Master the AI-102 Exam: How to Prepare for Microsoft Azure AI Engineer Associate Certification?

In the dynamic world of artificial intelligence (AI), the Microsoft Azure AI Engineer Associate certification (AI-102 Exam) is a valuable credential for anyone looking to advance their career in AI development and deployment. This guide is designed to help you navigate through the AI-102 study resources, understand the exam structure, and prepare efficiently for success

What is Azure AI Engineer Associate?

Let’s start with a super easy explanation! Azure AI Engineer Associate is like becoming the superhero of the artificial intelligence (AI) world! 🎉 You get to play with AI technology, understand how it works, and help businesses use it to do smart things—like talking to robots or making computers think like humans! Cool, right?

The AI-102 Designing and Implementing an Azure AI Solution exam tests your ability to design, build, and deploy AI solutions using Azure Cognitive Services. The exam covers various aspects, from natural language processing (NLP) to computer vision and AI deployment techniques.

Why Choose the AI-102 Certification?

You’re probably wondering, “Why should I bother with this certification?” Well, imagine you’re learning to ride a bike. 🚲 At first, you need those training wheels, but then, once you’ve mastered it, you’re zooming down the street! 🏎️ That’s what this certification does. It’s your fast track to becoming an AI whiz! Plus, AI is everywhere these days, and companies love hiring people who can work with it. 😉

Certification is not just a badge—it’s a statement of your skills and expertise. By earning the AI-102 certification, you showcase your proficiency in AI solutions using Microsoft Azure Cognitive Services, which sets you apart from the competition.

Official Practice Assesment for AI-102 Mock Test Questions and Answers

Let’s jump into practices assesments questions to give you an idea of what to expect. Ready? Let’s go!

Who Should Take This Exam?

Are you someone who loves solving problems? Or maybe you like playing with technology and figuring out how things work? Well, guess what? The AI-102 certification is perfect for you! It’s like taking a fun puzzle-solving challenge, but for grown-ups (although kids could totally do it if they wanted to!). 🎮

The AI-102 certification is ideal for developers, data scientists, or anyone involved in AI solution development using Microsoft Azure. If you already have experience in AI and wish to formalize your expertise, this certification is for you.

Mock Test AI-102 Exam Questions and Answers

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Official Free Practice Assessment for Exam AI-102

🧠 Assess Your Knowledge!

Dive into practice assessments to get a feel for the question styles, wording, and level of difficulty you’ll face in the exam. These assessments will help you gauge your readiness, identify areas that need more focus, and bridge any knowledge gaps. With each practice, you’re a step closer to acing that exam! 🚀

Ready to conquer it? 🎯

1 / 20

You are building an app that will enable users to create notes by using speech.

You need to recommend the Azure AI Speech service model to use. The solution must support noisy environments.

• Which model should you recommend?

base

base with customizations

custom speech-to-text

default

The custom speech-to-text model is correct, as you need to adapt the model because a factory floor might have ambient noise, which the model should be trained on.

Speech-to-text FAQ – Azure Cognitive Services | Microsoft Learn

Create speech-enabled apps with the Speech service – Training | Microsoft Learn

2 / 20

You are building an app that will recognize the intent and entities of user utterances in real-time.

You need to implement the pattern matching intent recognition mechanism. The solution must only detect entities that you define in a catalog of phrases.

Which entity type should you use?

the List entity using Fuzzy mode

the List entity using Strict mode

the prebuilt entity using Fuzzy mode

the prebuilt entity using Strict mode

the regex entity using Fuzzy mode

the regex entity using Strict mode

The List entity is made up of a list of phrases that will guide the engine on how to match the text. When an entity has an ID of type List and is in Strict mode, the engine will only match if the text in the slot appears in the list.

Pattern Matching overview – Azure Cognitive Services | Microsoft Learn

Create speech-enabled apps with the Speech service – Training | Microsoft Learn

3 / 20

You are building an app that uses Azure AI Services Document Translation.

You need to improve the quality of the translation for user-uploaded documents.

What should you ask the users to include when they upload a document?

a summary

the file format

the source language

the writing style

If the language of the content in the source document is known, it is recommended to specify the source language in the request to get a better translation.

Frequently asked questions – Document Translation – Azure Cognitive Services | Microsoft Learn

Translate text with the Translator service – Training | Microsoft Learn

4 / 20

You have an app named App1 that analyzes social media mentions and determines whether comments are positive or negative.

