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Amazon DVA-C02 Certification is a valuable credential for developers who want to demonstrate their expertise in developing and maintaining cloud-based applications on the AWS platform. With its comprehensive coverage of AWS services and best practices, the certification exam provides a way for developers to showcase their skills and knowledge, and to differentiate themselves in a competitive job market.

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To be eligible for the Amazon DVA-C02 Certification Exam, candidates should have at least one year of hands-on experience in developing and maintaining applications on AWS. They should also have a strong understanding of AWS services and architecture, as well as proficiency in at least one programming language such as Java, Python, or Ruby. DVA-C02 Exam consists of 65 multiple-choice and multiple-answer questions, and candidates have 130 minutes to complete it.

Amazon AWS Certified Developer - Associate Sample Questions (Q528-Q533):

NEW QUESTION # 528
A developer needs to use Amazon DynamoDB to store customer orders. The developer's company requires all customer data to be encrypted at rest with a key that the company generates.
What should the developer do to meet these requirements?

Answer: C

Explanation:
Requirement Summary:
* Storecustomer ordersin DynamoDB
* Must encrypt data at rest
* Company wants to use akey it generates(i.e., customer managed key)
Evaluate Options:
A: Set encryption to None, manually encrypt/decrypt in code
* #Overhead and error-prone
* Alsonon-compliantwith AWS encryption best practices
#B. Use customer managed KMS key
* #Exactly meets the requirement: customer generates and controls the key
* During table creation, you can specify aKMS CMK ARN
C: Default encryption + kms:Encrypt in SDK
* #Misunderstanding: DynamoDB handles encryptionautomatically
* You don't need to call kms:Encrypt manually in SDK
D: Use AWS managed key
* #Does not meet the requirement of usingcustom company-generated key
* DynamoDB encryption: https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/EncryptionAtRest.html
* KMS customer managed keys: https://docs.aws.amazon.com/kms/latest/developerguide/concepts.html#customer-cmk


NEW QUESTION # 529
A developer is working on a web application that requires selective activation of specific features. The developer wants to keep the features hidden from end users until the features are ready for public access.
Which solution will meet these requirements?

Answer: B

Explanation:
The correct answer is C because AWS AppConfig provides built-in support for feature flags , allowing developers to enable or disable features dynamically without redeploying application code. This is exactly what the question requires: keeping features hidden from end users until the features are ready for release, and then selectively activating them when appropriate.
AWS documentation describes AppConfig as a service for managing application configuration in a safe and controlled way. Feature flags in AppConfig let teams separate deployment from release , which is a core best practice in modern application development. A developer can deploy code that contains unfinished or hidden functionality, while the actual visibility and activation of that functionality is controlled through feature flag values stored in an AppConfig configuration profile. When the feature is ready, the flag can be turned on without changing the application package.
Option A is incorrect because AWS AppSync is a managed GraphQL service and is not the AWS feature flag service for application configuration management. Option B is incorrect because DynamoDB Streams are used for capturing item-level changes and reacting to table updates, not for controlled feature activation.
Option D is incorrect because Amplify DataStore is intended for client-side data synchronization and offline access patterns, not centralized production feature flag management.
Using AppConfig also provides operational benefits such as deployment strategies, configuration validation, and rollback support, which make it safer than building a custom feature toggle mechanism. For these reasons, AWS AppConfig feature flags are the most appropriate and AWS-recommended solution for hiding prerelease features and selectively enabling them later.
Therefore, C is the correct answer.


NEW QUESTION # 530
A developer used the AWS SDK to create an application that aggregates and produces log records for
10 services. The application delivers data to an Amazon Kinesis Data Streams stream.
Each record contains a log message with a service name, creation timestamp, and other log information. The stream has 15 shards in provisioned capacity mode. The stream uses service name as the partition key.
The developer notices that when all the services are producing logs,
ProvisionedThroughputExceededException errors occur during PutRecord requests. The stream metrics show that the write capacity the applications use is below the provisioned capacity.

Answer: A

Explanation:
Comprehensive and Detailed Step-by-Step Explanation:
* Issue Analysis:
* The stream uses service name as the partition key. This can cause "hot partition" issues when a few service names generate significantly more logs compared to others, causing uneven distribution of data across shards.
* Metrics show that the write capacity used is below provisioned capacity, which confirms that the throughput errors are due to shard-level limits and not overall capacity.
* Option C: Change Partition Key to Creation Timestamp:
* By changing the partition key to the creation timestamp (or a composite key including timestamp), the distribution of data across shards can be randomized, ensuring an even spread of records.
* This resolves the shard overutilization issue and eliminates
ProvisionedThroughputExceededException.
* Why Other Options Are Incorrect:
* Option A: Switching to on-demand capacity mode might temporarily alleviate the issue, but the root cause (hot partitioning) remains unresolved.
* Option B: Adding shards increases capacity but does not fix the skewed data distribution caused by using the service name as the partition key.
* Option D: Creating separate streams for each service adds unnecessary complexity and does not scale well as the number of services grows.
References:
* Best Practices for Kinesis Data Streams Partition Key Design


NEW QUESTION # 531
A developer is modifying an AWS Lambda function that accesses an Amazon RDS for MySQL database. The developer discovers that the Lambda function has the database credentials stored as plaintext in the Lambda function code.
The developer must implement a solution to make the credentials more secure. The solution must include automated credential rotation every 30 days.
Which solution will meet these requirements?

Answer: D


NEW QUESTION # 532
A developer warns to add request validation to a production environment Amazon API Gateway API. The developer needs to test the changes before the API is deployed to the production environment. For the lest the developer will send test requests to the API through a testing tool.
Which solution will meet these requirements with the LEAST operational overhead?

Answer: C

Explanation:
This solution allows the developer to test the changes without affecting the production environment. Cloning an API creates a copy of the API definition that can be modified independently. The developer can then add request validation to the new API and test it using a testing tool. After verifying that the changes work as expected, the developer can apply the same changes to the existing API and deploy it to production.


NEW QUESTION # 533
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