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Skills measured
- Implement natural language processing solutions (20-25%)
- Plan and manage an Azure Cognitive Services solution (15-20%)
- Implement conversational AI solutions (15-20%)
- Implement knowledge mining solutions (15-20%)
- Implement Computer Vision solutions (20-25%)
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/ai-102
How to study the AI-102: Designing and Implementing an Azure AI Solution Exam
Preparation of certification exams could be covered with two resource types . The first one are the study guides, reference books and study forums that are elaborated and appropriate for building information from ground up. Apart from them video tutorials and lectures are a good option to ease the pain of through study and are relatively make the study process more interesting nonetheless these demand time and concentration from the learner. Smart candidates who wish to create a solid foundation altogether examination topics and connected technologies typically mix video lectures with study guides to reap the advantages of each but practice exams or practice exam engines is one important study tool which goes typically unnoted by most candidates. Practice exams are designed with our experts to make exam prospects test their knowledge on skills attained in course, as well as prospects become comfortable and familiar with the real exam environment. Statistics have indicated exam anxiety plays much bigger role of students failure in exam than the fear of the unknown. TopExamCollection expert team recommends preparing some notes on these topics along with it don't forget to practice AI-102 exam dumps which had been written by our expert team, each of these can assist you loads to clear this exam with excellent marks.
Microsoft AI-102 Korean Exam Overview:
| Certification Vendor: | Microsoft |
| Exam Name: | Designing and Implementing a Microsoft Azure AI Solution |
| Exam Number: | AI-102 |
| Exam Price: | USD 165 (varies by country/region) |
| Certificate Validity Period: | 1 year (renewable annually via Microsoft certification renewal assessment) |
| Exam Format: | Multiple choice, Multiple response, Case studies, Drag and drop, Build/review solution scenarios |
| Passing Score: | 700 (out of 1000) |
| Real Exam Qty: | 40-60 (approximate range) |
| Available Languages: | English, Japanese, Simplified Chinese, Korean, German, French, Spanish (Latin America), Portuguese (Brazil) |
| Exam Duration: | 100-120 |
| Related Certifications: | Microsoft Certified: Azure AI Fundamentals (AI-900) |
| Recommended Training: | Microsoft Learn AI-102 Learning Path Azure AI Engineer Associate Study Resources |
| Exam Registration: | Microsoft Certification Exam Registration (Pearson VUE) Microsoft Learn AI-102 Certification Page |
| Sample Questions: | Microsoft AI-102 Korean Sample Questions |
| Exam Way: | Online proctored or onsite test center (Pearson VUE) |
| Pre Condition: | No formal prerequisites required, but familiarity with Azure fundamentals and AI/ML concepts is recommended |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/certifications/azure-ai-engineer/ |
For more info read reference:
microsoft learning site AI-102 Skills measured Publish a Machine Learning Experiment with Microsoft Azure Machine Learning Studio Process and translate speech with Azure Cognitive Speech Services
Exam Details
Speaking of the exam details, the test will contain from 40 to 60 questions of various types which you need to complete within 100 or 120 minutes (depends on the inclusion of labs). To pass the exam you need to schedule the test on the PearsonVUE platform, pay an exam fee which is currently $165, and score at least 700 points or more out of 1000. And, of course, the knowledge of exam topics is a must.
Microsoft AI-102 Korean Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Plan and Manage an Azure AI Solution | - Select appropriate Azure AI services - Manage security, compliance, and responsible AI - Plan solution requirements and architecture |
| Implement Computer Vision Solutions | - Extract information using OCR and form recognition - Analyze images and videos using Azure AI Vision - Implement custom vision models |
| Implement Natural Language Processing Solutions | - Translate and interpret language using Azure AI services - Analyze text using Azure AI Language - Implement question answering and conversational AI |
| Implement Knowledge Mining and Document Intelligence | - Build Azure AI Search solutions - Enrich and index data for search scenarios - Implement document intelligence solutions |
| Implement Generative AI Solutions | - Integrate prompt engineering techniques - Build retrieval-augmented generation (RAG) solutions - Implement Azure OpenAI Service solutions |
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