Free Practice Questions for AWS Certified Developer - Associate (DVA-C02) Certification

- Skill 1.1.1: Describe architectural patterns (for example, event-driven, microservices, monolithic, choreography, orchestration, fanout) - Skill 1.1.2: Describe differences between stateful and stateless concepts - Skill 1.1.3: Describe differences between tightly coupled and loosely coupled components - Skill 1.1.4: Describe differences between synchronous and asynchronous patterns - Skill 1.1.5: Create fault-tolerant and resilient applications in a programming language (for example, Java, C#, Python, JavaScript, TypeScript, Go) - Skill 1.1.6: Create, extend, and maintain APIs (for example, response/request transformations, enforcing validation rules, overriding status codes) - Skill 1.1.7: Write and run unit tests in development environments (for example, using AWS SAM) - Skill 1.1.8: Write code to use messaging services - Skill 1.1.9: Write code that interacts with AWS services by using APIs and AWS SDKs - Skill 1.1.10: Handle streaming data using AWS services - Skill 1.1.11: Use Amazon Q Developer to assist with development - Skill 1.1.12: Use Amazon EventBridge to implement event-driven patterns - Skill 1.1.13: Implement resilient application code for third-party service integrations (for example, retry logic, circuit breakers, error handling patterns)

- Skill 1.2.1: Describe the access of private resources in VPCs from Lambda code - Skill 1.2.2: Configure Lambda functions by defining environment variables and parameters (for example, memory, concurrency, timeout, runtime, handler, layers, extensions, triggers, destinations) - Skill 1.2.3: Handle the event lifecycle and errors by using code (for example, Lambda Destinations, dead-letter queues) - Skill 1.2.4: Write and run test code by using AWS services and tools - Skill 1.2.5: Integrate Lambda functions with AWS services - Skill 1.2.6: Tune Lambda functions for optimal performance - Skill 1.2.7: Use Lambda functions to process and transform data in near real time

- Skill 1.3.1: Describe high-cardinality partition keys for balanced partition access - Skill 1.3.2: Describe database consistency models (for example, strongly consistent, eventually consistent) - Skill 1.3.3: Describe differences between query and scan operations - Skill 1.3.4: Define Amazon DynamoDB keys and indexing - Skill 1.3.5: Serialize and deserialize data to provide persistence to a data store - Skill 1.3.6: Use, manage, and maintain data stores - Skill 1.3.7: Manage data lifecycles - Skill 1.3.8: Use data caching services - Skill 1.3.9: Use specialized data stores based on access patterns (for example, Amazon OpenSearch Service)

- Skill 2.1.1: Use an identity provider to implement federated access (for example, Amazon Cognito, IAM) - Skill 2.1.2: Secure applications by using bearer tokens - Skill 2.1.3: Configure programmatic access to AWS - Skill 2.1.4: Make authenticated calls to AWS services - Skill 2.1.5: Assume an IAM role - Skill 2.1.6: Define permissions for IAM principals - Skill 2.1.7: Implement application-level authorization for fine-grained access control - Skill 2.1.8: Handle cross-service authentication in microservice architectures

- Skill 2.2.1: Define encryption at rest and in transit - Skill 2.2.2: Describe certificate management (for example, AWS Private CA) - Skill 2.2.3: Describe differences between client-side encryption and server-side encryption - Skill 2.2.4: Use encryption keys to encrypt or decrypt data - Skill 2.2.5: Generate certificates and SSH keys for development purposes - Skill 2.2.6: Use encryption across account boundaries - Skill 2.2.7: Enable and disable key rotation

- Skill 2.3.1: Describe data classification (for example, personally identifiable information [PII], protected health information [PHI]) - Skill 2.3.2: Encrypt environment variables that contain sensitive data - Skill 2.3.3: Use secret management services to secure sensitive data - Skill 2.3.4: Sanitize sensitive data - Skill 2.3.5: Implement application-level data masking and sanitization - Skill 2.3.6: Implement data access patterns for multi-tenant applications

