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.

What are the advantages of using custom event sources for AWS Lambda over traditional event sources?

  • Built-in integration
  • Flexibility and extensibility
  • Higher reliability
  • Lower latency
The advantages of using custom event sources for AWS Lambda over traditional event sources include flexibility and extensibility, allowing you to integrate with a wide range of services and systems beyond those natively supported by AWS Lambda.

What are some examples of custom event sources that can trigger AWS Lambda functions?

  • AWS Step Functions, AWS Glue, AWS CodePipeline
  • Amazon API Gateway, Amazon CloudFront, Amazon S3
  • Amazon EC2, Amazon RDS, Amazon DynamoDB
  • Amazon SQS, Amazon SNS, Amazon Kinesis
Custom event sources for AWS Lambda include services like Amazon SQS, Amazon SNS, and Amazon Kinesis, allowing you to trigger functions in response to messages, notifications, and streaming data.

What is the significance of integrating custom event sources with AWS Lambda?

  • Cost reduction
  • Extensibility
  • Latency reduction
  • Security enhancement
Integrating custom event sources with AWS Lambda extends the capabilities of Lambda functions, allowing them to respond to a wider range of events from external sources.

How do custom event sources differ from standard event sources in AWS Lambda?

  • Customizability
  • Built-in compatibility
  • Scalability
  • Performance
Custom event sources offer more flexibility and customization options compared to standard event sources, allowing developers to define their own event formats and sources.

What are custom event sources in AWS Lambda?

  • Built-in AWS services
  • External services or applications
  • Lambda-managed sources
  • On-premises data centers
Custom event sources in AWS Lambda refer to external services or applications that can trigger the execution of Lambda functions by emitting custom events.

Scenario: You need to create a serverless API that triggers AWS Lambda functions based on HTTP requests. Which AWS service would you use to manage the API endpoints and integrate with AWS Lambda?

  • Amazon API Gateway
  • AWS Lambda itself
  • Amazon SQS
  • AWS Step Functions
Amazon API Gateway is the correct option as it is a fully managed service designed for managing API endpoints and integrating with AWS Lambda for triggering functions based on HTTP requests.

Scenario: Your team is concerned about optimizing the performance of AWS Lambda functions. What strategies would you recommend to minimize cold start times?

  • Adding more logging statements
  • Implementing provisioned concurrency
  • Increasing memory allocation
  • Reducing code size
Implementing provisioned concurrency is the recommended strategy to minimize cold start times in AWS Lambda functions as it allocates a set of concurrent executions to keep instances warm.

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.

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.

__________ 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 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.