Lambda Assessment 1
This Lambda assessment evaluates the following skills :
1. Lambda Function Creation: Evaluate the candidate's ability to create Lambda functions using the AWS Management Console, AWS CLI, or AWS SDKs. Check if they can configure the function's runtime, memory, timeouts, and environment variables.
2. Event Sources and Triggers: Assess the candidate's knowledge of different event sources and triggers that can invoke Lambda functions, such as API Gateway, S3, DynamoDB, CloudWatch Events, or custom events. Verify their understanding of how to configure event source mappings.
3. Programming Languages: Determine the candidate's proficiency in programming languages supported by Lambda, such as Node.js, Python, Java, C#, or Go. Assess their ability to write efficient and scalable code for Lambda functions.
4. Deployment and Packaging: Evaluate the candidate's knowledge of deploying Lambda functions using AWS SAM (Serverless Application Model), AWS CloudFormation, or other deployment tools. Check if they can package their functions and dependencies appropriately.
5. Logging and Monitoring: Assess the candidate's understanding of how to implement logging and monitoring for Lambda functions. Evaluate their knowledge of integrating with services like CloudWatch Logs, CloudWatch Metrics, or X-Ray for troubleshooting and performance analysis.
6. Error Handling and Retries: Determine the candidate's ability to handle errors and retries in Lambda functions. Check if they understand how to implement error handling mechanisms, such as implementing exponential backoff and integrating with services like SQS for dead-letter queues.
7. Security and IAM: Evaluate the candidate's understanding of AWS Identity and Access Management (IAM) and their ability to implement security best practices for Lambda functions. Check if they can configure appropriate IAM roles and policies for function execution.
8. Performance and Optimization: Assess the candidate's knowledge of performance optimization techniques for Lambda functions, including memory allocation, parallel execution, and using global variables effectively.
9. Integration with Other AWS Services: Determine the candidate's familiarity with integrating Lambda functions with other AWS services, such as AWS Step Functions, AWS SNS, AWS SQS, or AWS Kinesis.
10. Serverless Architecture Concepts: Evaluate the candidate's understanding of serverless architecture concepts, such as function-as-a-service, statelessness, and scalability. Assess their ability to design and architect solutions using Lambda functions.
This assessment uses a combination of interview questions, practical coding exercises, and scenario-based discussions to evaluate the candidate's skills in these areas. Also it onsiders real-world project experience and the candidate's ability to troubleshoot and debug Lambda functions to provide a more comprehensive assessment.
