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GCP Generative AI Leader Practice Question 12: Gen AI or Traditional AI

Google Cloud Generative AI Leader · Test 2 · question 2 of 10

Fundamentals of Gen AImedium

Four business units have each pitched an AI project to a grocery chain's steering committee. The committee wants to fund the one pitch that genuinely needs generative AI, and to send the rest to the existing analytics team, which already builds classification and forecasting models on the chain's structured sales tables.

Which pitch should be funded as a generative AI project?

Select one answer
Show answer and explanation

Answer:

  • A. Merchandising wants to turn thousands of free-text supplier product sheets into consistently written catalog descriptions in four languages

Google Cloud's guidance on when to use generative AI or traditional AI puts content creation, summarization, translation, and document understanding squarely in the generative camp: gen AI models create summaries, uncover hidden correlations, and generate new content that reflects the patterns in their training data. Rewriting unstructured supplier sheets into polished, multilingual catalog copy is content generation and translation over unstructured text, so option A is the pitch that needs gen AI.

- B is wrong because revenue forecasting from historical weekly figures is a predictive task on structured data, traditional AI territory, and the analytics team already does it. - C is wrong because scoring transactions against labeled past cases is classification, the textbook traditional AI use case. Gen AI would add cost and variability with no benefit. - D is wrong for the same reason as B: demand prediction from historical shipment data is forecasting on structured, tabular data, which traditional models handle more cheaply and more predictably than a foundation model would.

Reference: When to use generative AI or traditional AI

Practice Test 2 ›

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