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Amazon AWS Certified Solutions Architect - Associate Sample Questions (Q541-Q546):

NEW QUESTION # 541
An international company needs to share data from an Amazon S3 bucket to employees who are located around the world. The company needs a secure solution to provide employees with access to the S3 bucket. The employees are already enrolled in AWS IAM Identity Center. Which solution will meet these requirements with the LEAST operational overhead?

A. Configure AWS Transfer Family SFTP endpoints. Select the custom identity provider option. Use AWS Secrets Manager to manage the user credentials. Instruct employees to use Transfer Family SFTP.
B. Create a help desk application to generate an Amazon S3 presigned URL for each employee.
Configure the presigned URLs to have short expirations. Instruct employees to contact the company help desk to receive a presigned URL to access the S3 bucket.
C. Create an Amazon S3 File Gateway. Create one share for data uploads and a second share for data downloads. Set up an SFTP service on an Amazon EC2 instance. Mount the shares to the EC2 instance. Instruct employees to use the SFTP server.
D. Create a group for Amazon S3 access in IAM Identity Center. Add the employees who require access to the S3 bucket to the group. Create an IAM policy to allow Amazon S3 access from the group. Instruct employees to use the AWS access portal to access the AWS Management Console and navigate to the S3 bucket.

Answer: C

NEW QUESTION # 542
A company runs a self-managed Microsoft SOL Server on Amazon EC2 instances and Amazon Elastic Block Store (Amazon EBS). Daily snapshots are taken of the EBS volumes.
Recently, all the company's EBS snapshots were accidentally deleted while running a snapshot cleaning script that deletes all expired EBS snapshots. A solutions architect needs to update the architecture to prevent data loss without retaining EBS snapshots indefinitely.
Which solution will meet these requirements with the LEAST development effort?

A. Copy the EBS snapshots to another AWS Region after completing the snapshots daily.
B. Change the 1AM policy of the user to deny EBS snapshot deletion.
C. Create a 7-day EBS snapshot retention rule in Recycle Bin and apply the rule for all snapshots.
D. Copy EBS snapshots to Amazon S3 Standard-Infrequent Access (S3 Standard-IA).

Answer: C

Explanation:
* Requirement Analysis: The goal is to prevent accidental deletion of EBS snapshots while avoiding indefinite retention.
* Recycle Bin for EBS Snapshots: AWS Recycle Bin allows for retention rules that prevent immediate deletion of snapshots, providing a safety net against accidental deletions.
* Retention Rule: A 7-day retention rule ensures snapshots are not permanently deleted immediately, giving time to recover from accidental deletions.
* Implementation:
* Enable Recycle Bin in your AWS account.
* Create a retention rule that specifies a 7-day period for EBS snapshots.
* Apply this rule to all EBS snapshots.
* Conclusion: This solution provides an automated way to prevent data loss from accidental deletions with minimal development effort.
References
* AWS Recycle Bin: AWS Recycle Bin Documentation

NEW QUESTION # 543
A company is developing a latency-sensitive application. Part of the application includes several AWS Lambda functions that need to initialize as quickly as possible. The Lambda functions are written in Java and contain initialization code outside the handlers to load libraries, initialize classes, and generate unique IDs.
Which solution will meet the startup performance requirement MOST cost-effectively?

A. Update the Lambda functions to add a pre-snapshot hook. Move the code that generates unique IDs into the handlers. Publish a version of each Lambda function. Activate Lambda SnapStart for the published versions of the Lambda functions.
B. Publish a version of each Lambda function. Set up a provisioned concurrency configuration for each Lambda function to point to the corresponding version. Activate Lambda SnapStart for the published versions of the Lambda functions.
C. Publish a version of each Lambda function. Create an alias for each Lambda function. Configure each alias to point to its corresponding version. Set up provisioned concurrency configuration for each Lambda function to point to the corresponding alias.
D. Move all the initialization code to the handlers for each Lambda function. Activate Lambda SnapStart for each Lambda function. Configure SnapStart to reference the $LATEST version of each Lambda function.

Answer: A

Explanation:
Same scenario as above-cost-effective cold start reduction for Java Lambdas is best achieved by using Lambda SnapStart with the correct code structure. Unique IDs and similar non-deterministic logic should be in the handler or in a pre-snapshot hook. SnapStart is supported only for published versions. This combination offers cold start performance at a lower cost than provisioned concurrency.
AWS Documentation Extract:
"When using Lambda SnapStart for Java, ensure non-deterministic initialization code, such as unique ID generators, is executed inside the handler or in a pre-snapshot hook. SnapStart is supported only on published versions." (Source: AWS Lambda documentation, SnapStart for Java) Reference: AWS Certified Solutions Architect - Official Study Guide, Lambda Performance Section.

