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NEW QUESTION 20
A company has an internet-facing application that runs on premises. The application contains mostly user-generated content. The data is stored in an on-premises network-attached storage system. The company wants to archive this data annually and has chosen to move the archival data to Amazon S3. The company needs a solution to migrate the archival data into an S3 bucket.
Which solution will meet these requirements?

• A. Use AWS Transfer Family. Use an SFTP client to serially transfer the data from the on-premises environment to Amazon S3.
• B. Use Amazon S3 Transfer Acceleration. Use a third-party backup utility to replicate the data from the on-premises environment to Amazon S3.
• C. Use AWS Storage Gateway Volume Gateway. Cache the data, and then replicate the data from the on-premises environment to Amazon S3.
• D. Use AWS DataSync. Create a configuration to replicate the data from the on-premises environment to Amazon S3.

Answer: D

NEW QUESTION 21
A company designed a stateless two-tier application that uses Amazon EC2 in a single Availability Zone and an Amazon RDS Multi-AZ DB instance. New company management wants to ensure the application is highly available.
What should a solutions architect do to meet this requirement?

• A. Configure the application to use Multi-AZ EC2 Auto Scaling and create an Application Load Balancer.
• B. Configure the application to use Amazon Route 53 latency-based routing to feed requests to the application.
• C. Configure the application to take snapshots of the EC2 instances and send them to a different AWS Regan
• D. Configure Amazon Route S3 rules to handle incoming requests and create a Multi-AZ Application Load Balancer.

Answer: A

NEW QUESTION 22
A solutions architect needs to host a high performance computing (HPC) workload in the AWS Cloud The workload will run on hundreds of Amazon EC2 instances and will require parallel access to a shared file system to enable distributed processing of large datasets. Datasets will be accessed across multiple instances simultaneously. The workload requires access latency within 1 ms. After processing has completed, engineers will need access to the dataset for manual postprocessing.
Which solution will meet these requirements?

• A. Configure AWS Resource Access Manager to share an Amazon S3 bucket so that it can be mounted to all instances for processing and postprocessing
• B. Use Amazon FSx for Lustre as a shared file system. Link the file system to an Amazon S3 bucket for postprocessing.
• C. Use Amazon Elastic File System (Amazon EFS) as a shared file system Access the dataset from Amazon EFS.
• D. Mount an Amazon S3 bucket to serve as the shared file system Perform postprocessing directly from the S3 bucket

Answer: C

NEW QUESTION 23
A company has a multi-tier application that runs six front-end web servers in an Amazon EC2 Auto Scaling group in a single Availability Zone behind an Application Load Balancer (ALB) A solutions architect needs to modify the infrastructure to be highly available without modifying the application Which architecture should the solutions architect choose that provides high availability?

• A. Create an Auto Scaling group that uses three instances across each of two Regions
• B. Modify the Auto Scaling group to use three instances across each of two Availability Zones
• C. Change the ALB in front of the Amazon EC2 instances in a round-robin configuration to balance traffic to the web tier
• D. Create an Auto Scaling template that can be used to quickly create more instances in another Region

Answer: B

Explanation:
Explanation
https://docs.aws.amazon.com/autoscaling/ec2/userguide/as-add-availability-zone.html Expanding Your Scaled and Load-Balanced Application to an Additional Availability Zone When one Availability Zone becomes unhealthy or unavailable, Amazon EC2 Auto Scaling launches new instances in an unaffected zone. When the unhealthy Availability Zone returns to a healthy state, Amazon EC2 Auto Scaling automatically redistributes the application instances evenly across all of the zones for your Auto Scaling group. Amazon EC2 Auto Scaling does this by attempting to launch new instances in the Availability Zone with the fewest instances. If the attempt fails, however, Amazon EC2 Auto Scaling attempts to launch in other Availability Zones until it succeeds.
You can expand the availability of your scaled and load-balanced application by adding an Availability Zone to your Auto Scaling group and then enabling that zone for your load balancer. After you've enabled the new Availability Zone, the load balancer begins to route traffic equally among all the enabled zones.
https://docs.aws.amazon.com/autoscaling/ec2/userguide/as-add-availability-zone.html

NEW QUESTION 24
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