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NEW QUESTION: 1

A. Option A
B. Option B
C. Option C
D. Option D
E. Option E
Answer: C

NEW QUESTION: 2
An online retail company based in the United States plans to expand its operations to Europe and Asia in the next six months. Its product currently runs on Amazon EC2 instances behind an Application Load Balancer.
The instances run in an Amazon EC2 Auto Scaling group across multiple Availability Zones. All data is stored in an Amazon Aurora database instance.
When the product is deployed in multiple regions, the company wants a single product catalog across all regions, but for compliance purposes, its customer information and purchases must be kept in each region.
How should the company meet these requirements with the LEAST amount of application changes?
A. Use Amazon DynamoDB global tables for the product catalog and regional tables for the customer information and purchases
B. Use Aurora for the product catalog and Amazon DynamoDB global tables for the customer information and purchases.
C. Use Aurora with read replicas for the product catalog and additional local Aurora instances in each region for the customer information and purchases.
D. Use Amazon Redshift for the product catalog and Amazon DynamoDB tables for the customer information and purchases.
Answer: C

NEW QUESTION: 3
You have been tasked with implementing an automated data backup solution for your application servers that run on Amazon EC2 with Amazon EBS volumes. You want to use a distributed data store for your backups to avoid single points of failure and to increase the durability of the data. Daily backups should be retained for 30 days so that you can restore data within an hour.
How can you implement this through a script that a scheduling deamon runs daily on the application servers?
A. Write the script to call the ec2-create-snapshot API, and tag the Amazon EBS snapshot with the current date-time group. Use the ec2-describe-snapshot API to enumerate existing Amazon EBS snapshots. Call the ec2-delete-snapshot API to prune Amazon EBs snapshots that are tagged with a date-time group older than 30 days
B. Write the script to call the ec2-create-volume API, tag the Amazon EBS volume with the current date-time group, and use the ec2-copy-snapshot API to backup data to the new Amazon EBS volume.
Use the ec2-describe-snapshot API to enumerate existing backup volumes. Call the ec2- delete-snapshot API to prune backup Amazon EBS volumes that are tagged with a date-time group older than 30 days
C. Write the script to call the ec2-create-volume API, tag the Amazon EBS volume with the current data time group, and copy backup data to a second Amazon EBS volume. Use the ec2-describe- volumes API to enumerate existing backup volumes. Call the ec2-delete-volume API to prune backup volumes that are tagged with a date-time group older than 30 days
D. Write the script to call the Amazon Glacier upload archive API, and tag the backup archive with the current date-time group. Use the list vaults API to enumerate existing backup archives. Call the delete vault API to prune backup archives that are tagged with a date-time group older than
30 days
Answer: A

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