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Generative AI Leader Practice Question: A media company uses a generative AI model to…
A media company uses a generative AI model to create marketing images. They want to ensure that AI-generated images can be identified as synthetic. Which Google Cloud capability should they use?
⚠ Common exam trap
Many exam-takers confuse content-analysis services (Cloud Vision, DLP) with provenance/watermarking capabilities — candidates often assume any Google Cloud AI API can 'detect AI images,' but only SynthID is designed for that purpose.
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
✓
SynthID
SynthID is Google DeepMind's watermarking technology that embeds imperceptible digital watermarks into AI-generated content, including images, and provides a detector to identify them as synthetic. It is purpose-built for provenance and identification of generative AI output, matching the media company's requirement.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
SynthID
Why this is correct
SynthID embeds imperceptible digital watermarks directly into AI-generated image pixels, enabling later detection that content is synthetic. This satisfies the media company's requirement to identify generated marketing images as artificial, since the watermark survives common edits and transformations that would defeat metadata-based labelling approaches.
- ✗
Cloud Vision API
Why it's wrong here
Cloud Vision API performs label, OCR and face detection on existing images; it cannot embed provenance signals identifying output as synthetic. It is tempting because it analyses image content, but that is for understanding images, whereas marking AI-generated images requires SynthID watermarking at generation time.
- ✗
Data Loss Prevention (DLP) API
Why it's wrong here
DLP API detects and redacts sensitive data in text and images; it does not embed provenance metadata marking content as synthetic. It is tempting because DLP handles image content inspection, but that is for data-loss prevention, whereas identifying AI-generated images requires SynthID watermarking.
- ✗
Vertex AI Model Registry
Why it's wrong here
Vertex AI Model Registry catalogues, versions and tracks model artefacts; it does not alter generated image output to embed synthetic markers. It is tempting because it governs generative models, but that is for model lifecycle management, whereas identifying AI-generated images requires SynthID watermarking embedded at generation.
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JA
Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed September 2026 · checked against the official Google Cloud exam blueprint
This Generative AI Leader practice question is part of Courseiva's free Google Cloud certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the Generative AI Leader exam.