PMLE Monitoring ML Solutions Practice Question
An MLOps engineer needs to collect ground truth labels for a deployed classification model to compare predictions against actuals. Where should the engineer store the ground truth data to enable Vertex AI model quality 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
✓
BigQuery
Vertex AI Model Monitoring expects ground truth data to be uploaded to BigQuery tables, which can then be used to compute confusion matrices and other quality metrics over time.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
BigQuery
Why this is correct
Vertex AI Model Monitoring uses ground truth labels stored in BigQuery to compute quality metrics.
- ✗
Firestore
Why it's wrong here
Firestore is not supported for ground truth storage in Vertex AI Model Monitoring.
- ✗
Cloud Spanner
Why it's wrong here
Cloud Spanner is a relational database but not the recommended service for ground truth data in Vertex AI.
- ✗
Cloud Storage
Why it's wrong here
While models can be stored in Cloud Storage, ground truth for model quality monitoring must be in BigQuery.
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Senior Network & Security Engineer · founder of Courseiva
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