Software skills.
AWS Lambda Test
AWS Lambda is a serverless computing service that allows developers to run code without managing servers. It enables running code for virtually any type of application or backend service.
Summarize this test and see how it helps assess top talent with:
- Test type
- Software skills
- Duration
- 20 min
- Level
- Intermediate
- Questions
- 25
Available in
- English
Skills measured
Lambda Function Development
This skill assesses a candidate’s ability to create effective AWS Lambda functions, including defining handlers, structuring code, using environment variables, and managing dependencies. It tests understanding of function runtime behavior, code modularity, and lifecycle. Mastery here is foundational—developers must know how to write Lambda functions that are secure, efficient, and easily deployable, aligning with serverless principles and AWS best practices.
Event Source Integration
This skill focuses on configuring and understanding the triggers that invoke Lambda functions. Candidates are evaluated on how Lambda integrates with services like S3, API Gateway, DynamoDB, and EventBridge. Proper configuration ensures that events are reliably captured and routed, which is essential for building responsive and decoupled serverless applications. It also includes understanding sync vs async invocation models and batching behavior.
Function Monitoring, Logging and Troubleshooting
This skill assesses the ability to track and diagnose Lambda behavior using AWS tools such as CloudWatch Logs, CloudWatch Metrics, and X-Ray. Candidates are tested on understanding cold starts, invocation metrics, error tracing, and setting up alerts. Strong observability is vital for maintaining system reliability, optimizing performance, and responding quickly to failures in production environments.
Deployment and CI/CD Integration
This skill covers deploying Lambda functions using tools like AWS CLI, SAM, Serverless Framework, and integrating with CI/CD pipelines (e.g., CodePipeline, GitHub Actions). It also includes understanding versioning, aliases, and traffic shifting strategies like blue/green or canary deployments. Automating deployments ensures consistency, reliability, and faster delivery cycles in serverless applications.
Scaling, Concurrency & Performance Tuning
This skill tests knowledge of how Lambda scales under load, the role of concurrency limits, provisioned concurrency, and performance tuning via memory and timeout settings. Candidates must understand how to manage cold starts and handle burst workloads efficiently. Optimizing concurrency and resource settings is critical for achieving performance SLAs while controlling costs.
Error Handling and Retries
This area evaluates handling of failures in Lambda execution. It includes understanding retry policies for different event sources, using DLQs (Dead Letter Queues), and defining fallback mechanisms. Proper error handling ensures resilience in serverless systems and prevents data loss or repeated failures, especially in asynchronous and stream-based architectures.
Cost Optimization
This skill emphasizes understanding the cost model of Lambda—charges based on invocations, duration, and memory—and strategies to reduce costs. It includes identifying redundant invocations, tuning function resources, and leveraging architectural patterns that minimize Lambda execution time. Cost-effective Lambda design directly impacts the scalability and economic viability of serverless solutions.
Lambda Runtime and Language Awareness
This skill area ensures that candidates understand the programming languages supported by Lambda (e.g., Python, Node.js, Java), handler function syntax, and the differences in cold start behavior and packaging across runtimes. Knowing how runtimes affect performance and deployment is essential for choosing the right language and structuring functions effectively.
Use Cases and Architectural Patterns
This area tests the candidate’s ability to design serverless solutions using Lambda in common use cases like web APIs, data pipelines, real-time processing, and IoT. It includes event-driven architecture patterns and best practices. Understanding when and how to use Lambda enables developers to build scalable, maintainable, and cloud-native applications.
Advanced Topics and Troubleshooting
This skill assesses deeper technical knowledge including custom runtimes, Lambda Extensions, sandbox limitations, and diagnosing failed executions. Candidates are tested on identifying issues like permission errors, timeouts, or SDK misconfiguration. Mastery here is key for developers building complex, enterprise-grade serverless solutions that demand deeper customization and reliability.
Serverless Observability and Governance
This skill evaluates knowledge of managing Lambda usage at scale—through tagging, billing visibility, compliance enforcement, and third-party observability tools (like Datadog, New Relic). It also includes access auditability and lifecycle tracking. Governance ensures that Lambda usage aligns with organizational policies, cost controls, and operational maturity standards.
Permissions and Security
This area evaluates how well a candidate understands IAM roles, policies, and security best practices for Lambda functions. It covers assigning execution roles, applying least-privilege principles, and securing environment variables. Proper permission management ensures that Lambda functions interact securely with other AWS services, reducing risk of unauthorized access, privilege escalation, or data leakage in production environments.
AWS Lambda Function Configuration
This skill focuses on setting up key Lambda parameters like memory, timeout, environment variables, runtime, and IAM roles. Proper configuration ensures efficient performance, secure access, and seamless integration with other AWS services.
Use of the AWS Lambda Test
AWS Lambda is a serverless computing service that allows developers to run code without managing servers. It enables running code for virtually any type of application or backend service.
The AWS Lambda assessment evaluates the candidate's expertise in serverless computing, coding, and AWS Lambda concepts. This assessment measures the candidate's ability to develop, deploy, and manage Lambda functions to support scalable, event-driven applications. AWS Lambda is a powerful tool in the hands of an experienced developer, and this test is designed to assess the candidate's ability to build, test, and maintain AWS Lambda functions in a real-world scenario.
The assessment covers sub-skills such as serverless architecture, AWS Lambda concepts, AWS services, coding, and security. It is crucial to evaluate these sub-skills as they are essential to the successful deployment of serverless applications. An ideal candidate should have a clear understanding of serverless computing, AWS Lambda's functionality, and the services that complement it. Additionally, a candidate should be well-versed in coding and demonstrate expertise in the programming languages supported by AWS Lambda. Finally, they should have a good understanding of security and best practices to safeguard their code and data.
The assessment poses multiple-choice questions, scenario-based questions, and coding exercises to the candidates. These questions are designed to test the candidate's comprehension of AWS Lambda concepts, coding skills, and ability to solve problems in a time-constrained environment.
Who is this test for?
AWS Lambda is a cloud-based compute service developed by Amazon Web Services (AWS) that is relevant for businesses and organizations that want to run and scale their applications and services in the cloud without having to manage the underlying infrastructure. It is particularly useful for businesses that require a highly scalable and cost-effective platform for running event-driven applications and services, such as real-time data processing, web and mobile backends, and Internet of Things (IoT) applications. AWS Lambda supports a variety of programming languages, including Python, Node.js, Java, and C#, and integrates with a variety of other AWS services, such as Amazon S3, Amazon DynamoDB, and AWS Step Functions, among others. AWS Lambda provides a variety of features, such as automatic scaling, pay-per-use pricing, and native support for containerization, to help businesses manage their applications and services with ease. AWS Lambda is used by a wide range of organizations, from small startups to large enterprises, and can help them achieve higher agility, scalability, and cost-effectiveness in their application development and deployment process.
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The AWS Lambda Subject Matter Expert
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