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Amazon AWS Certified Solutions Architect - Associate (SAA-C03) Exam Sample Questions (Q43-Q48):

NEW QUESTION # 43
A company is deploying a new application on Amazon EC2 instances. The application writes data to Amazon Elastic Block Store (Amazon EBS) volumes. The company needs to ensure that all data that is written to the EBS volumes is encrypted at rest.
Which solution wil meet this requirement?

A. Create an IAM role that specifies EBS encryption. Attach the role to the EC2 instances.
B. Create the EBS volumes as encrypted volumes Attach the EBS volumes to the EC2 instances.
C. Create an AWS Key Management Service (AWS KMS) key policy that enforces EBS encryption in the account Ensure that the key policy is active.
D. Create an EC2 instance tag that has a key of Encrypt and a value of True. Tag all instances that require encryption at the ESS level.

Answer: B

NEW QUESTION # 44
A company has an application that uses multiple EC2 instances located in various AWS regions such as US East (Ohio), US West (N. California), and EU (Ireland). The manager instructed the Solutions Architect to set up a latency-based routing to route incoming traffic for www.tutorialsdojo.com to all the EC2 instances across all AWS regions.
Which of the following options can satisfy the given requirement?

A. Use an Application Load Balancer to distribute the load to the multiple EC2 instances across all AWS Regions.
B. Use a Network Load Balancer to distribute the load to the multiple EC2 instances across all AWS Regions.
C. Use AWS DataSync to distribute the load to the multiple EC2 instances across all AWS Regions.
D. Use Route 53 to distribute the load to the multiple EC2 instances across all AWS Regions.

Answer: D

Explanation:
If your application is hosted in multiple AWS Regions, you can improve performance for your users by serving their requests from the AWS Region that provides the lowest latency.
You can create latency records for your resources in multiple AWS Regions by using latency-based routing. In the event that Route 53 receives a DNS query for your domain or subdomain such as tutorialsdojo.com or portal.tutorialsdojo.com, it determines which AWS Regions you've created latency records for, determines which region gives the user the lowest latency and then selects a latency record for that region. Route 53 responds with the value from the selected record which can be the IP address for a web server or the CNAME of your elastic load balancer.
Hence, using Route 53 to distribute the load to the multiple EC2 instances across all AWS Regions is the correct answer.

Using a Network Load Balancer to distribute the load to the multiple EC2 instances across all AWS Regions and using an Application Load Balancer to distribute the load to the multiple EC2 instances across all AWS Regions are both incorrect because load balancers distribute traffic only within their respective regions and not to other AWS regions by default. Although Network Load Balancers support connections from clients to IP-based targets in peered VPCs across different AWS Regions, the scenario didn't mention that the VPCs are peered with each other. It is best to use Route 53 instead to balance the incoming load to two or more AWS regions more effectively.
Using AWS DataSync to distribute the load to the multiple EC2 instances across all AWS Regions is incorrect because the AWS DataSync service simply provides a fast way to move large amounts of data online between on-premises storage and Amazon S3 or Amazon Elastic File System (Amazon EFS).
References:
https://docs.aws.amazon.com/Route53/latest/DeveloperGuide/routing-policy.html#routing-policy-latency
https://docs.aws.amazon.com/Route53/latest/DeveloperGuide/TutorialAddingLBRRegion.html Check out this Amazon Route 53 Cheat Sheet:
https://tutorialsdojo.com/amazon-route-53/

NEW QUESTION # 45
A company has implemented a self-managed DNS solution on three Amazon EC2 instances behind a Network Load Balancer (NLB) in the us-west-2 Region. Most of the company's users are located in the United States and Europe. The company wants to improve the performance and availability of the solution. The company launches and configures three EC2 instances in the eu-west-1 Region and adds the EC2 instances as targets for a new NLB.
Which solution can the company use to route traffic to all the EC2 instances?

A. Create a standard accelerator in AWS Global Accelerator. Create endpoint groups in us-west-2 and eu-west-1. Add the two NLBs as endpoints for the endpoint groups.
B. Create an Amazon Route 53 geolocation routing policy to route requests to one of the two NLBs. Create an Amazon CloudFront distribution. Use the Route 53 record as the distribution's origin.
C. Attach Elastic IP addresses to the six EC2 instances. Create an Amazon Route 53 geolocation routing policy to route requests to one of the six EC2 instances. Create an Amazon CloudFront distribution. Use the Route 53 record as the distribution's origin.
D. Replace the two NLBs with two Application Load Balancers (ALBs). Create an Amazon Route 53 latency routing policy to route requests to one of the two ALBs. Create an Amazon CloudFront distribution. Use the Route 53 record as the distribution's origin.

