hardMultiple ChoiceObjective-mapped
PDE Practice Question: A financial services company uses a custom…
A financial services company uses a custom container on Vertex AI Prediction to serve a fraud detection model. The container runs a Flask app that loads a large feature engineering library (~2 GB) at startup. The model is updated weekly. For the past two weeks, the new model version has been failing health checks and showing 'Container failed to start' errors in the logs. The previous versions worked fine. You inspect the container image and confirm it is built correctly using Cloud Build. The only change in the latest build is an updated version of the feature engineering library. What is the most likely cause and how should you fix it?
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 new library version increased memory consumption during startup, exceeding the health check timeout. Increase the startup probe initial delay.
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 Cloud Build step that pushes the image is misconfigured. Rebuild using a different approach.
Why it's wrong here
The container image exists and is confirmed built correctly; the issue is runtime.
- ✗
The Vertex AI endpoint machine type is too small for the new container. Upgrade to a larger machine type.
Why it's wrong here
While possible, the previous versions worked fine on the same machine type; startup time is more likely.
- ✓
The new library version increased memory consumption during startup, exceeding the health check timeout. Increase the startup probe initial delay.
Why this is correct
A larger library could cause longer initialization; adjusting the health check timing accommodates that.
- ✗
The new library has a dependency conflict that causes the Flask app to crash. Roll back to the previous library version.
Why it's wrong here
No evidence of crash; logs show 'failed to start' which is typically a health check issue, not a crash.
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This PDE 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 PDE exam.