Exam & Interview Guide

How to Pass Technical Screening Interviews for AWS Certified Developer Associate

A complete step-by-step masterclass on passing AWS DVA-C02 technical screening interviews, AWS Lambda serverless execution, DynamoDB single-table design, and API Gateway integration.

By Careers.codes Cloud Engineering Team | 5 min read

Summary: Master AWS Lambda serverless cold start optimization, DynamoDB single-table design, API Gateway throttling, SQS/SNS microservice decoupling, and AWS SDK development for DVA-C02 interviews.

1. DVA-C02 Exam & Serverless Screening Scope

The AWS Certified Developer – Associate (DVA-C02) certification validates technical competence in writing, deploying, securing, and debugging serverless applications on AWS. 1. **Development with AWS Services (32% Weighting):** Writing code using AWS SDKs, interaction with S3, DynamoDB, SQS, SNS, Kinesis, Secrets Manager. 2. **Security (26% Weighting):** IAM roles, policies, KMS encryption, API Gateway authentication (Cognito / IAM authorizers), Environment variable encryption. 3. **Deployment (24% Weighting):** Serverless Application Model (SAM), CloudFormation, CodeCommit, CodeBuild, CodeDeploy, CodePipeline CI/CD. 4. **Troubleshooting & Optimization (18% Weighting):** AWS X-Ray distributed tracing, CloudWatch Logs, Lambda concurrency tuning, DynamoDB read/write capacity units.

2. AWS Lambda Cold Starts & Execution Context Optimization

**Interview Scenario:** *"How do you minimize Lambda Cold Start latency in high-performance API endpoints?"* * **Execution Context Reuse:** Initialize DB connections, AWS SDK clients, and global variables OUTSIDE the Lambda `handler()` function so they persist across container invocations. * **Provisioned Concurrency:** Allocate provisioned concurrency for critical API endpoints to keep pre-initialized execution environments always warm. * **VPC ENI Cold Start Reduction:** Avoid placing Lambda functions inside a VPC unless direct access to RDS / ElastiCache in private subnets is strictly required. * **Package Optimization:** Use lightweight runtimes (Node.js/Python over Java) and bundle only required dependencies using Webpack/esbuild.

3. DynamoDB Single-Table Design & Global Secondary Indexes

**Interview Scenario:** *"Explain the principles of DynamoDB Single-Table Design and how overloaded GSIs work."* * **Single-Table Design Concept:** Store multiple entity types (Users, Orders, Items) in a single DynamoDB table using generic Partition Keys (`PK`) and Sort Keys (`SK`) (e.g. `PK: USER#123`, `SK: ORDER#456`). * **Overloaded GSI:** Reuse a single Global Secondary Index across different entity access patterns by mapping different attributes to `GSI1-PK` and `GSI1-SK`. * **Avoiding Full Scans:** Always use `Query` or `GetItem` APIs instead of `Scan`. Use Projection Expressions to retrieve only required fields, saving Read Capacity Units (RCUs).

4. API Gateway Integration, CORS & Throttling Limits

**Interview Scenario:** *"How do you configure API Gateway to prevent downstream backend overload during traffic spikes?"* * **Throttling & Rate Limiting:** Configure Token Bucket algorithm settings at the API Stage level: - **Rate Limit:** Average requests per second allowed (e.g., 2,000 req/sec). - **Burst Limit:** Maximum concurrent burst capacity (e.g., 5,000 requests). * **CORS Header Configuration:** Ensure API Gateway returns `Access-Control-Allow-Origin`, `Access-Control-Allow-Methods`, and `Access-Control-Allow-Headers` on HTTP OPTIONS preflight requests. * **Payload Caching:** Enable API Gateway Caching to serve responses directly from memory for identical GET requests, lowering backend Lambda invocations.

5. Decoupling Microservices: SQS vs SNS vs EventBridge

**Interview Scenario:** *"Compare Amazon SQS, Amazon SNS, and Amazon EventBridge for asynchronous microservice communication."* * **Amazon SQS (Simple Queue Service):** Point-to-point message queuing. **Pull-based** model. Supports Standard (high throughput) and FIFO (guaranteed message ordering & deduplication) queues. * **Amazon SNS (Simple Notification Service):** Pub/Sub topic broadcasting. **Push-based** model. Fan-out architecture pushing a single event to multiple SQS queues, HTTP endpoints, or email/SMS. * **Amazon EventBridge:** Serverless event bus with content-based filtering rules, schema registry, and native integration with 200+ AWS services and 3rd party SaaS tools.