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Amazon AWS Certified Developer - Associate Sample Questions (Q50-Q55):

NEW QUESTION # 50
A developer maintains a serverless application that uses an Amazon API Gateway REST API to invoke an AWS Lambda function by using a non-proxy integration. The Lambda function returns data, which is stored in Amazon DynamoDB.
Several application users begin to receive intermittent errors from the API. The developer examines Amazon CloudWatch Logs for the Lambda function and discovers several ProvisionedThroughputExceededException errors.
The developer needs to resolve the errors and ensure that the errors do not reoccur.

A. Use provisioned capacity mode for the DynamoDB table, and assign sufficient capacity units. Configure the Lambda function to retry requests with exponential backoff.
B. Update the REST API to invoke the Lambda function asynchronously.
C. Configure a usage plan for the REST API.
D. Update the REST API to send requests on an Amazon SQS queue. Configure the Lambda function to process requests from the queue.

Answer: A

Explanation:
Comprehensive and Detailed Step-by-Step
Option A: Provisioned Capacity with Exponential Backoff:
Using provisioned capacity ensures sufficient throughput for the DynamoDB table.
Configuring the Lambda function to implement exponential backoff retries reduces the chance of exceeding capacity during peak usage.
This combination addresses the root cause (ProvisionedThroughputExceededException) and prevents errors without overprovisioning.
Why Other Options Are Incorrect:
Option B: Using SQS adds unnecessary latency and complexity. The issue lies in DynamoDB throughput, not request management.
Option C: A usage plan for the API does not address throughput issues in DynamoDB.
Option D: Invoking the Lambda function asynchronously does not resolve the DynamoDB capacity issue and might lead to delayed processing.
Reference:
DynamoDB Provisioned Throughput Documentation

NEW QUESTION # 51
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. 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.
C. 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.
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

NEW QUESTION # 52
A developer is designing a serverless application for a game in which users register and log in through a web browser. The application makes requests on behalf of users to a set of AWS Lambda functions that run behind an Amazon API Gateway HTTP API.
The developer needs to implement a solution to register and log in users on the application's sign-in page. The solution must minimize operational overhead and must minimize ongoing management of user identities.
Which solution will meet these requirements?

A. Program the sign-in page to create users' IAM groups with the IAM roles attached to the groups.
B. Create an Amazon RDS for SQL Server DB instance to store the users and manage the permissions to the backend resources in AWS.
C. Configure the sign-in page to register and store the users and their passwords in an Amazon DynamoDB table with an attached IAM policy.
D. Create Amazon Cognito user pools for external social identity providers. Configure IAM roles for the identity pools.

Answer: D

NEW QUESTION # 53
A developer is modifying an existing AWS Lambda function. While checking the code, the developer notices hardcoded parameter values for an Amazon RDS for SQL Server user name, password, database, host, and port. There are also hardcoded parameter values for an Amazon DynamoDB table, an Amazon S3 bucket, and an Amazon Simple Notification Service (Amazon SNS) topic.
The developer wants to securely store the parameter values outside the code in an encrypted format and wants to turn on rotation for the credentials. The developer also wants to be able to reuse the parameter values from other applications and to update the parameter values without modifying code.
Which solution will meet these requirements with the LEAST operational overhead?

A. Create RDS database parameters in AWS Systems Manager Parameter Store for the user name, password, database, host, and port. Create encrypted Lambda environment variables for the DynamoDB table, S3 bucket, and SNS topic. Create a Lambda function and set the logic for the credentials rotation task. Schedule the credentials rotation task in Amazon EventBridge.
B. Create RDS database parameters in AWS Systems Manager Parameter Store for the user name, password, database, host, and port. Store the DynamoDB table, S3 bucket, and SNS topic in Amazon S3. Create a Lambda function and set the logic for the credentials rotation. Invoke the Lambda function on a schedule.
C. Create an RDS database secret in AWS Secrets Manager. Set the user name, password, database, host, and port. Turn on secret rotation. Create SecureString parameters in AWS Systems Manager Parameter Store for the DynamoDB table, S3 bucket, and SNS topic.
D. Create an RDS database secret in AWS Secrets Manager. Set the user name, password, database, host, and port. Turn on secret rotation. Create encrypted Lambda environment variables for the DynamoDB table, S3 bucket, and SNS topic.

Answer: C

Explanation:
https://docs.aws.amazon.com/systems-manager/latest/userguide/integration-ps- secretsmanager.html

NEW QUESTION # 54
A developer is building an application that uses AWS API Gateway APIs, AWS Lambda functions, and AWS DynamoDB tables. The developer uses the AWS Serverless Application Model (AWS SAM) to build and run serverless applications on AWS. Each time the developer pushes changes for only to the Lambda functions, all the artifacts in the application are rebuilt.
The developer wants to implement AWS SAM Accelerate by running a command to only redeploy the Lambda functions that have changed.
Which command will meet these requirements?

A. sam sync --watch
B. sam package
C. sam deploy --no-execute-changeset
D. sam deploy --force-upload

Answer: A

Explanation:
The sam sync --watch command will only deploy the Lambda functions that have changed. This command uses AWS SAM Accelerate to compare the local versions of your Lambda functions to the versions deployed in AWS. If there are differences, the command deploys only the changed Lambda functions.

NEW QUESTION # 55
......

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