Model Deployment & Monitoring Quiz - Competitive Exams GCP_ML_Engineer

Free practice quiz: Model Deployment & Monitoring (Competitive Exams GCP_ML_Engineer). 61 multiple-choice questions with answers and explanations. Play online, no sign-up needed.

Sample questions

1. Which Vertex AI resource is used to deploy a trained model for online predictions with autoscaling capabilities?

   1. Model Registry
   2. Endpoint
   3. Pipeline
   4. Feature Store
   Show answer

   Answer: B. Endpoint

2. Which metric does Vertex AI Model Monitoring use to detect prediction drift when ground truth labels are unavailable?

   1. Jensen-Shannon divergence on feature distributions
   2. Root mean squared error
   3. Mean absolute error
   4. Precision-Recall AUC
   Show answer

   Answer: A. Jensen-Shannon divergence on feature distributions

3. When using Vertex AI Model Monitoring, what is the purpose of the monitoring objective?

   1. To indicate which metric to track (e.g., feature skew, prediction drift)
   2. To set the number of monitoring replicas
   3. To define the frequency of batch predictions
   4. To specify the model architecture to monitor
   Show answer

   Answer: A. To indicate which metric to track (e.g., feature skew, prediction drift)

4. In Vertex AI, what is the purpose of the 'explanation config' on a deployed model?

   1. To define the model's input schema
   2. To enable feature attributions for each prediction
   3. To set up autoscaling
   4. To log all prediction requests
   Show answer

   Answer: B. To enable feature attributions for each prediction

5. Which Vertex AI feature allows you to organize multiple models and their versions for deployment and monitoring?

   1. Pipeline
   2. Experiment
   3. Endpoint
   4. Model Registry
   Show answer

   Answer: D. Model Registry

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