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Microsoft Exam DP-203 Topic 2 Question 97 Discussion

Actual exam question for Microsoft's DP-203 exam
Question #: 97
Topic #: 2
[All DP-203 Questions]

You have an Azure subscription that contains an Azure Synapse Analytics dedicated SQL pool named Pool1. Pool1 receives new data once every 24 hours.

You have the following function.

You have the following query.

The query is executed once every 15 minutes and the @parameter value is set to the current date.

You need to minimize the time it takes for the query to return results.

Which two actions should you perform? Each correct answer presents part of the solution.

NOTE: Each correct selection is worth one point.

Show Suggested Answer Hide Answer
Suggested Answer: A, B

Contribute your Thoughts:

Aleisha
2 months ago
Indexing the columns? Sounds like a real snoozefest. I'd rather just wait for the results to come back and then take a nap. Who needs performance when you've got time on your hands?
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Lindsay
2 months ago
E) Change the table distribution to replicate is an interesting option, but I'm not sure it would be the most effective in this case. Replicating the table might be overkill.
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Jerry
2 months ago
D) Enable result set caching is a good idea too, especially since the query is executed every 15 minutes and the data is updated daily. This can help reduce the time to return results.
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Sanjuana
21 days ago
E) Change the table distribution to replicate.
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Werner
25 days ago
D) Enable result set caching.
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Dulce
1 months ago
C) Create an index on the sensorid column.
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Kris
1 months ago
A) Create an index on the avg_f column.
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Jesusita
2 months ago
I think B) Convert the avg_c column into a calculated column is also a good option. This can potentially reduce the amount of data that needs to be processed.
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Tamar
23 days ago
Enabling result set caching could be another way to minimize the time it takes for the query to return results.
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Blondell
1 months ago
Creating an index on the sensorid column might also improve the query performance.
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An
2 months ago
I agree, converting the avg_c column into a calculated column could help optimize the query.
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Xuan
3 months ago
I believe enabling result set caching could also be beneficial in reducing query time. It's worth considering.
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Juliann
3 months ago
I agree with Bok. Creating an index on the avg_f column will definitely help minimize query time.
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Bok
3 months ago
I think we should create an index on the avg_f column to improve query performance.
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Belen
3 months ago
The correct answers are A) Create an index on the avg_f column, and C) Create an index on the sensorid column. Indexing the columns used in the query can significantly improve query performance.
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Chantell
2 months ago
Changing the table distribution to replicate might be another option to consider.
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Chaya
2 months ago
Enabling result set caching could also help minimize query time.
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Fanny
2 months ago
I agree, indexing the sensorid column will also improve performance.
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Brett
2 months ago
Creating an index on the avg_f column will help speed up the query.
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