Designing and Implementing a Microsoft Azure AI Solution
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Update Date : July 16, 2026
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AI-102 Exam Dumps – Updated Designing and Implementing a Microsoft Azure AI Solution Practice Questions
Introduction to the Designing and Implementing a Microsoft Azure AI Solution Certification Exam
The AI-102 certification exam is an important credential for professionals who want to validate their knowledge and understanding of concepts, tools, and best practices related to Designing and Implementing a Microsoft Azure AI Solution. This exam is widely recognized and is often pursued by candidates looking to strengthen their professional profile and improve career opportunities.
Preparing for the AI-102 exam can be challenging due to a broad syllabus, evolving exam patterns, and limited preparation time. Many candidates look for reliable AI-102 exam questions and structured preparation resources to better understand exam topics and gain confidence before appearing in the real exam.
Using updated practice questions and exam-oriented study resources helps candidates align their preparation with current exam requirements.
Knowledge Areas Covered in the AI-102 Exam
The Designing and Implementing a Microsoft Azure AI Solution exam evaluates a candidate’s understanding of key knowledge areas relevant to the certification. While exact topics may vary, the exam generally focuses on:
Core concepts related to Designing and Implementing a Microsoft Azure AI Solution
Understanding of tools, technologies, or frameworks covered in the exam
Application of best practices and standard methodologies
Problem-solving and analytical thinking
Scenario-based or concept-driven questions
A structured preparation approach using real AI-102 exam questions helps candidates focus on the areas that matter most.
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Microsoft AI-102 Sample Questions
Question # 1
You have a product support manual.
You need to build a product support chatbot based on the manual. The solution must
minimize development effort and costs.
What should you use?
A. Azure Al Phi-3-medium with fine-tuning B. Azure A1 Language Custom question answering C. Azure OpenA1 GPI-4 with grounding data that uses Azure Al Search D. Azure Al Document Intelligence
Answer : B
Question # 2
You have an Azure subscription. The subscription contains an Azure OpenAI resource that
hosts a GPT-3.5 Turbo model named Model1.
You configure Model1 to use the following system message: "You are an Al assistant that
helps people solve mathematical puzzles. Explain your answers as if the request is by a 4-
year-old."
Which type of prompt engineering technique is this an example of?
A. few-shot learning B. affordance C. chain of thought D. priming
Answer : A
Question # 3
You are building an app that uses a Language Understanding model to analyze text files.
You need to ensure that the app can detect the following entities:
• Temperatures
• Currency values
• Email addresses
• Telephone numbers
The solution must minimize development effort.
Which model capability should you use?
A. list entities B. learned entities C. utterances D. regular expression components E. pre-built entity components
Answer : E
Question # 4
You have a training dataset that contains 10,000 PDF documents. The documents contain
scanned books, comics, and magazines.
You are building a solution that will use Azure Al and a custom model.
You need to train the model by using Language Studio. The solution must meet the
following requirements:
• Tag each item as a book, comic, or magazine.
• Minimize development effort.
What should you use?
A. a custom extraction model B. a multi label classification project C. a custom named entity recognition (NER) project D. a multi label image classification model
Answer : B
Question # 5
You have an Azure DevOps pipeline named Pipeline1 that is used to deploy an app.
Pipeline1 includes a step that will create an Azure AI services account.
You need to add a step to Pipeline1 that will identify the created Azure AI services account.
The solution must minimize development effort.
Which Azure Command-Line interface (CLI) command should you run?
A. Az resource link B. Az account list C. Az cognitivesservices account network-rule D. As cognitiveservices account show
Answer : D
Question # 6
Note: This question is part of a series of questions that present the same scenario. Each
question in the series contains a unique solution that might meet the stated goals. Some
question sets might have more than one correct solution, while others might not have a
correct solution. After you answer a question in this section, you will NOT be able to return to it. As a result,
these questions will not appear in the review screen.
You are building a chatbot that will use question answering in Azure Cognitive Service for
Language.
You have a PDF named Doc1.pdf that contains a product catalogue and a price list
You upload Doc1.pdf and train the model.
During testing, users report that the chatbot responds correctly to the following question:
What is the price of ?
The chatbot fails to respond to the following question: How much does < product > cost?
You need to ensure that the chatbot responds correctly to both questions.
Solution: From Language Studio, you add alternative phrasing to the question and answer
pair, and then retrain and republish the model.
Does this meet the goal?
A. Yes B. No
Answer : A
Question # 7
You have an Azure subscription that contain an Azure OpenAI resource named AI1.
You build a chatbot that uses AI1 to provide generation answers to specific questions.
You need to ensure that the chatbot checks all input output for objectionable content.
Which types of resource should you create first?
A. Azure Machine Learning B. Log Analytics C. Azure AI Content Safety D. Microsoft Defender Threat intelligence (Defender TI)
Answer : C
Question # 8
You have an Azure OpenAI model.
You have 500 prompt-completion pairs that will be used as training data to fine-tune the
model.
You need to prepare the training data.
Which format should you use for the training data file?
A. XML B. JSONL C. CSV D. TSV
Answer : B
Question # 9
You have an Azure OpenAI model named All.
You are building a web app named App1 by using the Azure OpenAI SDK You need to configure App1 to connect to All What information must you provide?
A. the endpoint, key, and model name B. the deployment name, endpoint. and key C. the endpoint, key, and model type D. the deployment name, key, and model name
Answer : B
Question # 10
You are designing a content management system.
You need to ensure that the reading experience is optimized for users who have reduced
comprehensive and learning differences, such as dyslexia.
Which Azure service should you include in the solution?
A. Azure AI Translator B. Azure AI Document Intelligence C. Azure AI Immersive Reader D. Azure AI Language
Answer : C
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The AI-102 exam was challenging, but these practice questions from p2pcerts really helped me focus on the right topics. The format was spot-on, and the explanations cleared up a lot of confusion I had while studying on my own.
I passed the AI-102 exam on my first attempt, and a big part of that was having access to such accurate and well-explained practice material from P2PCerts. It felt like I was walking into the real exam already prepared.