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Microsoft PL-300 Exam - Topic 13 Question 3 Discussion

ion have a Power BI dataset that contains a table named Temperature Readings. Temperature Readings contains the columns shown in the following table.The table has 12 million rows. All the columns are needed for analysis.You need to optimize the dataset to decrease the model size. The solution must not affect the precision of the data.What should you do?
B) Disable the Power Query load.
A) Split the DateTime column into separate date and time columns.
C) Round the Longitude column two decimal places.
D) Change the data type of the TempCelsius column to Integer

Microsoft PL-300 Exam - Topic 13 Question 3 Discussion

Actual exam question for Microsoft's PL-300 exam
Question #: 3
Topic #: 13
[All PL-300 Questions]

ion have a Power BI dataset that contains a table named Temperature Readings. Temperature Readings contains the columns shown in the following table.

The table has 12 million rows. All the columns are needed for analysis.

You need to optimize the dataset to decrease the model size. The solution must not affect the precision of the data.

What should you do?

Show Suggested Answer Hide Answer
Suggested Answer: B

Disable Power Query load.

Power Query queries that are intended support data integration with other queries should not be loaded to the model. To avoid loading the query to the model, take care to ensure that you disable query load in these instances.


https://docs.microsoft.com/en-us/power-bi/guidance/import-modeling-data-reduction#disable-power-query-query-load

by Kallie at May 09, 2022, 09:07 AM

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Devora
10 months ago
Disabling Power Query load is a good idea too!
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Alyce
10 months ago
Wait, does rounding really not affect precision?
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Chandra
10 months ago
Changing TempCelsius to Integer sounds smart!
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Ming
10 months ago
I disagree, rounding Longitude won't help much.
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Eva
11 months ago
Splitting DateTime can save space!
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Alona
11 months ago
Changing TempCelsius to Integer seems like a good option, but I’m worried it might lose some detail in the data.
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Annita
11 months ago
Disabling Power Query load sounds familiar, but I feel like that might not be the right approach for this question.
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Ilona
11 months ago
I think rounding the Longitude column could reduce size, but I’m not certain if it would affect precision.
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Gwen
11 months ago
I remember something about splitting columns, but I'm not sure if separating DateTime would really help with size.
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Van
11 months ago
Okay, I think I've got a good handle on credit shelter trusts. Let me analyze each option and see which ones align with what I know.
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Justine
11 months ago
I'm a bit confused by the wording of this question. What exactly do they mean by "correlate the LUN of the data disks to the volume of the virtual machines"? I'll need to think this through carefully.
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Benedict
11 months ago
Hmm, I'm a bit confused about the different metric kinds and value types. I'll need to review the details on those before I can confidently select the right approach. Maybe I'll take a closer look at the Stackdriver documentation.
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Ariel
11 months ago
I feel like I came across the number 10 during my review, but it's so confusing!
upvoted 0 times
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