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Amazon DVA-C02 Exam Syllabus Topics:

SectionWeightObjectives
Security26%- Manage sensitive data in application code
  • 1. Encryption of data at rest and in transit
  • 2. AWS Systems Manager Parameter Store
  • 3. AWS Secrets Manager
  • 4. Environment variables
- Implement authentication and/or authorization for applications and AWS services
  • 1. User pools and identity pools in Amazon Cognito
  • 2. Role-based access control (RBAC)
  • 3. Bearer tokens (JWT, OAuth, AWS STS)
  • 4. Identity federation (SAML, OpenID Connect, Amazon Cognito)
  • 5. Resource-based policies, service policies, and principal policies
- Implement encryption by using AWS services
  • 1. Amazon S3 encryption
  • 2. AWS Certificate Manager
  • 3. AWS KMS
  • 4. AWS Secrets Manager
  • 5. AWS CloudHSM
Development with AWS Services32%- Develop code for applications hosted on AWS
  • 1. AWS SDKs
  • 2. Amazon DynamoDB
  • 3. Amazon Cognito
  • 4. Amazon API Gateway
  • 5. AWS CloudFormation
  • 6. AWS Lambda
  • 7. Amazon S3
  • 8. AWS CLI
  • 9. Amazon SNS
  • 10. Amazon SQS
- Use data stores in application development
  • 1. Amazon ElastiCache
  • 2. Amazon DynamoDB
  • 3. Amazon RDS
  • 4. Amazon S3
  • 5. Amazon EFS
- Develop code for AWS serverless applications
  • 1. AWS AppSync
  • 2. Amazon EventBridge
  • 3. Amazon API Gateway
  • 4. AWS Step Functions
Troubleshooting and Optimization18%- Optimize applications by using AWS services and features
  • 1. Cost optimization
  • 2. Concurrency and throttling
  • 3. Data storage optimization
  • 4. Caching strategies (ElastiCache, CloudFront)
  • 5. Memory and compute optimization
- Instrument code for observability
  • 1. Custom metrics
  • 2. Amazon CloudWatch alarms
  • 3. Structured logging
  • 4. AWS X-Ray
  • 5. Amazon CloudWatch metrics
- Assist in a root cause analysis
  • 1. Application logging
  • 2. Error handling and retries
  • 3. AWS CloudTrail
  • 4. Amazon CloudWatch Logs
  • 5. AWS X-Ray
Deployment24%- Test applications in development environments
  • 1. Mocking AWS services
  • 2. Local testing of Lambda functions
  • 3. AWS SAM local
- Prepare application artifacts to be deployed to AWS
  • 1. AWS CDK
  • 2. AWS SAM
  • 3. Lambda deployment packages
  • 4. AWS CloudFormation
  • 5. Docker containers
- Deploy code by using AWS CI/CD services
  • 1. GitHub integration
  • 2. Rolling deployments
  • 3. Blue/green deployments
  • 4. AWS CodeCommit
  • 5. AWS CodePipeline
  • 6. AWS CodeBuild
  • 7. Canary deployments
  • 8. AWS CodeDeploy
- Automate deployment testing
  • 1. AWS CodeCommit
  • 2. AWS CodePipeline
  • 3. AWS CodeBuild
  • 4. AWS CodeDeploy

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Amazon AWS Certified Developer - Associate Sample Questions (Q326-Q331):

NEW QUESTION # 326
A company has a critical application on AWS. The application exposes an HTTP API by using Amazon API Gateway. The API is integrated with an AWS Lambda function. The application stores data in an Amazon RDS for MySQL DB instance with 2 virtual CPUs (vCPUs) and 64 GB of RAM.
Customers have reported that some of the API calls return HTTP 500 Internal Server Error responses. Amazon CloudWatch Logs shows errors for "too many connections." The errors occur during peak usage times that are unpredictable.
The company needs to make the application resilient. The database cannot be down outside of scheduled maintenance hours.
Which solution will meet these requirements?

