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Amazon DVA-C02 Exam Syllabus Topics:

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

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Amazon AWS Certified Developer - Associate Sample Questions (Q200-Q205):

NEW QUESTION # 200
A developer designed an application on an Amazon EC2 instance The application makes API requests to objects in an Amazon S3 bucket Which combination of steps will ensure that the application makes the API requests in the MOST secure manner? (Select TWO.)

Answer: A,E

Explanation:
IAM Roles for EC2: IAM roles are the recommended way to provide AWS credentials to applications running on EC2 instances. Here's how this works:
You create an IAM role with the necessary permissions to access the target S3 bucket.
You create an instance profile and associate the IAM role with this profile.
When launching the EC2 instance, you attach this instance profile.
Temporary Security Credentials: When the application on the EC2 instance needs to access S3, it doesn't directly use access keys. Instead, the AWS SDK running on the instance retrieves temporary security credentials associated with the role. These are rotated automatically by AWS.
Reference:
IAM Roles for Amazon EC2: https://docs.aws.amazon.com/IAM/latest/UserGuide/id_roles_use_switch-role-ec2.html Temporary Security Credentials: https://docs.aws.amazon.com/IAM/latest/UserGuide/id_credentials_temp.html


NEW QUESTION # 201
An application uses Lambda functions to extract metadata from files uploaded to an S3 bucket; the metadata is stored in Amazon DynamoDB. The application starts behaving unexpectedly, and the developer wants to examine the logs of the Lambda function code for errors.
Based on this system configuration, where would the developer find the logs?

Answer: A

Explanation:
Explanation
Amazon CloudWatch is the service that collects and stores logs from AWS Lambda functions. The developer can use CloudWatch Logs Insights to query and analyze the logs for errors and metrics. Option A is not correct because Amazon S3 is a storage service that does not store Lambda function logs. Option B is not correct because AWS CloudTrail is a service that records API calls and events for AWS services, not Lambda function logs. Option D is not correct because Amazon DynamoDB is a database service that does not store Lambda function logs.
References: AWS Lambda Monitoring, [CloudWatch Logs Insights]


NEW QUESTION # 202
A developer has an application that is composed of many different AWS Lambda functions. The Lambda functions all use some of the same dependencies. To avoid security issues the developer is constantly updating the dependencies of all of the Lambda functions. The result is duplicated effort to reach function.
How can the developer keep the dependencies of the Lambda functions up to date with the LEAST additional complexity?

Answer: D

Explanation:
This solution allows the developer to keep the dependencies of the Lambda functions up to date with the least additional complexity because it eliminates the need to update each function individually. A Lambda layer is a ZIP archive that contains libraries, custom runtimes, or other dependencies. The developer can create a layer that contains all of the shared dependencies and attach it to multiple Lambda functions. When the developer updates the layer, all of the functions that use the layer will have access to the latest version of the dependencies.


NEW QUESTION # 203
A company has a multi-node Windows legacy application that runs on premises. The application uses a network shared folder as a centralized configuration repository to store configuration files in .xml format. The company is migrating the application to Amazon EC2 instances. As part of the migration to AWS, a developer must identify a solution that provides high availability for the repository.
Which solution will meet this requirement MOST cost-effectively?

Answer: B

Explanation:
Explanation
Amazon S3 is a service that provides highly scalable, durable, and secure object storage. The developer can create an S3 bucket to host the repository and migrate the existing .xml files to the S3 bucket. The developer can update the application code to use the AWS SDK to read and write configuration files from S3. This solution will meet the requirement of high availability for the repository in a cost-effective way.
References:
[Amazon Simple Storage Service (S3)]
[Using AWS SDKs with Amazon S3]


NEW QUESTION # 204
Users are reporting errors in an application. The application consists of several micro services that are deployed on Amazon Elastic Container Serves (Amazon ECS) with AWS Fargate.
When combination of steps should a developer take to fix the errors? (Select TWO)

Answer: B,C

Explanation:
The combination of steps that the developer should take to fix the errors is to deploy AWS X-Ray as a sidecar container to the microservices and instrument the ECS task to send the stdout and stderr output to Amazon CloudWatch Logs. This way, the developer can use AWS X-Ray to analyze and debug the performance of the microservices and identify any issues or bottlenecks. The developer can also use CloudWatch Logs to monitor and troubleshoot the logs from the ECS task and detect any errors or exceptions. The other options either involve using AWS X-Ray as a daemon set, which is not supported by Fargate, or using the PutTraceSegments API call, which is not necessary when using a sidecar container.
Reference: Using AWS X-Ray with Amazon ECS


NEW QUESTION # 205
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