__________ 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.
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 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.
How do you configure custom event sources to trigger AWS Lambda functions?
- By configuring IAM roles
- By creating event source mappings
- By directly invoking the function
- By setting up AWS CloudWatch alarms
Custom event sources are configured to trigger AWS Lambda functions by creating event source mappings, which link a specific event source to a Lambda function, allowing it to trigger in response to events from that source.
How do you handle errors and retries when using custom event sources with AWS Lambda?
- Halt execution and alert administrator
- Ignore errors and proceed with execution
- Implement error handling and exponential backoff
- Retry immediately on failure
When using custom event sources with AWS Lambda, it's best practice to implement error handling mechanisms such as exponential backoff to manage retries and handle errors gracefully.