Microsoft DP-420 Exam - Topic 8 Question 30 Discussion

Actual exam question for Microsoft's DP-420 exam

Question #: 30
Topic #: 8

Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.

After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.

You have a container named container1 in an Azure Cosmos DB Core (SQL) API account.

You need to make the contents of container1 available as reference data for an Azure Stream Analytics job.

Solution: You create an Azure Data Factory pipeline that uses Azure Cosmos DB Core (SQL) API as the input and Azure Blob Storage as the output.

Does this meet the goal?

AYes

BNo

Show Suggested Answer

Suggested Answer: B, C

by Adell at Dec 24, 2023, 06:55 AM

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Rodrigo

10 months ago

Wait, can you really use Blob Storage as a middleman like that?

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Aron

10 months ago

Sounds good, but what about data latency issues?

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Florencia

10 months ago

I’m not so sure, isn’t there a direct way to connect Cosmos DB to Stream Analytics?

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Hannah

10 months ago

Totally agree, that should work for moving data!

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Becky

10 months ago

This solution uses Azure Data Factory, which is a valid approach.

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Holley

11 months ago

I'm a bit confused about the requirements. If the goal is just to make the data available, then maybe this solution is fine, but I feel like there might be a more direct method.

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Alpha

11 months ago

My notes mention that Stream Analytics can directly read from Cosmos DB, so I'm leaning towards saying this solution might not meet the goal.

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Lisbeth

11 months ago

I remember a practice question where we had to use Azure Functions instead of Data Factory. I wonder if that's a better approach here.

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Xochitl

11 months ago

I think using Azure Data Factory to move data to Blob Storage could work, but I'm not entirely sure if that's the best way to make it available for Stream Analytics.

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Jeff

11 months ago

I'm a bit confused by the wording of the question. It mentions that we won't be able to return to this question, so I want to make sure I understand the requirements fully before answering. Let me re-read the question and think through any potential alternative solutions that might be worth considering.

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Gracia

11 months ago

Hmm, I'm a bit unsure about this one. The question mentions that there might be multiple correct solutions, so I want to make sure I'm not missing something. I'll double-check the requirements and see if there are any other ways to approach this that might be more efficient or better align with the goals.

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Lynda

11 months ago

This looks like a straightforward question. I'll start by reviewing the requirements - we need to make the contents of container1 in Cosmos DB available as reference data for an Azure Stream Analytics job. The solution provided is to create an Azure Data Factory pipeline that uses Cosmos DB as the input and Blob Storage as the output. I think this should meet the goal, so I'll select "Yes".

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Eleonora

11 months ago

Okay, I think I've got a handle on this. The key is to make the Cosmos DB data available as reference data for the Stream Analytics job. The solution provided seems like a reasonable approach, as it involves moving the data from Cosmos DB to Blob Storage, which could then be used as a reference data source for the Stream Analytics job. I'll go with "Yes" on this one.

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Dong

11 months ago

Easy peasy! No changes needed to the manifests, the Kubernetes objects will be automatically discovered by Cisco ACI. As long as the integration is set up properly, this should just work.

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Ligia

11 months ago

Scripts, APIs, or XML - those all seem like reasonable options for how the management plane might interact with hypervisors. I'll have to weigh the pros and cons of each.

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Naomi

12 months ago

This looks like a tricky question. I'll need to carefully read through the code fragment and the answer choices to figure out the right approach.

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Luis

1 year ago

I bet the person who came up with this solution has a secret fetish for extra steps in their cloud architecture.

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France

1 year ago

User 3: Yes

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Jenise

1 year ago

User 2: No

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Lizbeth

1 year ago

User 1: Yes

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Vinnie

1 year ago

Haha, using Data Factory to move data from Cosmos DB to Blob Storage? That's like taking the long way around to get to the store just down the street.

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Carin

1 year ago

This solution seems overly complicated. Why not just use the Cosmos DB input option in the Azure Stream Analytics job? That would be the most straightforward way to achieve the goal.

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Gilma

1 year ago

User 3: I agree with An, using the Cosmos DB input option in Azure Stream Analytics would be simpler.

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An

1 year ago

User 2: No

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Mauricio

1 year ago

User 1: Yes

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Keshia

1 year ago

I'm not sure if this solution meets the goal. Wouldn't it be simpler to just use the Cosmos DB input option in the Azure Stream Analytics job directly?

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Teddy

1 year ago

User 3: I agree with Teddy, it would be simpler to use the Cosmos DB input option directly.

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Shawnta

1 year ago

User 2: No

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Cruz

1 year ago

User 1: Yes

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German

1 year ago

The solution involves using Azure Data Factory to move data from Cosmos DB to Blob Storage, which doesn't seem to be the most direct way to make the data available for the Azure Stream Analytics job.

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