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Amazon DVA-C02 Exam Syllabus Topics:

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

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Amazon AWS Certified Developer - Associate Sample Questions (Q233-Q238):

NEW QUESTION # 233
A company is expanding the compatibility of its photo-sharing mobile app to hundreds of additional devices with unique screen dimensions and resolutions. Photos are stored in Amazon S3 in their original format and resolution. The company uses an Amazon CloudFront distribution to serve the photos. The app includes the dimension and resolution of the display as GET parameters with every request.
A developer needs to implement a solution that optimizes the photos that are served to each device to reduce load time and increase photo quality.
Which solution will meet these requirements MOST cost-effectively?

A. Use S3 Batch Operations to invoke an AWS Lambda function to create new variants of the photos with the required dimensions and resolutions. Create a Lambda@Edge function to route requests to the corresponding photo variant by using request headers.
B. Create a Lambda@Edge function that optimizes the photos upon request and returns the photos as a response. Change the CloudFront TTL cache policy to the maximum value possible.
C. Create a Lambda@Edge function that optimizes the photos upon request and returns the photos as a response. In the same function, store a copy of the processed photos on Amazon S3 for subsequent requests.
D. Use S3 Batch Operations to invoke an AWS Lambda function to create new variants of the photos with the required dimensions and resolutions. Create a dynamic CloudFront origin that automatically maps the request of each device to the corresponding photo variant.

Answer: C

Explanation:
https://aws.amazon.com/blogs/networking-and-content-delivery/resizing-images-with-amazon- cloudfront-lambdaedge-aws-cdn-blog/

NEW QUESTION # 234
A developer supports an application that accesses data in an Amazon DynamoDB table. One of the item attributes is expirationDate in the timestamp format. The application uses this attribute to find items, archive them, and remove them from the table based on the timestamp value The application will be decommissioned soon, and the developer must find another way to implement this functionality. The developer needs a solution that will require the least amount of code to write.
Which solution will meet these requirements?

A. Create two AWS Lambda functions one to delete the items and one to process the items Create a DynamoDB stream Use the Deleteltem API operation to delete the items based on the expirationDate attribute Use the GetRecords API operation to get the items from the DynamoDB stream and process them
B. Create two AWS Lambda functions, one to delete the items and one to process the items. Create an Amazon EventBndge scheduled rule to invoke the Lambda Functions Use the Deleteltem API operation to delete the items based on the expirationDate attribute. Use the GetRecords API operation to get the items from the DynamoDB table and process them.
C. Enable TTL on the expirationDate attribute in the table. Create a DynamoDB stream. Create an AWS Lambda function to process the deleted items. Create a DynamoDB trigger for the Lambda function.
D. Enable TTL on the expirationDate attribute in the table Specify an Amazon Simple Queue Service (Amazon SQS> dead-letter queue as the target to delete the items Create an AWS Lambda function to process the items

Answer: C

Explanation:
TTL for Automatic Deletion: DynamoDB's Time-to-Live effortlessly deletes expired items without manual intervention.
DynamoDB Stream: Captures changes to the table, including deletions of expired items, triggering downstream actions.
Lambda for Processing: A Lambda function connected to the stream provides custom logic for handling the deleted items.
Code Efficiency: This solution leverages native DynamoDB features and stream-based processing, minimizing the need for custom code.
Reference:
DynamoDB TTL Documentation: https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/TTL.html DynamoDB Streams Documentation: https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/Streams.html

NEW QUESTION # 235
A developer is working on a serverless application that needs to process any changes to an Amazon DynamoDB table with an AWS Lambda function.
How should the developer configure the Lambda function to detect changes to the DynamoDB table?

A. Create an Amazon Kinesis data stream, and attach it to the DynamoDB table. Create a trigger to connect the data stream to the Lambda function.
B. Create an Amazon Kinesis Data Firehose delivery stream, and attach it to the DynamoDB table. Configure the delivery stream destination as the Lambda function.
C. Create an Amazon EventBridge rule to invoke the Lambda function on a regular schedule. Conned to the DynamoDB table from the Lambda function to detect changes.
D. Enable DynamoDB Streams on the table. Create a trigger to connect the DynamoDB stream to the Lambda function.

Answer: D

Explanation:
Amazon DynamoDB is a fully managed NoSQL database service that provides fast and consistent performance with seamless scalability. DynamoDB Streams is a feature that captures data modification events in DynamoDB tables. The developer can enable DynamoDB Streams on the table and create a trigger to connect the DynamoDB stream to the Lambda function. This solution will enable the Lambda function to detect changes to the DynamoDB table in near real time.
Reference:
[Amazon DynamoDB]
[DynamoDB Streams - Amazon DynamoDB]
[Using AWS Lambda with Amazon DynamoDB - AWS Lambda]

NEW QUESTION # 236
A developer needs to migrate an online retail application to AWS to handle an anticipated increase in traffic. The application currently runs on two servers: one server for the web application and another server for the database. The web server renders webpages and manages session state in memory. The database server hosts a MySQL database that contains order details. When traffic to the application is heavy, the memory usage for the web server approaches 100% and the application slows down considerably.
The developer has found that most of the memory increase and performance decrease is related to the load of managing additional user sessions. For the web server migration, the developer will use Amazon EC2 instances with an Auto Scaling group behind an Application Load Balancer.
Which additional set of changes should the developer make to the application to improve the application's performance?

A. Use Amazon ElastiCache for Memcached to store and manage the session data and the application data.
B. Use an EC2 instance to host the MySQL database. Store the session data and the application data in the MySQL database.
C. Use Amazon ElastiCache for Memcached to store and manage the session data. Use an Amazon RDS for MySQL DB instance to store the application data.
D. Use the EC2 instance store to manage the session data. Use an Amazon RDS for MySQL DB instance to store the application data.

Answer: B

NEW QUESTION # 237
A developer has written the following IAM policy to provide access to an Amazon S3 bucket:

Which access does the policy allow regarding the s3:GetObject and s3:PutObject actions?

A. Access on all objects in the "DOC-EXAMPLE-BUCKET" bucket along with access to all S3 actions for objects in the "DOC-EXAMPLE-BUCKET" bucket that start with "secrets"
B. Access on all objects in the "DOC-EXAMPLE-BUCKET" bucket except on objects that start with
"secrets"
C. Access on all buckets that start with "DOC-EXAMPLE-BUCKET" except the "DOC-EXAMPLE- BUCKET/secrets" bucket
D. Access on all buckets except the "DOC-EXAMPLE-BUCKET" bucket

Answer: B

Explanation:
https://aws.amazon.com/blogs/security/iam-policies-and-bucket-policies-and-acls-oh-my- controlling-access-to-s3-resources/

NEW QUESTION # 238
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