Designing and Implementing a Microsoft Azure AI Solution Exam Prep
The Designing and Implementing a Microsoft Azure AI Solution (AI-102) exam validates plan and manage an azure ai solution, implement knowledge mining and azure ai search solutions, implement generative ai solutions, implement natural language processing solutions. ExamPal publishes 100 premium questions and a 40-question free practice exam mapped across 6 blueprint domains. The local official-details index records: Microsoft does not publish a fixed count; typically 40-60; 100 minutes; Multiple choice, multi-select, case study/lab or interactive item types may appear. Candidates should verify current registration, pricing, and scoring details with the official exam authority before booking.
Exam Details
Exam Overview
Administered by
Microsoft
Exam Format
Microsoft does not publish a fixed count; typically 40-60; 100 minutes; Multiple choice, multi-select, case study/lab or interactive item types may appear
Passing Score
Verify current official exam guide
Exam Fee
Country/region based; US list price commonly $165
Prerequisite
Review Microsoft Learn study guide, practice assessment, sandbox, prep videos.
Topics Covered
ExamPal covers all major topics tested on the Designing and Implementing a Microsoft Azure AI Solution exam. Our questions are grounded in official study materials.
Plan and Manage an Azure AI Solution
Covers planning, provisioning, securing, monitoring, governing, and optimizing Azure AI solutions across supported service types and deployment environments. This domain also includes responsible AI and governance practices needed for production AI workloads.
Implement Knowledge Mining and Azure AI Search Solutions
Covers designing, enriching, extending, querying, and consuming Azure AI Search solutions for enterprise knowledge mining. This domain includes indexing, cognitive enrichment, vector and semantic retrieval, and search experience design.
Implement Generative AI Solutions
Covers building, grounding, evaluating, filtering, and orchestrating generative AI solutions. This domain emphasizes Azure OpenAI model usage, RAG, prompt engineering, safety, and workflow orchestration.
Implement Natural Language Processing Solutions
Covers text analysis, conversational language understanding, question answering, document-grounded chat, translation, and speech-enabled NLP. This domain focuses on Azure AI Language, CLU, Translator, and speech capabilities.
Implement Computer Vision and Document Intelligence Solutions
Covers image, video, OCR, custom vision, and document intelligence solutions. This domain includes extracting insights from visual content and structured data from business documents.
Implement Agentic Solutions
Covers designing, implementing, controlling, evaluating, and securing agent-based AI systems. This domain focuses on when to use agents, how to orchestrate tools and actions, and how to govern execution safely.
Exam Blueprint
What the Designing and Implementing a Microsoft Azure AI Solution Exam Tests
The exam is divided into 6 domains. Here is what each domain covers and how much weight it carries on the test.
Domain 1: Plan and Manage an Azure AI Solution
24% of examCovers planning, provisioning, securing, monitoring, governing, and optimizing Azure AI solutions across supported service types and deployment environments. This domain also includes responsible AI and governance practices needed for production AI workloads.
- Task 1.1: Select and provision Azure AI services
- Choose appropriate Azure AI services
- Select pricing tiers, regions, and deployment options
- Differentiate resource and platform capabilities
- Plan for quotas and service limits
- Task 1.2: Secure Azure AI solutions
- Implement authentication methods
Key references: AI-102 official exam guide · ExamPal shared topic tree
Domain 2: Implement Knowledge Mining and Azure AI Search Solutions
20% of examCovers designing, enriching, extending, querying, and consuming Azure AI Search solutions for enterprise knowledge mining. This domain includes indexing, cognitive enrichment, vector and semantic retrieval, and search experience design.
- Task 2.1: Design an Azure AI Search index solution
- Create and manage indexing components
- Define searchable and retrievable fields
- Configure ranking and analysis features
- Select appropriate search tiers
- Task 2.2: Build enrichment pipelines for unstructured content
- Use built-in cognitive skills
Key references: AI-102 official exam guide · ExamPal shared topic tree
Domain 3: Implement Generative AI Solutions
22% of examCovers building, grounding, evaluating, filtering, and orchestrating generative AI solutions. This domain emphasizes Azure OpenAI model usage, RAG, prompt engineering, safety, and workflow orchestration.
- Task 3.1: Build solutions with Azure OpenAI models
- Select appropriate model types
- Configure production deployments
- Structure prompts with roles
- Control generation parameters
- Task 3.2: Implement retrieval-augmented generation (RAG)
- Ground responses with enterprise data
Key references: AI-102 official exam guide · ExamPal shared topic tree
Domain 4: Implement Natural Language Processing Solutions
14% of examCovers text analysis, conversational language understanding, question answering, document-grounded chat, translation, and speech-enabled NLP. This domain focuses on Azure AI Language, CLU, Translator, and speech capabilities.
- Task 4.1: Analyze and understand text with Azure AI Language
- Detect text features
- Use appropriate text analytics features
- Apply PII detection and redaction
- Interpret confidence and limitations
- Task 4.2: Build conversational language understanding solutions
- Create CLU projects
Key references: AI-102 official exam guide · ExamPal shared topic tree
Domain 5: Implement Computer Vision and Document Intelligence Solutions
12% of examCovers image, video, OCR, custom vision, and document intelligence solutions. This domain includes extracting insights from visual content and structured data from business documents.
- Task 5.1: Analyze images and video with Azure AI Vision
- Generate visual insights
- Classify visual content
- Select image or video features
- Interpret confidence and optimize input
- Task 5.2: Extract text from visual content
- Use OCR and Read
Key references: AI-102 official exam guide · ExamPal shared topic tree
Domain 6: Implement Agentic Solutions
8% of examCovers designing, implementing, controlling, evaluating, and securing agent-based AI systems. This domain focuses on when to use agents, how to orchestrate tools and actions, and how to govern execution safely.
- Task 6.1: Design agent-based AI solutions
- Identify appropriate agentic use cases
- Define agent components
- Design agent patterns
- Balance autonomy and control
- Task 6.2: Implement tools and orchestration for agents
- Connect agents to enterprise systems
Key references: AI-102 official exam guide · ExamPal shared topic tree
Why study with ExamPal
Everything you need to prepare for and pass the Designing and Implementing a Microsoft Azure AI Solution exam, in one app.
- 100 AI-102 premium practice questions
- Free 40-question interactive practice exam
- 6 blueprint domains covered
- 37 glossary terms loaded from the shared terminology pack
- Detailed explanations and per-option rationales for study review
- Domain-level review paths with study guide, glossary, and static question pages
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