Microsoft Exam DP-600 Topic 1 Question 3 Discussion

Actual exam question for Microsoft's DP-600 exam

Question #: 3
Topic #: 1

You have a Fabric workspace that contains a DirectQuery semantic model. The model queries a data source that has 500 million rows.

You have a Microsoft Power Bl report named Report1 that uses the model. Report! contains visuals on multiple pages.

You need to reduce the query execution time for the visuals on all the pages.

What are two features that you can use? Each correct answer presents a complete solution.

NOTE: Each correct answer is worth one point.

Auser-defined aggregations

Bautomatic aggregation

Cquery caching

DOneLake integration

Show Suggested Answer

Suggested Answer: A, B

by Danica at Feb 10, 2024, 02:09 PM

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Ming

10 months ago

I believe query caching can be a good option as well, especially with such a large amount of data.

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Mozell

10 months ago

What about query caching? I heard that can also improve query performance.

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Taryn

11 months ago

I agree with Frederick, user-defined aggregations can be really helpful in this case.

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Frederick

11 months ago

I think we can use user-defined aggregations to help reduce query execution time.

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Glory

11 months ago

Yes, automatic aggregation could be another great feature to consider for faster query execution.

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Sherman

11 months ago

I think automatic aggregation could also be useful for improving performance.

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Margret

11 months ago

User-defined aggregations could also be a good option to reduce query time.

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Antonio

12 months ago

What about user-defined aggregations? Would that be helpful too?

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Glory

12 months ago

I agree with Margret. Query caching can definitely improve performance.

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Margret

1 years ago

I think query caching could help reduce the query execution time.

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Skye

1 years ago

Haha, OneLake integration? What is this, a crossword puzzle? I think we can safely rule that one out. User-defined aggregations and query caching are definitely the way to go.

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Carlota

1 years ago

Sounds like a plan. Let's see how much we can optimize Report1.

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Timmy

1 years ago

Great, let's go ahead and implement user-defined aggregations and query caching.

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Alethea

1 years ago

Absolutely, those are the best options for reducing query execution time.

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Vallie

1 years ago

So, we're both on the same page with these two features then?

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Hana

1 years ago

And user-defined aggregations can definitely improve performance too.

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Essie

1 years ago

I think query caching could really help speed up the visuals.

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Margarett

1 years ago

Agreed, OneLake integration does sound a bit out there.

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Santos

1 years ago

Automatic aggregation could work too, but it might not be as flexible as user-defined aggregations. And OneLake integration? I'm not sure that's really relevant here. Seems like a bit of a stretch.

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Paris

1 years ago

Yeah, I agree. Those two features seem like the most logical solutions. User-defined aggregations can help us pre-compute and summarize the data, while query caching can speed up repeated queries.

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Hmm, this is a tricky one. With 500 million rows in the data source, I can see why query execution time would be a concern. I'm thinking user-defined aggregations and query caching might be the way to go.

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Microsoft Exam DP-600 Topic 1 Question 3 Discussion

Contribute your Thoughts:

Ming

Mozell

Taryn

Frederick

Glory

Sherman

Margret

Antonio

Glory

Margret

Skye

Carlota

Timmy

Alethea

Vallie

Hana

Essie

Margarett

Santos

Paris

Leontine