AI-103 - Microsoft Certified Azure AI Apps and Agents Developer Associate Cheat Sheet

9 practice tests · 329 questions

Pick an answer to see if it was correct and why, then continue.

Test 1
Choosing Foundry Models, Services, and Integration Options, Setting Up AI Solution Infrastructure and Deployments in Foundry, Managing Quotas, Scaling, Cost, and Monitoring for AI Workloads
41 questions
Test 2
Securing AI Systems: Identity, Networking, and Access Control, Responsible AI: Safety, Auditing, and Agent Governance, Deploying and Consuming Models in Foundry
36 questions
Test 3
Connecting Applications to Foundry: SDKs, Connectors, and Projects, Implementing RAG and Tool-Augmented Reasoning Workflows, Evaluating Generative Models and Applications
34 questions
Test 4
Defining and Building Core Agents: Roles, Retrieval, and Memory, Integrating Agent Tools and Knowledge Sources, Orchestrating Multi-Agent Solutions
36 questions
Test 5
Building Autonomous Agent Workflows with Safeguards, Monitoring and Evaluating Deployed Agents, Tuning Generation Behavior and Reflection Techniques
33 questions
Test 6
Observability and Hybrid Model Orchestration, Generating and Editing Images with Foundry, Generating and Editing Videos with Foundry
30 questions
Test 7
Multimodal Visual Analysis, Captioning, and Accessibility Descriptions, Azure Content Understanding for Visual and Video Data, Object, Component, and Region Detection in Images and Video
29 questions
Test 8
Responsible AI for Multimodal and Visual Content, Extracting and Structuring Text with Language Models, Sentiment, Safety Detection, and Text Translation
34 questions
Test 9 · Final
Implementing Speech Solutions for Agentic Interactions, Ingesting and Indexing Content for Search, Semantic, Hybrid, and Vector Search Configuration, Enrichment Pipelines, RAG Ingestion, and Agent-Connected Retrieval, Extracting and Structuring Document Content with Content Understanding
56 questions
+150 XP

Choosing Foundry Models, Services, and Integration Options, Setting Up AI Solution Infrastructure and Deployments in Foundry, Managing Quotas, Scaling, Cost, and Monitoring for AI Workloads

Securing AI Systems: Identity, Networking, and Access Control, Responsible AI: Safety, Auditing, and Agent Governance, Deploying and Consuming Models in Foundry

Connecting Applications to Foundry: SDKs, Connectors, and Projects, Implementing RAG and Tool-Augmented Reasoning Workflows, Evaluating Generative Models and Applications

Defining and Building Core Agents: Roles, Retrieval, and Memory, Integrating Agent Tools and Knowledge Sources, Orchestrating Multi-Agent Solutions

Building Autonomous Agent Workflows with Safeguards, Monitoring and Evaluating Deployed Agents, Tuning Generation Behavior and Reflection Techniques

Observability and Hybrid Model Orchestration, Generating and Editing Images with Foundry, Generating and Editing Videos with Foundry

Multimodal Visual Analysis, Captioning, and Accessibility Descriptions, Azure Content Understanding for Visual and Video Data, Object, Component, and Region Detection in Images and Video

Responsible AI for Multimodal and Visual Content, Extracting and Structuring Text with Language Models, Sentiment, Safety Detection, and Text Translation

Implementing Speech Solutions for Agentic Interactions, Ingesting and Indexing Content for Search, Semantic, Hybrid, and Vector Search Configuration, Enrichment Pipelines, RAG Ingestion, and Agent-Connected Retrieval, Extracting and Structuring Document Content with Content Understanding

Choosing Foundry Models, Services, and Integration Options, Setting Up AI Solution Infrastructure and Deployments in Foundry, Managing Quotas, Scaling, Cost, and Monitoring for AI Workloads

Securing AI Systems: Identity, Networking, and Access Control, Responsible AI: Safety, Auditing, and Agent Governance, Deploying and Consuming Models in Foundry

Connecting Applications to Foundry: SDKs, Connectors, and Projects, Implementing RAG and Tool-Augmented Reasoning Workflows, Evaluating Generative Models and Applications

Defining and Building Core Agents: Roles, Retrieval, and Memory, Integrating Agent Tools and Knowledge Sources, Orchestrating Multi-Agent Solutions

Building Autonomous Agent Workflows with Safeguards, Monitoring and Evaluating Deployed Agents, Tuning Generation Behavior and Reflection Techniques

Observability and Hybrid Model Orchestration, Generating and Editing Images with Foundry, Generating and Editing Videos with Foundry

Multimodal Visual Analysis, Captioning, and Accessibility Descriptions, Azure Content Understanding for Visual and Video Data, Object, Component, and Region Detection in Images and Video

Responsible AI for Multimodal and Visual Content, Extracting and Structuring Text with Language Models, Sentiment, Safety Detection, and Text Translation

Implementing Speech Solutions for Agentic Interactions, Ingesting and Indexing Content for Search, Semantic, Hybrid, and Vector Search Configuration, Enrichment Pipelines, RAG Ingestion, and Agent-Connected Retrieval, Extracting and Structuring Document Content with Content Understanding