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Amazon DVA-C02 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Deployment	24%	- Prepare application artifacts to be deployed to AWS 1. AWS CloudFormation 2. AWS SAM 3. AWS CDK 4. Docker containers 5. Lambda deployment packages - Automate deployment testing 1. AWS CodeCommit 2. AWS CodeBuild 3. AWS CodePipeline 4. AWS CodeDeploy - Test applications in development environments 1. Mocking AWS services 2. AWS SAM local 3. Local testing of Lambda functions - Deploy code by using AWS CI/CD services 1. Rolling deployments 2. GitHub integration 3. AWS CodeCommit 4. AWS CodeBuild 5. AWS CodePipeline 6. Blue/green deployments 7. AWS CodeDeploy 8. Canary deployments
Topic 2: Security	26%	- Manage sensitive data in application code 1. Environment variables 2. AWS Secrets Manager 3. Encryption of data at rest and in transit 4. AWS Systems Manager Parameter Store - Implement authentication and/or authorization for applications and AWS services 1. Resource-based policies, service policies, and principal policies 2. Role-based access control (RBAC) 3. Identity federation (SAML, OpenID Connect, Amazon Cognito) 4. User pools and identity pools in Amazon Cognito 5. Bearer tokens (JWT, OAuth, AWS STS) - Implement encryption by using AWS services 1. AWS Secrets Manager 2. Amazon S3 encryption 3. AWS KMS 4. AWS Certificate Manager 5. AWS CloudHSM
Topic 3: Development with AWS Services	32%	- Use data stores in application development 1. Amazon RDS 2. Amazon EFS 3. Amazon S3 4. Amazon DynamoDB 5. Amazon ElastiCache - Develop code for applications hosted on AWS 1. AWS CloudFormation 2. AWS CLI 3. Amazon S3 4. Amazon DynamoDB 5. Amazon API Gateway 6. Amazon Cognito 7. Amazon SNS 8. AWS SDKs 9. AWS Lambda 10. Amazon SQS - Develop code for AWS serverless applications 1. AWS AppSync 2. Amazon EventBridge 3. Amazon API Gateway 4. AWS Step Functions
Topic 4: Troubleshooting and Optimization	18%	- Assist in a root cause analysis 1. AWS CloudTrail 2. Error handling and retries 3. AWS X-Ray 4. Application logging 5. Amazon CloudWatch Logs - Optimize applications by using AWS services and features 1. Data storage optimization 2. Concurrency and throttling 3. Memory and compute optimization 4. Caching strategies (ElastiCache, CloudFront) 5. Cost optimization - Instrument code for observability 1. Amazon CloudWatch metrics 2. AWS X-Ray 3. Amazon CloudWatch alarms 4. Custom metrics 5. Structured logging

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Amazon AWS Certified Developer - Associate Sample Questions (Q260-Q265):

NEW QUESTION # 260
A developer is designing a full-stack serverless application. Files for the website are stored in an Amazon S3 bucket. AWS Lambda functions that use Amazon API Gateway endpoints return results from an Amazon DynamoDB table.
The developer must create a solution that securely provides registration and authentication for the application while minimizing the amount of configuration.
Which solution meets these requirements?

A. Create an IAM policy that allows access to the website that is stored in the S3 bucket. Attach the policy to an IAM group. Add IAM users to the group.
B. Configure and launch an Amazon EC2 instance to set up an identity provider with an Amazon Cognito user pool. Configure the user pool to provide the hosted web UI for sign-up and sign-in.
C. Configure an Amazon Cognito identity pool. Map the users with IAM roles that are configured to access the S3 bucket that stores the website.
D. Create an Amazon Cognito user pool and an app client. Configure the app client to use the user pool and provide the hosted web UI provided for sign-up and sign-in.

Answer: D

Explanation:
An Amazon Cognito user pool provides a fully managed user directory with built-in registration and authentication. Creating a user pool with an app client and using the hosted UI offers the quickest, lowest-configuration way to add secure sign-up and sign-in to a serverless web application without building or operating custom identity infrastructure.

NEW QUESTION # 261
A developer created an AWS Lambda function that performs a series of operations that involve multiple AWS services. The function's duration time is higher than normal. To determine the cause of the issue, the developer must investigate traffic between the services without changing the function code Which solution will meet these requirements?

A. Review the AWS Config logs in Amazon Cloud Watch.
B. Review the Amazon CloudWatch logs that are associated with the Lambda function.
C. Enable AWS X-Ray active tracing in the Lambda function Review the logs in X-Ray
D. Configure AWS CloudTrail View the trail logs that are associated with the Lambda function.

