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Amazon DVA-C02 Exam Syllabus Topics:

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

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Amazon AWS Certified Developer - Associate Sample Questions (Q661-Q666):

NEW QUESTION # 661
A financial company must store original customer records for 10 years for legal reasons. A complete record contains personally identifiable information (PII). According to local regulations, PII is available to only certain people in the company and must not be shared with third parties. The company needs to make the records available to third-party organizations for statistical analysis without sharing the PII.
A developer wants to store the original immutable record in Amazon S3. Depending on who accesses the S3 document, the document should be returned as is or with all the PII removed. The developer has written an AWS Lambda function to remove the PII from the document. The function is named removePii.
What should the developer do so that the company can meet the PII requirements while maintaining only one copy of the document?

Answer: B

Explanation:
Explanation
S3 Object Lambda allows you to add your own code to process data retrieved from S3 before returning it to an application. You can use an AWS Lambda function to modify the data, such as removing PII, redacting confidential information, or resizing images. You can create an S3 Object Lambda access point and associate it with your Lambda function. Then, you can use the access point to request objects from S3 and get the modified data back. This way, you can maintain only one copy of the original document in S3 and apply different transformations depending on who accesses it. Reference: Using AWS Lambda with Amazon S3


NEW QUESTION # 662
A developer deployed an application to an Amazon EC2 instance The application needs to know the public IPv4 address of the instance How can the application find this information?

Answer: A

Explanation:
* Instance Metadata Service: EC2 instances have access to an internal metadata service. It provides instance-specific information like instance ID, security groups, and public IP address.
* Accessing Metadata:
* Make
an HTTP GET request to the base URL: http://169.254.169.254/latest/meta-data/
* You'll get a list of available categories. The public IPv4 address is under public-ipv4.
References:
Instance Metadata and User Data: https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data- retrieval.html


NEW QUESTION # 663
A developer is creating an AWS CloudFormation template to deploy Amazon EC2 instances across multiple AWS accounts. The developer must choose the EC2 instances from a list of approved instance types.
How can the developer incorporate the list of approved instance types in the CloudFormation template?

Answer: C

Explanation:
Explanation
In the CloudFormation template, the developer should create a parameter with the list of approved EC2 instance types as AllowedValues. This way, users can select the instance type they want to use when launching the CloudFormation stack, but only from the approved list.


NEW QUESTION # 664
A developer is building an application that reads data from an Amazon Aurora database cluster.
The cluster is configured as an Aurora global database that includes a second cluster in a secondary AWS Region. The company stores the database credentials for the application in an AWS Secrets Manager secret in the primary Region. The credentials are rotated regularly. The developer wants to ensure that the application can run in both Regions and is highly available across Regions. Which combination of actions will meet these requirements? (Choose two.)

Answer: A,E

Explanation:
Replicating the Secrets Manager secret to the secondary Region allows the application in each Region to retrieve credentials locally, improving cross-Region availability and avoiding dependency on the primary Region during a regional issue. Storing both the database endpoint and credentials in Secrets Manager lets the application retrieve the correct connection information securely and consistently for the Region where it is running.


NEW QUESTION # 665
A company wants to use AWS AppConfig to gradually deploy a new feature to 15% of users to test the feature before a full deployment.
Which solution will meet this requirement with theLEAST operational overhead?

Answer: D

Explanation:
Comprehensive Detailed and Lengthy Step-by-Step Explanation with All AWS Developer References:
1. Understanding the Use Case:
The company wants to gradually release a new feature to 15% of users to perform testing. AWS AppConfig is designed to manage and deploy configurations, including feature flags, allowing controlled rollouts.
2. Key AWS AppConfig Features:
* Feature Flags:Enable or disable features dynamically without redeploying code.
* Variants:Define different configurations for subsets of users.
* Targeting Rules:Specify rules for which users receive a particular variant.
3. Explanation of the Options:
* Option A:"Set up a custom script within the application to randomly select 15% of users. Assign a flag for the new feature to the selected users."While possible, this approach requires significant operational effort to manage user selection and ensure randomness. It does not leverage AWS AppConfig's built-in capabilities, which increases overhead.
* Option B:"Create separate AWS AppConfig feature flags for both groups of users. Configure the flags to target 15% of users."Creating multiple feature flags for different user groups complicates configuration management and does not optimize the use of AWS AppConfig.
* Option C:"Create an AWS AppConfig feature flag. Define a variant for the new feature, and create a rule to target 15% of users."This is the correct solution. Using AWS AppConfig feature flags with variants and targeting rules is the most efficient approach. It minimizes operational overhead by leveraging AWS AppConfig's built-in targeting and rollout capabilities.
* Option D:"Use AWS AppConfig to create a feature flag without variants. Implement a custom traffic splitting mechanism in the application code."This approach requires custom implementation within the application code, increasing complexity and operational effort.
4. Implementation Steps for Option C:
* Set Up AWS AppConfig:
* Open theAWS Systems Manager Console.
* Navigate toAppConfig.
* Create a Feature Flag:
* Define a new configuration for the feature flag.
* Add variants (e.g., "enabled" for the new feature and "disabled" for no change).
* Define a Targeting Rule:
* Usepercentage-based targetingto define a rule that applies the "enabled" variant to 15% of users.
* Targeting rules can use attributes like user IDs or geographic locations.
* Deploy the Configuration:
* Deploy the configuration using a controlled rollout to ensure gradual exposure.


NEW QUESTION # 666
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