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A company operates a web-based loan processing application.

A company operates a web-based loan processing application. The application ' s UI is implemented in JavaScript. The frontend transmits application data securely by using HTTPS to Amazon API Gateway, which invokes an AWS Lambda function in private subnets. The Lambda function interacts with third-party credit check APIs that require persistent API keys. The company enforces strict policies to ensure that personally identifiable information (PII) and sensitive credentials are never exposed in client code, request paths, headers, or logs. The company needs a solution to manage the API keys that the Lambda function must use. Which solution will meet this requirement in the MOST secure way?

A.

Store the API keys as encrypted environment variables by using an AWS KMS key. Configure the execution role of the Lambda function to have permissions to securely decrypt the environment variables at runtime.

B.

Pass the API keys to the Lambda function by including the keys as URL query parameters in each HTTPS request. Rely on TLS for encryption of the payload and response. Use API Gateway logging controls to manage what query parameters are logged.

C.

Bundle the API keys inside the minified client-side JavaScript. Configure the web application to call the Lambda function by using an API Gateway HTTP API, cross-origin resource sharing (CORS) restrictions, domain allowlists, and frequent rotation.

D.

Store the API keys as resource metadata tags on the Lambda function. Configure the Lambda function to read its own tags at startup by using the AWS SDK. Use IAM conditions to control access to the keys when the function retrieves the tags.

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