AWS Lambda Assessment Test

An AWS Lambda Assessment Test evaluates candidates for their proficiency in designing, developing, and deploying serverless applications using AWS Lambda. Lambda is a serverless compute service that allows developers to run code in response to events without provisioning or managing servers. This assessment typically covers the following aspects:

1. Lambda Basics: Testing candidates' understanding of basic AWS Lambda concepts, including function invocations, event sources, execution environments, runtime environments, and Lambda execution models (synchronous, asynchronous, stream-based).
2. Function Creation and Configuration: Evaluating candidates' ability to create, configure, and deploy Lambda functions using the AWS Management Console, AWS CLI, or AWS SDKs (e.g., Python, Node.js, Java), including defining function handlers, specifying runtime environments, and configuring function triggers.
3. Event Sources and Triggers: Assessing candidates' skills in integrating Lambda functions with various event sources and triggers, such as AWS S3 events, AWS SNS notifications, AWS SQS messages, AWS API Gateway requests, AWS DynamoDB streams, and AWS CloudWatch events.
4. Serverless Architectures: Testing candidates' knowledge of designing serverless architectures using Lambda functions, including composing functions into serverless applications, implementing microservices patterns, and leveraging other AWS services (e.g., AWS API Gateway, AWS DynamoDB, AWS S3) for building scalable and resilient applications.
5. Function Development: Evaluating candidates' proficiency in developing serverless functions using supported programming languages (e.g., Python, Node.js, Java), writing code logic for handling event data, implementing error handling mechanisms, and optimizing function performance and resource utilization.
6. Deployment and Versioning: Assessing candidates' ability to deploy Lambda functions to AWS Lambda runtime environments, manage function versions and aliases, configure function concurrency and memory settings, and perform blue-green deployments and canary releases for function updates.
7. Logging and Monitoring: Testing candidates' familiarity with logging and monitoring Lambda functions using AWS CloudWatch Logs and AWS CloudWatch Metrics, configuring log retention policies, setting up alarms for function metrics, and troubleshooting function errors and performance issues.
8. Security and Permissions: Evaluating candidates' understanding of securing Lambda functions using AWS Identity and Access Management (IAM) policies, configuring function execution roles, implementing least privilege principles, and encrypting function code and environment variables.
9. Environment Variables and Configuration: Assessing candidates' skills in managing environment variables and configuration settings for Lambda functions, passing runtime parameters and settings to function code, and securely storing sensitive information using AWS Secrets Manager or AWS Systems Manager Parameter Store.
10. Integration with AWS Services: Testing candidates' knowledge of integrating Lambda functions with other AWS services (e.g., AWS DynamoDB, AWS S3, AWS SNS, AWS SQS) for data processing, data storage, event-driven architectures, and serverless workflows.
11. Testing and Debugging: Evaluating candidates' ability to test Lambda functions locally using development environments (e.g., AWS SAM CLI, Serverless Framework), debug function code using logging and debugging tools, and perform unit tests and integration tests for function logic.
12. Scaling and Performance Optimization: Assessing candidates' understanding of scaling Lambda functions automatically based on incoming request volume, configuring function concurrency limits, optimizing function performance using cold starts mitigation techniques, and implementing caching mechanisms.
13. Cost Optimization: Testing candidates' knowledge of optimizing AWS Lambda costs by understanding pricing models, estimating function execution costs, implementing cost-effective architectures, and leveraging features like provisioned concurrency and AWS Lambda Reserved Instances.
14. Compliance and Governance: Evaluating candidates' familiarity with compliance requirements (e.g., GDPR, HIPAA, PCI DSS) related to serverless applications, implementing security controls for data protection, and auditing Lambda function activity using AWS CloudTrail and AWS Config.
15. Best Practices and Design Patterns: Assessing candidates' awareness of AWS Lambda best practices, design patterns, and architectural considerations for building scalable, reliable, and cost-efficient serverless applications.

Overall, our AWS Lambda Assessment Test measures candidates' knowledge, practical skills, and experience in developing serverless applications using AWS Lambda, providing valuable insights into their capabilities in serverless computing and cloud-native development.