During testing, you notice that App1 generates negative sentiment analysis in response to customer feedback that contains positive feedback.

You need to ensure that App1 includes more granular information during the analysis.

What should you add to the API requests?

loggingOptOut=true

StringIndexType=TextElements_v8

opinionMining=true

opinionMining=true will add aspect-based sentiment analysis, which in turn will make the sentiment more granular so that positive and negative in a single sentence can be returned.

loggingOptOut=true will opt out of logging and StringIndexType=TextElements_v8 will set the returned offset and length values to correspond with TextElements.

Text Analysis Runtime – Analyze Text – REST API (Azure Cognitive Services – Language) | Microsoft Learn

How to perform sentiment analysis and opinion mining – Azure Cognitive Services | Microsoft Learn

Extract insights from text with the Language service – Training | Microsoft Learn

5 / 20

You have an app that sends audio recordings from a call center to the speech-to-text feature of Azure AI Services.

During testing, you notice that the Word Error Rate (WER) is high and there are a lot of substitution errors.

You need to improve the model and reduce the WER.

What should you add to the training data?

custom product and people names

overlapping speakers

people talking in the background

Substitution errors are due to the model needing more training on custom product names and people names.

Overlapping speakers define when there are more deletion errors. People talking in the background are detected when there are more insertion errors.

Test accuracy of a Custom Speech model – Speech service – Azure Cognitive Services | Microsoft Learn

Create speech-enabled apps with the Speech service – Training | Microsoft Learn

6 / 20

You are building an app that will analyze resumes and remove names and addresses.

You need to configure the Azure AI Language Personally Identifiable Information (PII) detection feature for the app.

Which categories should you specify in the request?

Person, Address, and IP

Person and Address only

Person, PersonType, and Address

Person, PersonType, Address, and IP

Person and Address will detect names and addresses.

PersonType will also remove job roles. IP will also remove IP addresses.

Entity categories recognized by Personally Identifiable Information (detection) in Azure Cognitive Service for Language – Azure Cognitive Services | Microsoft Learn

Publish and use a Language Understanding app – Training | Microsoft Learn

7 / 20

You are building a GPT-based chat application that will answer questions about your company.

You plan to use the Using your data feature in Azure OpenAI to ground the model with company data.

Which four types of files can you use to ground the model? Each correct answer presents a complete solution.

HTML

MD

PDF

TXT

XML

ZIP

Currently only TXT, MD, HTML, PDF, Microsoft Word, and PowerPoint files can be used and are supported using the “Using your data” feature in Azure OpenAI. ZIP and XML files are not supported.

Using your data with Azure OpenAI Service – Azure OpenAI | Microsoft Learn

8 / 20

You are creating an assistant based on a generative Azure AI model.

You plan to use the system message component for prompts in the solution.

Which two capabilities does the system message offer for the model? Each correct answer presents part of the solution.

defines the data sources that should not be included in the model

defines what the model should and should not do

helps define the assistant’s personality

detects which language is being used in a prompt

The Azure AI Document Intelligence is a service that lets you build automated data processing software by using machine learning technology. It allows you to identify and extract text and key/value pairs.

Azure AI Metrics Advisor uses AI to perform data monitoring and anomaly detection in time series data. Azure AI Immersive Reader is a tool that implements techniques to improve reading comprehension for new readers, language learners, and people with learning differences. Azure AI Search is a cloud search service to help you identify and explore relevant content at scale.

What are Azure Applied AI Services? – Azure Applied AI Services | Microsoft Learn

Prepare to develop AI solutions on Azure – Training | Microsoft Learn

9 / 20

You are building a model that uses Conversational Language Understanding (CLU).

You need to train the model.

Which training methods can you use?

advanced, deterministic, and standard

advanced only

deterministic only

standard and advanced only

standard only

Both standard and advanced are from CLU. Deterministic is a method from Language Understanding.

How to train and evaluate models in Conversational Language Understanding – Azure Cognitive Services | Microsoft Learn

How to use train and test – Azure Cognitive Services | Microsoft Learn

Build a Language Understanding model – Training | Microsoft Learn

10 / 20

You are building a custom translation model.

You need to evaluate the precision of the text that you translated by using a Bilingual Evaluation Understudy (BLEU) score.

