggered by various events such as API Gateway requests, S3 bucket events, and CloudWatch Events, which invoke the execution of the function.
AWS Lambda supports concurrent executions, allowing multiple instances of a function to run __________.
- Individually
- Sequentially
- Simultaneously
- Sparingly
AWS Lambda supports concurrent executions, allowing multiple instances of a function to run simultaneously, enabling scalable and responsive applications.
__________ is a feature of AWS Lambda that allows you to manage and deploy serverless applications.
- AWS Amplify
- AWS CloudFormation
- AWS Serverless Application Model (SAM)
- AWS Step Functions
AWS Serverless Application Model (SAM) is a feature of AWS Lambda that allows you to manage and deploy serverless applications.
AWS Lambda@Edge enables you to run Lambda functions at __________ locations for improved latency.
- Cloud
- Data center
- Edge
- Regional
AWS Lambda@Edge enables you to run Lambda functions at edge locations for improved latency, allowing you to process data closer to the end user.
Scenario: You are designing a serverless architecture for a real-time analytics application. Which AWS service would you use to process incoming data streams and trigger AWS Lambda functions?
- Amazon Kinesis
- Amazon S3
- Amazon Redshift
- Amazon EC2
Amazon Kinesis is the correct option as it is designed for real-time processing of streaming data and can trigger AWS Lambda functions based on data events.