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Amazon AWS Certified Solutions Architect - Associate Sample Questions (Q583-Q588):
NEW QUESTION # 583
A company has a payroll application that runs in the AWS Cloud. The application uses an Amazon Aurora MySQL database cluster for data storage.
The company's auditing team needs to review the last 90 days of payroll data. A solutions architect needs to design a solution to provide the auditing team access to the payroll data.
Which solution will meet these requirements with the MOST operational efficiency?
- A. Use Aurora automated backups. Restore the database by using point-in-time recovery.
- B. Create a backup plan by using AWS Backup with point-in-time recovery. Restore the database by using the backups from the backup vault.
- C. Create a backup plan by using AWS Backup with the daily backup option. Set the retention to 90 days.
Restore the database by using the backups from the backup vault. - D. Create daily manual backups of the Aurora cluster for the last 90 days. Restore the databases by using the backups. Delete the older backup files by using scripted CLI calls.
Answer: C
Explanation:
AWS Backup provides a centralized, fully managed solution to automate and manage backups for a wide range of AWS resources, including Aurora databases. Configuring a backup plan with daily backups and a 90- day retention policy ensures operational efficiency and simplicity for compliance purposes.
Option A:Aurora automated backups support point-in-time recovery but do not provide the operational efficiency of a centralized backup management system like AWS Backup.
Option B:AWS Backup with point-in-time recovery is a valid solution but does not specify daily backups with retention, which is the most operationally efficient approach.
Option C:Manual backups require significant operational overhead to create and delete backups regularly, which is not efficient.
Option D:Using AWS Backup with a daily backup plan and 90-day retention provides an automated and efficient solution.
AWS Documentation References:
AWS Backup Overview
Backing Up Aurora Databases
NEW QUESTION # 584
A company needs to provide a team of contractors with temporary access to the company ' s AWS resources for a short-term project. The contractors need different levels of access to AWS services. The company needs to revoke permissions for all the contractors when the project is finished.
Which solution will meet these requirements with the LEAST operational overhead?
- A. Configure AWS Config rules to monitor the contractors ' access patterns. Use AWS Config rules to automatically revoke permissions that are not in use or that are too permissive.
- B. Use AWS Security Token Service (AWS STS) to generate temporary credentials for the contractors.
Provide the contractors access based on predefined roles. Set the access to automatically expire when the project is finished. - C. Use AWS IAM to create a user account for each contractor. Attach policies that define access levels for the contractors to the user accounts. Manually deactivate the accounts when the project is finished.
- D. Use AWS CloudTrail and custom Amazon EventBridge triggers to audit the contractors ' actions.
Adjust the permissions for each contractor based on activity logs.
Answer: B
Explanation:
AWS STS issues temporary credentials with automatically expiring permissions based on IAM roles. This eliminates the need to manually manage or deactivate IAM users.
"You can use AWS STS to grant temporary security credentials that automatically expire after a specified duration."
- Temporary Security Credentials
This is the least operational overhead and follows AWS best practices for short-term access.
NEW QUESTION # 585
A company runs its applications on Amazon EC2 instances. The company performs periodic financial assessments of itsAWS costs. The company recently identified unusual spending.
The company needs a solution to prevent unusual spending. The solution must monitor costs and notify responsible stakeholders in the event of unusual spending.
Which solution will meet these requirements?
- A. Use Amazon CloudWatch to monitor costs and to identify unusual spending
- B. Use an AWS Budgets template to create a zero spend budget
- C. CreateAWS Pricing Calculator estimates for the current running workload pricing details_
- D. Create an AWS Cost Anomaly Detection monitor in the AWS Billing and Cost Management console.
Answer: D
Explanation:
it allows the company to monitor costs and notify responsible stakeholders in the event of unusual spending. By creating an AWS Cost Anomaly Detection monitor in the AWS Billing and Cost Management console, the company can use a machine learning service that automatically detects and alerts on anomalous spend. By configuring alert thresholds, notification pReference, and root cause analysis, the company can prevent unusual spending and identify its source. Reference:
AWS Cost Anomaly Detection
Creating a Cost Anomaly Monitor
NEW QUESTION # 586
A company has an application that provides marketing services to stores. The services are based on previous purchases by store customers. The stores upload transaction data to the company through SFTP, and the data is processed and analyzed to generate new marketing offers. Some of the files can exceed 200 GB in size.
