100+ Free AI-103 Azure AI Apps and Agents Developer Practice Questions

Plan and manage an Azure AI solution

Choose appropriate Foundry services and models for generative AI and agents, set up and deploy AI solutions, integrate CI/CD, manage quotas, scaling, rate limits and cost, secure with managed identity, private networking, keyless credentials and role policies, and implement responsible AI guardrails, evaluators, auditing, and oversight controls.

Implement generative AI and agentic solutions

Deploy and consume LLMs, small, code, and multimodal models, implement RAG, design tool-augmented and multistep reasoning workflows, build agents with roles, tool schemas, function calling and memory, orchestrate multi-agent and approval-gated flows, and optimize with prompt engineering, reflection, tracing, and token analytics.

Implement computer vision solutions

Generate and edit images and video from prompts and reference media, build multimodal understanding with Content Understanding including captioning, visual Q&A, alt-text, and object detection, and apply responsible AI such as visual content filters, indirect prompt-injection mitigation, and visual policy enforcement.

Implement text analysis solutions

Use language models and Foundry Tools to extract entities, topics, summaries, and structured JSON, detect sentiment, tone, safety issues and sensitive content, translate text with Azure Translator, and build speech-to-text, text-to-speech, custom speech, and speech-translation flows for agents.

Implement information extraction solutions

Build retrieval and grounding pipelines that ingest and index documents, images, audio, and video, configure semantic, hybrid, and vector search, apply OCR and enrichment skills, connect retrieval to agent tools, and extract document content into clean structured or markdown outputs with Content Understanding.