Amazon DVA-C02 Prüfungsvorbereitung - DVA-C02 Vorbereitung

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Amazon DVA-C02 Exam Syllabus Topics:

Section	Weight	Objectives
Troubleshooting and Optimization	18%	- Performance optimization 1. Application performance tuning 2. Fault tolerance and resilience patterns - Monitoring and logging 1. Amazon CloudWatch metrics and logs
Security	26%	- Application authentication and authorization 1. IAM roles and policies 2. Cognito user authentication - Data security 1. Secure API access patterns 2. Encryption using AWS KMS
Deployment	24%	- CI/CD and deployment strategies 1. AWS CodePipeline workflows 2. AWS CodeBuild and CodeDeploy usage - Infrastructure as code 1. AWS CloudFormation templates
Development with AWS Services	32%	- AWS core services development 1. AWS Lambda functions development 2. Amazon DynamoDB integration patterns 3. Amazon S3 usage in applications - Application development and integration 1. API Gateway and REST APIs 2. Event-driven architectures with SNS/SQS

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Amazon AWS Certified Developer - Associate DVA-C02 Prüfungsfragen mit Lösungen (Q846-Q851):

846. Frage
An application makes requests to an Amazon DynamoDB table that is configured with provisioned throughput. The table has a partition key of UserID .
A developer needs to identify items in the table that have a status attribute of " Inactive " . The developer must add a specific email address to the appropriate attribute for all inactive items. The developer attempts to use an AWS Lambda function to update the table items. However, the function fails with the following error:
ConditionalCheckFailedException .
How can the developer resolve this error?

A. Update the condition expression section of the request to check whether the status attribute equals " Inactive " before making the update request.
B. Include error-handling logic in the Lambda function to retry the update operation when a ConditionalCheckFailedException error occurs.
C. Update the condition expression section of the request to check whether the email attribute exists in the item before making the update request.
D. Update the condition expression in the request to check whether the email address is in the expected format before making the update request.

Antwort: A

Begründung:
In DynamoDB, a ConditionalCheckFailedException occurs when an UpdateItem, PutItem, or DeleteItem operation includes a ConditionExpression that evaluates to false for the target item at the time of the write.
This is expected behavior: DynamoDB uses conditional expressions for optimistic concurrency control and for enforcing business rules atomically at write time.
In this scenario, the developer wants to update only items whose status is Inactive by adding an email address. The most correct way to prevent conditional failures is to ensure the update request's condition matches the intended target state. By adding (or correcting) a condition expression such as #st = :inactive (with expression attribute names/values), the update will proceed only when the item's status is actually " Inactive " . Items that are " Active " will be skipped by design rather than causing unexpected failures in the workflow.
Option B checks whether the email attribute exists, but that does not enforce the key business rule ("only inactive items") and may still fail depending on whether the attribute is present or absent across items. Option C (retry on ConditionalCheckFailedException) is not appropriate: the failure is not transient like throttling; it indicates the condition was not met, and retrying will likely fail again unless the item changes state. Option D is unrelated because email format validation is not what triggers DynamoDB conditional failures; the exception is about the conditional expression not matching item state.
Therefore, the correct fix is A : update the request's conditional expression to explicitly check that status equals " Inactive " before applying the update. This ensures only the intended items are modified and eliminates unnecessary conditional failures.

847. Frage
A developer is running an application on an Amazon EC2 instance. When the application tries to read an Amazon S3 bucket, the application fails. The developer notices that the associated IAM role is missing the S3 read permission. The developer needs to give the application the ability to read the S3 bucket.
Which solution will meet this requirement with the LEAST application disruption?

A. Add the permission to the role. Terminate the existing EC2 instance. Launch a new EC2 instance.
B. Add the permission to the S3 bucket. Restart the EC2 instance.
C. Add the permission to the role so that the change will take effect automatically.
D. Add the permission to the role. Hibernate and restart the existing EC2 instance.

Antwort: C

848. Frage
A company is building a content authoring application. The application has multiple user groups, such as content creator, reviewer, approver, and administrator. The company needs to assign users fine-grained permissions for specific parts of the application.
The company needs a solution to configure, maintain, and analyze user permissions. The company wants a solution that can be easily adapted to work with newer applications in the future. The company must use a third-party OpenID Connect (OIDC) identity provider (IdP) to authenticate users.

