We're so confident of our products that we provide no hassle product exchange.
Microsoft AI-103 Exam Overview:
| Certification Vendor: | Microsoft |
| Exam Name: | Developing AI Apps and Agents on Azure AI |
| Exam Number: | AI-103 |
| Available Languages: | English |
| Related Certifications: | Microsoft Certified: Azure AI Engineer Associate Microsoft Certified: Azure AI Fundamentals Microsoft Certified: Azure Developer Associate |
| Certificate Validity Period: | 1 year (renewable via Microsoft Learn assessment) |
| Passing Score: | 700/1000 |
| Real Exam Qty: | 40-60 |
| Exam Price: | USD 165 (may vary by region) |
| Exam Duration: | 120-180 |
| Exam Format: | Multiple choice, Multiple response, Case studies, Drag and drop, Scenario-based questions |
| Recommended Training: | Azure OpenAI Service Documentation Microsoft Learn - Azure AI Engineer Learning Path |
| Exam Registration: | Microsoft Certification Dashboard Pearson VUE Microsoft Exams |
| Sample Questions: | Microsoft AI-103 Sample Questions |
| Exam Way: | Online proctored exam or authorized test center |
| Pre Condition: | Recommended: experience with Azure services, Python or C#, and basic machine learning concepts. Prior knowledge of Azure AI-102 or equivalent is helpful but not mandatory. |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/certifications/azure-ai-engineer/ |
Microsoft AI-103 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Knowledge Mining and Information Retrieval | - Indexing and semantic search - Azure AI Search configuration - RAG (Retrieval Augmented Generation) patterns |
| Topic 2: Implement Natural Language Processing Solutions | - Text analytics and summarization - Translation and multilingual support - Language understanding and intent recognition |
| Topic 3: Develop Generative AI Applications and Agents | - Azure OpenAI Service integration
|
| Topic 4: Implement Computer Vision Solutions | - Image classification and object detection - OCR and document intelligence |
| Topic 5: Plan and Manage Azure AI Solutions | - Model selection and lifecycle management - Azure AI resource provisioning and configuration - Responsible AI principles and governance |
Microsoft Developing AI Apps and Agents on Azure Sample Questions:
1. You have an application named App1 that uses Azure Speech in Foundry Tools to transcribe live calls.
Transcript segments often contain both English and Spanish. App1 sends each segment to Azure Translator in Foundry Tools to translate to another language.
Sometimes, mixed-language segments result in incomplete or incorrect translations.
You need to reduce translation errors. The solution must ensure that the entire transcript is translated successfully.
What should you do before sending the segments to Translator?
A) Specify English as the source language in the translation request for all the segments.
B) Use document translation to translate the entire transcript as a single document.
C) Split the mixed-language segments into single-language segments and translate each segment separately.
D) Enable automatic language detection for the translation request.
2. Hotspot Question
You have a Microsoft Foundry project that contains a customer support agent built by using the Foundry Agent Service.
The agent uploads user-provided screenshots to Azure Storage through a ticketing tool and receives a blob URL for additional reasoning.
You need to use image moderation during agent runs and prevent harmful content from being returned during runs. Azure AI Content Safety must access the images by using the blob URL.
The solution must follow the principle of least privilege.
What should you configure for Content Safety? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
3. You have an application that uses a prebuilt Azure Language model.
You need to generate a summary that meets the following requirements:
- Identify each presenter in the video and attribute each text file to
sentences
- Preserves the original sentence order
- Returns exactly three sentences
Which Language service feature should you use?
A) key phrase extraction
B) abstractive summarization
C) sentiment analysis
D) extractive summarization
4. Hotspot Question
You need to recommend a plan to create a customer support agent by using the Microsoft Foundry Agent Service. The agent must meet the following requirements:
- Retain user preferences across multiple conversations.
- Enable users to provide contextual grounding by directly uploading
documents during a chat.
Which Foundry capability should you recommend for each requirement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
5. You are building a chatbot.
You need to ensure that the chatbot can classify user input into separate categories. The categories must be dynamic and defined at the time of inference.
Which service should you use to classify the input?
A) Azure OpenAI text classification
B) Azure AI Language custom named entity recognition (NER)
C) Azure OpenAI text summarization
D) Azure AI Language custom text classification
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: Only visible for members | Question # 3 Answer: D | Question # 4 Answer: Only visible for members | Question # 5 Answer: A |
By Quinn
