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Generative AI Leader Practice Question: A data scientist needs to generate high-quality…
A data scientist needs to generate high-quality images from text prompts using Google Cloud. Which service should they use?
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
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Imagen
Imagen is Google Cloud's text-to-image diffusion model. PaLM 2 and Gemini are primarily text models; Codey is for code generation.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
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Imagen
Why this is correct
Imagen is Google Cloud's text-to-image generation model, converting natural-language prompts directly into high-quality images. It satisfies the stem's requirement for image generation on Google Cloud, unlike Vertex AI's text-focused Gemini models or unrelated analytics services. The data scientist should therefore select Imagen.
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PaLM 2
Why it's wrong here
PaLM 2 is a text-focused large language model handling natural-language and code prompts, not image synthesis, so it returns text rather than pictures. It tempts as a flagship Google Cloud generative AI offering, and would be correct for summarisation, chat, classification or reasoning over text.
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Gemini Pro Vision
Why it's wrong here
Gemini Pro Vision analyses and interprets existing images and text, but does not synthesise new images from prompts. It is tempting because it is a Gemini multimodal model on Google Cloud, making it the right choice when the task is captioning, classifying or extracting information from supplied images.
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Codey
Why it's wrong here
Codey is Google's family of code-generation models, producing or completing source code rather than pixels, so it cannot render images from text prompts. It tempts because it is a genuine Google Cloud generative AI service, and would be the right pick for tasks such as code completion, code explanation or unit-test generation.
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