PMLE Monitoring ML Solutions Practice Question
A company has deployed a model to a Vertex AI Endpoint and wants to receive an email notification whenever Vertex AI Model Monitoring detects feature drift above a configured threshold. They have already set up the monitoring configuration with a training dataset baseline. What should they do next to enable email alerts?
⚠ Common exam trap
The trap here is assuming that enabling monitoring automatically sends alerts, when notification channels must be configured in Cloud Monitoring.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Create a Cloud Monitoring alerting policy on the Vertex AI Model Monitoring drift metric and add an email notification channel.
Vertex AI Model Monitoring emits drift metrics to Cloud Monitoring. To get email alerts, you must create a Cloud Monitoring alerting policy that watches the drift metric and includes an email notification channel. The other options either describe non-existent toggles, use an indirect Pub/Sub path, or confuse frequency with notification, so they do not achieve the goal.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Set the monitoring frequency to 5 minutes so that alerts are generated automatically.
Why it's wrong here
Changing the monitoring frequency affects how often drift is evaluated, but it does not create or send email notifications. Alerts still require a Cloud Monitoring alerting policy with a notification channel. This option confuses detection cadence with notification delivery and would not result in emails being sent.
- ✗
Enable the Vertex AI Model Monitoring email notification toggle in the endpoint settings.
Why it's wrong here
There is no built-in email notification toggle in Vertex AI Endpoint settings for model monitoring. Notifications are handled through Cloud Monitoring alerting policies, not a direct toggle. This option describes a feature that does not exist, so it would not deliver the desired alerts.
- ✗
Configure a Pub/Sub topic as the monitoring sink and subscribe an email endpoint to it.
Why it's wrong here
While Pub/Sub can be used for custom notification pipelines, it is not the direct mechanism for email alerts from Vertex AI Model Monitoring. Cloud Monitoring alerting policies are the supported way to send emails. Using Pub/Sub adds unnecessary complexity and does not by itself send email unless additional infrastructure is built.
- ✓
Create a Cloud Monitoring alerting policy on the Vertex AI Model Monitoring drift metric and add an email notification channel.
Why this is correct
Vertex AI Model Monitoring publishes drift metrics to Cloud Monitoring. To receive email alerts, you create an alerting policy on the relevant drift metric and attach an email notification channel. This is the standard integration path and directly satisfies the requirement without custom code.
Go deeper
Related to this question
About these practice questions
Courseiva writes every PMLE question from scratch — 775 in total, each with an explanation and a wrong-answer breakdown. None are copied from real exams or dumps. Learn why practice questions differ from exam dumps →
JA
Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed September 2026 · checked against the official Google Cloud exam blueprint
This PMLE practice question is part of Courseiva's free Google Cloud certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the PMLE exam.