AWS Certified Developer - Associate DVA-C02
AWS Certified Developer - Associate DVA-C02 Exam

A company wants to share information with a third party. The third party has an HTTP API endpoint that the company can use to share the information. The company has the required API key to access the HTTP API.

The company needs a way to manage the API key by using code. The integration of the API key with the application code cannot affect application performance.

Which solution will meet these requirements MOST securely?

  1. Store the API credentials in AWS Secrets Manager. Retrieve the API credentials at runtime by using the AWS SDK. Use the credentials to make the API call.
  2. Store the API credentials in a local code variable. Push the code to a secure Git repository. Use the local code variable at runtime to make the API call.
  3. Store the API credentials as an object in a private Amazon S3 bucket. Restrict access to the S3 object by using IAM policies. Retrieve the API credentials at runtime by using the AWS SDK. Use the credentials to make the API call.
  4. Store the API credentials in an Amazon DynamoDB table. Restrict access to the table by using resource-based policies. Retrieve the API credentials at runtime by using the AWS SDK. Use the credentials to make the API call.

Answer(s): A

Explanation:

The MOST secure solution to manage the API key while ensuring that the integration of the API key with the application code does not affect application performance is to store the API key in AWS Secrets Manager. The API key can be retrieved at runtime by using the AWS SDK, which does not impact application performance. Therefore, option A is the correct answer.

Option B is not secure as it exposes the API key to anyone with access to the code repository, which increases the risk of unauthorized access.

Option C and D may work, but they require additional configuration and permissions management. Storing the API key in an S3 bucket or a DynamoDB table could expose the key to unauthorized users if proper IAM policies are not in place. Therefore, option A is the most secure and simple solution to manage the API key while not affecting the application's performance.



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?

  1. 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.
  2. 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.
  3. 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.
  4. 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(s): A

Explanation:

AWS Systems Manager Parameter Store is a service that allows you to securely store configuration data such as API URLs, credentials, and other variables. By updating the application to retrieve the variables from Parameter Store, you can separate the configuration from the application code, making it easier to manage and update the variables without modifying the application itself. Storing the credentials in AWS Secrets Manager provides an additional layer of security for sensitive information.



A company is migrating legacy internal applications to AWS. Leadership wants to rewrite the internal employee directory to use native AWS services. A developer needs to create a solution for storing employee contact details and high-resolution photos for use with the new application.

Which solution will enable the search and retrieval of each employee's individual details and high-resolution photos using AWS APIs?

  1. Encode each employee's contact information and photos using Base64. Store the information in an Amazon DynamoDB table using a sort key.
  2. Store each employee's contact information in an Amazon DynamoDB table along with the object keys for the photos stored in Amazon S3.
  3. Use Amazon Cognito user pools to implement the employee directory in a fully managed software-as-a-service (SaaS) method.
  4. Store employee contact information in an Amazon RDS DB instance with the photos stored in Amazon Elastic File System (Amazon EFS).

Answer(s): B

Explanation:

B. Store each employee's contact information in an Amazon DynamoDB table along with the object keys for the photos stored in Amazon S3.

Storing each employee's contact information in an Amazon DynamoDB table along with the object keys for the photos stored in Amazon S3 provides a scalable and efficient solution for storing and retrieving employee details and high-resolution photos using AWS APIs. The developer can use the DynamoDB table to query and retrieve employee details, while the S3 bucket can be used to store the high-resolution photos. By using S3, the solution can support large amounts of data while enabling fast retrieval times. The combination of DynamoDB and S3 can provide a cost-effective and scalable solution for storing employee data and photos.



A developer is creating an application that will give users the ability to store photos from their cellphones in the cloud. The application needs to support tens of thousands of users. The application uses an Amazon API Gateway REST API that is integrated with AWS Lambda functions to process the photos. The application stores details about the photos in Amazon DynamoDB.

Users need to create an account to access the application. In the application, users must be able to upload photos and retrieve previously uploaded photos. The photos will range in size from 300 KB to 5 MB.

Which solution will meet these requirements with the LEAST operational overhead?

  1. Use Amazon Cognito user pools to manage user accounts. Create an Amazon Cognito user pool authorizer in API Gateway to control access to the API. Use the Lambda function to store the photos and details in the DynamoDB table. Retrieve previously uploaded photos directly from the DynamoDB table.
  2. Use Amazon Cognito user pools to manage user accounts. Create an Amazon Cognito user pool authorizer in API Gateway to control access to the API. Use the Lambda function to store the photos in Amazon S3. Store the object's S3 key as part of the photo details in the DynamoDB table. Retrieve previously uploaded photos by querying DynamoDB for the S3 key.
  3. Create an IAM user for each user of the application during the sign-up process. Use IAM authentication to access the API Gateway API. Use the Lambda function to store the photos in Amazon S3. Store the object's S3 key as part of the photo details in the DynamoDB table. Retrieve previously uploaded photos by querying DynamoDB for the S3 key.
  4. Create a users table in DynamoDB. Use the table to manage user accounts. Create a Lambda authorizer that validates user credentials against the users table. Integrate the Lambda authorizer with API Gateway to control access to the API. Use the Lambda function to store the photos in Amazon S3. Store the object's S3 key as par of the photo details in the DynamoDB table. Retrieve previously uploaded photos by querying DynamoDB for the S3 key.

Answer(s): B

Explanation:

A nearest, but invalid, because you cannot store object in Dynamo.


Reference:

https://docs.aws.amazon.com/apigateway/latest/developerguide/apigateway-integrate-with-cognito.html https://aws.amazon.com/blogs/big-data/building-and-maintaining-an-amazon-s3-metadata-index-without-servers/




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