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A company uses AWS WAF to protect its cloud infrastructure. A DevOps engineer needs to give an operations team the ability to analyze log messages from AWS WAR. The operations team needs to be able to create alarms for specific patterns in the log output. Which solution will meet these requirements with the LEAST operational overhead?
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A company has an organization in AWS Organizations. A DevOps engineer needs to maintain multiple AWS accounts that belong to different OUs in the organization. All resources, including IAM policies and Amazon S3 policies within an account, are deployed through AWS CloudFormation. All templates and code are maintained in an AWS CodeCommit repository Recently, some developers have not been able to access an S3 bucket from some accounts in the organization. The following policy is attached to the S3 bucket. What should the DevOps engineer do to resolve this access issue?
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Question 64 - DOP-C02 discussion

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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 Redshift for the product catalog and Amazon DynamoDB tables for the customer information and purchases.
Answers
A.
Use Amazon Redshift for the product catalog and Amazon DynamoDB tables for the customer information and purchases.
B.
Use Amazon DynamoDB global tables for the product catalog and regional tables for the customer information and purchases.
Answers
B.
Use Amazon DynamoDB global tables for the product catalog and regional 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.
Answers
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 Aurora for the product catalog and Amazon DynamoDB global tables for the customer information and purchases.
Answers
D.
Use Aurora for the product catalog and Amazon DynamoDB global tables for the customer information and purchases.
Suggested answer: C
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asked 16/09/2024
Ryan Shannon
37 questions
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