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Amazon DVA-C02 Exam Syllabus Topics:

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

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Amazon AWS Certified Developer - Associate Sample Questions (Q91-Q96):

NEW QUESTION # 91
A developer is creating an application. New users of the application must be able to create an account and register by using their own social media accounts.
Which AWS service or resource should the developer use to meet these requirements?

Answer: B

Explanation:
You can't register using Identity Pool. It lets you authenticate with provided identification pools.


NEW QUESTION # 92
A developer is testing an application that invokes an AWS Lambda function asynchronously. During the testing phase the Lambda function fails to process after two retries.
How can the developer troubleshoot the failure?

Answer: C

Explanation:
Explanation
This solution allows the developer to troubleshoot the failure by capturing unprocessed events in a queue for further analysis. Dead Letter Queues (DLQs) are queues that store messages that could not be processed by a service, such as Lambda, for various reasons, such as configuration errors, throttling limits, or permissions issues. The developer can configure DLQs for Lambda functions by sending events to either an Amazon Simple Queue Service (SQS) queue or an Amazon Simple Notification Service (SNS) topic. The developer can then inspect the messages in the queue or topic to identify and fix the root cause of the failure.
Configuring AWS CloudTrail logging will not capture invocation failures for asynchronous Lambda invocations, but only record API calls made by or on behalf of Lambda. Configuring Amazon Simple Workflow Service (SWF) or AWS Config will not process any direct unprocessed events, but require additional integration and configuration.


NEW QUESTION # 93
A company hosts its application on AWS. The application runs on an Amazon Elastic Container Service (Amazon ECS) cluster that uses AWS Fargate. The cluster runs behind an Application Load Balancer The application stores data in an Amazon Aurora database A developer encrypts and manages database credentials inside the application The company wants to use a more secure credential storage method and implement periodic credential rotation.
Which solution will meet these requirements with the LEAST operational overhead?

Answer: A

Explanation:
* Secrets Management: AWS Secrets Manager is designed specifically for storing and managing sensitive credentials.
* Built-in Rotation: Secrets Manager provides automatic secret rotation functionality, enhancing security posture significantly.
* IAM Integration: IAM policies and roles grant fine-grained access to ECS Fargate, ensuring the principle of least privilege.
* Reduced Overhead: This solution centralizes secrets management and automates rotation, reducing operational overhead compared to the other options.


NEW QUESTION # 94
A developer is leveraging a Border Gateway Protocol (BGP)-based AWS VPN connection to connect from on-premises to Amazon EC2 instances in the developer's account. The developer is able to access an EC2 instance in subnet A, but is unable to access an EC2 instance in subnet B in the same VPC. Which logs can the developer use to verify whether the traffic is reaching subnet B?

Answer: D

Explanation:
VPC Flow Logs capture network traffic information going to and from network interfaces in a VPC.
They are the best tool to verify if traffic is reaching subnet B and how it is being handled (accepted or rejected), helping to diagnose connectivity issues at the subnet or instance level.


NEW QUESTION # 95
A developer at a company needs to create a small application that makes the same API call once each day at a designated time. The company does not have infrastructure in the AWS Cloud yet, but the company wants to implement this functionality on AWS.
Which solution meets these requirements in the MOST operationally efficient manner?

Answer: D

Explanation:
The correct answer is C. Use an AWS Lambda function that is invoked by an Amazon EventBridge scheduled event.
C: Use an AWS Lambda function that is invoked by an Amazon EventBridge scheduled event. This is correct.
AWS Lambda is a serverless compute service that lets you run code without provisioning or managing servers.
Lambda runs your code on a high-availability compute infrastructure and performs all of the administration of thecompute resources, including server and operating system maintenance, capacity provisioning and automatic scaling, and logging1.Amazon EventBridge is a serverlessevent bus service that enables you to connect your applications with data from a variety of sources2.EventBridge can create rules that run on a schedule, either at regular intervals or at specific times and dates, and invoke targets such as Lambdafunctions3. This solution meets the requirements of creating a small application that makes the same API call once each day at a designated time, without requiring any infrastructure in the AWS Cloud or any operational overhead.
A: Use a Kubernetes cron job that runs on Amazon Elastic Kubernetes Service (Amazon EKS). This is incorrect.Amazon EKS is a fully managed Kubernetes service that allows you to run containerized applications on AWS4.Kubernetes cron jobs are tasks that run periodically on a given schedule5. This solution could meet the functional requirements of creating a small application that makes the same API call once each day at a designated time, but it would not be the most operationally efficient manner. The company would need to provision and manage an EKS cluster, which would incur additional costs and complexity.
B: Use an Amazon Linux crontab scheduled job that runs on Amazon EC2. This is incorrect.Amazon EC2 is a web service that provides secure, resizable compute capacity in the cloud6.Crontab is a Linux utility that allows you to schedule commands orscripts to run automatically at a specified time or date7. This solution could meet the functional requirements of creating a small application that makes the same API call once each day at a designated time, but it would not be the most operationally efficient manner. The company would need to provision and manage an EC2 instance, which would incur additional costs and complexity.
D: Use an AWS Batch job that is submitted to an AWS Batch job queue. This is incorrect.AWS Batch enables you to run batch computing workloads on the AWS Cloud8.Batch jobs are units of work that can be submitted to job queues, where they are executed in parallel or sequentially on compute environments9. This solution could meet the functional requirements of creating a small application that makes the same API call once each day at a designated time, but it would not be the most operationally efficient manner. The company would need to configure and manage an AWS Batch environment, which would incur additional costs and complexity.


NEW QUESTION # 96
......

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