How does AWS Lambda pricing typically work?
- Fixed monthly subscription
- Pay-per-invocation
- Pay-per-storage
- Pay-per-use
AWS Lambda pricing typically works on a pay-per-use model, where you are charged for the compute time consumed by your function.
How does AWS Lambda handle scaling automatically?
- Automatically adjusts based on incoming traffic
- Relies on third-party tools for scaling
- Requires manual intervention for scaling
- Uses static scaling configurations
AWS Lambda automatically adjusts its capacity to handle incoming traffic, scaling up or down as needed to accommodate changes in demand.
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.
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.