NEW QUESTION # 544
A company is using AWS Identity and Access Management (IAM) Access Analyzer to refine IAM permissions for employee users. The company uses an organization in AWS Organizations and AWS Control Tower to manage its AWS accounts. The company has designated a specific member account as an audit account.
A solutions architect needs to set up IAM Access Analyzer to aggregate findings from all member accounts in the audit account.
What is the first step the solutions architect should take?

A. Add a new trust policy that includes permissions to allow IAM Access Analyzer to perform sts:
AssumeRole actions. Modify the permissions policy to allow IAM Access Analyzer to generate policies.
B. Use AWS CloudTrail to configure one trail for all accounts. Create an Amazon S3 bucket in the audit account. Configure the trail to send logs related to access activity to the new S3 bucket in the audit account.
C. Create an Amazon S3 bucket in the audit account. Generate a new permissions policy, and add a service role to the policy to give IAM Access Analyzer access to AWS CloudTrail and the S3 bucket in the audit account.
D. Configure a delegated administrator account for IAM Access Analyzer in the AWS Control Tower management account. In the delegated administrator account for IAM Access Analyzer, specify the AWS account ID of the audit account.

Answer: D

Explanation:
The first step is to configure a delegated administrator account for IAM Access Analyzer at the organization level. Only after delegating the administrator account can you aggregate Access Analyzer findings from all member accounts into a designated audit account. This must be set up in the AWS Organizations management account.
AWS Documentation Extract:
"You must designate a delegated administrator for IAM Access Analyzer at the organization level. The delegated administrator account aggregates findings from all member accounts." (Source: IAM Access Analyzer documentation) A, C, D: These steps do not establish the organization-wide aggregation required for Access Analyzer.
Reference: AWS Certified Solutions Architect - Official Study Guide, Access Analyzer Delegation.

NEW QUESTION # 545
A company tracks customer satisfaction by using surveys that the company hosts on its website. The surveys sometimes reach thousands of customers every hour. Survey results are currently sent in email messages to the company so company employees can manually review results and assess customer sentiment.
The company wants to automate the customer survey process. Survey results must be available for the previous 12 months.
Which solution will meet these requirements in the MOST scalable way?

A. Send the survey results data to an API that is running on an Amazon EC2 instance. Configure the API to store the survey results as a new record in an Amazon DynamoDB table, call Amazon Comprehend for sentiment analysis, and save the results in a second DynamoDB table. Set the TTL for all records to
365 days in the future.
B. Write the survey results data to an Amazon S3 bucket. Use S3 Event Notifications to invoke an AWS Lambda function to read the data and call Amazon Rekognition for sentiment analysis. Store the sentiment analysis results in a second S3 bucket. Use S3 Lifecycle policies on each bucket to expire objects after 365 days.
C. Send the survey results data to an Amazon API Gateway endpoint that is connected to an Amazon Simple Queue Service (Amazon SQS) queue. Configure the SQS queue to invoke an AWS Lambda function that calls Amazon Lex for sentiment analysis and saves the results to an Amazon DynamoDB table. Set the TTL for all records to 365 days in the future.
D. Send the survey results data to an Amazon API Gateway endpoint that is connected to an Amazon Simple Queue Service (Amazon SQS) queue. Create an AWS Lambda function to poll the SQS queue, call Amazon Comprehend for sentiment analysis, and save the results to an Amazon DynamoDB table.
Set the TTL for all records to 365 days in the future.

Answer: D

Explanation:
This solution is the most scalable and efficient way to handle large volumes of survey data while automating sentiment analysis:
* API Gateway and SQS: The survey results are sent to API Gateway, which forwards the data to an SQS queue. SQS can handle large volumes of messages and ensures that messages are not lost.
* AWS Lambda: Lambda is triggered by polling the SQS queue, where it processes the survey data.
* Amazon Comprehend: Comprehend is used for sentiment analysis, providing insights into customer satisfaction.
* DynamoDB with TTL: Results are stored in DynamoDB with a Time to Live (TTL) attribute set to expire after 365 days, automatically removing old data and reducing storage costs.
* Option B (EC2 API): Running an API on EC2 requires more maintenance and scalability management compared to API Gateway.
* Option C (S3 and Rekognition): Amazon Rekognition is for image and video analysis, not sentiment analysis.
* Option D (Amazon Lex): Amazon Lex is used for building conversational interfaces, not sentiment analysis.
AWS References:
* Amazon Comprehend for Sentiment Analysis
* Amazon SQS
* DynamoDB TTL

NEW QUESTION # 546
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