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AI-900 Dump Free

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  • AI-900 Dump Free – 50 Practice Questions to Sharpen Your Exam Readiness.
  • Access Full AI-900 Dump Free

AI-900 Dump Free – 50 Practice Questions to Sharpen Your Exam Readiness.

Looking for a reliable way to prepare for your AI-900 certification? Our AI-900 Dump Free includes 50 exam-style practice questions designed to reflect real test scenarios—helping you study smarter and pass with confidence.

Using an AI-900 dump free set of questions can give you an edge in your exam prep by helping you:

  • Understand the format and types of questions you’ll face
  • Pinpoint weak areas and focus your study efforts
  • Boost your confidence with realistic question practice

Below, you will find 50 free questions from our AI-900 Dump Free collection. These cover key topics and are structured to simulate the difficulty level of the real exam, making them a valuable tool for review or final prep.

Question 1

You are designing an AI system that empowers everyone, including people who have hearing, visual, and other impairments.
This is an example of which Microsoft guiding principle for responsible AI?

A. fairness

B. inclusiveness

C. reliability and safety

D. accountability

 


Suggested Answer: B

Inclusiveness: At Microsoft, we firmly believe everyone should benefit from intelligent technology, meaning it must incorporate and address a broad range of human needs and experiences. For the 1 billion people with disabilities around the world, AI technologies can be a game-changer.
Reference:
https://docs.microsoft.com/en-us/learn/modules/responsible-ai-principles/4-guiding-principles

Question 2

You have the Predicted vs. True chart shown in the following exhibit.
 Image
Which type of model is the chart used to evaluate?

A. classification

B. regression

C. clustering

 


Suggested Answer: B

What is a Predicted vs. True chart?
Predicted vs. True shows the relationship between a predicted value and its correlating true value for a regression problem. This graph can be used to measure performance of a model as the closer to the y=x line the predicted values are, the better the accuracy of a predictive model.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-understand-automated-m

Question 3

You build a machine learning model by using the automated machine learning user interface (UI).
You need to ensure that the model meets the Microsoft transparency principle for responsible AI.
What should you do?

A. Set Validation type to Auto.

B. Enable Explain best model.

C. Set Primary metric to accuracy.

D. Set Max concurrent iterations to 0.

 


Suggested Answer: B

Model Explain Ability.
Most businesses run on trust and being able to open the ML ג€black boxג€ helps build transparency and trust. In heavily regulated industries like healthcare and banking, it is critical to comply with regulations and best practices. One key aspect of this is understanding the relationship between input variables (features) and model output. Knowing both the magnitude and direction of the impact each feature (feature importance) has on the predicted value helps better understand and explain the model. With model explain ability, we enable you to understand feature importance as part of automated ML runs.
Reference:
https://azure.microsoft.com/en-us/blog/new-automated-machine-learning-capabilities-in-azure-machine-learning-service/

Question 4

You have a solution that reads manuscripts in different languages and categorizes the manuscripts based on topic.
Which types of natural language processing (NLP) workloads does the solution use?

A. speech recognition and entity recognition

B. speech recognition and language modeling

C. translation and key phrase extraction

D. translation and sentiment analysis

 


Suggested Answer: C

 

Question 5

You need to convert receipts into transactions in a spreadsheet. The spreadsheet must include the date of the transaction, the merchant, the total spent, and any taxes paid.
Which Azure AI service should you use?

A. Custom Vision

B. Form Recognizer

C. Face

D. Language

 


Suggested Answer: B

 

Question 6

DRAG DROP -
You need to use Azure Machine Learning designer to build a model that will predict automobile prices.
Which type of modules should you use to complete the model? To answer, drag the appropriate modules to the correct locations. Each module may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Select and Place:
 Image

 


Suggested Answer:
Correct Answer Image

Box 1: Select Columns in Dataset
For Columns to be cleaned, choose the columns that contain the missing values you want to change. You can choose multiple columns, but you must use the same replacement method in all selected columns.
Example:
Reference Image
Box 2: Split data –
Splitting data is a common task in machine learning. You will split your data into two separate datasets. One dataset will train the model and the other will test how well the model performed.
Box 3: Linear regression –
Because you want to predict price, which is a number, you can use a regression algorithm. For this example, you use a linear regression model.
Reference: alt=”Reference Image” />
Box 2: Split data –
Splitting data is a common task in machine learning. You will split your data into two separate datasets. One dataset will train the model and the other will test how well the model performed.
Box 3: Linear regression –
Because you want to predict price, which is a number, you can use a regression algorithm. For this example, you use a linear regression model.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/tutorial-designer-automobile-price-train-score

Question 7

You are developing a solution that uses the Language service.
You need to identify the main talking points in a collection of documents.
Which type of natural language processing should you use?

A. language detection

B. sentiment analysis

C. entity recognition

D. key phrase extraction

 


Suggested Answer: D

 

Question 8

You need to identify groups of rows with similar numeric values in a dataset.
Which type of machine learning should you use?

A. clustering

B. regression

C. classification

 


Suggested Answer: A

 

Question 9

You need to make the written press releases of your company available in a range of languages.
Which service should you use?

