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Google Updated Generative-AI-Leader Exam Questions and Answers by fern

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Google Generative-AI-Leader Exam Overview :

Exam Name: Google Cloud Certified - Generative AI Leader Exam
Exam Code: Generative-AI-Leader Dumps
Vendor: Google Certification: Google Cloud Certified
Questions: 77 Q&A's Shared By: fern
Question 16

A company wants a generative AI platform that provides the infrastructure, tools, and pre-trained models needed to build, deploy, and manage its generative AI solutions. Which Google Cloud offering should the company use?

Options:

A.

BigQuery

B.

Vertex AI

C.

Google Kubernetes Engine (GKE)

D.

Google Cloud Storage

Discussion
Question 17

According to Google-recommended practices, when should generative AI be used to automate tasks?

Options:

A.

When tasks are highly creative and require original thought.

B.

When tasks involve sensitive information or require human oversight

C.

When tasks are repetitive and rule-based.

D.

When tasks are complex and require strategic decision-making.

Discussion
Question 18

A company is defining their generative AI strategy. They want to follow Google-recommended practices to increase their chances of success. Which strategy should they use?

Options:

A.

Rapid implementation strategy

B.

Bottom-up strategy

C.

Multi-directional strategy

D.

Top-down strategy

Discussion
Question 19

A company is developing a generative AI application to analyze customer feedback collected through online surveys. Stakeholders are concerned about potential privacy risks associated with this data, as the feedback contains personally identifiable information (PII). They need to mitigate these risks before using the data to train the AI model. What action should the company prioritize?

Options:

A.

Focusing on collecting only quantitative feedback data in future surveys.

B.

Ensuring that the AI model is trained on a large and diverse dataset.

C.

Implementing strong access controls to limit which teams can view the raw survey data.

D.

Applying data anonymization techniques to remove or obscure sensitive data.

Discussion
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