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Amazon DVA-C02 Exam Syllabus Topics:

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

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Amazon AWS Certified Developer - Associate Sample Questions (Q17-Q22):

NEW QUESTION # 17
Users of a web-based music application are experiencing latency issues on one of the application's most popular pages. A developer identifies that the issue is caused by the slow load time of specific widgets that are used to rank and sort various songs and albums.
The developer need to ensure that the widgets load more quickly by using built-in in-memory ranking and sorting techniques. The developer must ensure that the data remains up to date.
Which solution will meet these requirements with the LEAST latency?

A. Provision an Amazon ElastiCache (Memcached) cluster. Implement a lazy-loading caching strategy.
B. Provision an Amazon ElastiCache (Redis OSS) cluster. Implement a write-through caching strategy.
C. Provision an Amazon ElastiCache (Memcached) cluster. Implement a write-through caching strategy.
D. Provision an Amazon ElastiCache (Redis OSS) cluster. Implement a lazy-loading caching strategy.

Answer: B

Explanation:
ElastiCache for Redis OSS is the best fit because Redis supports sorted sets, which are built specifically for real-time ranking and sorting use cases such as leaderboards. AWS documentation highlights Redis sorted sets for moving ranking complexity into the in-memory cache itself, which gives the lowest latency for these widgets. A write-through strategy keeps the cache updated as the application writes data, so the ranked and sorted results stay current instead of waiting for a cache miss to refresh them.

NEW QUESTION # 18
A developer is using AWS Elastic Beanstalk to deploy an application. The application must be able to access API keys from a third-party service. Currently, the company stores the credentials to access the third-party service in the code bundle. The company must redeploy the code bundle when the credentials rotate. The developer wants to improve security and avoid redeployments. Which solution will meet these requirements with the LEAST operational overhead?

A. Use AWS KMS to encrypt the credentials locally. Configure Elastic Beanstalk to decrypt the credentials on startup.
B. Store the credentials in an Amazon S3 bucket. Configure server-side encryption with Amazon S3 managed keys (SSE-S3). Fetch the credentials at runtime.
C. Store the credentials as SecureString parameters in AWS Systems Manager Parameter Store. Reference the credentials in Elastic Beanstalk environment variables.
D. Continue to store the credentials in an encrypted file within the application bundle.

Answer: C

Explanation:
The standard best practice for Elastic Beanstalk is to externalize configuration using Environment Variables.
By storing sensitive API keys in SSM Parameter Store as a SecureString , you gain encryption and rotation capabilities. You then reference the parameter in the Elastic Beanstalk environment. The application can retrieve the value at runtime, and if the key is updated in Parameter Store, the application can pick up the change without needing a full code redeployment.

NEW QUESTION # 19
A company has an application that is based on Amazon EC2. The company provides API access to the application through Amazon API Gateway and uses Amazon DynamoDB to store the application's data. A developer is investigating performance issues that are affecting the application. During peak usage, the application is overwhelmed by a large number of identical data read requests that come through APIs. What is the MOST operationally efficient way for the developer to improve the application's performance?

A. Configure Amazon EC2 Auto Scaling policies to meet fluctuating demand.
B. Use DynamoDB Accelerator (DAX) to cache database responses.
C. Enable API Gateway caching to cache API responses.
D. Use Amazon ElastiCache to cache application responses.

Answer: B

Explanation:
DynamoDB Accelerator (DAX) provides a managed caching layer specifically optimized for DynamoDB, reducing latency for repeated read requests.
Purpose-Built: DAX is designed for DynamoDB, enabling sub-millisecond response times for frequently accessed items.
Operational Efficiency: No need for additional application-level caching logic.

NEW QUESTION # 20
A company maintains a REST service using Amazon API Gateway and the API Gateway native API key validation. The company recently launched a new registration page, which allows users to sign up for the service. The registration page creates a new API key using CreateApiKey and sends the new key to the user. When the user attempts to call the API using this key. the user receives a 403 Forbidden error. Existing users are unaffected and can still call the API.
What code updates will grant these new users access to the API?

A. The createDeploymer.t method must be called so the API can be redeployed to include the newly created API key.
B. The createUsagePlanKey method must be called to associate the newly created API key with the correct usage plan.
C. The importApiKeys method must be called to import all newly created API keys into the current stage of the API.
D. The updateAuthorizer method must be called to update the API's authorizer to include the newly created API key

Answer: B

NEW QUESTION # 21
A developer has built an application that inserts data into an Amazon DynamoDB table. The table is configured to use provisioned capacity. The application is deployed on a burstable nano Amazon EC2 instance. The application logs show that the application has been failing because of a ProvisionedThroughputExceededException error.
Which actions should the developer take to resolve this issue? (Select TWO.)

A. Reduce the frequency of requests to DynamoDB by implementing exponential backoff.
B. Change the capacity mode of the DynamoDB table from provisioned to on-demand.
C. Increase the frequency of requests to DynamoDB by decreasing the retry delay.
D. Increase the number of read capacity units (RCUs) that are provisioned for the DynamoDB table.
E. Move the application to a larger EC2 instance.

Answer: A,D

Explanation:
Requirement Summary:
* DynamoDBProvisioned Mode
* ProvisionedThroughputExceededException error occurring
* App hosted on a smallburstable EC2 instance
Option A: Move to a larger EC2 instance
* #May improve local performance, butdoes not solve DynamoDB provisioned throughputlimits.
Option B: Increase DynamoDB RCUs
* #Valid: This directly increases theread throughputcapacity of the table.
* Helps handle more traffic andreduce throughput exceptions.
Option C: Reduce frequency via exponential backoff
* #Best practice: Usingexponential backoffandjitterreduces request pressure andspreads retriesout to avoid spiking.
Option D: Increase frequency of retries by reducing delay
* #Opposite of best practice. Increases load, worsening the issue.
Option E: Change to on-demand mode
* #Also validin general, but question is scoped around provisioned capacity.
* Sinceminimizing cost or workload typeisn't mentioned, andscaling the existing modelis the focus, prefer B and C.
* ProvisionedThroughputExceededException:https://docs.aws.amazon.com/amazondynamodb/latest
/developerguide/HandlingErrors.html
* Exponential backoff:https://docs.aws.amazon.com/amazondynamodb/latest/developerguide
/Programming.Errors.html
* Capacity modes:https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/HowItWorks.
ReadWriteCapacityMode.html

NEW QUESTION # 22
......

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