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Google Generative-AI-Leader Practice Test Questions Answers

Exam Code: Generative-AI-Leader (Updated 114 Q&As with Explanation)
Exam Name: Google Cloud Certified - Generative AI Leader Exam
Last Update: 21-Sep-2026
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Questions Include:

  • Single Choice: 114 Q&A's

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    Generative-AI-Leader Questions and Answers

    Question # 1

    A research team has collected a large dataset of sensor readings from various industrial machines. This dataset includes measurements like temperature, pressure, vibration levels, and electrical current, recorded at regular intervals. The team has not yet assigned any labels or categories to these readings and wants to identify potential anomalies, malfunctions, or natural groupings of machine behavior based on the sensor data alone. What type of machine learning should they use?

    A.

    Reinforcement learning

    B.

    Unsupervised learning

    C.

    Deep learning

    D.

    Supervised learning

    Question # 2

    A company has launched a new generative AI-powered chatbot on its customer service portal to handle frequently asked questions. They want to monitor the new chatbot ' s performance over time to ensure it continues to perform well. What Google-recommended practice should they use?

    A.

    A/B testing of different chatbot conversation flows.

    B.

    Using a human-in-the-loop (HITL) review process for chatbot interactions.

    C.

    Defining and tracking key performance indicators (KPIs).

    D.

    Prompting the chatbot to rate its performance.

    Question # 3

    An organization needs an AI tool to analyze and summarize lengthy customer feedback text transcripts. You need to choose a Google foundation model with a large context window. What foundation model should the organization choose?

    A.

    Gemini

    B.

    CodeGemma

    C.

    Imagen

    D.

    Chirp

    Question # 4

    A support team has a lot of important information in multiple internal locations across the organization. They are considering using Gemini Enterprise to implement custom agents tailored to specific roles and workflows. What is the main business problem that this solution addresses?

    A.

    Difficulty in maintaining consistent branding and messaging across all customer-facing communications.

    B.

    Inability to scale IT infrastructure rapidly to accommodate fluctuating business demands.

    C.

    Reduced employee productivity and increased operational costs due to time spent on manual data retrieval and task execution.

    D.

    Challenges in complying with evolving data privacy regulations and ensuring the security of sensitive information.

    Question # 5

    A large company is creating their generative AI (gen AI) solution by using Google Cloud ' s offerings. They want to ensure that their mid-level managers contribute to a successful gen AI rollout by following Google-recommended practices. What should the mid-level managers do?

    A.

    Perform continuous testing, measurement, and refinement based on user feedback and real-world performance data.

    B.

    Create a robust data strategy to ensure teams can access high-quality, relevant data that is appropriate for training and fine-tuning gen AI models.

    C.

    Drive gen AI adoption by identifying high-impact, feasible solutions that address specific challenges within their workflows.

    D.

    Secure funding and resources for AI initiatives by demonstrating the potential return on investment to the chief financial officer (CFO).

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