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Exam question from Amazon's AWS Certified Solutions Architect - Professional

Question #: 59
Topic #: 1

[All AWS Certified Solutions Architect - Professional Questions]

An International company has deployed a multi-tier web application that relies on DynamoDB in a single region. For regulatory reasons they need disaster recovery capability in a separate region with a Recovery Time Objective of 2 hours and a Recovery Point Objective of 24 hours. They should synchronize their data on a regular basis and be able to provision me web application rapidly using CloudFormation.
The objective is to minimize changes to the existing web application, control the throughput of DynamoDB used for the synchronization of data and synchronize only the modified elements.
Which design would you choose to meet these requirements?

A. Use AWS data Pipeline to schedule a DynamoDB cross region copy once a day, create a ג€Lastupdatedג€ attribute in your DynamoDB table that would represent the timestamp of the last update and use it as a filter.
B. Use EMR and write a custom script to retrieve data from DynamoDB in the current region using a SCAN operation and push it to DynamoDB in the second region.
C. Use AWS data Pipeline to schedule an export of the DynamoDB table to S3 in the current region once a day then schedule another task immediately after it that will import data from S3 to DynamoDB in the other region.
D. Send also each Ante into an SQS queue in me second region; use an auto-scaling group behind the SQS queue to replay the write in the second region.

Show Suggested Answer

Suggested Answer: A 🗳️

by cldy at April 1, 2021, 8:19 a.m.

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Comments

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student22

7 months, 3 weeks ago

Selected Answer: A

A is the only solution that supports the requirement "synchronize only the modified elements".

upvoted 1 times

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amministrazione

10 months, 2 weeks ago

A. Use AWS data Pipeline to schedule a DynamoDB cross region copy once a day, create a Lastupdated attribute in your DynamoDB table that would represent the timestamp of the last update and use it as a filter.

upvoted 1 times

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tototo12

1 year, 5 months ago

Selected Answer: A

answer A

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TravelKo

1 year, 11 months ago

Selected Answer: A

I will go with option A. We don't know number of changes in a day from the question. it could be 0 or millions. Why to export the whole table?

upvoted 1 times

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SkyZeroZx

2 years ago

Selected Answer: C

The best design for this scenario is C. This design meets all of the requirements: It uses AWS Data Pipeline to schedule an export of the DynamoDB table to S3 in the current region once a day. This ensures that the data is synchronized on a regular basis. It schedules another task immediately after it that will import data from S3 to DynamoDB in the other region. This ensures that the data is synchronized in both regions. It uses a LastUpdated attribute in the DynamoDB table to represent the timestamp of the last update. This allows the Data Pipeline to only export the modified elements. It uses S3 as a staging area. This helps to control the throughput of DynamoDB and prevents the table from becoming overloaded.

upvoted 1 times

SkyZeroZx

2 years ago

This design would allow the company to meet their disaster recovery requirements while minimizing changes to the existing web application. The data would be synchronized on a regular basis, and only the modified elements would be exported. The throughput of DynamoDB would be controlled, and the data could be replayed even if the auto-scaling group is scaled down. Here are some additional considerations for this design: The frequency of the data synchronization should be based on the regulatory requirements. The size of the DynamoDB table should be considered when determining the capacity of the S3 bucket. The Data Pipeline job should be configured to retry if it fails.

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SkyZeroZx

2 years ago

Both ChatGPT and Bard agree that C seems to me the most viable option as explained

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SkyZeroZx

2 years ago

The other designs are not as suitable for this scenario. For example, design A only synchronizes the data once a day, which is not enough for regulatory reasons. Design B uses EMR, which is more complex and expensive than Data Pipeline. Therefore, the best design for this scenario is C. Here are some additional details about the design: The Data Pipeline job would use the LastUpdated attribute to filter the data that is exported. This would ensure that only the modified elements are exported. The S3 bucket would be configured to have a high throughput. This would ensure that the data can be exported without overloading the DynamoDB table. The Data Pipeline job would also import the data from S3 to DynamoDB in the other region. This would ensure that the data is synchronized in both regions.

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Jesuisleon

2 years, 1 month ago

Selected Answer: A

I think A.

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hahaaaaa

2 years, 11 months ago

I think A. Requirements: "to synchronize only updated parts." A. CRR: continuously replicate changes from a DynamoDB table. C. export/import : backup the entire contents of DynamoDB table.

upvoted 3 times

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bobsmith2000

3 years, 2 months ago

Selected Answer: C

It can't be A! There's no such an option in data pipeline templates any more! It's not mentioned in documentation as well. There are two options in templates: 1) Export DynamoDB table to S3 2) Import DynamoDB backup data from S3 That's it! So the only thing that has left is C. Import and export

upvoted 1 times

wassb

2 years, 8 months ago

I believe that wont satisfy the RPO of 24h

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cldy

3 years, 6 months ago

A. Use AWS data Pipeline to schedule a DynamoDB cross region copy once a day, create a ג€Lastupdatedג€ attribute in your DynamoDB table that would represent the timestamp of the last update and use it as a filter.

upvoted 2 times

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