A. Translator

B. Text Analytics

C. Speech

D. Language Understanding (LUIS)

 


Suggested Answer: A

Translator is a cloud-based machine translation service you can use to translate text in near real-time through a simple REST API call. The service uses modern neural machine translation technology and offers statistical machine translation technology. Custom Translator is an extension of Translator, which allows you to build neural translation systems.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/translator/

Question 10

HOTSPOT
-
Select the answer that correctly completes the sentence.
 Image

 


Suggested Answer:
Correct Answer Image

 

Question 11

You are developing a chatbot solution in Azure.
Which service should you use to determine a user's intent?

A. Translator

B. QnA Maker

C. Speech

D. Language Understanding (LUIS)

 


Suggested Answer: D

Language Understanding (LUIS) is a cloud-based API service that applies custom machine-learning intelligence to a user’s conversational, natural language text to predict overall meaning, and pull out relevant, detailed information.
Design your LUIS model with categories of user intentions called intents. Each intent needs examples of user utterances. Each utterance can provide data that needs to be extracted with machine-learning entities.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/what-is-luis

Question 12

HOTSPOT -
Select the answer that correctly completes the sentence.
Hot Area:
 Image

 


Suggested Answer:
Correct Answer Image

Azure’s Computer Vision service gives you access to advanced algorithms that process images and return information based on the visual features you’re interested in.
* Optical Character Recognition (OCR)
* Spatial Analysis
* Image Analysis
The Image Analysis service extracts many visual features from images, such as objects, faces, adult content, and auto-generated text descriptions. Follow the
Image Analysis quickstart to get started.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/computer-vision/overview

Question 13

HOTSPOT -
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Hot Area:
 Image

 


Suggested Answer:
Correct Answer Image

The translator service provides multi-language support for text translation, transliteration, language detection, and dictionaries.
Speech-to-Text, also known as automatic speech recognition (ASR), is a feature of Speech Services that provides transcription.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/Translator/translator-info-overview
https://docs.microsoft.com/en-us/legal/cognitive-services/speech-service/speech-to-text/transparency-note

Question 14

A medical research project uses a large anonymized dataset of brain scan images that are categorized into predefined brain haemorrhage types.
You need to use machine learning to support early detection of the different brain haemorrhage types in the images before the images are reviewed by a person.
This is an example of which type of machine learning?

A. clustering

B. regression

C. classification

 


Suggested Answer: C

Reference:
https://docs.microsoft.com/en-us/learn/modules/create-classification-model-azure-machine-learning-designer/introduction

Question 15

Which service should you use to extract text, key/value pairs, and table data automatically from scanned documents?

A. Custom Vision

B. Face

C. Form Recognizer

D. Language

 


Suggested Answer: C

Form Recognizer applies advanced machine learning to accurately extract text, key-value pairs, tables, and structures from documents.
Reference:
https://azure.microsoft.com/en-us/services/form-recognizer/

Question 16

HOTSPOT -
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Hot Area:
 Image

 


Suggested Answer:
Correct Answer Image

Clustering is a machine learning task that is used to group instances of data into clusters that contain similar characteristics. Clustering can also be used to identify relationships in a dataset
Regression is a machine learning task that is used to predict the value of the label from a set of related features.
Reference:
https://docs.microsoft.com/en-us/dotnet/machine-learning/resources/tasks

Question 17

You have an app that identifies the coordinates of a product in an image of a supermarket shelf.
Which service does the app use?

A. Custom Vision classification

B. Custom Vision object detection

C. Computer Vision Read

D. Computer Vision optical character recognition (OCR)

 


Suggested Answer: B

 

Question 18

DRAG DROP -
Match the types of AI workloads to the appropriate scenarios.
To answer, drag the appropriate workload type from the column on the left to its scenario on the right. Each workload type may be used once, more than once, or not at all.
NOTE: Each correct selection is worth one point.
Select and Place:
 Image

 


Suggested Answer:
Correct Answer Image

Box 1: Knowledge mining –
You can use Azure Cognitive Search’s knowledge mining results and populate your knowledge base of your chatbot.
Box 2: Computer vision –
Box 3: Natural language processing
Natural language processing (NLP) is used for tasks such as sentiment analysis.
Reference:
https://docs.microsoft.com/en-us/azure/architecture/data-guide/technology-choices/natural-language-processing

Question 19

HOTSPOT
-
Select the answer that correctly completes the sentence.
 Image

 


Suggested Answer:
Correct Answer Image

 

Question 20

Your company wants to build a recycling machine for bottles. The recycling machine must automatically identify bottles of the correct shape and reject all other items.
Which type of AI workload should the company use?

A. anomaly detection

B. conversational AI

C. computer vision

D. natural language processing

 


Suggested Answer: C

Azure’s Computer Vision service gives you access to advanced algorithms that process images and return information based on the visual features you’re interested in. For example, Computer Vision can determine whether an image contains adult content, find specific brands or objects, or find human faces.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/computer-vision/overview

Question 21

You have a security system that analyzes images from CCTV to provide authorized staff entry into restricted area.
Which type of computer vision does the system use?