Answer: A

Explanation:
Explanation
For standard accelerators, Global Accelerator uses the AWS global network to route traffic to the optimal regional endpoint based on health, client location, and policies that you configure, which increases the availability of your applications. Endpoints for standard accelerators can be Network Load Balancers, Application Load Balancers, Amazon EC2 instances, or Elastic IP addresses that are located in one AWS Region or multiple Regions.
https://docs.aws.amazon.com/global-accelerator/latest/dg/what-is-global-accelerator.html

NEW QUESTION # 46
A payment processing company records all voice communication with its customers and stores the audio files in an Amazon S3 bucket. The company needs to capture the text from the audio files. The company must remove from the text any personally identifiable information (Pll) that belongs to customers.
What should a solutions architect do to meet these requirements?

A. When an audio file is uploaded to the S3 bucket, invoke an AWS Lambda function to start an Amazon Textract task to analyze the call recordings.
B. Configure an Amazon Transcribe transcription job with Pll redaction turned on. When an audio file is uploaded to the S3 bucket, invoke an AWS Lambda function to start the transcription job. Store the output in a separate S3 bucket.
C. Process the audio files by using Amazon Kinesis Video Streams. Use an AWS Lambda function to scan for known Pll patterns.
D. Create an Amazon Connect contact flow that ingests the audio files with transcription turned on. Embed an AWS Lambda function to scan for known Pll patterns. Use Amazon EventBridge (Amazon CloudWatch Events) to start the contact flow when an audio file is uploaded to the S3 bucket.

Answer: B

Explanation:
Explanation
"Sensitive data redaction replaces personally identifiable information (PII) in the text transcript and the audio file. A redacted transcript replaces the original text with [PII]; a redacted audio file replaces spoken personal information with silence. This parameter is useful for protecting customer information."
https://docs.aws.amazon.com/transcribe/latest/dg/call-analytics-insights.html#call-analytics-insights-redaction

NEW QUESTION # 47
A company runs its ecommerce application on AWS. Every new order is published as a message in a RabbitMQ queue that runs on an Amazon EC2 instance in a single Availability Zone. These messages are processed by a different application that runs on a separate EC2 instance. This application stores the details in a PostgreSQL database on another EC2 instance. All the EC2 instances are in the same Availability Zone.
The company needs to redesign its architecture to provide the highest availability with the least operational overhead.
What should a solutions architect do to meet these requirements?

A. Create a Multi-AZ Auto Scaling group for EC2 instances that host the RabbitMQ queue. Create another Multi-AZ Auto Scaling group for EC2 instances that host the application. Create a third Multi-AZ Auto Scaling group for EC2 instances that host the PostgreSQL database.
B. Create a Multi-AZ Auto Scaling group for EC2 instances that host the RabbitMQ queue. Create another Multi-AZ Auto Scaling group for EC2 instances that host the application. Migrate the database to run on a Multi-AZ deployment of Amazon RDS fqjPostgreSQL.
C. Migrate the queue to a redundant pair (active/standby) of RabbitMQ instances on Amazon MQ. Create a Multi-AZ Auto Scaling group (or EC2 instances that host the application. Create another Multi-AZ Auto Scaling group for EC2 instances that host the PostgreSQL database.
D. Migrate the queue to a redundant pair (active/standby) of RabbitMQ instances on Amazon MQ. Create a Multi-AZ Auto Scaling group for EC2 instances that host the application. Migrate the database to run on a Multi-AZ deployment of Amazon RDS for PostgreSQL.

Answer: D

Explanation:
Migrating to Amazon MQ reduces the overhead on the queue management. C and D are dismissed. Deciding between A and B means deciding to go for an AutoScaling group for EC2 or an RDS for Postgress (both multi- AZ). The RDS option has less operational impact, as provide as a service the tools and software required. Consider for instance, the effort to add an additional node like a read replica, to the DB.
https://docs.aws.amazon.com/amazon-mq/latest/developer-guide/active-standby-broker-deployment.html
https://aws.amazon.com/rds/postgresql/

NEW QUESTION # 48
......

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