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Passing the DVA-C02 exam demonstrates that a developer has the skills and knowledge required to develop and maintain AWS-based applications. It is a valuable certification for developers who want to work with AWS, as it provides them with a competitive edge in the job market. Additionally, it is a prerequisite for the AWS Certified DevOps Engineer - Professional certification. Overall, the DVA-C02 Exam is an excellent way for developers to demonstrate their expertise in AWS and advance their careers in cloud computing.
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To earn the DVA-C02 certification, candidates must pass a 130-minute exam consisting of 65 multiple-choice and multiple-response questions. DVA-C02 exam is available in English, Japanese, Korean, and Simplified Chinese. AWS Certified Developer - Associate certification is valid for three years, after which candidates must recertify to maintain their credentials.
Amazon DVA-C02 (AWS Certified Developer - Associate) Exam is a certification exam that is designed to test the knowledge and skills of individuals who are interested in becoming AWS Certified Developers. DVA-C02 Exam is ideal for developers who have experience in developing and maintaining applications on the AWS platform. DVA-C02 exam assesses the candidate's ability to design, develop, and deploy cloud-based solutions using AWS services and tools.
NEW QUESTION # 142
A developer is using an AWS CloudFormation template to create a pipeline in AWS CodePipeline. The template creates an Amazon S3 bucket that the pipeline references in a source stage. The template also creates an AWS CodeBuild project for a build stage. The pipeline sends notifications to an Amazon SNS topic. Logs for the CodeBuild project are stored in Amazon CloudWatch Logs. The company needs to ensure that the pipeline's artifacts are encrypted with an existing customer-managed AWS KMS key. The developer has granted the pipeline permissions to use the KMS key.
Which additional step will meet these requirements?
Answer: B
Explanation:
Ensuring that pipeline artifacts are encrypted with a customer-managed AWS KMS key involves configuring the S3 bucket policy to require encryption. This policy ensures all objects uploaded to the bucket are encrypted with the specified KMS key.
NEW QUESTION # 143
An application adds a processing date to each transaction that it receives. The application writes each transaction to an Amazon DynamoDB table by using the PutItem operation. Each transaction has a unique ID (transactionID). Sometimes the application receives transactions more than once.
A developer notices that duplicate transactions in DynamoDB have the latest processing date instead of the date when the transaction was first received. Duplicate records happen infrequently, and most of the transactions are unique.
What is the MOST cost-effective solution that the developer can implement to ensure that PutItem does not update an existing record?
Answer: B
Explanation:
Using a conditional PutItem with the condition expression attribute_not_exists(transactionID) ensures that the item is only inserted if it does not already exist, preventing overwrites of existing records. This approach avoids the extra read cost of a GetItem call and is more cost-effective.
NEW QUESTION # 144
A company has an analytics application that uses an AWS Lambda function to process transaction data asynchronously. A developer notices that asynchronous invocations of the Lambda function sometimes fail. When failed Lambda function invocations occur, the developer wants to invoke a second Lambda function to handle errors and log details.
Which solution will meet these requirements?
Answer: B
NEW QUESTION # 145
A company has implemented a pipeline in AWS CodePipeline. The company is using a single AWS account and does not use AWS Organizations. The company needs to test its AWS CloudFormation templates in its primary AWS Region and a disaster recovery Region.
Which solution will meet these requirements with the MOST operational efficiency?
Answer: D
Explanation:
AWS CloudFormation StackSets allows you to deploy CloudFormation stacks across multiple AWS Regions and accounts from a single CloudFormation template. In this case, even though the company is using a single AWS account, StackSets can efficiently deploy and test the CloudFormation templates in both the primary Region and the disaster recovery Region.
This approach is operationally efficient because it simplifies the deployment process by automating the distribution of the stacks across Regions, reducing manual work and complexity compared to other options. StackSets are designed for managing deployments across multiple Regions, which fits the requirements.
NEW QUESTION # 146
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: D
Explanation:
Comprehensive and Detailed Step-by-Step
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.
Reference:
Best Practices for Kinesis Data Streams Partition Key Design
NEW QUESTION # 147
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