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Amazon AWS Certified Developer - Associate Sample Questions (Q219-Q224):

NEW QUESTION # 219
A healthcare company uses AWS Amplify to host a patient management system. The system uses Amazon API Gateway to expose RESTful APIs. The backend logic of the system is handled by AWS Lambda functions.
One of the Lambda functions receives patient data that includes personally identifiable information (PII). The Lambda function sends the patient data to an Amazon DynamoDB table. The company must encrypt all patient data at rest and in transit before the data is stored in DynamoDB.

A. Use an AWS Step Functions workflow to transfer the data to an Amazon SQS queue. Configure a Lambda function to encrypt the data in the queue before sending the data to the DynamoDB table.
B. Use AWS managed AWS KMS keys to encrypt the data in the DynamoDB table.
C. Configure the Lambda function to use AWS KMS keys with the AWS Database Encryption SDK to encrypt the patient data before sending the data to DynamoDB.
D. Configure a DynamoDB stream on the table to invoke a Lambda function. Configure the Lambda function to use an AWS KMS key to encrypt the DynamoDB table and to update the table.

Answer: C

Explanation:
* Why Option A is Correct:Encrypting PII at rest and in transit before storing it in DynamoDB ensures end-to-end security. Using the AWS Database Encryption SDK with KMS keys allows the Lambda function to encrypt data before transmission, meeting security and compliance requirements.
* Why Other Options are Incorrect:
* Option B: While AWS-managed KMS keys encrypt DynamoDB data at rest, they do not encrypt data in transit.
* Option C: DynamoDB streams process updates after the data is written to the table, failing to encrypt PII in transit.
* Option D: Step Functions and SQS add unnecessary complexity and still require encryption logic for both transit and at rest.
* AWS Documentation References:
* Encrypting Data in DynamoDB
* AWS Database Encryption SDK

NEW QUESTION # 220
A developer is working on an application that processes operating data from IoT devices. Each IoT device uploads a data file once every hour to an Amazon S3 bucket. The developer wants to immediately process each data file when the data file is uploaded to Amazon S3.
The developer will use an AWS Lambda function to process the data files from Amazon S3. The Lambda function is configured with the S3 bucket information where the files are uploaded. The developer wants to configure the Lambda function to immediately invoke after each data file is uploaded.
Which solution will meet these requirements?

A. Add an asynchronous invocation to the Lambda function. Select the S3 bucket as the source.
B. Add an Amazon EventBridge event to the Lambda function. Select the S3 bucket as the source.
C. Add a layer to the Lambda function. Select the S3 bucket as the source.
D. Add a trigger to the Lambda function. Select the S3 bucket as the source.

Answer: D

Explanation:
Adding a trigger to your Lambda function is the solution that will meet these requirements. A trigger is an event that can invoke a Lambda function. In the case of this issue, the trigger must be an Amazon S3 event that fires when a new file is uploaded to the bucket.

NEW QUESTION # 221
A company uses Amazon API Gateway to expose a set of APIs to customers. The APIs have caching enabled in API Gateway. Customers need a way to invalidate the cache for each API when they test the API.
What should a developer do to give customers the ability to invalidate the API cache?

A. Attach an InvalidateCache policy to the IAM execution role that the customers use to invoke the API. Ask the customers to send a request that contains the Cache-Control:max-age=0 HTTP header when they make an API call.
B. Ask the customers to use the AWS SDK API Gateway class to invoke the InvalidateCache API operation.
C. Attach an InvalidateCache policy to the IAM execution role that the customers use to invoke the API. Ask the customers to add the INVALIDATE_CACHE query string parameter when they make an API call.
D. Ask the customers to use AWS credentials to call the InvalidateCache API operation.

Answer: A

Explanation:
https://docs.aws.amazon.com/apigateway/latest/developerguide/api-gateway-caching.html Invalidate an API Gateway Cache Entry A client of your API can invalidate an existing cache entry and reload it from the integration endpoint for individual requests. The client must send a request that contains the Cache-Control:
max-age=0 header. The client receives the response directly from the integration endpoint instead of the cache, provided that the client is authorized to do so. This replaces the existing cache entry with the new response, which is fetched from the integration endpoint.
To grant permission for a client, attach a policy of the following format to an IAM execution role for the user.

NEW QUESTION # 222
A company runs an application on AWS The application uses an AWS Lambda function that is configured with an Amazon Simple Queue Service (Amazon SQS) queue called high priority queue as the event source A developer is updating the Lambda function with another SQS queue called low priority queue as the event source The Lambda function must always read up to 10 simultaneous messages from thehigh priority queue before processing messages from low priority queue. The Lambda function must be limited to 100 simultaneous invocations.
Which solution will meet these requirements'?

A. Set the event source mapping maximum concurrency to 10 for the high priority queue and to 90 for the low priority queue
B. Set the event source mapping batch size to 10 for the high priority queue and to 90 for the low priority queue
C. Set the event source mapping batch window to 10 for the high priority queue and to 90 for the low priority queue
D. Set the delivery delay to 0 seconds for the high priority queue and to 10 seconds for the low priority queue

Answer: A

Explanation:
* Lambda Concurrency: The 'maximum concurrency' setting in event source mappings controls the maximum number of simultaneous invocations Lambda allows for that specific source.
* Prioritizing Queues: Setting a lower maximum concurrency for the 'high priority queue' ensures it's processed first while allowing more concurrent invocations from the 'low priority queue'.
* Batching: Batch size settings affect the number of messages Lambda retrieves from a queue per invocation, which is less relevant to the prioritization requirement.

NEW QUESTION # 223
A developer is creating a mobile app that calls a backend service by using an Amazon API Gateway REST API. For integration testing during the development phase, the developer wants to simulate different backend responses without invoking the backend service. Which solution will meet these requirements with the LEAST operational overhead?

A. Create an Amazon EC2 instance that serves the backend REST API by using an AWS CloudFormation template.
B. Create an AWS Lambda function. Use API Gateway proxy integration to return constant HTTP responses.
C. Customize the API Gateway stage to select a response type based on the request.
D. Use a request mapping template to select the mock integration response.

Answer: D

Explanation:
https://docs.aws.amazon.com/apigateway/latest/developerguide/how-to-mock-integration.html

NEW QUESTION # 224
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