Implement responsible AI across generative AI and agentic systems
8 practice questions under this official exam objective (AI-103), each with the answer key, an option-by-option explanation and instant feedback.
Questions under this objective
8 total · page 1 of 1Mitigating Indirect Prompt Injection in Multimodal AI
Learn why configuring a prompt shield for user prompts fails to protect against hidden instructions in uploaded images. The correct answer is No (B),
Which control protects Agent1 from hidden product-sheet instructions?
Prompt Shields in Microsoft Foundry content safety is the control that addresses indirect prompt injection from product-sheet content. The answer is A
Azure AI Immersive Reader for Dyslexia-Friendly Reading
This AI-103 design question asks which Azure service improves reading for users with dyslexia at minimal development cost. Azure AI Immersive Reader (
Transparency Principle for User-Generated Video and Text
This AI-103 responsible AI question asks which principle is met by telling users their uploaded video and text were processed by the sales system. The
Does Content Safety Monitor Online Activity Optimize Filters?
Microsoft Foundry content filter tuning requires testing sample questions against moderation thresholds, not observing production traffic. The Content
Moderate Input Text Against a Custom Blocklist in Foundry
This AI-103 hotspot tests Content Safety custom blocklist moderation from Python. The answer is an AnalyzeTextOptions request with text, blocklist_nam
Does Protected Material Detection Optimize Content Filter Configuration in Foundry?
Optimizing an Azure Microsoft Foundry agent's content filter requires testing sample questions against severity thresholds and blocklists, not running
Does the Safety Metaprompt Test Content Filter Configurations?
This AI-103 scenario asks whether the Safety metaprompt in Content Safety Studio can optimize a Foundry content filter by running sample questions aga