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Microsoft Exam DP-600 Topic 1 Question 3 Discussion

Actual exam question for Microsoft's DP-600 exam
Question #: 3
Topic #: 1
[All DP-600 Questions]

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.

Show Suggested Answer Hide Answer
Suggested Answer: A, B

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

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Ming
5 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
6 months ago
What about query caching? I heard that can also improve query performance.
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Taryn
6 months ago
I agree with Frederick, user-defined aggregations can be really helpful in this case.
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Frederick
6 months ago
I think we can use user-defined aggregations to help reduce query execution time.
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Glory
6 months ago
Yes, automatic aggregation could be another great feature to consider for faster query execution.
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Sherman
6 months ago
I think automatic aggregation could also be useful for improving performance.
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Margret
6 months ago
User-defined aggregations could also be a good option to reduce query time.
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Antonio
7 months ago
What about user-defined aggregations? Would that be helpful too?
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Glory
7 months ago
I agree with Margret. Query caching can definitely improve performance.
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Margret
7 months ago
I think query caching could help reduce the query execution time.
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Skye
8 months 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
7 months ago
Sounds like a plan. Let's see how much we can optimize Report1.
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Timmy
7 months ago
Great, let's go ahead and implement user-defined aggregations and query caching.
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Alethea
7 months ago
Absolutely, those are the best options for reducing query execution time.
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Vallie
7 months ago
So, we're both on the same page with these two features then?
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Hana
7 months ago
And user-defined aggregations can definitely improve performance too.
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Essie
7 months ago
I think query caching could really help speed up the visuals.
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Margarett
8 months ago
Agreed, OneLake integration does sound a bit out there.
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Santos
8 months 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
8 months 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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Leontine
8 months ago
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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