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Amazon DVA-C02 Exam Syllabus Topics:

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

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Amazon AWS Certified Developer - Associate Sample Questions (Q492-Q497):

NEW QUESTION # 492
A company needs to package and deploy an application that uses AWS Lambda to compress and decompress video clips. The application uses a video codec library that is larger than 250 MB. The application uses the library to compress the videos before storage and to decompress the videos upon retrieval.

A. Create two Lambda functions. Upload one zip file that contains code to handle video compression to one function. Upload a second zip file that contains code for video decompression to the second function. Include the codec library in both zip files.
B. Create one Lambda function. Upload one zip file that contains code to handle video compression and decompression to the function. Include the codec library in the zip file.
C. Create two Lambda functions. Upload one zip file that contains code to handle video compression to one function. Upload a second zip file that contains code for video decompression to the second function. Create one Lambda layer for the codec library. Add the layer to both functions.
D. Create two Lambda functions. Build one container image that contains code to handle video compression and a second image that contains video decompression code. Add the codec library to both images. Upload the images to Amazon ECR. Use the containers to create the Lambda functions.

Answer: D

Explanation:
Comprehensive and Detailed Step-by-Step
Option D: Use Lambda with Container Images
AWS Lambda supports container images up to 10 GB in size, making it suitable for applications with large dependencies, such as a video codec library larger than 250 MB.
By creating separate container images for video compression and decompression, the application can efficiently isolate functionality while ensuring that each function includes the required dependencies.
The container images are stored in Amazon ECR and used to create the Lambda functions.
Why Other Options Are Incorrect:
Option A: A single Lambda function with all functionalities and dependencies in one zip file is not feasible due to the 250 MB deployment package size limit for zip files.
Option B: Including the library in two separate zip files still exceeds the size limit for Lambda zip deployment packages.
Option C: While using a Lambda layer can reduce redundancy, the combined size of the layer and the zip files would exceed the limit of 250 MB.
Reference:
Using Container Images with AWS Lambda

NEW QUESTION # 493
A developer is using an AWS CloudFormation template to create a pipeline in AWS CodePipeline. The template creates an Amazon S3 bucket that the pipeline references in a source stage. The template also creates an AWS CodeBuild project for a build stage. The pipeline sends notifications to an Amazon SNS topic. Logs for the CodeBuild project are stored in Amazon CloudWatch Logs.
The company needs to ensure that the pipeline's artifacts are encrypted with an existing customer-managed AWS KMS key. The developer has granted the pipeline permissions to use the KMS key.
Which additional step will meet these requirements?

A. In the CloudFormation template, use the KMS key to encrypt the logs in CloudWatch Logs.
B. Create an Amazon S3 gateway endpoint that the pipeline can access.
C. Apply an S3 bucket policy that ensures the pipeline sends only encrypted objects to the S3 bucket.
D. Configure the notification topic to use the existing KMS key to enable encryption with the existing KMS key.

Answer: C

Explanation:
Comprehensive Detailed Explanation with all AWS References
* Why Option C is Correct:Ensuring that pipeline artifacts are encrypted with a customer-managed AWS KMS key involves configuring the S3 bucket policy to require encryption. This policy ensures all objects uploaded to the bucket are encrypted with the specified KMS key.
* Why Other Options are Incorrect:
* Option A: A gateway endpoint improves S3 access efficiency but does not enforce encryption.
* Option B: Encrypting CloudWatch Logs is unrelated to securing pipeline artifacts.
* Option D: Configuring SNS for encryption does not affect the artifacts stored in the S3 bucket.
* AWS Documentation References:
* Using Server-Side Encryption with S3 Bucket Policies

NEW QUESTION # 494
A social media company has an application that adds animation to images that users upload. The animation process currently takes an average of 3 seconds to add animation to each image.
Users can upload up to 30 images at the same time.
A developer needs to optimize the application to process up to 30 images within 5 seconds total.
Which solution will meet these requirements?

A. Create an AWS Step Functions state machine that has an Express workflow type. Create an AWS Lambda function to process each image. Configure the state machine to handle multiple image uploads by running the Lambda function for each image simultaneously in a Map state.
B. Create an AWS Step Functions state machine that has a Standard workflow type. Create a Step Functions activity to process each image. Configure the state machine to process multiple image uploads by running the processing activity on each image in a Parallel state.
C. Create an AWS Step Functions state machine that has a Standard workflow type. Create an AWS Lambda function to process each image. Configure the state machine to handle multiple image uploads by running the Lambda function for each image simultaneously in a Parallel state.
D. Create an AWS Step Functions state machine that has an Express workflow type. Create a Step Functions activity to process each image. Configure the state machine to handle multiple image uploads by running the activity for each image simultaneously in a Map state.

Answer: A

Explanation:
An Express Step Functions workflow is optimized for high-throughput, short-duration tasks. Using a Map state with a Lambda function to process each image in parallel enables concurrent execution, allowing up to 30 images to be processed within 5 seconds. This solution is ideal for the performance requirements and provides scalability with minimal overhead.

NEW QUESTION # 495
A developer is building an application to process a stream of customer orders. The application sends processed orders to an Amazon Aurora MySQL database. The application needs to process the orders in batches.
The developer needs to configure a workflow that ensures each record is processed before the application sends each order to the database.
Which solution meets these requirements?

A. Use Amazon SQS to stream the orders. Use an AWS Lambda function to process the orders.
Configure an event source mapping for the Lambda function, and set the
MaximumBatchingWindowInSeconds setting to 0.
B. Use Amazon DynamoDB Streams to stream the orders. Use an Amazon ECS cluster on AWS Fargate to process the orders. Configure an event source mapping for the cluster, and set the BatchSize setting to 1.
C. Use Amazon Managed Streaming for Apache Kafka (Amazon MSK) to stream the orders. Use an Amazon EC2 instance to process the orders. Configure an event source mapping for the EC2 instance, and increase the payload size limit to 36 MB.
D. Use Amazon Kinesis Data Streams to stream the orders. Use an AWS Lambda function to process the orders. Configure an event source mapping for the Lambda function, and set the MaximumBatchingWindowInSeconds setting to 300.

Answer: D

Explanation:
Amazon Kinesis Data Streams supports ordered and batched data processing. By using a Lambda function with event source mapping and setting MaximumBatchingWindowInSeconds, the developer can batch records over a time window (up to 300 seconds) before sending them to the Aurora MySQL database. This meets the requirement for batch processing and ensures each record is processed before being sent, with low operational overhead.

NEW QUESTION # 496
A developer is designing a serverless application for a game in which users register and log in through a web browser. The application makes requests on behalf of users to a set of AWS Lambda functions that run behind an Amazon API Gateway HTTP API.
The developer needs to implement a solution to register and log in users on the application's sign-in page. The solution must minimize operational overhead and must minimize ongoing management of user identities.
Which solution will meet these requirements?

A. Create Amazon Cognito user pools for external social identity providers. Configure IAM roles for the identity pools.
B. Configure the sign-in page to register and store the users and their passwords in an Amazon DynamoDB table with an attached IAM policy.
C. Program the sign-in page to create users' IAM groups with the IAM roles attached to the groups.
D. Create an Amazon RDS for SQL Server DB instance to store the users and manage the permissions to the backend resources in AWS.

Answer: D

NEW QUESTION # 497
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