A startup wants to add a feature that identifies objects in user-uploaded photos. They have no ML expertise and need to launch quickly. However, they also want to eventually customize the model to recognize niche objects specific to their app. Which Google Cloud approach is most appropriate?

Start with the Vision API and later migrate to AutoML Vision

Start with AutoML Vision immediately

Start with Vertex AI custom training

A small business has no ML expertise and needs a model to classify customer emails into categories. They do not need a unique model; a standard classification is sufficient. Which solution is most appropriate?

Pre-trained Natural Language API

Google CloudCloud Digital Leader

Domain 3Objective 2

Google Cloud’s AI and ML Solutions CLOUD-DIGITAL-LEADER Practice Questions (Page 5)

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

28questions here

6free pages

7concepts

~16%of the exam

Questions 21–25

21foundation · easy
A startup needs to add language translation to their app for a global launch. They have no ML expertise and need the feature to work immediately. Which Google Cloud solution is most appropriate?
Select an answer first
22expert · hard
A startup wants to add a feature that identifies objects in user-uploaded photos. They have no ML expertise and need to launch quickly. However, they also want to eventually customize the model to recognize niche objects specific to their app. Which Google Cloud approach is most appropriate?
Select an answer first
23foundation · easy
A business needs to add image recognition to its app as quickly as possible with minimal development effort. Which Google Cloud solution should they choose?
Select an answer first
24foundation · easy
A business wants to extract key information from customer support tickets, such as sentiment and category, without building custom models. Which Google Cloud pre-trained API is most appropriate?
Select an answer first
25foundation · easy
A small business has no ML expertise and needs a model to classify customer emails into categories. They do not need a unique model; a standard classification is sufficient. Which solution is most appropriate?
Select an answer first

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Google Cloud’s AI and ML Solutions CLOUD-DIGITAL-LEADER Practice Questions (Page 5)

Questions 21–25

A startup needs to add language translation to their app for a global launch. They have no ML expertise and need the feature to work immediately. Which Google Cloud solution is most appropriate?

A startup wants to add a feature that identifies objects in user-uploaded photos. They have no ML expertise and need to launch quickly. However, they also want to eventually customize the model to recognize niche objects specific to their app. Which Google Cloud approach is most appropriate?

A business needs to add image recognition to its app as quickly as possible with minimal development effort. Which Google Cloud solution should they choose?

A business wants to extract key information from customer support tickets, such as sentiment and category, without building custom models. Which Google Cloud pre-trained API is most appropriate?

A small business has no ML expertise and needs a model to classify customer emails into categories. They do not need a unique model; a standard classification is sufficient. Which solution is most appropriate?

Keep studying — Innovating with Google Cloud Artificial Intelligence