A. Set up an IAM role for each user group. Assign users appropriate IAM roles. Configure the application to determine appropriate permissions for each user based on the user's IAM role.
B. Configure an Amazon Cognito identity pool for the application. Use the identity pool identities within the application to manage user permissions.
C. Configure the application to check user permissions upon request. Configure the application logic to manage user permissions.
D. Use Amazon Verified Permissions to set up user permissions. Integrate Verified Permissions with a third-party IdP. Configure the application to request authorization decisions from Verified Permissions.

Antwort: D

Begründung:
Comprehensive Detailed Explanation with all AWS References
* Why Option C is Correct:Amazon Verified Permissions provides fine-grained access control capabilities, making it ideal for managing complex user permissions. It integrates with OIDC IdPs for authentication and allows applications to request authorization decisions dynamically. It is also easily adaptable to newer applications.
* Why Other Options are Incorrect:
* Option A: Cognito identity pools do not natively support fine-grained permission analysis or management.
* Option B: Managing permissions in application logic adds significant operational overhead.
* Option D: IAM roles are not designed for application-specific fine-grained access control and are more suitable for resource-level permissions.
* AWS Documentation References:
* Amazon Verified Permissions

849. Frage
A developer has an application that makes batch requests directly to Amazon DynamoDB by using the BatchGetItem low-level API operation. The responses frequently return values in the UnprocessedKeys element.
Which actions should the developer take to increase the resiliency of the application when the batch response includes values in UnprocessedKeys? (Choose two.)

A. Retry the batch operation immediately.
B. Update the application to use an AWS software development kit (AWS SDK) to make the requests.
C. Increase the provisioned write capacity of the DynamoDB tables that the operation accesses.
D. Retry the batch operation with exponential backoff and randomized delay.
E. Increase the provisioned read capacity of the DynamoDB tables that the operation accesses.

Antwort: B,D

Begründung:
Explanation
The UnprocessedKeys element indicates that the BatchGetItem operation did not process all of the requested items in the current response. This can happen if the response size limit is exceeded or if the table's provisioned throughput is exceeded. To handle this situation, the developer should retry the batch operation with exponential backoff and randomized delay to avoid throttling errors and reduce the load on the table. The developer should also use an AWS SDK to make the requests, as the SDKs automatically retry requests that return UnprocessedKeys.
References:
[BatchGetItem - Amazon DynamoDB]
[Working with Queries and Scans - Amazon DynamoDB]
[Best Practices for Handling DynamoDB Throttling Errors]

850. Frage
A developer is modifying an existing AWS Lambda function. While checking the code, the developer notices hardcoded parameter values for an Amazon RDS for SQL Server username, password, database, host, and port. There also are hardcoded parameter values for an Amazon DynamoDB table, an Amazon S3 bucket, and an Amazon SNS topic.
The developer wants to securely store the parameter values outside the code in an encrypted format and wants to turn on rotation for the credentials. The developer also wants to be able to reuse the parameter values from other applications and to update the parameter values without modifying code.
Which solution will meet these requirements with the LEAST operational overhead?

A. Create RDS database parameters in AWS Systems Manager Parameter Store for the username, password, database, host, and port. Store the DynamoDB table, S3 bucket, and SNS topic in Amazon S3. Create a Lambda function and set the logic for the credentials rotation. Invoke the Lambda function on a schedule.
B. Create an RDS database secret in AWS Secrets Manager. Set the username, password, database, host, and port. Turn on secret rotation. Create encrypted Lambda environment variables for the DynamoDB table, S3 bucket, and SNS topic.
C. Create an RDS database secret in AWS Secrets Manager. Set the username, password, database, host, and port. Turn on secret rotation. Create SecureString parameters in AWS Systems Manager Parameter Store for the DynamoDB table. S3 bucket, and SNS topic.
D. Create RDS database parameters in AWS Systems Manager Parameter Store for the username, password, database, host, and port. Create encrypted Lambda environment variables for the DynamoDB table, S3 bucket, and SNS topic. Create a Lambda function and set the logic for the credentials rotation task. Schedule the credentials rotation task in Amazon EventBridge.

Antwort: C

Begründung:
AWS Secrets Manager is the best fit for storing and rotating the RDS credentials because it provides encrypted secret storage and managed rotation support. AWS Systems Manager Parameter Store SecureString parameters securely store reusable encrypted configuration values such as the DynamoDB table, S3 bucket, and SNS topic, allowing other applications to retrieve updated values without code changes.

851. Frage
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