The most resource-efficient solution for a financial services company to meet compliance requirements for storing multiple copies of data in geographically distant locations using Amazon S3 is to use S3 cross-region replication (S3 CRR).

Here's why:

a. S3 same-region replication (S3 SRR) is not the best solution because it only replicates data within the same region. The requirement is to store data in geographically distant locations.

b. Triggering an AWS Lambda function for every new object to write data to another Region could work, but it's not the most resource-efficient solution. It would require additional compute resources (Lambda) and could potentially be slower due to the latency of triggering and executing the Lambda function for each new object.

c. Running a daily job on an EC2 instance to copy objects to another Region is also not the most resource-efficient solution. It would require an EC2 instance running continuously, which could be costly. It also only runs once a day, so it wouldn't be as up-to-date as the other solutions.

d. S3 cross-region replication (S3 CRR) is the most resource-efficient solution. It automatically and asynchronously replicates objects across different regions. This meets the requirement of storing data in geographically distant locations, and it does so without the need for additional compute resources or manual intervention.

Question

The most resource-efficient solution for a financial services company to meet compliance requirements for storing multiple copies of data in geographically distant locations using Amazon S3 is to use S3 cross-region replication (S3 CRR).

Here's why:

a. S3 same-region replication (S3 SRR) is not the best solution because it only replicates data within the same region. The requirement is to store data in geographically distant locations.

b. Triggering an AWS Lambda function for every new object to write data to another Region could work, but it's not the most resource-efficient solution. It would require additional compute resources (Lambda) and could potentially be slower due to the latency of triggering and executing the Lambda function for each new object.

c. Running a daily job on an EC2 instance to copy objects to another Region is also not the most resource-efficient solution. It would require an EC2 instance running continuously, which could be costly. It also only runs once a day, so it wouldn't be as up-to-date as the other solutions.

d. S3 cross-region replication (S3 CRR) is the most resource-efficient solution. It automatically and asynchronously replicates objects across different regions. This meets the requirement of storing data in geographically distant locations, and it does so without the need for additional compute resources or manual intervention.

Knowee AI · Accepted Answer

The most resource-efficient solution for a financial services company to meet compliance requirements for storing multiple copies of data in geographically distant locations using Amazon S3 is to use S3 cross-region replication (S3 CRR).

Here's why:

a. S3 same-region replication (S3 SRR) is not the best solution because it only replicates data within the same region. The requirement is to store data in geographically distant locations.

b. Triggering an AWS Lambda function for every new object to write data to another Region could work, but it's not the most resource-efficient solution. It would require additional compute resources (Lambda) and could potentially be slower due to the latency of triggering and executing the Lambda function for each new object.

c. Running a daily job on an EC2 instance to copy objects to another Region is also not the most resource-efficient solution. It would require an EC2 instance running continuously, which could be costly. It also only runs once a day, so it wouldn't be as up-to-date as the other solutions.

d. S3 cross-region replication (S3 CRR) is the most resource-efficient solution. It automatically and asynchronously replicates objects across different regions. This meets the requirement of storing data in geographically distant locations, and it does so without the need for additional compute resources or manual intervention.

Question

Solution

Similar Questions

Upgrade your grade with Knowee