- Skill 3.1.1: Manage the dependencies of the code module (for example, environment variables, configuration files, container images) within the package - Skill 3.1.2: Organize files and a directory structure for application deployment - Skill 3.1.3: Use code repositories in deployment environments - Skill 3.1.4: Apply application requirements for resources (for example, memory, cores) - Skill 3.1.5: Prepare application configurations for specific environments (for example, by using AWS AppConfig)

- Skill 3.2.1: Test deployed code by using AWS services and tools - Skill 3.2.2: Write integration tests and mock APIs for external dependencies - Skill 3.2.3: Test applications by using development endpoints (for example, configuring stages in Amazon API Gateway) - Skill 3.2.4: Deploy application stack updates to existing environments (for example, deploying an AWS SAM template to a different staging environment) - Skill 3.2.5: Test event-driven applications

- Skill 3.3.1: Create application test events (for example, JSON payloads for testing AWS Lambda, API Gateway, AWS SAM resources) - Skill 3.3.2: Deploy API resources to various environments - Skill 3.3.3: Create application environments that use approved versions for integration testing (for example, Lambda aliases, container image tags, AWS Amplify branches, AWS Copilot environments) - Skill 3.3.4: Implement and deploy infrastructure as code (IaC) templates (for example, AWS SAM templates, AWS CloudFormation templates) - Skill 3.3.5: Manage environments in individual AWS services (for example, differentiating between development, test, and production in API Gateway) - Skill 3.3.6: Use Amazon Q Developer to generate automated tests

- Skill 3.4.1: Describe Lambda deployment packaging options - Skill 3.4.2: Describe API Gateway stages and custom domains - Skill 3.4.3: Update existing IaC templates (for example, AWS SAM templates, CloudFormation templates) - Skill 3.4.4: Manage application environments by using AWS services - Skill 3.4.5: Deploy an application version by using deployment strategies - Skill 3.4.6: Commit code to a repository to invoke build, test, and deployment actions - Skill 3.4.7: Use orchestrated workflows to deploy code to different environments - Skill 3.4.8: Perform application rollbacks by using existing deployment strategies - Skill 3.4.9: Use labels and branches for version and release management - Skill 3.4.10: Use existing runtime configurations to create dynamic deployments (for example, using staging variables from API Gateway in Lambda functions) - Skill 3.4.11: Configure deployment strategies (for example, blue/green, canary, rolling) for application releases

- Skill 4.1.1: Debug code to identify defects - Skill 4.1.2: Interpret application metrics, logs, and traces - Skill 4.1.3: Query logs to find relevant data - Skill 4.1.4: Implement custom metrics (for example, Amazon CloudWatch embedded metric format [EMF]) - Skill 4.1.5: Review application health by using dashboards and insights - Skill 4.1.6: Troubleshoot deployment failures by using service output logs - Skill 4.1.7: Debug service integration issues in applications

- Skill 4.2.1: Describe differences between logging, monitoring, and observability - Skill 4.2.2: Implement an effective logging strategy to record application behavior and state - Skill 4.2.3: Implement code that emits custom metrics - Skill 4.2.4: Add annotations for tracing services - Skill 4.2.5: Implement notification alerts for specific actions (for example, notifications about quota limits or deployment completions) - Skill 4.2.6: Implement tracing by using AWS services and tools - Skill 4.2.7: Implement structured logging for application events and user actions - Skill 4.2.8: Configure application health checks and readiness probes

- Skill 4.3.1: Define concurrency - Skill 4.3.2: Profile application performance - Skill 4.3.3: Determine minimum memory and compute power for an application - Skill 4.3.4: Use subscription filter policies to optimize messaging - Skill 4.3.5: Cache content based on request headers - Skill 4.3.6: Implement application-level caching to improve performance - Skill 4.3.7: Optimize application resource usage - Skill 4.3.8: Analyze application performance issues - Skill 4.3.9: Use application logs to identify performance bottlenecks