Exam Certified Machine Learning Professional topic 1 question 9 discussion

Actual exam question from Databricks's Certified Machine Learning Professional

Question #: 9
Topic #: 1

[All Certified Machine Learning Professional Questions]

A machine learning engineer is in the process of implementing a concept drift monitoring solution. They are planning to use the following steps:
1. Deploy a model to production and compute predicted values
2. Obtain the observed (actual) label values
3. _____
4. Run a statistical test to determine if there are changes over time
Which of the following should be completed as Step #3?

A. Obtain the observed values (actual) feature values
B. Measure the latency of the prediction time
C. Retrain the model
D. None of these should be completed as Step #3
E. Compute the evaluation metric using the observed and predicted values

Show Suggested Answer

Suggested Answer: E 🗳️

by BokNinja at Dec. 19, 2023, 7:12 a.m.

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sindhu_gowda

1 year ago

Selected Answer: E

Answer is E

upvoted 1 times

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nnn_666

1 year, 4 months ago

Selected Answer: E

concept drift can only be detected by observing model performance metrics.

upvoted 2 times

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Alishahab70

1 year, 5 months ago

Selected Answer: E

It should be E

upvoted 1 times

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spaceexplorer

1 year, 5 months ago

Selected Answer: A

A is correct

upvoted 1 times

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hugodscarvalho

1 year, 5 months ago

Selected Answer: E

By computing evaluation metrics such as accuracy, precision, recall, or F1 score using these values, the engineer can assess the model's performance over time and detect any potential concept drift.

upvoted 2 times

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trendy01

1 year, 6 months ago

Selected Answer: E

E. Compute the evaluation metric using the observed and predicted values

upvoted 1 times

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BokNinja

1 year, 6 months ago

E. Compute the evaluation metric using the observed and predicted values

upvoted 1 times

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