MCQs on Advanced AWS Lambda Architectures and Best Practices | AWS Lambda MCQs

Master the advanced concepts of AWS Lambda architectures with our collection of 30 multiple-choice questions. This set covers key topics such as building microservices, event-driven architectures, CI/CD pipelines, managing infrastructure as code, and cost optimization strategies. Use these AWS Lambda MCQ questions and answers to improve your Lambda expertise and prepare for exams or real-world applications.


Chapter 10: Advanced AWS Lambda Architectures and Best Practices

1. Building Microservices with AWS Lambda

  1. What is the primary advantage of using AWS Lambda for microservices?
    a. High availability
    b. Event-driven nature
    c. Reduced operational overhead
    d. Integrated API Gateway
  2. Which AWS service is commonly used to manage communication between Lambda microservices?
    a. Amazon S3
    b. AWS Step Functions
    c. Amazon SNS
    d. AWS Kinesis
  3. In a microservices architecture, which of the following is a benefit of using Lambda functions?
    a. Long-running processes
    b. Independent scaling of services
    c. High memory usage
    d. Complex state management
  4. How do Lambda functions interact in a microservices environment?
    a. Via AWS Lambda Destinations
    b. Through synchronous API calls
    c. Using Amazon CloudFront
    d. Using AWS CloudFormation
  5. Which design pattern is recommended when building microservices with Lambda?
    a. Monolithic pattern
    b. Shared database pattern
    c. Event-driven pattern
    d. Client-server pattern

2. Lambda for Event-Driven Architectures (EventBridge, Step Functions)

  1. What is the primary function of AWS EventBridge in an event-driven architecture?
    a. Event processing
    b. Data storage
    c. Event filtering and routing
    d. Data analytics
  2. Which AWS service is used to coordinate workflows between Lambda functions in an event-driven setup?
    a. AWS Step Functions
    b. Amazon S3
    c. Amazon CloudWatch
    d. Amazon DynamoDB
  3. How does EventBridge allow event-driven architectures to scale efficiently?
    a. By batching events
    b. By sending events to multiple Lambda functions
    c. By using only one event source
    d. By storing events in DynamoDB
  4. Which type of event source can trigger an AWS Lambda function using EventBridge?
    a. AWS CloudFormation
    b. AWS Systems Manager
    c. Amazon S3
    d. AWS services and custom events
  5. What is the role of AWS Step Functions in an event-driven architecture?
    a. Store event data
    b. Trigger Lambda functions on schedule
    c. Orchestrate a sequence of Lambda function executions
    d. Monitor Lambda metrics

3. Implementing CI/CD Pipelines for Lambda

  1. Which AWS service is commonly used to deploy Lambda functions in a CI/CD pipeline?
    a. AWS CodePipeline
    b. AWS CloudFormation
    c. AWS CodeDeploy
    d. AWS CodeCommit
  2. What is the role of AWS CodeBuild in a Lambda CI/CD pipeline?
    a. Deploy Lambda functions
    b. Automate function updates
    c. Build and test Lambda function code
    d. Monitor Lambda performance
  3. In a CI/CD pipeline for Lambda, which action is performed by AWS CodeDeploy?
    a. Version control
    b. Continuous integration
    c. Deployment of Lambda functions
    d. Code testing
  4. Which tool is commonly used to automate deployment and management of Lambda functions in a CI/CD pipeline?
    a. AWS Lambda Destinations
    b. Serverless Framework
    c. Amazon RDS
    d. AWS Elastic Beanstalk
  5. How does AWS CloudFormation help in managing Lambda deployments in CI/CD pipelines?
    a. By defining infrastructure as code
    b. By providing real-time monitoring
    c. By enabling direct Lambda invocation
    d. By automating function logging

