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Amazon AWS Certified Developer - Associate Sample Questions (Q186-Q191):

NEW QUESTION # 186
A company has an application that is deployed on AWS Elastic Beanstalk. The application generates user-specific PDFs and stores the PDFs in an Amazon S3 bucket. The application then uses Amazon Simple Email Service (Amazon SES) to send the PDFs by email to subscribers.
Users no longer access the PDFs 90 days after the PDFs are generated. The S3 bucket is not versioned and contains many obsolete PDFs.
A developer must reduce the number of files in the S3 bucket by removing PDFs that are older than 90 days.
Which solution will meet this requirement with the LEAST development effort?

A. Create an AWS Lambda function. Program the Lambda function to scan all the objects in the S3 bucket every day and to delete objects after 90 days.
B. Create an S3 Lifecycle rule for the S3 bucket to expire objects after 90 days.
C. Partition the S3 objects with a // key prefix. Create an AWS Lambda function to remove objects that have prefixes that have reached the expiration date.
D. Update the application code. In the code, add a rule to scan all the objects in the S3 bucket every day and to delete objects after 90 days.

Answer: B

NEW QUESTION # 187
A developer wants to insert a record into an Amazon DynamoDB table as soon as a new file is added to an Amazon S3 bucket.
Which set of steps would be necessary to achieve this?

A. Create an event with Amazon EventBridge that will monitor the S3 bucket and then insert the records into DynamoDB.
B. Configure an S3 event to invoke an AWS Lambda function that inserts records into DynamoDB.
C. Create a cron job that will run at a scheduled time and insert the records into DynamoDB.
D. Create an AWS Lambda function that will poll the S3 bucket and then insert the records into DynamoDB.

Answer: B

Explanation:
Explanation
Amazon S3 is a service that provides highly scalable, durable, and secure object storage. Amazon DynamoDB is a fully managed NoSQL database service that provides fast and consistent performance with seamless scalability. AWS Lambda is a service that lets developers run code without provisioning or managing servers. The developer can configure an S3 event to invoke a Lambda function that inserts records into DynamoDB whenever a new file is added to the S3 bucket. This solution will meet the requirement of inserting a record into DynamoDB as soon as a new file is added to S3.
References:
[Amazon Simple Storage Service (S3)]
[Amazon DynamoDB]
[What Is AWS Lambda? - AWS Lambda]
[Using AWS Lambda with Amazon S3 - AWS Lambda]

NEW QUESTION # 188
A developer is trying get data from an Amazon DynamoDB table called demoman-table. The developer configured the AWS CLI to use a specific IAM use's credentials and ran the following command.

The command returned errors and no rows were returned.
What is the MOST likely cause of these issues?

A. The IAM user needs an associated policy with read access to demoman-table
B. The developer needs to log a ticket with AWS Support to enable access to the demoman-table
C. The command is incorrect; it should be rewritten to use put-item with a string argument
D. Amazon DynamoOB cannot be accessed from the AWS CLI and needs to called via the REST API

Answer: A

Explanation:
Explanation
This solution will most likely solve the issues because it will grant the IAM user the necessary permission to access the DynamoDB table using the AWS CLI command. The error message indicates that the IAM user does not have sufficient access rights to perform the scan operation on the table. Option A is not optimal because it will change the command to use put-item instead of scan, which will not achieve the desired result of getting data from the table. Option B is not optimal because it will involve contacting AWS Support, which may not be necessary or efficient for this issue. Option C is not optimal because it will state that DynamoDB cannot be accessed from the AWS CLI, which is incorrect as DynamoDB supports AWS CLI commands.
References: AWS CLI for DynamoDB, [IAM Policies for DynamoDB]

NEW QUESTION # 189
A developer is receiving an intermittent ProvisionedThroughputExceededException error from an application that is based on Amazon DynamoDB. According to the Amazon CloudWatch metrics for the table, the application is not exceeding the provisioned throughput. What could be the cause of the issue?

A. The DynamoDB table storage size is larger than the provisioned size.
B. The application is exceeding capacity on a particular hash key.
C. The DynamoDB table is exceeding the provisioned scaling operations.
D. The application is exceeding capacity on a particular sort key.

Answer: B

Explanation:
DynamoDB distributes throughput across partitions based on the hash key. A hot partition (caused by high usage of a specific hash key) can result in a ProvisionedThroughputExceededException, even if overall usage is below the provisioned capacity.
Why Option B is Correct:
Partition-Level Limits: Each partition has a limit of 3,000 read capacity units or 1,000 write capacity units per second.
Hot Partition: Excessive use of a single hash key can overwhelm its partition.
Why Not Other Options:
Option A: DynamoDB storage size does not affect throughput.
Option C: Provisioned scaling operations are unrelated to throughput errors.
Option D: Sort keys do not impact partition-level throughput.
Reference:
DynamoDB Partition Key Design Best Practices

NEW QUESTION # 190
A company runs an AWS CodeBuild project on medium-sized Amazon EC2 instances. The company wants to cost optimize the project and reduce the provisioning time.

A. Set up Amazon S3 caching for the CodeBuild project.
B. Select AWS Lambda as the compute mode for the CodeBuild project.
C. Configure the project to run on a CodeBuild reserved capacity fleet.
D. Configure the project to run on a CodeBuild on-demand fleet.

Answer: A

Explanation:
Comprehensive and Detailed Step-by-Step
Option D: Set up Amazon S3 Caching for CodeBuild:
CodeBuild supports S3 caching to store intermediate build artifacts and dependencies. This reduces the time required to download dependencies during subsequent builds, effectively lowering costs and improving build performance.
By using S3 caching, developers can optimize costs without changing the compute type or adding complexity.
Why Other Options Are Incorrect:
Option A: CodeBuild does not have a "reserved capacity fleet" option.
Option B: AWS Lambda cannot be used as the compute mode for CodeBuild projects. CodeBuild uses its own managed build environments.
Option C: CodeBuild already operates on an on-demand basis, so this does not address the need for optimization or reduced provisioning time.
Reference:
AWS CodeBuild Caching Documentation

NEW QUESTION # 191
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