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Question 163

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?

    Correct Answer: C

    To increase the likelihood that anomaly detection will identify anomalies in a Power BI report, you should increase the Sensitivity setting. Increasing the sensitivity makes the anomaly detection algorithm more sensitive to changes in the data, which means it will identify even slight deviations as anomalies. This increases the chances of detecting anomalies in the report.

Discussion
simplex06Option: C

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

June15Option: C

Should be C.

SanaCanadaOption: C

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

28485e1

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.

JohnChungOption: C

Should be C, should not be A. Increase the Expected range transparency will decrease the likelihood of anomalies.

ClodiaOption: C

C is correct

INDEAVROption: C

Correct is C

June15Option: C

Should be C

princieOption: C

According to Microsoft web link given in the answer explanation, the correct answer should be ‘increase sensitivity’ option C

EMMALEEEEEEEEEOption: C

I would go C

sher72Option: C

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.

DANIELOption: C

Is C being more sensitive to something will reveal more about it… common sense right ?

dnbcursuriOption: C

C is the correct answer

Patrick666Option: C

Increase the Sensitivity setting.

lukelin08Option: C

C is the correct answer

SmyrolOption: C

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

shahrzadkhbOption: C

If you increase sensitivity, even a slight deviation is marked as an anomaly. So the correct answer would be increase the sensitivity.

Bin_HashimOption: C

it must be C..