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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.

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Suggested Answer: A, B

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

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Ming
11 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
12 months ago
What about query caching? I heard that can also improve query performance.
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Taryn
12 months ago
I agree with Frederick, user-defined aggregations can be really helpful in this case.
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Frederick
12 months ago
I think we can use user-defined aggregations to help reduce query execution time.
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Glory
12 months ago
Yes, automatic aggregation could be another great feature to consider for faster query execution.
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Sherman
1 years ago
I think automatic aggregation could also be useful for improving performance.
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Margret
1 years ago
User-defined aggregations could also be a good option to reduce query time.
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Antonio
1 years ago
What about user-defined aggregations? Would that be helpful too?
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Glory
1 years 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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Leontine
1 years 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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