4. Managing Infrastructure as Code (AWS SAM, Serverless Framework)

  1. What is AWS SAM (Serverless Application Model) primarily used for?
    a. Deploying EC2 instances
    b. Managing S3 storage
    c. Defining serverless applications as code
    d. Managing relational databases
  2. Which file format is used by AWS SAM to define Lambda functions and other resources?
    a. YAML
    b. JSON
    c. CSV
    d. XML
  3. How does the Serverless Framework simplify Lambda deployments?
    a. By managing AWS infrastructure
    b. By automating monitoring tasks
    c. By deploying code to on-premise servers
    d. By managing Lambda log groups
  4. Which command is used to deploy a serverless application with the Serverless Framework?
    a. sls deploy
    b. aws deploy
    c. sam deploy
    d. deploy-lambda
  5. What is the benefit of using Infrastructure as Code (IaC) for Lambda functions?
    a. Easier manual management
    b. Automation of deployments and configurations
    c. Cost savings
    d. Reduced security risks

5. Cost Optimization Strategies for Lambda Functions

  1. Which AWS Lambda feature helps reduce function execution costs?
    a. Reserved concurrency
    b. Automatic scaling
    c. Function versioning
    d. Event-driven triggers
  2. To optimize Lambda costs, which function configuration should be considered?
    a. Increasing memory
    b. Reducing execution time
    c. Increasing timeout
    d. Decreasing function timeout
  3. Which AWS tool helps monitor and optimize Lambda function performance and cost?
    a. AWS Cost Explorer
    b. AWS CloudWatch
    c. AWS X-Ray
    d. AWS Trusted Advisor
  4. What strategy can be used to minimize idle time and cost in AWS Lambda functions?
    a. Use warm-up strategies
    b. Increase function memory
    c. Disable function logging
    d. Set longer timeouts
  5. How does choosing the correct Lambda memory allocation help with cost optimization?
    a. It reduces Lambda’s cold start time
    b. It allows for larger data storage
    c. It ensures higher performance and cost efficiency
    d. It automatically scales the function
  6. Which of the following is a key benefit of using AWS Lambda with API Gateway in terms of cost?
    a. Reduced API call charges
    b. Pay-per-use pricing model
    c. Enhanced data caching
    d. No cost for idle time
  7. To optimize Lambda cost during function execution, what is important?
    a. Minimize the number of invocations
    b. Use larger payloads for quicker execution
    c. Use higher concurrency
    d. Use more memory and timeout
  8. Which Lambda setting can be adjusted to reduce invocation frequency and lower costs?
    a. Event filters
    b. Concurrency settings
    c. Timeout duration
    d. Memory size
  9. What is the purpose of using Lambda@Edge to optimize costs?
    a. Reduce cold start latency
    b. Perform actions closer to end-users
    c. Improve function scalability
    d. Streamline error handling
  10. Which service helps track and optimize AWS Lambda costs?
    a. AWS Cost Explorer
    b. AWS Budget
    c. AWS Pricing Calculator
    d. AWS Lambda Cost Analyzer

Answer Key

QNoAnswer
1c. Reduced operational overhead
2b. AWS Step Functions
3b. Independent scaling of services
4b. Through synchronous API calls
5c. Event-driven pattern
6c. Event filtering and routing
7a. AWS Step Functions
8b. By sending events to multiple Lambda functions
9d. AWS services and custom events
10c. Orchestrate a sequence of Lambda function executions
11a. AWS CodePipeline
12c. Build and test Lambda function code
13c. Deployment of Lambda functions
14b. Serverless Framework
15a. By defining infrastructure as code
16c. Defining serverless applications as code
17a. YAML
18a. By managing AWS infrastructure
19a. sls deploy
20b. Automation of deployments and configurations
21b. Automatic scaling
22b. Reducing execution time
23b. AWS CloudWatch
24a. Use warm-up strategies
25c. It ensures higher performance and cost efficiency
26b. Pay-per-use pricing model
27a. Minimize the number of invocations
28b. Concurrency settings
29b. Perform actions closer to end-users
30a. AWS Cost Explorer

Use a Blank Sheet, Note your Answers and Finally tally with our answer at last. Give Yourself Score.

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