Recently, the company discovered that some of the stores have uploaded files that contain personally identifiable information (PII) that should not have been included. The company wants administrators to be alerted if PII is shared again. The company also wants to automate remediation.
What should a solutions architect do to meet these requirements with the LEAST development effort?
- A. Use an Amazon S3 bucket as a secure transfer point. Use Amazon Macie to scan the objects in the bucket. If objects contain Pll. Use Amazon Simple Notification Service (Amazon SNS) to trigger a notification to the administrators to remove the objects mat contain Pll.
- B. Implement custom scanning algorithms in an AWS Lambda function. Trigger the function when objects are loaded into the bucket. It objects contain Rll. use Amazon Simple Notification Service (Amazon SNS) to trigger a notification to the administrators to remove the objects that contain Pll.
- C. Use an Amazon S3 bucket as a secure transfer point. Use Amazon Inspector to scan me objects in the bucket. If objects contain Pll. trigger an S3 Lifecycle policy to remove the objects that contain Pll.
- D. Implement custom scanning algorithms in an AWS Lambda function. Trigger the function when objects are loaded into the bucket. If objects contain Pll. use Amazon Simple Email Service (Amazon STS) to trigger a notification to the administrators and trigger on S3 Lifecycle policy to remove the objects mot contain PII.
Answer: A
Explanation:
Explanation
To meet the requirements of detecting and alerting the administrators when PII is shared and automating remediation with the least development effort, the best approach would be to use Amazon S3 bucket as a secure transfer point and scan the objects in the bucket with Amazon Macie. Amazon Macie is a fully managed data security and data privacy service that uses machine learning and pattern matching to discover and protect sensitive data stored in Amazon S3. It can be used to classify sensitive data, monitor access to sensitive data, and automate remediation actions.
In this scenario, after uploading the files to the Amazon S3 bucket, the objects can be scanned for PII by Amazon Macie, and if it detects any PII, it can trigger an Amazon Simple Notification Service (SNS) notification to alert the administrators to remove the objects containing PII. This approach requires the least development effort, as Amazon Macie already has pre-built data classification rules that can detect PII in various formats.
Hence, option B is the correct answer.
References:
* Amazon Macie User Guide: https://docs.aws.amazon.com/macie/latest/userguide/what-is-macie.html
* AWS Well-Architected Framework - Security Pillar:
https://docs.aws.amazon.com/wellarchitected/latest/security-pillar/welcome.html
NEW QUESTION # 587
The company will migrate to an Amazon Elastic Kubernetes Service (Amazon EKS) cluster. The company does not want to manage the underlying compute infrastructure for the new architecture on AWS.
Which solution will meet these requirements with the LEAST operational overhead?
- A. Use a self-managed node to supply compute capacity. Deploy the application to the new EKS cluster.
- B. Use managed node groups to supply compute capacity. Deploy the application to the new EKS cluster.
- C. Use managed node groups with Karpenter to supply compute capacity. Deploy the application to the new EKS cluster.
- D. Use AWS Fargate to supply compute capacity. Create a Fargate profile. Use the Fargate profile to deploy the application.
Answer: D
Explanation:
AWS Fargate is a serverless compute engine for containers that works with Amazon EKS. With Fargate, you do not need to provision or manage EC2 instances or clusters. You simply define and deploy your pods, and Fargate automatically launches the required compute resources. This results in the lowest operational overhead because AWS manages the infrastructure. Fargate profiles allow you to specify which pods run on Fargate.
AWS Documentation Extract:
"AWS Fargate is a serverless, pay-as-you-go compute engine that lets you focus on building applications without managing servers. With Amazon EKS and Fargate, you only need to define your application's pods; Fargate provisions and manages the required compute resources for you." (Source: Amazon EKS documentation, AWS Fargate integration) Other options:
* A: Self-managed nodes require you to manage EC2 instances.
* B: Managed node groups reduce some overhead, but you are still responsible for patching and managing the EC2 instances.
* D: Managed node groups with Karpenter automate scaling but do not remove the need to manage underlying instances.
Reference: AWS Certified Solutions Architect - Official Study Guide, EKS and Fargate Section.
NEW QUESTION # 588
......
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