01. A company is planning to integrate generative AI into its operations but is wary of becoming dependent on a single technology provider. They prioritize the ability to choose and integrate different AI tools and platforms as their needs evolve.
Which inherent characteristic of Google Cloud would address this concern?
a) Google Cloud's emphasis on an open approach within its AI offerings.
b) Google Cloud's commitment to tightly integrated, proprietary AI solutions
c) Google Cloud's strategy prioritizing fully managed AI services that simplify the user experience
d) Google Cloud's primary focus on automating AI workflows
02. A human resources department deploys a generative AI (gen AI) model to screen job applications and provide a shortlist of candidates to recruiters. Recruiters notice that some seemingly qualified candidates are consistently being overlooked, but the AI provides no explanation for its rankings or exclusions.
The company needs to address this lack of transparency. What should they do?
a) Collect a larger and more diverse dataset for the gen AI model.
b) Fine-tune the gen AI model.
c) Implement explainable gen AI policies.
d) Develop fairness assessments for the gen AI model.
03. A tech company has separate teams using different tools for their machine learning projects, causing duplicated work and scaling issues. They need a central platform to manage all their AI development, deployment, and monitoring efficiently.
Which Google Cloud offering should they use?
a) Cloud Functions
b) Vertex AI
c) Google Agentspace
d) BigQuery
04. Which two benefits do organizations typically achieve from adopting gen AI strategically?
(Choose two)
a) Full elimination of all manual workflows
b) Faster content creation and customization
c) Improved personalization for customers
d) Guaranteed zero hallucinations
05. Which two use cases benefit most from prompt chaining?
(Choose two)
a) Multi-step reasoning tasks
b) Image segmentation
c) Conversational workflows
d) Neural architecture search
06. A business analyst asks a generative AI model about the quarterly revenue of a small startup that recently entered the market. The model confidently provides a specific revenue figure and even mentions a supposed press release detailing the company's success. However, after further investigation, the analyst discovers that the startup has not yet released any financial reports, and no such press release exists.
The information provided by the AI model is entirely fabricated despite sounding plausible. Which type of large language model limitation does this exemplify?
a) Bias
b) Knowledge cutoff
c) Data dependency
d) Hallucinations
07. A company lacks extensive in-house machine learning and AI expertise. How does Google Cloud democratize AI?
a) By offering exclusive access to its most powerful AI models for high-spending clients.
b) By providing a comprehensive AI platform with low-code/no-code tools, pre-trained models, and easy-to-use APIs.
c) By providing fully automated AI solutions requiring no technical user input.
d) By offering free custom AI solution development and deployment for all businesses.
08. A research scientist wants to use Veo to visualize live, fluctuating data streams on a real-time dashboard. Why would Veo be a poor choice for this particular task?
a) Veo generates videos from static inputs like text or images and cannot process or dynamically visualize live data.
b) Veo may lack specific scientific visualization styles needed for accurate data representation.
c) Veo use for this scenario would require too many computational resources.
d) Veo is designed for short-form video, not continuous, long-duration live data displays.
09. What is the definition of a generative AI (gen AI) model?
a) A physical device that houses the hardware components of a gen AI system.
b) A complex algorithm trained on vast amounts of data to learn patterns and relationships.
c) A user interface that allows users to interact with a gen AI system.
d) A set of rules and guidelines governing responsible development and use of gen AI.
10. Which two business use cases would benefit most from text generation capabilities?
(Choose two)
a) Sentiment analysis
b) Automated report creation
c) Email drafting for support
d) Fraud detection
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