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Google Cloud Certified - Generative AI Leader Exam Latest Materials are Highly Effective to Make Use of - PassReview

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Google Generative-AI-Leader Exam Syllabus Topics:

Topic
Details

Topic 1

Implementing AV Solutions: This section of the exam measures the skills of an AV Integration Technician and focuses on turning AV system designs into reality. It assesses the ability to integrate systems by verifying components and managing supply installations, as well as handling documentation, training, and creating as-built schematics that support ongoing system operation.

Topic 2

Creating AV Solutions: This section of the exam measures the skills of an AV Systems Designer and covers the processes involved in understanding client requirements and translating them into practical AV solutions. It includes tasks such as conducting customer needs analysis, performing site surveys to evaluate conditions like lighting and acoustics, developing AV project scopes, and designing system layouts and documentation.

Topic 3

Servicing AV Solutions: This section of the exam measures skills of an AV Maintenance Technician and focuses on maintaining and repairing AV systems. Tasks include supervising operations, conducting routine maintenance such as firmware updates and component replacements, and resolving issues through troubleshooting and repair processes, ensuring long-term system performance.

Topic 4

Supporting AV System Operation: This section of the exam measures the skills of an AV Support Specialist and focuses on providing assistance in operating audiovisual systems. It includes remote and onsite troubleshooting, training users, and delivering live event support, ensuring systems function effectively in real-world usage scenarios.

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Google Cloud Certified - Generative AI Leader Exam Sample Questions (Q37-Q42):

NEW QUESTION # 37
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. Increase the temperature parameter of the model to encourage more varied and less literal interpretations.
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. Incorporate a human-in-the-loop (HITL) review process to refine the summaries.

Answer: D

Explanation:
When AI struggles with nuances like sarcasm or satire, human oversight is often the most effective solution.
A human-in-the-loop (HITL) process allows human reviewers to check, correct, and refine AI-generated content before it is published, ensuring accuracy and appropriateness, especially for sensitive or complex language.
________________________________________

NEW QUESTION # 38
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?

A. Rapid implementation strategy
B. Top-down strategy
C. Multi-directional strategy
D. Bottom-up strategy

Answer: B

Explanation:
Google Cloud often recommends a "top-down" approach for generative AI strategy. This means starting with clear business objectives and leadership alignment on how generative AI can solve critical business problems, rather than simply experimenting from the bottom up without a clear strategic direction.
________________________________________

NEW QUESTION # 39
A development team is configuring a generative AI model for a customer-facing application and wants to ensure the generated content is appropriate and harmless. What is the primary function of the safety settings parameter in a generative AI model?

A. To filter out potentially harmful or inappropriate content from the model's output based on the desired level of filtering.
B. To control the creativity and randomness of the model's output by adjusting the diversity of word choices.
C. To determine the number of tokens the model can process at once by influencing the complexity and length of inputs and outputs.
D. To limit the maximum text length that the model generates by ensuring concise responses.

Answer: A

Explanation:
Safety settings in generative AI models are specifically designed to prevent the generation of content that could be harmful, offensive, or inappropriate. This includes filtering for categories like hate speech, sexually explicit content, self-harm, and violence, based on predefined thresholds. Options A, B, and D refer to other parameters like max_output_tokens or temperature, which control output length, input/output processing, and creativity, respectively, not safety.
________________________________________

NEW QUESTION # 40
A marketing team wants to use a foundation model to create social media and advertising campaigns. They want to create written articles and images from text. They lack deep AI expertiseand need a versatile solution.
Which Google foundation model should they use?

A. Imagen
B. Veo
C. Gemini
D. Gemma

Answer: C

Explanation:
Gemini is Google's most advanced and multimodal foundation model, capable of understanding and generating various forms of content, including text and images, from a single prompt. Its versatility makes it suitable for marketing teams that need to create diverse campaign materials without deep AI expertise.
Imagen is specifically for image generation, Gemma is a family of smaller, open models, and Veo is for video generation.
________________________________________

NEW QUESTION # 41
What does Vertex AI Search enable companies to do?

A. To surface the most popular and frequently accessed content based on global user search patterns and trends.
B. To ground LLM responses with first-party data, third-party data, and Google's knowledge graph.
C. To compare products from numerous online retailers, allowing users to find the best deals and product options across the internet.
D. To index and retrieve information from the entire public web, providing a comprehensive view of publicly available data.

Answer: B

Explanation:
Vertex AI Search is designed to enable powerful search experiences over an organization's own data (first- party), external data (third-party), and can leverage Google's knowledge graph to provide more relevant and accurate responses, especially when grounding Large Language Models (LLMs). It does not index the entire public web like Google Search.
________________________________________

NEW QUESTION # 42
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