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Amazon DVA-C02 Certification Exam covers a broad range of topics, including AWS core services, databases, application deployment, security, and monitoring. DVA-C02 exam consists of 65 multiple-choice and multiple-response questions that must be completed within 130 minutes. The passing score for DVA-C02 exam is 720 out of 1000, and it is available in multiple languages. Successful completion of this certification exam demonstrates the candidate's ability to develop and deploy scalable, secure, and reliable applications on the AWS platform, making them a valuable asset to any organization that uses AWS.

Obtaining the Amazon DVA-C02 Certification can be a valuable asset for software developers, as it demonstrates their expertise in cloud computing and AWS services. Certified developers are in high demand in the job market, and this certification can help individuals stand out from other candidates when applying for job roles that involve developing applications on AWS. Additionally, AWS certified developers have access to exclusive resources and networking opportunities, which can help them stay up-to-date with the latest trends and advancements in cloud computing.

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.

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Amazon AWS Certified Developer - Associate Sample Questions (Q573-Q578):

NEW QUESTION # 573
A developer is deploying a new application to Amazon Elastic Container Service (Amazon ECS). The developer needs to securely store and retrieve different types of variables. These variables include authentication information for a remote API, the URL for the API, and credentials. The authentication information and API URL must be available to all current and future deployed versions of the application across development, testing, and production environments.
How should the developer retrieve the variables with the FEWEST application changes?

A. Update the application to retrieve the variables from an encrypted file that is stored with the application.
Store the API URL and credentials in unique files for each environment.
B. Update the application to retrieve the variables from AWS Systems Manager Parameter Store. Use unique paths in Parameter Store for each variable in each environment. Store the credentials in AWS Secrets Manager in each environment.
C. Update the application to retrieve the variables from AWS Key Management Service (AWS KMS).
Store the API URL and credentials as unique keys for each environment.
D. Update the application to retrieve the variables from each of the deployed environments. Define the authentication information and API URL in the ECS task definition as unique names during the deployment process.

Answer: B

Explanation:
AWS Systems Manager Parameter Store is a service that provides secure, hierarchical storage for configuration data management and secrets management. The developer can update the application to retrieve the variables from Parameter Store by using the AWS SDK or the AWS CLI. The developer can use unique paths in Parameter Store for each variable in each environment, such as /dev/api-url, /test/api-url, and /prod
/api-url. The developer can also store the credentials in AWS Secrets Manager, which is integrated with Parameter Store and provides additional features such as automatic rotation and encryption.
References:
* [What Is AWS Systems Manager? - AWS Systems Manager]
* [Parameter Store - AWS Systems Manager]
* [What Is AWS Secrets Manager? - AWS Secrets Manager]

NEW QUESTION # 574
An application is processing clickstream data using Amazon Kinesis. The clickstream data feed into Kinesis experiences periodic spikes. The PutRecords API call occasionally fails and the logs show that the failed call returns the response shown below:

Which techniques will help mitigate this exception? (Choose two.)

A. Implement retries with exponential backoff.
B. Use a PutRecord API instead of PutRecords.
C. Reduce the frequency and/or size of the requests.
D. Use Amazon SNS instead of Kinesis.
E. Reduce the number of KCL consumers.

Answer: A,C

Explanation:
Explanation
The response from the API call indicates that the ProvisionedThroughputExceededException exception has occurred. This exception means that the rate of incoming requests exceeds the throughput limit for one or more shards in a stream. To mitigate this exception, the developer can use one or more of the following techniques:
Implement retries with exponential backoff. This will introduce randomness in the retry intervals and avoid overwhelming the shards with retries.
Reduce the frequency and/or size of the requests. This will reduce the load on the shards and avoid throttling errors.
Increase the number of shards in the stream. This will increase the throughput capacity of the stream and accommodate higher request rates.
Use a PutRecord API instead of PutRecords. This will reduce the number of records per request and avoid exceeding the payload limit.
References:
[ProvisionedThroughputExceededException - Amazon Kinesis Data Streams Service API Reference]
[Best Practices for Handling Kinesis Data Streams Errors]

NEW QUESTION # 575
A developer is troubleshooting an application. The application includes several AWS Lambda functions that invoke an Amazon API Gateway API. The API Gateway's method request is set up to use an Amazon Cognito authorizer for authentication.
All the Lambda functions pass the user ID as part of the Authorization header to the API Gateway API. The API Gateway API returns a 403 status code for all GET requests.
How should the developer resolve this issue?

A. Modify the client GET request to include a valid API key in the Authorization header.
B. Modify the client GET request to include a valid token in the Authorization header.
C. Update the resource policy for the API Gateway API to allow the execute-api:Invoke action.
D. Modify the client to send an OPTIONS preflight request before the GET request.

Answer: B

NEW QUESTION # 576
A developer wants to store information about movies. Each movie has a title, release year, and genre. The movie information also can include additional properties about the cast and production crew. This additional information is inconsistent across movies. For example, one movie might have an assistant director, and another movie might have an animal trainer.
The developer needs to implement a solution to support the following use cases:
For a given title and release year, get all details about the movie that has that title and release year.
For a given title, get all details about all movies that have that title.
For a given genre, get all details about all movies in that genre.
Which data store configuration will meet these requirements?

A. On an Amazon RDS DB instance, create a table that contains columns for title, release year, and genre.
Configure the title as the primary key.
B. Create an Amazon DynamoDB table. Configure the table with a primary key that consists of the genre as the partition key and the release year as the sort key. Create a global secondary index that uses the title as the partition key.
C. On an Amazon RDS DB instance, create a table where the primary key is the title and all other data is encoded into JSON format as one additional column.
D. Create an Amazon DynamoDB table. Configure the table with a primary key that consists of the title as the partition key and the release year as the sort key. Create a global secondary index that uses the genre as the partition key and the title as the sort key.

Answer: D

Explanation:
Amazon DynamoDB is a fully managed NoSQL database service that provides fast and consistent performance with seamless scalability. The developer can create a DynamoDB table and configure the table with a primary key that consists of the title as the partition key and the release year as the sort key. This will enable querying for a given title and release year efficiently. The developer can also create a global secondary index that uses the genre as the partition key and the title as the sort key. This will enable querying for a given genre efficiently. The developer can store additional properties about the cast and production crew as attributes in the DynamoDB table. These attributes can have different data types and structures, and they do not need to be consistent across items.
References:
* [Amazon DynamoDB]
* [Working with Queries - Amazon DynamoDB]
* [Working with Global Secondary Indexes - Amazon DynamoDB]

NEW QUESTION # 577
A development team wants to build a continuous integration/continuous delivery (CI/CD) pipeline. The team is using AWS CodePipeline to automate the code build and deployment. The team wants to store the program code to prepare for the CI/CD pipeline.
Which AWS service should the team use to store the program code?

A. Amazon CodeGuru
B. AWS CodeArtifact
C. AWS CodeCommit
D. AWS CodeDeploy

Answer: C

NEW QUESTION # 578
......

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