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Amazon DVA-C02 Exam Syllabus Topics:

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

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Amazon AWS Certified Developer - Associate Sample Questions (Q102-Q107):

NEW QUESTION # 102
A development team uses AWS CodeBuild as part of a CI/CD pipeline. The project includes hundreds of unit and integration tests, and total build time continues to increase. The team wants faster feedback and lower overall testing duration without managing additional infrastructure.
Which solution will meet these requirements with the LEAST operational overhead?

A. Configure CodeBuild to split tests across multiple parallel compute environments.
B. Configure multiple CodeBuild projects and manually split tests across them.
C. Use Amazon EC2 instances with a custom test runner to distribute tests.
D. Run all tests sequentially in a single CodeBuild environment.

Answer: A

Explanation:
AWS CodeBuild supports parallel test execution through batch builds and multiple compute environments.
This feature allows a single CodeBuild project to divide test workloads across multiple isolated environments that run concurrently. Each environment executes a subset of the test suite, significantly reducing total build time.
AWS documentation emphasizes using native CodeBuild capabilities to minimize operational complexity.
Parallel execution eliminates the need to manually manage infrastructure, test orchestration logic, or EC2 fleets. CodeBuild automatically provisions and terminates build environments, scales as needed, and integrates seamlessly with CI/CD pipelines.
Options A and D require manual coordination and infrastructure management, increasing operational overhead. Option C does not address the performance problem.
Therefore, using CodeBuild's parallel compute environments is the most efficient and AWS-recommended approach.

NEW QUESTION # 103
A developer is creating an application that includes an Amazon API Gateway REST API in the us-east-2 Region. The developer wants to use Amazon CloudFront and a custom domain name for the API. The developer has acquired an SSL/TLS certificate for the domain from a third-party provider.
How should the developer configure the custom domain for the application?

A. Import the SSL/TLS certificate into CloudFront. Create a DNS CNAME record for the custom domain.
B. Import the SSL/TLS certificate into AWS Certificate Manager (ACM) in the same Region as the API. Create a DNS A record for the custom domain.
C. Import the SSL/TLS certificate into AWS Certificate Manager (ACM) in the same Region as the API. Create a DNS CNAME record for the custom domain.
D. Import the SSL/TLS certificate into AWS Certificate Manager (ACM) in the us-east-1 Region. Create a DNS CNAME record for the custom domain.

Answer: A

NEW QUESTION # 104
A developer migrated a legacy application to an AWS Lambda function. The function uses a third-party service to pull data with a series of API calls at the end of each month. The function than processes the data to generate the monthly reports. The function has Been working with no issues so far.
The third-party service recently issued a restriction to allow a feed number to API calls each minute and each day. If the API calls exceed the limit tor each minute or each day, then the service will produce errors. The API also provides the minute limit and daily limit in the response header. This restriction might extend the overall process to multiple days because the process is consuming more API calls than the available limit.
What is the MOST operationally efficient way to refactor the server less application to accommodate this change?

A. Use an AWS Step Functions State machine to monitor API failures. Use the Wait state to delay calling the Lambda function.
B. Use Amazon Kinesis Data Firehose to batch me API calls and deliver them to an Amazon S3 bucket win an event notification to invoke the Lambda function.
C. Use an Amazon CloudWatch Logs metric to count the number of API calls. Configure an Amazon CloudWatch alarm flat slops the currently running instance of the Lambda function when the metric exceeds the API threshold limits.
D. Use an Amazon Simple Queue Service (Amazon SQS) queue to hold the API calls. Configure the Lambda function to poll the queue within the API threshold limits.

Answer: A

Explanation:
The solution that will meet the requirements is to use an AWS Step Functions state machine to monitor API failures. Use the Wait state to delay calling the Lambda function. This way, the developer can refactor the serverless application to accommodate the change in a way that is automated and scalable. The developer can use Step Functions to orchestrate the Lambda function and handle any errors or retries. The developer can also use the Wait state to pause the execution for a specified duration or until a specified timestamp, which can help avoid exceeding the API limits. The other options either involve using additional services that are not necessary or appropriate for this scenario, or do not address the issue of API failures.
Reference: AWS Step Functions Wait state

NEW QUESTION # 105
A company has an application that processes audio files for different departments. When audio files are saved to an Amazon S3 bucket, an AWS Lambda function receives an event notification and processes the audio input.
A developer needs to update the solution so that the application can process the audio files for each department independently. The application must publish the audio file location for each department to each department's existing Amazon Simple Queue Service (Amazon SQS) queue.
Which solution will meet these requirements with no changes to the Lambda function code?

A. Update the Lambda function to write the file location to a single shared SQS queue. Configure the shared SQS queue to send the file reference to each department's SQS queue.
B. Update the Lambda function to send the file location to each department's SQS queue.
C. Configure the S3 bucket to send the event notifications to an Amazon Simple Notification Service (Amazon SNS) topic. Subscribe each department's SQS queue to the SNS topic. Configure subscription filter policies.
D. Configure the S3 bucket to send the event notifications to each department's SQS queue.

Answer: C

NEW QUESTION # 106
A developer needs to set up an API to provide access to an application and its resources. The developer has a TLS certificate. The developer must have the ability to change the default base URL of the API to a custom domain name. The API users are distributed globally. The solution must minimize API latency.

A. Create an Amazon CloudFront distribution that uses an AWS Lambda@Edge function to process API requests. Import the TLS certificate into AWS Certificate Manager and CloudFront. Add the custom domain name as an alias resource record set that is for the CloudFront distribution.
B. Create an Amazon API Gateway REST API. Use the private endpoint type. Import the TLS certificate into AWS Certificate Manager. Create a custom domain name for the REST API. Route traffic to the custom domain name. Disable the default endpoint for the REST API.
C. Create an Amazon CloudFront distribution that uses CloudFront Functions to process API requests.Import the TLS certificate into AWS Certificate Manager and CloudFront. Add the custom domain name as an alias resource record set that is for the CloudFront distribution.
D. Create an Amazon API Gateway REST API. Use the edge-optimized endpoint type. Import the TLS certificate into AWS Certificate Manager. Create a custom domain name for the REST API. Route traffic to the custom domain name. Disable the default endpoint for the REST API.

Answer: D

Explanation:
Comprehensive and Detailed Step-by-Step Explanation:
* Option C: Edge-Optimized API Gateway with Custom Domain Name:
* Edge-Optimized API Gateway: This endpoint type automatically leverages the Amazon CloudFront global distribution network, minimizing latency for API users distributed globally.
* Custom Domain Name: API Gateway supports custom domain names for APIs. Importing the TLS certificate into AWS Certificate Manager (ACM) and associating it with the custom domain name ensures secure connections.
* Disabling the Default Endpoint: Prevents direct access via the default API Gateway URL, enforcing the use of the custom domain name.
* Why Other Options Are Incorrect:
* Option A: While CloudFront can distribute API requests globally, API Gateway with edge- optimized endpoints already provides this functionality natively without requiring Lambda@Edge.
* Option B: Private endpoint types are used for internal access via VPC, which does not meet the global distribution and low-latency requirement.
* Option D: CloudFront Functions are not needed because API Gateway's edge-optimized endpoints handle global distribution efficiently.
References:
* Amazon API Gateway Custom Domain Names
* Amazon API Gateway Endpoint Types

NEW QUESTION # 107
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