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| products:ict:cloud_computing:aws:lambda:assessment_1 [2023/06/08 00:42] – created wikiadmin | products:ict:cloud_computing:aws:lambda:assessment_1 [2023/06/08 01:06] (current) – wikiadmin |
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| | ====== Lambda Assessment 1 ====== |
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| | {{:products:ict:cloud_computing:aws:lambda:lambda-logo.jpeg?400|}} |
| Lambda Assessment 1 | |
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| This Lambda assessment evaluates the following skills : | This Lambda assessment evaluates the following skills : |
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| 1. Lambda Functions: Understanding the concept of lambda functions, their purpose, and how they differ from regular functions. | 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. |
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| 2. Syntax: Familiarity with the correct syntax for defining and using lambda functions in the programming language of choice (e.g., Python, JavaScript, etc.). | |
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| 3. Functionality: Ability to write lambda functions that perform specific tasks, such as filtering, mapping, reducing, sorting, or transforming data. | 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. |
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| 4. Parameter Handling: Knowledge of how to handle parameters and arguments within lambda functions, including multiple parameters and default values. | 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. |
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| 5. Variable Scope: Understanding the scope of variables within lambda functions and how they interact with variables defined outside the function. | 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. |
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| 6. Higher-order Functions: Understanding how to use lambda functions as arguments or return values of higher-order functions. | 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. |
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| 7. Integration with Libraries: Familiarity with using lambda functions in conjunction with popular libraries or frameworks, such as Pandas, NumPy, or JavaScript's array methods. | 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. |
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| 8. Error Handling: Ability to handle errors and exceptions within lambda functions effectively. | 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. |
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| 9. Performance Optimization: Awareness of techniques to optimize lambda functions for better performance, such as avoiding unnecessary computations or leveraging parallelization. | 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. |
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| 10. Use Cases: Knowledge of real-world use cases where lambda functions are commonly employed, such as event-driven programming, asynchronous programming, or functional programming paradigms. | 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. |
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| | 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. |
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| | 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. |
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| {{:atrc_website:hands_on_assessments_logo_-_26_april_2022-6.jpeg?400|}} | {{:atrc_website:hands_on_assessments_logo_-_26_april_2022-6.jpeg?400|}} |
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| [[products:ict:assessment:fees|LibreOffice and Linux Assessment Fees]] | [[products:ict:assessment:fees|Assessment Fees]] |
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| [[atrc_website:contact|Contact Information]] | [[atrc_website:contact|Contact Information]] |
