What is the purpose of monitoring a model endpoint?

To store the prediction results in a database

To track the health and performance of the endpoint over time

To automatically retrain the model when accuracy drops

To change the model's input schema

What is the primary role of a model endpoint in Databricks for machine learning inference?

To automate the retraining of models based on new data

To run batch inference jobs on large datasets at scheduled intervals

To store training data and model artifacts in a centralized repository

To provide a stable REST API that serves predictions from a deployed model in real time

A team has decommissioned a model and no longer needs its endpoint. They want to remove the endpoint to avoid ongoing costs. What should they do?

Remove the model version from the registry.

Disable the endpoint by changing its status to inactive.

Stop the endpoint by setting the instance count to zero.

Delete the endpoint using the Databricks UI or API.

What is the typical process to update a model endpoint with a new model version in Databricks?

Delete the existing endpoint and create a new one from scratch

Retrain the model on the endpoint itself

Register the new version in the Model Registry and update the endpoint to serve that version

Modify the model code directly in the endpoint's serving environment

DatabricksCertified Machine Learning Associate

Domain 4Objective 2

Deploy a Custom Model to a Model Endpoint MACHINE-LEARNING-ASSOCIATE Practice Questions (Page 2)

Part of the Section 4: Model Deployment domain, which makes up ~30% of our current practice bank. Databricks does not publish an official question count, but from its 90-minute exam (~35–60 total, ~11–18 in this domain), expect 2–3 from this objective — we provide 27 practice questions to prepare you well beyond it. (estimate)

27questions here

6free pages

7concepts

Questions 6–10

6foundation · easy
What is the purpose of monitoring a model endpoint?
Select an answer first
7foundation · easy
What is the primary role of a model endpoint in Databricks for machine learning inference?
Select an answer first
8application · medium
A team has decommissioned a model and no longer needs its endpoint. They want to remove the endpoint to avoid ongoing costs. What should they do?
Select an answer first
9foundation · easy
What is the typical process to update a model endpoint with a new model version in Databricks?
Select an answer first
10foundation · easy
Which format is commonly used to package a custom model with its dependencies and environment for deployment in Databricks?
Select an answer first

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