PDE Operationalizing machine learning models Practice Question
This PDE practice question tests your understanding of operationalizing machine learning models. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
Which TWO are best practices for monitoring a deployed machine learning model in production on Vertex AI?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue: "best"
Why it matters: Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Enable Vertex AI Model Monitoring to track feature drift and skew
Option B is correct because Vertex AI Model Monitoring automatically tracks feature drift and skew by comparing the serving data distribution against the training data distribution using statistical tests like the Kolmogorov-Smirnov test. This is a best practice for detecting data quality issues that can degrade model performance in production.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
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 up a weekly retraining pipeline triggered by calendar schedule
Why it's wrong here
This is not monitoring; it's a fixed schedule.
✓
Enable Vertex AI Model Monitoring to track feature drift and skew
Why this is correct
Model Monitoring automatically detects drift.
Clue confirmation
The clue word "best" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
✗
Monitor the training job duration to detect anomalies
Why it's wrong here
Training duration is not a production monitoring metric.
✓
Monitor the distribution of predictions over time to detect concept drift
Why this is correct
Monitoring predictions helps identify when the model's behavior changes.
Clue confirmation
The clue word "best" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
✗
Monitor the model's file size to ensure it hasn't changed
Why it's wrong here
File size is not indicative of model quality.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates confuse operational maintenance tasks (like scheduled retraining) with monitoring tasks, or they focus on infrastructure metrics (like job duration or file size) instead of data and prediction distribution monitoring, which directly impact model accuracy in production.
Detailed technical explanation
How to think about this question
Vertex AI Model Monitoring uses a sliding window approach to compute statistics on prediction requests and compares them to the baseline training data using the Jensen-Shannon divergence or L-infinity distance for categorical features. Concept drift detection (Option D) is best implemented by tracking the distribution of predictions over time using techniques like Page-Hinkley or ADWIN, which can alert when the model's output distribution shifts significantly, indicating that the model's assumptions about the data are no longer valid.
KKey Concepts to Remember
Read the scenario before looking for a memorised answer.
Find the constraint that changes the correct option.
Eliminate answers that are true in general but not in this case.
TExam Day Tips
→Watch for words such as best, first, most likely and least administrative effort.
→Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
What to study next
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Operationalizing machine learning models — This question tests Operationalizing machine learning models — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Enable Vertex AI Model Monitoring to track feature drift and skew — Option B is correct because Vertex AI Model Monitoring automatically tracks feature drift and skew by comparing the serving data distribution against the training data distribution using statistical tests like the Kolmogorov-Smirnov test. This is a best practice for detecting data quality issues that can degrade model performance in production.
What should I do if I get this PDE question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Are there clue words in this question I should notice?
Yes — watch for: "best". Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Question Discussion
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