The maximum size for an uncompressed deployment package for Lambda is _________.
- 1 GB
- 100 MB
- 250 MB
- 500 MB
1000 MB exceeds the maximum size limit for an uncompressed deployment package in AWS Lambda; the correct answer is 250 MB.
AWS Lambda allows you to set _________ to control resource usage and costs.
- Execution time
- IAM policies
- Memory size
- Timeout
AWS Lambda allows you to set memory size for your functions to control resource usage and costs.
To ensure high availability and fault tolerance, AWS Lambda automatically scales the execution ________.
- Horizontally
- Manually
- Statically
- Vertically
AWS Lambda automatically scales the execution horizontally, meaning it adds more instances to handle increased load.
AWS Trusted Advisor can provide recommendations on optimizing Lambda usage based on ________.
- Cost only
- Performance only
- Performance, cost, security, and fault tolerance
- Security only
AWS Trusted Advisor can analyze various aspects of Lambda usage, including performance, cost, security, and fault tolerance, to provide recommendations for optimization.
How does IAM role and permissions affect the behavior of an AWS Lambda function?
- Define the function's runtime environment
- Determine what AWS services the function can access
- Manage the function's memory allocation
- Specify the function's timeout duration
IAM roles and permissions determine the AWS services and resources that the Lambda function can access, ensuring appropriate access controls and security.
What are some common methods for handling dependencies in AWS Lambda functions?
- Installing dependencies at runtime
- Packaging dependencies with the function code
- Sharing dependencies across multiple functions
- Storing dependencies in a separate S3 bucket
One common method for handling dependencies in AWS Lambda functions is to package them along with the function code, typically using tools like AWS SAM or AWS CLI.
How can you test the functionality of an AWS Lambda function before deploying it?
- Deploying directly to production
- Locally using a testing framework
- Manual testing in production
- Testing only after deployment
AWS Lambda functions can be tested locally using testing frameworks like AWS SAM or the Serverless Framework, allowing developers to simulate events and verify functionality before deployment.
Scenario: Your team is developing a real-time data processing application using AWS Lambda. How would you design the architecture to accommodate Lambda's concurrency limits?
- Configure Amazon SQS as an event source
- Implement event-driven architecture
- Increase Lambda function memory
- Provision additional AWS Lambda functions
Implementing an event-driven architecture allows AWS Lambda to scale automatically, mitigating the impact of concurrency limits by dynamically allocating resources based on incoming events.
Scenario: A Lambda function in your application occasionally hits the timeout limit. How would you troubleshoot and resolve this issue?
- Enable AWS X-Ray tracing
- Increase Lambda function memory
- Monitor CloudWatch Logs
- Optimize code and increase timeout
Optimizing code to improve performance and increasing the timeout setting can address the issue by allowing the function more time to complete its tasks.
Scenario: You're planning to migrate an existing application to serverless using AWS Lambda. What considerations would you take into account regarding Lambda's limits and quotas?
- Estimate function resource requirements
- Ignore Lambda limits
- Increase Lambda function memory
- Limit Lambda function invocations
Estimating resource requirements helps in avoiding resource contention and staying within Lambda's limits, ensuring optimal performance.