Which scale is used for the score?

between 0 and 1

between 0 and 100

low, medium, and high

A BLEU score is a number between zero and 100. A score of zero indicates a low-quality translation, where nothing in the translation matches the reference. A score of 100 indicates a perfect translation that is identical to the reference. It is unnecessary to attain a score of 100. A BLEU score between 40 and 60 indicates a high-quality translation.

Custom Translator for beginners – Azure Cognitive Services | Microsoft Learn

Translate text with the Translator service – Training | Microsoft Learn

11 / 20

You are building an app that will flag documents that contain the names of staff members by using the Azure AI Language Personally Identifiable Information (PII) detection feature.

You need to configure the PII detection feature.

Which category should you use?

Age

DateTime

Person

PhoneNumber

The Person category detects names of people in the PII detection feature. The PhoneNumber category detects phone numbers, the age category detects people’s ages, and the DateTime detects dates and time values.

Entity categories recognized by Personally Identifiable Information (detection) in Azure Cognitive Service for Language – Azure Cognitive Services | Microsoft Learn

12 / 20

You are building a web app that will generate images based on user prompts. The app will use the DALL-E 3 Azure OpenAI model.

You need to ensure that HTTP requests against the Azure OpenAI API successfully generate images.

Which three HTTP header properties should you include? Each correct answer presents part of the solution.

the API version used in this operation

the name of the Azure OpenAI service resource

the name of the DALL-E 3 model deployment

the quality of the generated images

the style of the generated images

the user’s prompt

The name of the Azure OpenAI resource, the name of the DALL-E 3 model deployment, and the API version to be used are the three required header properties for HTTP requests. The other answers are valid for use in the HTTP body but not the header.

Azure OpenAI Service REST API reference – Azure OpenAI | Microsoft Learn

13 / 20

You are building a GPT-based chat application that will answer questions about your company.

You plan to test the application by using strategies defined by Microsoft best practices.

Which three prompt engineering strategies should you consider while testing the application? Each correct answer presents a complete solution.

Be Descriptive

Be minimalistic

Be simple

Be Specific

Order Matters

Be Specific means to leave as little to interpretation as possible. Be Descriptive means to use analogies. Order Matters means that the order in which you present information to the model can affect the output. Therefore, those three are valid best practices. Be simple and be minimalistic do not produce the best results and are, therefore, not best practices

Azure OpenAI Service – Azure OpenAI | Microsoft Learn

14 / 20

You are creating an application that will use Azure OpenAI REST API services. The application uses a REST call to a DALL-E model to generate images. The three parameters in the REST call are prompt, n, and size.

What does the size parameter indicate?

the number of responses that you want returned

the size of the images in bytes

the size of the images in kilobytes

the size of the images in pixel resolution

To make a REST call to the services, you need the endpoint and authorization key for the Azure OpenAI service resource you provisioned in Azure. You initiate the image generation process by submitting a POST request to the service endpoint that has the authorization key in the header. The request must contain the following parameters in a JSON body:

• prompt: The description of the image to be generated
• n: The number of images to be generated
• size: The resolution of the image to be generated (256×256, 512×512, or 1024×1024)

Use the Azure OpenAI REST API to consume DALL-E models – Training | Microsoft Learn

15 / 20

You plan to build an app that will transcribe large quantities of audio files by using the Azure AI Speech service batch transcription feature.

You need to recommend a storage solution for the audio files. The solution must minimize development effort.

What should you recommend?

Azure Storage

Azure Cosmos DB

Azure Data Lake Storage

Azure SQL Database

Azure Storage is the only storage provider that can be used by default for batch transcription.

Create a batch transcription – Speech service – Azure Cognitive Services | Microsoft Learn

Create speech-enabled apps with the Speech service – Training | Microsoft Learn

16 / 20

You are building a web app that will generate images based on user prompts. The app will use the DALL-E 3 Azure OpenAI model.

You need to ensure that HTTP requests against the Azure OpenAI API successfully generate images.

Which HTTP body property should you include?

the API version

the Azure OpenAI resource name

the deployment ID

the prompt

The prompt is the only required property to be used in the body of the HTTP request when requesting to generate a new image by using the DALL-E 3 Azure OpenAI API. The other properties are used in the HTTP header.

Azure OpenAI Service REST API reference – Azure OpenAI | Microsoft Learn

17 / 20

You need to build an app that will summarize text documents into key phrases.

