A team needs to create a monitor on a snapshot table that captures the state of a customer database each day. They want to track the number of customers in each region and also the average account balance. Which configuration is required?

Create a time series table instead of a snapshot table.

Define custom metrics for the count of customers by region and the average account balance.

Use the built-in drift metrics for the region and balance columns.

Set the baseline to the previous day's snapshot.

A team is designing a monitoring pipeline for a real-time recommendation model. They plan to log input features, predictions, and latency metrics. Which set of components is essential for a complete monitoring pipeline?

Model performance and alerting only

Logging and drift detection only

Logging, drift detection, model performance, and model health

Endpoint health and alerting only

DatabricksCertified Machine Learning Professional

Domain 2Objective 5

Drift Detection and Lakehouse Monitoring MACHINE-LEARNING-PROFESSIONAL Practice Questions (Page 1)

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 1–5

1foundation · easy
For a categorical column in a Lakehouse Monitoring drift metrics table, which statistical test is typically used to detect drift?
Select an answer first
2expert · hard
A team needs to create a monitor on a snapshot table that captures the state of a customer database each day. They want to track the number of customers in each region and also the average account balance. Which configuration is required?
Select an answer first
3foundation · easy
Which of the following is a common notification channel for Lakehouse Monitoring alerts?
Select an answer first
4foundation · easy
Which component of a monitoring pipeline is primarily concerned with tracking infrastructure metrics such as CPU usage and memory consumption of the model serving environment?
Select an answer first
5application · medium
A team is designing a monitoring pipeline for a real-time recommendation model. They plan to log input features, predictions, and latency metrics. Which set of components is essential for a complete monitoring pipeline?
Select an answer first

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Drift Detection and Lakehouse Monitoring MACHINE-LEARNING-PROFESSIONAL Practice Questions (Page 1)

Questions 1–5

For a categorical column in a Lakehouse Monitoring drift metrics table, which statistical test is typically used to detect drift?

A team needs to create a monitor on a snapshot table that captures the state of a customer database each day. They want to track the number of customers in each region and also the average account balance. Which configuration is required?

Which of the following is a common notification channel for Lakehouse Monitoring alerts?

Which component of a monitoring pipeline is primarily concerned with tracking infrastructure metrics such as CPU usage and memory consumption of the model serving environment?

A team is designing a monitoring pipeline for a real-time recommendation model. They plan to log input features, predictions, and latency metrics. Which set of components is essential for a complete monitoring pipeline?

Keep studying — ML Ops