Answer: C

Explanation:
* Tracing Distributed Systems: AWS X-Ray is designed to trace requests across services, helping identify bottlenecks in distributed applications like this one.
* No Code Changes: Enabling X-Ray tracing often requires minimal code changes, meeting the requirement.
* Identifying Bottlenecks: Analyzing X-Ray traces and logs will reveal latency in communications between different AWS services, leading to the high duration time.

NEW QUESTION # 262
A developer is working on an existing application that uses Amazon DynamoDB as its data store.
The DynamoDB table has the following attributes: partNumber (partition key), vendor (sort key), description, productFamily, and productType. When the developer analyzes the usage patterns, the developer notices that there are application modules that frequently look for a list of products based on the productFamily and productType attributes.
The developer wants to make changes to the application to improve performance of the query operations.
Which solution will meet these requirements?

A. Create a local secondary index (LSI) with productFamily as the partition key and productType as the sort key.
B. Create a global secondary index (GSI) with productFamily as the partition key and productType as the sort key.
C. Recreate the table. Add partNumber as the partition key and vendor as the sort key. During table creation, add a local secondary index (LSI) with productFamily as the partition key and productType as the sort key.
D. Update the queries to use Scan operations with productFamily as the partition key and productType as the sort key.

Answer: B

Explanation:
Create a Global Secondary Index (GSI): The developer should create a new GSI on the DynamoDB table with the productFamily attribute as the partition key and the productType attribute as the sort key. This will allow the application to perform fast queries on these attributes without scanning the entire table.

NEW QUESTION # 263
An application that is running on Amazon EC2 instances stores data in an Amazon S3 bucket. All the data must be encrypted in transit.
How can a developer ensure that all traffic to the S3 bucket is encrypted?

A. Install certificates on the EC2 instances.
B. Create an S3 bucket policy that denies traffic when the value for the aws:SecureTransport condition key is false.
C. Configure the S3 bucket with server-side encryption with AWS KMS managed encryption keys (SSE-KMS).
D. Create a private VPC endpoint.

Answer: B

NEW QUESTION # 264
A company has three AWS Lambda functions written in Node.js. The Lambda functions include a mix of custom code and open source modules. When bugs are occasionally detected in the open source modules, all three Lambda functions must be patched.
What is the MOST operationally efficient solution to deploy a patched open source library for all three Lambda functions?

A. Launch an Amazon EC2 instance. Host a private open source module registry on the EC2 instance.
Upload the modified open source modules to the private registry when needed. Modify each Lambda function deployment script to download the modules from the private registry. Redeploy the three Lambda functions.
B. Create an Amazon CloudFront distribution with an Amazon S3 bucket as the origin. Upload the patched modules to Amazon S3 when needed. Modify each Lambda function to download the patched modules from the CloudFront distribution during cold starts.
C. Create a custom AWS CloudFormation public registry extension. Reference a GitHub repository that hosts the open source modules in the extension. Configure CloudFormation to scan the repository once each day. Write an AWS SAM template to redeploy the three Lambda functions upon a scan notification change.
D. Create a Lambda layer with the open source modules. Modify all three Lambda functions to use the layer. Remove the open source modules from each Lambda function. Patch the Lambda layer with the modified open source modules when needed. Update the Lambda functions to reference the new layer version.

Answer: D

Explanation:
Comprehensive and Detailed 250 to 300 words of Explanation (AWS-doc-aligned):
The most operationally efficient way to share and patch common dependencies across multiple Lambda functions is to use AWS Lambda layers. A Lambda layer is an independently managed deployment artifact that can contain libraries and other dependencies. Multiple functions can reference the same layer, which avoids packaging identical open source modules into each function bundle.
When a vulnerability or bug is found in a shared module, you patch it once by publishing a new layer version that contains the updated dependencies. Then you update each Lambda function configuration to reference the new layer version. This centralizes dependency management, reduces duplicated artifacts, and makes rollouts and rollbacks cleaner (you can switch layer versions quickly). It also keeps function deployment packages smaller, which often improves deployment speed and can reduce cold-start overhead associated with larger bundles.
The other options introduce unnecessary operational burden:
* Downloading modules at cold start (CloudFront/S3) increases latency and adds failure modes at runtime.
* Hosting a private registry on EC2 requires patching, scaling, availability management, and security hardening-high operational overhead.
* A CloudFormation registry extension and daily scans are not a standard or efficient mechanism for packaging runtime Node.js dependencies into Lambda functions.
Lambda layers are a documented AWS-native feature intended for precisely this use case: sharing common code and libraries across functions while enabling controlled versioning. Therefore, creating a layer for the open source modules and updating the functions to consume the layer is the most efficient and maintainable approach.

NEW QUESTION # 265
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