Question 41
What does Vertex AI Search enable companies to do?
A. To ground LLM responses with first-party data, third-party data and Google’s knowledge graph.
B. To surface the most popular and frequently accessed content based on global user search patterns and trends.
C. To index and retrieve information from the entire public web, providing a comprehensive view of publicly available data.
D. To compare products from numerous online retailers, allowing users to find the best deals and product options across the internet.
Question 42
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 filter out potentially harmful or inappropriate content from the model’s output based on the desired level of filtering.
B. To limit the maximum text length that the model generates by ensuring concise responses.
C. To determine the number of tokens the model can process at once by influencing the complexity and length of inputs and outputs.
D. To control the creativity and randomness of the model’s output by adjusting the diversity of word choices.
Question 43
A company is defining their generative AI strategy. They want to follow Google-recommended practices to increase their chances of success. Which strategy should they use?
A. Bottom-up strategy
B. Rapid implementation strategy
C. Top-down strategy
D. Multi-directional strategy
Question 44
A retail company with a large online catalog wants to improve customer experience and drive sales by implementing multimodal search capabilities (image voice, and text). What is a primary business benefit of this capability?
A. Reduced dependency on keyword optimization for product listings and improved search engine rankings.
B. Streamlined inventory management processes and more accurate demand forecasting for popular items.
C. Lowered operational costs associated with managing and updating product information across different platforms and channels.
D. Improved customer engagement and product discovery leading to increased satisfaction and potential sales.
Question 45
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. Fine-tune the gen AI model.
B. Collect a larger and more diverse dataset for the gen AI model.
C. Implement explainable gen AI policies.
D. Develop fairness assessments for the gen AI model.
Question 46
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.
Question 47
According to Google-recommended practices, when should generative AI be used to automate tasks?
A. When tasks are highly creative and require original thought.
B. When tasks are complex and require strategic decision-making.
C. When tasks are repetitive and rule-based.
D. When tasks involve sensitive information or require human oversight.
Question 48
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.
