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Exam PL-300 topic 3 question 45 discussion

Actual exam question from Microsoft's PL-300
Question #: 45
Topic #: 3
[All PL-300 Questions]

You have a Power BI report. The report contains a visual that shows gross sales by date. The visual has anomaly detection enabled.
No anomalies are detected.
You need to increase the likelihood that anomaly detection will identify anomalies in the report.
What should you do?

  • A. Increase the Expected range transparency setting.
  • B. Add a data field to the Legend field well.
  • C. Increase the Sensitivity setting.
  • D. Add a data field to the Secondary values field well.
Show Suggested Answer Hide Answer
Suggested Answer: C 🗳️

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simplex06
Highly Voted 2 years, 7 months ago
C. Increase the sensitivity If you increase the sensitivity, the algorithm is more sensitive to changes in your data. In that case, even a slight deviation is marked as an anomaly. If you decrease the sensitivity, the algorithm is more selective on what it considers an anomaly. reference: https://docs.microsoft.com/en-us/power-bi/visuals/power-bi-visualization-anomaly-detection
upvoted 46 times
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June15
Highly Voted 2 years, 7 months ago
Selected Answer: C
Should be C.
upvoted 37 times
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jaume
Most Recent 5 months, 1 week ago
Selected Answer: C
Increase sensitivity as explained by rest of colleagues
upvoted 1 times
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rcaliandro
8 months, 2 weeks ago
Selected Answer: C
By increasing the sensitivity, there is more likelihood to detect anomalies. C is the correct answer
upvoted 1 times
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Smyrol
10 months ago
The expected range transparency setting only m,akes the range more or less transparent. E.g. If you use black as expected range color: --0% transarency makes the range 100% black --100% transparency makes the range invisible Sensitivity settings on the other hand makes the range go closer to or futher from the chart's line - therefore this is the correct one
upvoted 2 times
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shahrzadkhb
10 months, 2 weeks ago
Selected Answer: C
If you increase sensitivity, even a slight deviation is marked as an anomaly. So the correct answer would be increase the sensitivity.
upvoted 1 times
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Dani_eL
1 year, 1 month ago
Is C being more sensitive to something will reveal more about it… common sense right ?
upvoted 2 times
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JohnChung
1 year, 4 months ago
Selected Answer: C
Should be C, should not be A. Increase the Expected range transparency will decrease the likelihood of anomalies.
upvoted 4 times
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SanaCanada
2 years, 1 month ago
C. Increase the Sensitivity setting. By increasing the Sensitivity setting, the anomaly detection algorithm will become more sensitive to detecting anomalies, which increases the likelihood of identifying anomalies in the report. The Expected range transparency setting controls the opacity of the expected range, which does not directly affect the anomaly detection. Adding a data field to the Legend field well or the Secondary values field well will only change the way the data is displayed in the visual and will not affect the anomaly detection. No confusion, no need to discuss further
upvoted 6 times
28485e1
1 year, 1 month ago
This is correct. The documentation they reference for their incorrect answer even says so. The range transparency is a visual setting and doesn't change the underlying anomaly detection.
upvoted 1 times
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dnbcursuri
2 years, 1 month ago
Selected Answer: C
C is the correct answer
upvoted 2 times
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Patrick666
2 years, 4 months ago
Increase the Sensitivity setting.
upvoted 2 times
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lukelin08
2 years, 5 months ago
Selected Answer: C
C is the correct answer
upvoted 2 times
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princie
2 years, 5 months ago
According to Microsoft web link given in the answer explanation, the correct answer should be ‘increase sensitivity’ option C
upvoted 3 times
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Clodia
2 years, 6 months ago
Selected Answer: C
C is correct
upvoted 4 times
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INDEAVR
2 years, 6 months ago
Selected Answer: C
Correct is C
upvoted 4 times
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EMMALEEEEEEEEE
2 years, 6 months ago
I would go C
upvoted 3 times
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sher72
2 years, 6 months ago
Should be C If you increase the sensitivity, the algorithm is more sensitive to changes in your data. In that case, even a slight deviation is marked as an anomaly.
upvoted 3 times
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Community vote distribution
A (35%)
C (25%)
B (20%)
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