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Amazon DVA-C02 (AWS Certified Developer - Associate) Certification Exam is an industry-recognized certification for developers who have expertise in building and deploying applications on the Amazon Web Services (AWS) platform. AWS Certified Developer - Associate certification exam validates the candidate's ability to design, develop, and maintain applications on AWS, and it is intended for professionals who have a minimum of one year of experience in developing and maintaining AWS-based applications.

Amazon DVA-C02 Certification is a valuable credential for developers who want to demonstrate their proficiency in developing and maintaining applications in AWS. It is a challenging exam that tests a candidate's knowledge and skills in core AWS services and application development. Passing DVA-C02 exam can open up new job opportunities and provide a competitive advantage in today's job market.

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Amazon DVA-C02 (AWS Certified Developer - Associate) Exam is a certification exam designed for developers who are interested in validating their proficiency in developing and maintaining applications on the Amazon Web Services (AWS) platform. DVA-C02 exam tests the candidate's ability to design, develop, deploy, and maintain scalable, fault-tolerant, and highly available applications on AWS using various programming languages and AWS services such as AWS Lambda, Amazon S3, Amazon EC2, and Amazon DynamoDB.

Amazon AWS Certified Developer - Associate Sample Questions (Q694-Q699):

NEW QUESTION # 694
An application routinely processes a large number of Amazon S3 GET requests each second. A developer wants to increase the number of requests that the application can handle in parallel.
What should the developer do to achieve this goal?

A. Partition Amazon S3 objects by object prefixes.
B. Configure AWS Global Accelerator for Amazon S3.
C. Configure AWS Direct Connect for Amazon S3.
D. Move all Amazon S3 objects into a single object prefix.

Answer: A

Explanation:
Amazon S3 automatically scales to handle high request rates, but request parallelism is optimized when objects are distributed across multiple prefixes. AWS documentation explains that S3 internally partitions data by key name, and distributing objects across multiple prefixes allows requests to be spread across multiple partitions.
When many GET requests target objects within the same prefix, they may contend for the same internal partition, limiting throughput. By designing object keys with multiple prefixes-such as including hashed or randomized components-applications can significantly increase parallel request handling.
Options A and D do not address S3 request partitioning. Global Accelerator improves network latency for supported endpoints but does not increase S3 request parallelism. Direct Connect improves network consistency but does not change how S3 scales requests internally. Option B worsens the problem by concentrating traffic into a single prefix.
Therefore, partitioning objects by prefixes is the correct and AWS-recommended solution.

NEW QUESTION # 695
A developer at a company writes an AWS CloudFormation template. The template refers to subnets that were created by a separate AWS CloudFormation template that the company's network team wrote. When the developer attempts to launch the stack for the first time, the launch fails.
Which template coding mistakes could have caused this failure? (Choose two.)

A. The network team's template does not export the subnets in the Mappings section.
B. The developer's template does not use the Ref intrinsic function to refer to the subnets.
C. The Mappings section of the developer's template does not refer to the subnets.
D. The developer's template does not use the ImportValue intrinsic function to refer to the subnets.
E. The network team's template does not export the subnets in the Outputs section.

Answer: D,E

NEW QUESTION # 696
A developer is building a new application on AWS. The application uses an AWS Lambda function that retrieves information from an Amazon DynamoDB table. The developer hard coded the DynamoDB table name into the Lambda function code. The table name might change over time. The developer does not want to modify the Lambda code if the table name changes.
Which solution will meet these requirements MOST efficiently?

A. Create a global variable that is outside the handler in the Lambda function to store the table name.
B. Create a file to store the table name. Zip the file and upload the file to the Lambda layer. Use the SDK for the programming language to retrieve the table name.
C. Store the table name in a file. Store the file in the /tmp folder. Use the SDK for the programming language to retrieve the table name.
D. Create a Lambda environment variable to store the table name. Use the standard method for the programming language to retrieve the variable.

Answer: B

NEW QUESTION # 697
A developer is building a microservice that uses AWS Lambda to process messages from an Amazon Simple Queue Service (Amazon SQS) standard queue. The Lambda function calls external APIs to enrich the SQS message data before loading the data into an Amazon Redshift data warehouse. The SQS queue must handle a maximum of 1,000 messages per second.
During initial testing, the Lambda function repeatedly inserted duplicate data into the Amazon Redshift table. The duplicate data led to a problem with data analysis. All duplicate messages were submitted to the queue within 1 minute of each other.
How should the developer resolve this issue?

A. Create an SQS FIFO queue. Enable message deduplication on the SQS FIFO queue.
B. Use Lambda's temporary storage to keep track of processed message identifiers
C. Configure a message group ID for every sent message. Enable message deduplication on the SQS standard queue.
D. Reduce the maximum Lambda concurrency that the SQS queue can invoke.

Answer: A

NEW QUESTION # 698
An ecommerce company manages its application's infrastructure by using AWS Elastic Beanstalk. A developer wants to deploy the new version of the application with the least possible application downtime. The developer also must minimize the application's rollback time if there are issues with the deployment. Which approach will meet these requirements?

A. Use an all-at-once deployment to deploy the new version.
B. Use a rolling deployment with additional batches to deploy the new version.
C. Use a rolling deployment to deploy the new version.
D. Deploy the new version to a new environment. Use a blue/green deployment.

Answer: D

Explanation:
A blue/green deployment creates a separate environment for the new application version and shifts traffic only after validation succeeds. This approach results in near-zero downtime and enables an immediate rollback by redirecting traffic back to the original environment if issues occur, making it the safest and fastest option for minimizing both downtime and rollback time.

NEW QUESTION # 699
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