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PMLE Practice Question: A company serves a scikit-learn model on Vertex…

A company serves a scikit-learn model on Vertex AI Prediction but receives a 400 error with 'Prediction failed: Model evaluation error'. What is the most likely cause?

⚠ Common exam trap

Google Cloud often tests the misconception that a 400 error always indicates a client-side input format issue, but here the error message 'Model evaluation error' points to a server-side model loading failure due to version incompatibility, not the input data.

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

The model uses a scikit-learn version not supported by Vertex AI

Vertex AI Prediction supports specific versions of scikit-learn for serving models. If the model was trained with a version that is not in the supported list (e.g., 0.19, 0.20, 0.22, 0.23, 0.24, 1.0, 1.1), the prediction endpoint will fail with a 'Model evaluation error' because the underlying runtime cannot load the serialized model (e.g., pickle or joblib file). This is the most likely cause of a 400 error when the input format is otherwise correct.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • The input data format is incorrect

    Why it's wrong here

    Incorrect input usually gives a different error.

  • The model was trained with a different framework

    Why it's wrong here

    Vertex AI supports scikit-learn natively.

  • The model uses a scikit-learn version not supported by Vertex AI

    Why this is correct

    Version mismatch causes evaluation failure.

  • The endpoint is overloaded and timing out

    Why it's wrong here

    Timeout errors are different from evaluation errors.

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JA

Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

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.