Generative AI Leader Free Practice Questions — Page 3
Question 21
A company is trying to decide which platform to use to optimize its generative AI (gen AI) solutions. Why should the company use Vertex AI Platform?
A. It provides gen AI coding assistance with enterprise security and privacy protection.
B. It provides a mechanism for efficient analysis and exploration of large datasets used in machine learning.
C. It provides a unified platform of tools for building, deploying, and managing machine learning.
D. It provides scalable and cost-effective object storage for data used in machine learning workflows.
Show Answer
Correct Answer: C
Explanation: Vertex AI is Google Cloud's unified AI and machine learning platform, providing tools to build, train, tune, deploy, and manage both traditional ML and generative AI applications. The other options describe different Google Cloud products: A refers to Gemini Code Assist, B to BigQuery, and D to Cloud Storage.
Question 22
A sales manager wants to responsibly use generative AI (gen AI) to increase efficiency with their existing tasks. They want to allow the sales team to focus on building customer relationships and closing deals. How should the sales team use gen AI?
A. To automate creative content like blog posts and social media updates to attract new leads.
B. To draft emails and provide real-time insights about customer needs.
C. To analyze customer interactions on social media and automatically generate sales pitches tailored to their public profiles.
D. To replace the sales team’s CRM system with a more intuitive and user-friendly interface.
Show Answer
Correct Answer: B
Explanation: Using generative AI to draft emails and surface real-time customer insights augments the sales team's existing workflow, improving efficiency while keeping relationship-building and deal-closing with human salespeople. The other options either shift into marketing content creation, raise privacy and ethical concerns through automated profiling and sales pitches, or propose replacing a CRM, which is not an appropriate role for generative AI.
Question 23
An organization wants to understand trends in customer interactions, identify common issues, gauge customer sentiment, and improve the overall customer experience across both their automated chatbot interactions and live agent support. They need a tool that can analyze their existing conversational data to gain actionable business intelligence. What component of Google’s Customer Engagement Suite best addresses this need?
A. Agent Assist
B. Google Cloud Contact Center as a Service
C. Conversational Agents
D. Conversational Insights
Show Answer
Correct Answer: D
Explanation: Conversational Insights is designed to analyze historical conversations from both virtual agents and live agents, providing sentiment analysis, topic detection, trend identification, and other business intelligence to improve customer experience.
Question 24
A home loan company is deploying a generative AI system to automate initial loan application reviews. Several applicants have been unexpectedly rejected, leading to customer complaints and potential bias concerns. They need to ensure responsible and fair lending practices. What aspect of the AI system should they prioritize?
A. Implementing stricter data security measures to protect applicants’ financial information from unauthorized access.
B. Regularly updating the AI model with more financial data to improve its accuracy over time.
C. Increasing the speed at which the AI system processes loan applications to handle the high volume.
D. Ensuring AI decision-making is explainable to understand decision reasons and establish accountability.
Show Answer
Correct Answer: D
Explanation: The key issue is unexpected rejections and potential bias. Prioritizing explainable AI allows the company to understand and audit why decisions were made, identify unfair patterns, support accountability, and provide meaningful explanations to applicants. While security, more data, and processing speed are important, they do not directly address fairness and transparency in lending decisions.
Question 25
A research company needs to analyze several lengthy PDF documents containing financial reports and identify key performance indicators (KPIs) and their trends over the past year. They want a Google Cloud prebuilt generative AI tool that can process these documents and provide summarized insights directly from the source material with citations. What should the analyst do?
A. Use NotebookLM to upload and analyze the documents.
B. Create a custom Gem in Gemini Advanced with predefined KPIs to look across different financial reports.
C. Use Gemini for Google Workspace within Google Docs to copy and paste sections of the reports for summary and analysis.
D. Use the Gemini app to ask general financial trend questions.
Show Answer
Correct Answer: A
Explanation: NotebookLM is designed to ingest and analyze source documents such as PDFs, answer questions grounded in those documents, generate summaries, and provide inline citations back to the source material. This matches the requirement to analyze lengthy financial reports, identify KPIs and trends, and provide cited insights. The other options either require manual copying, are general-purpose, or are not the appropriate document-grounded research tool.
Question 26
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 presents fictional information as factual, inventing or misrepresenting scientific theories without indicating they are fictional. This is a hallucination: generating false or fabricated content with unwarranted confidence. It is not bias, a knowledge cutoff issue, or primarily data dependency, because the defining limitation is the model's failure to distinguish fiction from fact and its presentation of false claims as true.
Question 27
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 recommends starting with the business need, not the technology. The first step is to identify the specific business problem to solve and define the desired outcomes so the use case is aligned with measurable business value. Considerations such as employee training, model availability, or foundation model update frequency come later when selecting and implementing a solution.
Question 28
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: For a generative AI system used in hiring, responsible AI principles prioritize transparency about how applications are evaluated and how candidate data is used. Transparency supports fairness, accountability, trust, and enables oversight. The other options emphasize operational efficiency or automation rather than responsible use, and fully automated ranking without human review is generally inappropriate for high-stakes employment decisions.
Question 29
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 (RAG) addresses knowledge cutoff limitations by retrieving relevant, current information from external knowledge sources at inference time and providing that context to the LLM. This grounds responses in up-to-date information and helps reduce hallucinations caused by outdated internal knowledge. It is not primarily about creativity, human review, or fine-tuning the model.
Question 30
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) augments a foundation model by retrieving relevant information from an external knowledge source at query time. For documents stored in Google Cloud Storage that are updated regularly, RAG APIs help the chatbot ground its responses in the latest relevant policy documents without retraining the model. They do not provide a UI, automatically summarize all documents, or train the foundation model on the documents.
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