Question 8 of 280
Single answerYou work for a public transportation company and need to build a model to estimate delay times for multiple
transportation routes. Predictions are served directly to users in an app in real time. Because different seasons and
population increases impact the data relevance, you will retrain the model every month. You want to follow
Google-recommended best practices. How should you configure the end-to-end architecture of the predictive
model?
✓AConfigure Kubeflow Pipelines to schedule your multi-step workflow from training to deploying your model.
BUse a model trained and deployed on BigQuery ML, and trigger retraining with the scheduled query feature in BigQuery.
CWrite a Cloud Functions script that launches a training and deploying job on AI Platform that is triggered by Cloud Scheduler.
DUse Cloud Composer to programmatically schedule a Dataflow job that executes the workflow from training
to deploying your model.
✓
Correct Answer: A
Configure Kubeflow Pipelines to schedule your multi-step workflow from training to deploying your model.
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Explanation
The correct answer is highlighted above. Review the wording carefully, then use the next question to continue building your understanding of Google certification topics.