Generative AI Leader Free Practice Questions — Page 2
Question 6
An organization wants to quickly experiment with different Gemini models and parameters for content creation without a complex setup. What service should the organization use for this initial exploration?
A. Vertex AI Studio
B. Vertex AI Prediction
C. Google AI Studio
D. Gemini for Google Workspace
Show Answer
Correct Answer: C
Explanation: Google AI Studio is designed for quick, lightweight experimentation with Gemini models and parameters through a simple web interface, without requiring GCP project setup or production infrastructure. Vertex AI Studio and Prediction are more oriented toward managed, production workflows, and Gemini for Workspace is for end‑user productivity, not model experimentation.
Question 6
What are core hardware components of the infrastructure layer in the generative AI landscape?
A. User interfaces
B. TPUs and GPUs
C. Tools and services for building AI models
D. Pre-trained models
Show Answer
Correct Answer: B
Explanation: The infrastructure layer focuses on the physical computing hardware that enables training and inference of generative AI models. TPUs and GPUs are specialized accelerators designed for large-scale parallel matrix computations, which are fundamental to deep learning workloads. The other options relate to higher-level software layers rather than core hardware infrastructure.
Question 7
A user asks a generative AI model about the scientific accuracy of a popular science fiction movie. The model confidently states that humans can indeed travel faster than light, referencing specific but entirely fictional theories and providing made-up explanations of how this is achieved according to the movie's "established science." The model presents this information as factual, without indicating that it originates from a fictional work. What type of model limitation is this?
A. Bias
B. Hallucination
C. Knowledge cutoff
D. Data dependency
Show Answer
Correct Answer: B
Explanation: The model invents fictional theories and presents them as real scientific facts without acknowledging their fictional origin. This confident fabrication of false information is a classic example of hallucination, not bias, knowledge cutoff, or data dependency.
Question 7
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. Reinforcement learning
B. Deep learning
C. Unsupervised learning
D. Supervised learning
Show Answer
Correct Answer: D
Explanation: The dataset consists of customer reviews that are already labeled with known sentiment classes (positive, negative, neutral). When training a model using input data paired with correct output labels, the appropriate approach is supervised learning. Reinforcement learning and unsupervised learning do not fit this labeled classification setup, and deep learning is a possible technique but not a learning paradigm in this context.
Question 8
A company wants to choose a generative AI (gen AI) use case that will be successful and have the most impact. What Key factor should they determine first according to Google Cloud- recommended practices?
A. The number of employees who will be trained to use the new gen AI tools.
B. The availability of pre-trained models that are offered on various cloud computing platforms.
C. The frequency of updates to the underlying foundation models used by different gen AI platforms.
D. The specific business problems the company aims to solve and the desired outcomes.
Show Answer
Correct Answer: D
Explanation: Google Cloud–recommended practices stress starting with clear business alignment. The first key factor is identifying the specific business problems to solve and the desired outcomes, ensuring the gen AI use case delivers measurable value. Other factors like models, platforms, or training are secondary and should follow once the business goal is defined.
Question 9
A human resources team is implementing a new generative AI application to assist the department in screening a large volume of job applications. They want to ensure fairness and build trust with potential candidates. What should the team prioritize?
A. Integrating the AI application with various job boards to maximize candidate reach.
B. Focusing on minimizing the processing time for each application to improve efficiency.
C. Ensuring AI operates transparently, especially regarding application evaluation and data usage.
D. Ensuring that the AI application can automatically rank all candidates without requiring human review.
Show Answer
Correct Answer: C
Explanation: To ensure fairness and build trust in an AI-assisted hiring process, the priority should be transparency. Clearly explaining how the AI evaluates applications, what data it uses, and its limitations enables accountability, allows bias to be identified and addressed, and reassures candidates that decisions are made responsibly. The other options focus on efficiency or automation goals that do not directly address fairness or trust.
Question 10
A company’s large learning model (LLM) is producing hallucinations that are a result of the knowledge cutoff. How does retrieval-augmented generation (RAG) overcome this limitation?
A. RAG enhances the creative writing capabilities of the LLM to generate more engaging and informative responses.
B. RAG uses human oversight to ensure accuracy before presenting information to the customer.
C. RAG enables the LLM to retrieve relevant and up-to-date information from knowledge sources.
D. RAG fine-tunes the LLM on specific customer query patterns to improve the speed and efficiency of response generation.
Show Answer
Correct Answer: C
Explanation: Retrieval-augmented generation mitigates hallucinations caused by a knowledge cutoff by fetching relevant, up-to-date information from external knowledge sources at query time and providing it as context to the LLM. This grounds the model’s responses in current, factual data rather than relying solely on its static, pre-trained knowledge.
Question 11
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. They provide a pre-built user interface for the chatbot, simplifying the front-end development process.
B. They automatically create summaries of all company policies, which are then presented to employees as quick answers.
C. They enable the generative AI model to retrieve the most up-to-date and relevant information from the policy documents in real-time.
D. They allow the development team to train a single foundation model on all company documents.
Show Answer
Correct Answer: C
Explanation: Retrieval-Augmented Generation (RAG) connects a generative model to external data sources so it can retrieve relevant documents at query time. In this scenario, company policies stored in Cloud Storage are updated frequently, and RAG APIs allow the chatbot to ground its answers in the most current and relevant documents without retraining the model. The other options describe capabilities (UI creation, automatic global summarization, or full model training) that are not the primary purpose of RAG.
Question 12
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 automatically generate comprehensive documentation for their code.
C. Use gen AI to identify potential bugs and security vulnerabilities in their code.
D. Use gen AI to suggest code snippets and complete functions.
Show Answer
Correct Answer: D
Explanation: The goal is to code faster to launch a prototype sooner. Using generative AI to suggest code snippets and complete functions directly accelerates code creation by reducing manual effort and speeding up implementation. The other options—refactoring, documentation, and bug or security analysis—are helpful but typically support later stages and do not most directly speed up initial development.
Question 13
A company wants to use generative AI to create a chatbot that can answer customer questions about their products and services. They need to ensure that the chatbot only uses information from the company’s official documentation. What should the company do?
A. Use role prompting.
B. Use prompt chaining.
C. Use grounding.
D. Adjust temperature parameter.
Show Answer
Correct Answer: C
Explanation: The company should use grounding, which constrains the chatbot to generate answers based only on trusted external sources such as the company’s official documentation. Grounding (often via retrieval-augmented generation) ensures responses are accurate, up to date, and limited to approved information, unlike role prompting, prompt chaining, or temperature tuning, which do not restrict information sources.
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