A data analyst wants to build a custom ML model but has limited coding experience and wants to use their own labeled data. Which Google Cloud AI/ML product category is most appropriate?

Google CloudCloud Digital Leader

Domain 3Objective 3

Building and Using Google Cloud AI and ML Solutions CLOUD-DIGITAL-LEADER Practice Questions (Page 7)

Part of the Innovating with Google Cloud Artificial Intelligence domain, which accounts for ~16% of the CLOUD-DIGITAL-LEADER exam.

31questions here

7free pages

11concepts

~16%of the exam

11 Concepts in This Objective

Overview of Google Cloud AI/ML products
BigQuery ML fundamentals
Natural Language API use cases
Vision API use cases
Cloud Translation API use cases
Speech-to-Text API use cases
Text-to-Speech API use cases
Selecting the right pre-trained API
AutoML for custom model training
Gemini Enterprise Agent Platform (Vertex AI) for custom models
TensorFlow and Cloud TPU

Questions 31–31

31foundation · easy
A data analyst wants to build a custom ML model but has limited coding experience and wants to use their own labeled data. Which Google Cloud AI/ML product category is most appropriate?
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Building and Using Google Cloud AI and ML Solutions CLOUD-DIGITAL-LEADER Practice Questions (Page 7)

Questions 31–31

A data analyst wants to build a custom ML model but has limited coding experience and wants to use their own labeled data. Which Google Cloud AI/ML product category is most appropriate?

Keep studying — Innovating with Google Cloud Artificial Intelligence