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最新的 Google Cloud Certified Generative-AI-Leader 免費考試真題:

1. A social media platform uses a generative AI model to automatically generate summaries of user-submitted posts to provide quick overviews for other users. While the summaries are generally accurate for factual posts, the model occasionally misinterprets sarcasm, satire, or nuanced opinions, leading to summaries that misrepresent the original intent and potentially cause misunderstandings or offense among users. What should the platform do to overcome this limitation of the AI-generated summaries?

A) Incorporate a human-in-the-loop (HITL) review process to refine the summaries.
B) Decrease the output length of the summaries to make them more concise.
C) Implement stricter safety settings to filter out potentially misinterpreted content altogether.
D) Increase the temperature parameter of the model to encourage more varied and less literal interpretations.

2. A software development team wants to use generative AI (gen AI) to code faster so they can launch their software prototype quicker. What should the team do?

A) Use gen AI to refactor and optimize existing code.
B) Use gen AI to identify potential bugs and security vulnerabilities in their code.
C) Use gen AI to suggest code snippets and complete functions.
D) Use gen AI to automatically generate comprehensive documentation for their code.

3. An organization wants to use generative AI to create a marketing campaign. They need to ensure that the AI model generates text that is appropriate for the target audience. What should the organization do?

A) Use few-shot prompting.
B) Adjust the temperature parameter.
C) Use prompt chaining.
D) Use role prompting.

4. A company's development team is eager to start building generative AI solutions with Google Cloud, but has limited experience in AI development. They need to launch their gen AI solution quickly. What Google Cloud benefit would help the company achieve their goal?

A) Google Cloud's focus on continuous improvement provides access to the latest AI tools, features, and best practices.
B) Google Cloud's comprehensive training materials and tutorials to help developers.
C) Google Cloud's pre-trained models and low- and no-code AI tools and services.
D) Google Cloud's collaborative AI community and support forums connect developers with AI experts.

5. A company has a machine learning project that involves diverse data types like streaming data and structured databases. How does Google Cloud support data gathering for this project?

A) Google Cloud relies on Vertex AI to connect to external data.
B) The Gemini app is the primary Google Cloud tool for directly collecting data.
C) Google Cloud's strengths are in the data analysis tools such as BigQuery.
D) Google Cloud provides tools such as Pub/Sub, Cloud Storage, and Cloud SQL.

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