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Amazon DVA-C02 Exam, also known as the AWS Certified Developer - Associate exam, is a certification exam offered by Amazon Web Services (AWS) for software developers who want to validate their skills and knowledge in developing applications on the AWS platform. DVA-C02 exam is designed to test a candidate's ability to design, develop, and deploy cloud-based applications using AWS services and APIs. DVA-C02 exam covers a wide range of topics, including AWS core services, security, databases, and serverless architecture.

Professionals who earn the AWS Certified Developer - Associate certification can expect to have a wide range of career opportunities available to them. AWS Certified Developer - Associate certification is recognized by organizations around the world as a standard of excellence in cloud computing and application development. It can help professionals to stand out in a crowded job market and demonstrate their commitment to staying up-to-date with the latest trends and technologies in the field.

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The DVA-C02 Certification Exam consists of 65 multiple-choice and multiple-response questions that are to be completed in 130 minutes. DVA-C02 exam covers a range of topics, including AWS core services, database technologies, security and compliance, and deployment and monitoring. Candidates who pass the DVA-C02 exam demonstrate their ability to develop, deploy, and maintain applications using AWS services in a cost-effective, scalable, and reliable manner. AWS Certified Developer - Associate certification is suitable for developers, DevOps engineers, and solutions architects who want to advance their careers in cloud computing and demonstrate their expertise in AWS.

Amazon AWS Certified Developer - Associate Sample Questions (Q553-Q558):

NEW QUESTION # 553
A company's developer has deployed an application in AWS by using AWS CloudFormation. The CloudFormation stack includes parameters in AWS Systems Manager Parameter Store that the application uses as configuration settings. The application can modify the parameter values.
When the developer updated the stack to create additional resources with tags, the developer noted that the parameter values were reset and that the values ignored the latest changes made by the application. The developer needs to change the way the company deploys the CloudFormation stack. The developer also needs to avoid resetting the parameter values outside the stack.
Which solution will meet these requirements with the LEAST development effort?

Answer: B


NEW QUESTION # 554
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?

Answer: B


NEW QUESTION # 555
A developer is working on an app for a company that uses an Amazon DynamoDB table named Orders to store customer orders. The table uses OrderlD as the partition key and there is no sort key. The table contains more than 100,000 records. The developer needs to add a functionality that will retrieve all Orders records that contain an OrderSource attribute with the MobileApp value.
Which solution will improve the user experience in the MOST efficient way?

Answer: B

Explanation:
Requirement Summary:
DynamoDB table Orders
Partition key: OrderID
No sort key
100,000+ records
Need to efficiently retrieve all records where:
OrderSource = "MobileApp"
Must optimize for user experience (i.e., performance)
Evaluate Options:
Option A: Scan with FilterExpression
Inefficient for large tables
A Scan reads every item in the table and then applies a filter condition.
This is slow, expensive, and not scalable as the dataset grows.
Option B: Create a Local Secondary Index (LSI) with OrderSource
Invalid: LSIs require the same partition key (OrderID) as the base table.
Since OrderSource is not part of the primary key, and we want to query based on it, LSI won't help.
Option C: Create a GSI with OrderSource as the sort key
Misuse of sort key: Querying by sort key alone is not allowed in DynamoDB.
You must specify a partition key in a Query.
This design is not valid for the use case.
Option D: Create a GSI with OrderSource as the partition key
BEST CHOICE: With a GSI on OrderSource, you can query efficiently for all items where OrderSource =
"MobileApp".
DynamoDB GSIs allow an alternative access pattern for queries not supported by the base table schema.
GSI Design: https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/GSI.html Querying a GSI: https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/Query.html Scan vs Query: https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/bp-query-scan.html


NEW QUESTION # 556
A developer wants to reduce risk when deploying a new version of an existing AWS Lambda function. To test the Lambda function, the developer needs to split the traffic between the existing version and the new version of the Lambda function.
Which solution will meet these requirements?

Answer: A


NEW QUESTION # 557
A developer is building an application that gives users the ability to view bank account from multiple sources in a single dashboard. The developer has automated the process to retrieve API credentials for these sources.
The process invokes an AWS Lambda function that is associated with an AWS CloudFormation cotton resource.
The developer wants a solution that will store the API credentials with minimal operational overhead.
When solution will meet these requirements?

Answer: B

Explanation:
Explanation
The solution that will meet the requirements is to use the AWS SDK ssm PutParameter operation in the Lambda function from the existing custom resource to store the credentials as a parameter. Set the parameter value to reference the new credentials. Set the parameter type to SecureString. This way, the developer can store the API credentials with minimal operational overhead, as AWS Systems Manager Parameter Store provides secure and scalable storage for configuration data. The SecureString parameter type encrypts the parameter value with AWS Key Management Service (AWS KMS). The other options either involve adding additional resources to the CloudFormation template, which increases complexity and cost, or do not encrypt the parameter value, which reduces security.


NEW QUESTION # 558
......

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