Google Generative-AI-Leader 問題集

質問 1：
A financial institution uses generative AI (gen AI) to approve and reject loan applications, but gives no reasons for rejection. Customers are starting to file complaints. The company needs to implement a solution to reduce the complaints. What should the company do?
A. Collect a larger and more diverse dataset for the gen AI model.
B. Implement explainable gen AI policies.
C. Develop fairness assessments for the gen AI model.
D. Fine-tune the gen AI model.
正解：B
解説: (Topexam メンバーにのみ表示されます)

質問 2：
A software developer needs a highly efficient, open-source large language model that can be fine-tuned on a local machine for rapid prototyping of a chatbot application. They require a model that offers strong performance in natural language understanding and generation, while being lightweight enough to run on limited hardware. Which Google-developed family of models should they use?
A. Gemma
B. Veo
C. Imagen
D. Gemini
正解：A
解説: (Topexam メンバーにのみ表示されます)

質問 3：
What is an example of unsupervised machine learning?
A. Forecasting sales figures using historical sales and marketing spend.
B. Training a system to recognize product images using labeled categories.
C. Analyzing customer purchase patterns to identify natural groupings.
D. Predicting subscription renewal based on past renewal status data.
正解：C
解説: (Topexam メンバーにのみ表示されます)

質問 4：
The office of the CISO wants to use generative AI (gen AI) to help automate tasks like summarizing case information, researching threats, and taking actions like creating detection rules. What agent should they use?
A. Code agent
B. Customer service agent
C. Data agent
D. Security agent
正解：D
解説: (Topexam メンバーにのみ表示されます)

質問 5：
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 determine the number of tokens the model can process at once by influencing the complexity and length of inputs and outputs.
B. To control the creativity and randomness of the model's output by adjusting the diversity of word choices.
C. To filter out potentially harmful or inappropriate content from the model's output based on the desired level of filtering.
D. To limit the maximum text length that the model generates by ensuring concise responses.
正解：C
解説: (Topexam メンバーにのみ表示されます)