ExamGecko
Question list
Search
Search

List of questions

Search

Related questions











Question 46 - SPLK-4001 discussion

Report
Export

A customer deals with a holiday rush of traffic during November each year, but does not want to be flooded with alerts when this happens. The increase in traffic is expected and consistent each year. Which detector condition should be used when creating a detector for this data?

A.
Outlier Detection
Answers
A.
Outlier Detection
B.
Static Threshold
Answers
B.
Static Threshold
C.
Calendar Window
Answers
C.
Calendar Window
D.
Historical Anomaly
Answers
D.
Historical Anomaly
Suggested answer: D

Explanation:

historical anomaly is a detector condition that allows you to trigger an alert when a signal deviates from its historical pattern1.Historical anomaly uses machine learning to learn the normal behavior of a signal based on its past data, and then compares the current value of the signal with the expected value based on the learned pattern1.You can use historical anomaly to detect unusual changes in a signal that are not explained by seasonality, trends, or cycles1.

Historical anomaly is suitable for creating a detector for the customer's data, because it can account for the expected and consistent increase in traffic during November each year.Historical anomaly can learn that the traffic pattern has a seasonal component that peaks in November, and then adjust the expected value of the traffic accordingly1. This way, historical anomaly can avoid triggering alerts when the traffic increases in November, as this is not an anomaly, but rather a normal variation.However, historical anomaly can still trigger alerts when the traffic deviates from the historical pattern in other ways, such as if it drops significantly or spikes unexpectedly1.

asked 23/09/2024
Maris Romans
31 questions
User
Your answer:
0 comments
Sorted by

Leave a comment first