Vertex AI & Pipelines Quiz - Competitive Exams GCP_ML_Engineer

Free practice quiz: Vertex AI & Pipelines (Competitive Exams GCP_ML_Engineer). 57 multiple-choice questions with answers and explanations. Play online, no sign-up needed.

Sample questions

1. In Vertex AI Pipelines, what is the primary purpose of a PipelineJob?

   1. To monitor model drift in production
   2. To define and execute a multi-step ML workflow as a directed acyclic graph
   3. To serve a trained model as an online prediction endpoint
   4. To tune hyperparameters automatically
   Show answer

   Answer: B. To define and execute a multi-step ML workflow as a directed acyclic graph

2. Which Vertex AI feature allows you to run a pipeline on a schedule without external orchestration tools?

   1. Vertex AI Endpoint schedules
   2. Vertex AI Pipelines schedules
   3. Vertex AI Model Registry schedules
   4. Vertex AI Workbench schedules
   Show answer

   Answer: B. Vertex AI Pipelines schedules

3. Which of the following best describes the relationship between Vertex AI Pipelines and Kubeflow Pipelines?

   1. Vertex AI Pipelines is a managed service that can run pipelines authored with the Kubeflow Pipelines SDK
   2. Kubeflow Pipelines is a proprietary Google product
   3. Vertex AI Pipelines is a fork of Kubeflow Pipelines that runs only on-premises
   4. They are unrelated and cannot be used together
   Show answer

   Answer: A. Vertex AI Pipelines is a managed service that can run pipelines authored with the Kubeflow Pipelines SDK

4. Which of the following is a key benefit of using Vertex AI Pipelines for MLOps?

   1. It eliminates the need for any containerization of machine learning code.
   2. It provides automated lineage tracking and reproducibility by recording artifacts, parameters, and executions.
   3. It allows pipelines to run only on a single VM, simplifying resource management.
   4. It automatically selects the best machine learning algorithm for a given dataset.
   Show answer

   Answer: B. It provides automated lineage tracking and reproducibility by recording artifacts, parameters, and executions.

5. Which Vertex AI feature allows you to compare two pipeline runs side-by-side, including parameter values and metrics, to identify regressions?

   1. Vertex ML Metadata
   2. Vertex AI Model Registry
   3. Vertex AI Feature Store
   4. Vertex AI Experiments
   Show answer

   Answer: D. Vertex AI Experiments

More quizzes

• Data Engineering for ML
• ML Problem Framing
• Model Deployment & Monitoring

Browse all GCP_ML_Engineer quizzes