Microsoft Exam DP-420 Topic 9 Question 46 Discussion

Actual exam question for Microsoft's DP-420 exam

Question #: 46
Topic #: 9

You have a container m an Azure Cosmos DB for NoSQL account. The container stores data about families. Data about parents, children, and pets are stored as separate documents.

Each document contains the address of each family. Members of the same family share the same partition key named family Id

You need to update the address for each member of the same family that share the same address. The solution must meet the following requirements:

* Be atomic consistent isolated, and durable (ACID).

* Provide the lowest latency.

What should you do?

AUpdate the document of each family member by using a transactional batch operation.

BUpdate the document of each family member separately by using a patch operation.

CUpdate the document of each family member separately and set the consistency level to strong.

Show Suggested Answer

Suggested Answer: A

by Stacey at Aug 28, 2024, 05:00 PM

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Stephen

1 months ago

I'm surprised they didn't include an option to send the family a strongly worded letter about updating their address. That would be the most efficient solution, right?

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Hillary

16 days ago

C) Update the document of each family member separately and set the consistency level to strong.

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Marion

21 days ago

B) No, that would not meet the requirements for ACID compliance and low latency.

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Keith

30 days ago

A) Update the document of each family member by using a transactional batch operation.

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Norah

1 months ago

Option A is the clear winner here. Transactional batch updates are the way to go for this scenario.

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Kattie

2 months ago

Option C is a bit overkill. Strong consistency is not necessary for this use case, and will likely add unnecessary overhead.

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Reid

24 days ago

A) Yes, it would be the most efficient way to update the address for all family members with the same address.

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Oren

27 days ago

B) I agree, using a transactional batch operation would ensure atomicity and consistency.

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Izetta

30 days ago

A) Update the document of each family member by using a transactional batch operation.

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Sharen

2 months ago

I think updating separately with strong consistency level could lead to higher latency. Transactional batch operation seems like the best choice for ACID compliance and low latency.

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Carol

2 months ago

Definitely Option A. Batched updates are the fastest way to update all family members consistently.

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Shasta

9 days ago

Batch operations help reduce latency and improve performance.

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Shawnta

10 days ago

It's important to maintain data integrity when updating multiple documents.

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Maia

14 days ago

I agree, using a transactional batch operation ensures atomicity and consistency.

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Emerson

1 months ago

Option A. Batched updates are the fastest way to update all family members consistently.

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Melodie

2 months ago

I'd go with Option B. Separate patch operations are more flexible and easier to maintain than a single batch update.

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Glory

1 months ago

I agree. Option B seems like the best choice for updating the address for each member of the same family.

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Glory

2 months ago

I'd go with Option B. Separate patch operations are more flexible and easier to maintain than a single batch update.

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Gail

2 months ago

I disagree. Updating the document of each family member separately with strong consistency level may provide better performance.

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Elfrieda

2 months ago

Option A sounds the way to go. Updating family members in a transactional batch operation ensures ACID compliance and minimizes latency.

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Gerald

2 months ago

Option A sounds the way to go. Updating family members in a transactional batch operation ensures ACID compliance and minimizes latency.

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Raymon

2 months ago

A) Update the document of each family member by using a transactional batch operation.

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Adell

2 months ago

I agree with Ilene. Using a transactional batch operation ensures atomicity and consistency.

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Ilene

2 months ago

I think we should update the document of each family member by using a transactional batch operation.

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