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.
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 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.
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.
What are some common AWS services that automatically publish CloudWatch Metrics?
- AWS Lambda, Amazon SQS, Amazon DynamoDB
- Amazon CloudFront, AWS IAM, AWS Elastic Beanstalk
- Amazon EC2, Amazon RDS, Amazon S3
- Amazon Redshift, Amazon EKS, AWS Glue
Amazon EC2, Amazon RDS, and Amazon S3 are among the AWS services that automatically publish CloudWatch Metrics, providing insights into resource utilization and performance.