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Microsoft AI-102 Dumps PDF
Designing and Implementing a Microsoft Azure AI Solution- 423 Questions & Answers
- Update Date : July 10, 2026
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Question 1
Select the answer that correctly completes the sentence.
Question 2
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-tuningB. Azure A1 Language Custom question answering
C. Azure OpenA1 GPI-4 with grounding data that uses Azure Al Search
D. Azure Al Document Intelligence
Question 3
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 learningB. affordance
C. chain of thought
D. priming
Question 4
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 entitiesB. learned entities
C. utterances
D. regular expression components
E. pre-built entity components
Question 5
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 modelB. a multi label classification project
C. a custom named entity recognition (NER) project
D. a multi label image classification model
Reviews
The AI-102 exam gave me real insight into how Azure Cognitive Services can be used in production.
Learning about designing and deploying AI solutions on Azure was a rewarding experience.
The vision API section was both interesting and challenging — great real-world relevance.
I loved the section on language understanding — the examples around LUIS were practical.
How difficult did you find the part about integrating AI models with existing applications?
Azure Bot Service was a fun area to explore; building intelligent bots felt intuitive.
The exam covers a lot about Responsible AI, which I think is very timely and important.
Deploying custom models to Azure AI Studio was one of the highlights of my learning journey.
I found it helpful to have some background in Python and REST APIs before attempting this exam.
How beneficial is AI-102 for professionals transitioning from data analysis to AI engineering?
The exam structure tested real design thinking, not just technical memory.
The labs on custom vision and translation API really helped in connecting concepts.
After completing AI-102, I can confidently design solutions using multiple Cognitive Services.
It’s amazing how Azure makes AI accessible for developers with minimal ML experience.
The Bot Framework Composer interface was easier to use than expected.
Does AI-102 certification have good career value in AI solution architecture?
Integrating AI solutions with Power Apps and Logic Apps was a pleasant surprise.
The knowledge I gained about responsible AI design was deeply impactful.
The text analytics and sentiment analysis modules were the most useful for my current job.
I appreciated that this exam focused on applying AI, not just theory.
The best part is learning to connect vision, speech, and language APIs together.
Azure Machine Learning integration made the hands-on labs much more realistic.
I found the deployment scenarios in the case studies to be quite challenging but fun.
This exam helped me understand scalability and governance for AI workloads.
Microsoft Learn’s AI-102 path was very comprehensive and clear.
The Bot Framework Composer interface was easier to use than expected.
The exam covers a lot about Responsible AI, which I think is very timely and important.
I found it helpful to have some background in Python and REST APIs before attempting this exam.
The Bot Framework Composer interface was easier to use than expected.
Deploying custom models to Azure AI Studio was one of the highlights of my learning journey.
The exam covers a lot about Responsible AI, which I think is very timely and important.
The Bot Framework Composer interface was easier to use than expected.
The labs on custom vision and translation API really helped in connecting concepts.
The text analytics and sentiment analysis modules were the most useful for my current job.
The AI-102 exam gave me real insight into how Azure Cognitive Services can be used in production.
The exam structure tested real design thinking, not just technical memory.
The best part is learning to connect vision, speech, and language APIs together.
The AI-102 exam gave me real insight into how Azure Cognitive Services can be used in production.