A team monitors a loan-approval model using an inference table. They want to track how precision changes weekly. Which Lakehouse Monitoring feature should they use?

Drift metric on the input features

Custom metric for precision computed on the inference table

Endpoint health metric for latency

In Lakehouse Monitoring, the drift metrics table for a numerical column includes a p-value from a statistical test. What is the primary purpose of this p-value?

To compare the drift across multiple columns at once

To show the direction of the drift (increase or decrease)

To indicate the magnitude of the drift in the column's mean

To determine whether the observed distribution change is statistically significant

DatabricksCertified Machine Learning Professional

Domain 2Objective 5

Drift Detection and Lakehouse Monitoring MACHINE-LEARNING-PROFESSIONAL Practice Questions (Page 2)

Part of the ML Ops domain, which accounts for 44% of the MACHINE-LEARNING-PROFESSIONAL exam. Databricks does not publish an official question count, but from its 120-minute exam (~50–80 total, ~22–35 in this domain), expect 4–7 from this objective — we provide 34 practice questions to prepare you well beyond it. (estimate)

34questions here

7free pages

10concepts

44%of the exam

Questions 6–10

6foundation · easy
When monitoring a model that receives data at different times of the day, which granularity would provide the most detailed view of performance fluctuations?
Select an answer first
7foundation · easy
Which of the following is a valid type for a custom metric in Lakehouse Monitoring?
Select an answer first
8application · medium
A team monitors a loan-approval model using an inference table. They want to track how precision changes weekly. Which Lakehouse Monitoring feature should they use?
Select an answer first
9foundation · easy
When creating a monitor for a time series table in Lakehouse Monitoring, which configuration is essential?
Select an answer first
10foundation · easy
In Lakehouse Monitoring, the drift metrics table for a numerical column includes a p-value from a statistical test. What is the primary purpose of this p-value?
Select an answer first

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Drift Detection and Lakehouse Monitoring MACHINE-LEARNING-PROFESSIONAL Practice Questions (Page 2)

Questions 6–10

When monitoring a model that receives data at different times of the day, which granularity would provide the most detailed view of performance fluctuations?

Which of the following is a valid type for a custom metric in Lakehouse Monitoring?

A team monitors a loan-approval model using an inference table. They want to track how precision changes weekly. Which Lakehouse Monitoring feature should they use?

When creating a monitor for a time series table in Lakehouse Monitoring, which configuration is essential?

In Lakehouse Monitoring, the drift metrics table for a numerical column includes a p-value from a statistical test. What is the primary purpose of this p-value?

Keep studying — ML Ops