Answer: B


NEW QUESTION # 327
A company hosts a client-side web application for one of its subsidiaries on Amazon S3. The web application can be accessed through Amazon CloudFront from https://www.example.com. After a successful rollout, the company wants to host three more client-side web applications for its remaining subsidiaries on three separate S3 buckets.
To achieve this goal, a developer moves all the common JavaScript files and web fonts to a central S3 bucket that serves the web applications. However, during testing, the developer notices that the browser blocks the JavaScript files and web fonts.
What should the developer do to prevent the browser from blocking the JavaScript files and web fonts?

Answer: A

Explanation:
This is a frequent trouble. Web applications cannot access the resources in other domains by default, except some exceptions. You must configure CORS on the resources to be accessed. https://docs.aws.amazon.com
/AmazonS3/latest/userguide/cors.html


NEW QUESTION # 328
A developer receives reports about slow performance in an application that uses Amazon DynamoDB. The developer reviews the application and finds a function that uses a scan operation on a large table that has more than 350,000 rows. The function returns only one or two items.
The developer needs to improve the application's performance.
Which solution will meet this requirement in the MOST operationally efficient way?

Answer: B

Explanation:
The correct answer is C because DynamoDB Scan operations are inefficient on large tables. A Scan reads every item in the table or index and then filters results, which is exactly why performance is poor when only one or two records are needed from more than 350,000 rows. AWS recommends using Query when the access pattern can be satisfied by a partition key and, when needed, a sort key condition because Query provides efficient access to the physical locations where matching data is stored. Increasing RCUs only masks the bad access pattern and increases cost. ElastiCache adds operational complexity and does not fix the inefficient DynamoDB request. DynamoDB Streams captures item changes; it does not improve read-path lookup performance.


NEW QUESTION # 329
A developer wants to insert a record into an Amazon DynamoDB table as soon as a new file is added to an Amazon S3 bucket.
Which set of steps would be necessary to achieve this?

Answer: B

Explanation:
Explanation
Amazon S3 is a service that provides highly scalable, durable, and secure object storage. Amazon DynamoDB is a fully managed NoSQL database service that provides fast and consistent performance with seamless scalability. AWS Lambda is a service that lets developers run code without provisioning or managing servers.
The developer can configure an S3 event to invoke a Lambda function that inserts records into DynamoDB whenever a new file is added to the S3 bucket. This solution will meet the requirement of inserting a record into DynamoDB as soon as a new file is added to S3.
References:
[Amazon Simple Storage Service (S3)]
[Amazon DynamoDB]
[What Is AWS Lambda? - AWS Lambda]
[Using AWS Lambda with Amazon S3 - AWS Lambda]


NEW QUESTION # 330
A developer wants to deploy a new version of an AWS Elastic Beanstalk application. During deployment, the application must maintain full capacity and avoid service interruption. Additionally, the developer must minimize the cost of additional resources that support the deployment.
Which deployment method should the developer use to meet these requirements?

Answer: B

Explanation:
Explanation
The immutable deployment method is the best option for this scenario, because it meets the requirements of maintaining full capacity, avoiding service interruption, and minimizing the cost of additional resources.
The immutable deployment method creates a new set of instances in a separate Auto Scaling group and deploys the new version of the application to them. Then, it swaps the new instances with the old ones and terminates the old instances. This way, the application maintains full capacity during the deployment and avoids any downtime. The cost of additional resources is also minimized, because the new instances are only created for a short time and then replaced by the old ones.
The other deployment methods do not meet all the requirements:
The all at once method deploys the new version to all instances simultaneously, which causes a short period of downtime and reduced capacity.
The rolling with additional batch method deploys the new version in batches, but for the first batch it creates new instances instead of using the existing ones. This increases the cost of additional resources and reduces the capacity of the original environment.
The blue/green method creates a new environment with a new set of instances and deploys the new version to them. Then, it swaps the URLs between the old and new environments. This method maintains full capacity and avoids service interruption, but it also increases the cost of additional resources significantly, because it duplicates the entire environment.


NEW QUESTION # 331
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