Which Azure AI Language feature should you recommend?

Language Summarization

key phrase extraction

Named Entity Recognition (NER)

Personally Identifiable Information (PII) detection

Key phrase extraction is used to quickly identify the main concepts in text, whereas the other features do not return key phrases from longer text documents.

What is key phrase extraction in Azure Cognitive Service for Language? – Azure Cognitive Services | Microsoft Learn

Extract insights from text with the Language service – Training | Microsoft Learn

18 / 20

You are building a GPT-based chat application that will answer questions about your company.

You plan to use the Using your data feature in Azure OpenAI to ground the model with your company data.

While testing, you discover that some responses are not accurate enough.

You need to configure the Azure OpenAI resource to filter out less-relevant documents for responses.

Which parameter should you configure?

Content data

File name

Retrieved documents

Strictness

The Strictness parameter sets the threshold to categorize documents as relevant to your queries. Raising the Strictness parameter value means a higher threshold for relevance and filters out more less-relevant documents for responses. Retrieved documents specifies the number of top-scoring documents from your data index used to generate responses. Content data specifies the fields in your index that contain the main text content of each document. File name specifies the field in your index that contains the original file name of each document.

Using your data with Azure OpenAI Service – Azure OpenAI | Microsoft Learn

19 / 20

You are deploying an Azure OpenAI service.

You plan to use your own data in the models you will deploy.

You need to ensure that the model can index your data sources.

Which additional Azure service should you deploy?

Azure AI Search

Content Moderator

Language

Personalizer

Azure OpenAI on your data enables developers to use supported AI chat models that can reference specific sources of information to ground the response. Adding this information allows the model to reference both the specific data provided and its pretrained knowledge to provide more effective responses. Azure OpenAI on your data utilizes the search ability of Azure AI Search to add the relevant data chunks to a prompt.

Azure OpenAI on your data still uses a stateless API to connect to the model, which removes the requirement of training a custom model with your data and simplifies the interaction with the AI model. Cognitive Search first finds the useful information to answer the prompt, and Azure OpenAI forms the response based on that information.

Understand how to use your own data – Training | Microsoft Learn

What are Azure AI services? – Azure AI services | Microsoft Learn

20 / 20

You are building an app that will analyze the sentiment of user feedback by using Azure AI Language.

You have a test document named Test.docx that contains one positive sentence and multiple neutral sentences.

You need to validate the app by analyzing Test.docx.

Which label will the app return for Test.docx?

mixed

negative

neutral

positive

If there is at least one positive sentence in the document, and the rest of the document is neutral, then the document label is positive.

How to perform sentiment analysis and opinion mining – Azure Cognitive Services | Microsoft Learn

Extract insights from text with the Language service – Training | Microsoft Learn

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What You’ll Learn from AI-102

In this exam, you’ll learn so many exciting things! 🤓 From understanding how AI can “see” through computer vision to teaching computers how to “listen” with natural language processing (NLP), it’s like teaching a robot how to be your best friend! You’ll even learn how to create chatbots (those little computer buddies that talk to you online). So cool, right? 🤖

The AI-102 Exam Format

Okay, now let’s talk about the exam itself. Don’t worry—it’s not as scary as it sounds. 😅 The exam is like a quiz, with multiple-choice questions and scenarios where you have to pick the best answer. The AI-102 exam consists of various types of questions, including:

• Multiple-choice
• Drag-and-drop
• Case studies

The test typically lasts around 150 minutes and contains between 40 and 60 questions. The passing score is 700 out of 1000.

Comprehensive Study Guide for AI-102 Exam | How to Prepare for AI-102?

• Step 1: Familiarize Yourself with Exam Content
  • Visit the official Microsoft study guide for AI-102 to understand the syllabus. Focus on areas that require more attention, such as Azure Cognitive Services, bot frameworks, and AI models.
• Step 2: Utilize Azure’s Free Resources
  • Microsoft offers free tutorials, labs, and hands-on experiences. Practice using Azure AI tools, and create a few small projects to solidify your understanding.
• Step 3: Understand AI Services
  • Some critical AI services include:
    • Azure Cognitive Services: Prebuilt APIs for NLP, computer vision, and speech recognition.
    • Azure Bot Service: Allows you to create intelligent bots to interact with users.
    • Azure Machine Learning: Helps build, train, and deploy machine learning models.

