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 company wants to build a model to classify customer reviews as positive, negative, or neutral. They have collected a dataset of thousands of customer reviews, and each review has been manually tagged with the corresponding sentiment: positive, negative, or neutral. What machine learning should the company use?
A company wants to use generative AI (gen AI) for their customer service department. They want to follow Google-recommended practices. Which use case is a suitable application?
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?
What is the continuous cycle of observing, interpreting, planning, and acting that makes up an AI agent ' s " thinking process " ?
A development team is building an internal knowledge base chatbot to answer employee questions about company policies and procedures. This information is stored across various documents in Google Cloud Storage and is updated regularly by different departments. What is the primary benefit of using Google Cloud ' s RAG APIs in this scenario?
A large enterprise company is experiencing challenges managing their model. They have many versions of their model, including the code, data, and parameters used to train the models. They need to find a solution to manage versions, track changes, and stay organized throughout their lifecycle. What Gemini Enterprise Agent Platform tool should the company use?
An organization is deploying generative AI applications on Google Cloud. They want to understand the fundamental security measures integrated into Google ' s global network and hardware. What term specifically describes these inherent protective measures?
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 company trains a generative AI model designed to classify customer feedback as positive, negative, or neutral. However, the training dataset disproportionately includes feedback from a specific demographic and uses outdated language norms that don ' t reflect current customer communication styles. When the model is deployed, it shows a strong bias in its sentiment analysis for new customer feedback, misclassifying reviews from underrepresented demographics and struggling to understand current slang or phrasing. What type of model limitation is this?
Exam style questions across every Generative-AI-Leader domain
Last Update 3 days ago
Total Questions : 114
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