🔥 40% Off Crucial Exams Memberships — Deal ends today!

1 hour, 51 minutes remaining!

GCP Cloud Digital Leader Practice Question

A manufacturer has a proprietary TensorFlow model that merges sensor and scheduling data to predict equipment failures. It wants managed distributed training, automated hyperparameter tuning, and one-click online prediction hosting without managing servers. Which Google Cloud service should they use to achieve this differentiation?

AutoML Tables
Cloud Run
Vertex AI
BigQuery ML

Report Issue

Answer Description

Vertex AI is Google Cloud's unified machine-learning platform that lets organizations run custom training jobs-including distributed training of their own TensorFlow code-use built-in hyperparameter tuning, and deploy trained models to fully managed prediction endpoints. These capabilities help teams focus on innovating with proprietary models rather than operating infrastructure, enabling competitive differentiation. BigQuery ML trains models by using SQL on structured data and is not intended for custom TensorFlow code or managed online serving. AutoML Tables automates model creation for tabular data but does not support bringing your own complex TensorFlow architecture. Cloud Run runs containerized applications but does not provide native ML training or tuning services. Therefore, Vertex AI is the most appropriate choice.

Ask Bash

Bash is our AI bot, trained to help you pass your exam. AI Generated Content may display inaccurate information, always double-check anything important.

What is TensorFlow and why is it used in machine learning?

Open an interactive chat with Bash

What is hyperparameter tuning in machine learning?

Open an interactive chat with Bash

How does Vertex AI simplify model deployment and prediction hosting?

Open an interactive chat with Bash

What is TensorFlow, and why is it used in machine learning?

Open an interactive chat with Bash

What is automated hyperparameter tuning, and how does it help in machine learning?

Open an interactive chat with Bash

How does Vertex AI handle managed distributed training for proprietary models?

Open an interactive chat with Bash

GCP Cloud Digital Leader

Innovating with Google Cloud Artificial Intelligence

Your Score:

Settings & Objectives

Digital Transformation with Google Cloud

Exploring Data Transformation with Google Cloud

Innovating with Google Cloud Artificial Intelligence

Modernize Infrastructure and Applications with Google Cloud

Trust and Security with Google Cloud

Scaling with Google Cloud Operations

Random Mixed

Questions are selected randomly from all chosen topics, with a preference for those you haven’t seen before. You may see several questions from the same objective or domain in a row.

Rotate by Objective

Questions cycle through each objective or domain in turn, helping you avoid long streaks of questions from the same area. You may see some repeat questions, but the distribution will be more balanced across topics.

Hide Score

Check or uncheck an objective to set which questions you will receive.

Bash, the Crucial Exams Chat Bot

AI Bot