Essential Topics for AI-102 Preparation

You’ll need to understand some important AI concepts. For example:

• Computer Vision: Teaching computers how to “see” things. AI-102 places significant emphasis on computer vision. Make sure you understand how to use the Custom Vision and Face API to create AI solutions that can process images and videos.
• Natural Language Processing (NLP): Helping computers “understand” and “speak” human language. NLP enables machines to understand and interpret human language. Focus on Language Understanding (LUIS) and Text Analytics, which are integral to the AI-102 exam.
• Conversational AI with Azure Bot Services: Azure Bot Service plays a pivotal role in the exam. You’ll need to understand how to build and deploy bots that can communicate effectively using Azure Cognitive Services.

Where to Find Study Resources?

There are tons of great places to study. Some of my favorites include:

• Microsoft Learn: This is an official resource from Microsoft. 📘
• Exam AI-102 prep videos: Lots of experts share tips here. 📺
• Practice Exams: You can find these online, and they help prepare you for the real deal. 🖥️

My Personal Experience with AI-102 | Best Practices for AI-102 Exam Success

Preparing for the AI-102 exam is like getting ready for a race! 🏃‍♂️ Here are some awesome ways to prepare:

• Practice, Practice, Practice:
  • The more you practice, the better you’ll get! There are tons of online resources with practice questions. 📚. Let me tell you a quick story! When I took the AI-102 exam, I was super nervous. My palms were sweaty, and I was worried I wouldn’t know the answers. But guess what? With a little practice and positive thinking, I passed! 🎉 You can too, I promise!
• Take Mock Exams:
  • Mock exams help gauge your readiness. Many online platforms offer AI-102 mock tests that simulate the real exam environment, so you can get accustomed to the question format and time constraints.
• Review Case Studies
  • The AI-102 exam frequently uses case studies. Make sure you’re familiar with designing AI solutions based on real-world business requirements.

Official Microsoft Exam AI-102 prep videos Series

Skills measured in AI 102 Exam

This episode covers the first of six high-level topics in the skills measured. This first skills group will account for 15-20% of the questions you might encounter on the exam.

• Plan and manage an Azure AI solution (15-20%)
• Implement decision-support solutions (10-15%)
• Implement Azure AI vision solutions (15-20%)
• Implement natural language processing solutions (30-25%)
• Implement knowledge mining and document intelligence solutions (10-15%)
• Implement generative AI solutions (10-15%)

Preparing for AI-102 – Plan and manage an Azure AI solution (Part 1 of 6)

Preparing for AI-102 – Implement decision-support solutions (Part 2 of 6)

Preparing for AI-102 – Implement Azure AI vision solutions (Part 3 of 6)

Preparing for AI-102 – Implement natural language processing solutions (Part 4 of 6)

Preparing for AI-102 – Implement knowledge mining and document intelligence solutions (Part 5 of 6)

Preparing for AI-102 – Implement generative AI solutions (Part 6 of 6)

Is AI-102 Right for You?

Still unsure if you should take the AI-102 exam? 🤔 Well, if you’re excited about the future of AI and love learning how technology works, then this certification is definitely for you. Plus, it opens up amazing job opportunities! Who wouldn’t want that?

What Happens After You Pass the Exam?

With an AI-102 certification, you position yourself as a leader in AI solutions. This certification opens doors to roles such as AI Engineer, Data Scientist, and Solution Architect.

Certified professionals often command higher salaries due to their specialized skills in designing and implementing AI solutions using Microsoft Azure.

After you pass, you get an awesome certificate! 🎓 You can proudly show it off to employers and colleagues. Plus, you’ll be one step closer to becoming an AI expert! 😎

Conclusion

The Microsoft AI-102 Certification is more than just an exam; it’s a pathway to becoming an expert in AI technology. By following this study guide, you can prepare effectively, gain valuable skills, and pass the exam with confidence. Whether you’re a seasoned professional or a beginner in AI, this certification is a solid investment in your future.

The Azure AI Engineer Associate (AI-102) certification is your golden ticket to an exciting career in AI! You’ll learn everything from creating chatbots to teaching computers to see and speak. With a bit of practice and dedication, you can easily pass this exam and take your first steps into the world of AI engineering. So, what are you waiting for? Dive in and start learning today! 🚀

Frequently Asked Questions (FAQs)

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