A. optical character recognition (OCR)

B. semantic segmentation

C. facial detection and facial recognition

D. image analysis

 


Suggested Answer: C

 

Question 22

DRAG DROP
-
Match the Azure Cognitive Services to the appropriate AI workloads.
To answer, drag the appropriate service from the column on the left to its workload on the right. Each service may be used once, more than once, or not at all.
NOTE: Each correct match is worth one point.
 Image

 


Suggested Answer:
Correct Answer Image

 

Question 23

You are building a Language Understanding model for an e-commerce business.
You need to ensure that the model detects when utterances are outside the intended scope of the model.
What should you do?

A. Export the model

B. Add utterances to the None intent

C. Create a prebuilt task entity

D. Create a new model

 


Suggested Answer: B

 

Question 24

Which type of machine learning should you use to predict the number of gift cards that will be sold next month?

A. classification

B. regression

C. clustering

 


Suggested Answer: B

In the most basic sense, regression refers to prediction of a numeric target.
Linear regression attempts to establish a linear relationship between one or more independent variables and a numeric outcome, or dependent variable.
You use this module to define a linear regression method, and then train a model using a labeled dataset. The trained model can then be used to make predictions.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/linear-regression

Question 25

HOTSPOT
-
Select the answer that correctly completes the sentence.
 Image

 


Suggested Answer:
Correct Answer Image

 

Question 26

You have an Azure Machine Learning pipeline that contains a Split Data module.
The Split Data module outputs to a Train Model module and a Score Model module.
What is the function of the Split Data module?

A. scaling numeric variables so that they are within a consistent numeric range

B. creating training and validation datasets

C. diverting records that have missing data

D. selecting columns that must be included in the model

 


Suggested Answer: B

 

Question 27

Which AI service can you use to interpret the meaning of a user input such as `Call me back later?`

A. Translator

B. Text Analytics

C. Speech

D. Language Understanding (LUIS)

 


Suggested Answer: D

Language Understanding (LUIS) is a cloud-based AI service, that applies custom machine-learning intelligence to a user’s conversational, natural language text to predict overall meaning, and pull out relevant, detailed information.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/what-is-luis

Question 28

You send an image to a Computer Vision API and receive back the annotated image shown in the exhibit.
 Image
Which type of computer vision was used?

A. object detection

B. face detection

C. optical character recognition (OCR)

D. image classification

 


Suggested Answer: A

Object detection is similar to tagging, but the API returns the bounding box coordinates (in pixels) for each object found. For example, if an image contains a dog, cat and person, the Detect operation will list those objects together with their coordinates in the image. You can use this functionality to process the relationships between the objects in an image. It also lets you determine whether there are multiple instances of the same tag in an image.
The Detect API applies tags based on the objects or living things identified in the image. There is currently no formal relationship between the tagging taxonomy and the object detection taxonomy. At a conceptual level, the Detect API only finds objects and living things, while the Tag API can also include contextual terms like “indoor”, which can’t be localized with bounding boxes.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/computer-vision/concept-object-detection

Question 29

You are building an AI system.
Which task should you include to ensure that the service meets the Microsoft transparency principle for responsible AI?

A. Ensure that all visuals have an associated text that can be read by a screen reader.

B. Enable autoscaling to ensure that a service scales based on demand.

C. Provide documentation to help developers debug code.

D. Ensure that a training dataset is representative of the population.

 


Suggested Answer: C

Reference:
https://docs.microsoft.com/en-us/learn/modules/responsible-ai-principles/4-guiding-principles

Question 30

HOTSPOT
-
Select the answer that correctly completes the sentence.
 Image

 


Suggested Answer:
Correct Answer Image

 

Question 31

Which metric can you use to evaluate a classification model?

A. true positive rate

B. mean absolute error (MAE)

C. coefficient of determination (R2)

D. root mean squared error (RMSE)

 


Suggested Answer: A

What does a good model look like?
An ROC curve that approaches the top left corner with 100% true positive rate and 0% false positive rate will be the best model. A random model would display as a flat line from the bottom left to the top right corner. Worse than random would dip below the y=x line.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-understand-automated-ml#classification

Question 32

HOTSPOT
-
Select the answer that correctly completes the sentence.
 Image

 


Suggested Answer:
Correct Answer Image

 

Question 33

HOTSPOT -
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Hot Area:
 Image

 


Suggested Answer:
Correct Answer Image

The Text Analytics API is a cloud-based service that provides advanced natural language processing over raw text, and includes four main functions: sentiment analysis, key phrase extraction, named entity recognition, and language detection.
Box 1: Yes –
You can detect which language the input text is written in and report a single language code for every document submitted on the request in a wide range of languages, variants, dialects, and some regional/cultural languages. The language code is paired with a score indicating the strength of the score.
Box 2: No –
Box 3: Yes –
Named Entity Recognition: Identify and categorize entities in your text as people, places, organizations, date/time, quantities, percentages, currencies, and more.
Well-known entities are also recognized and linked to more information on the web.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/overview

Question 34

DRAG DROP
-
Match the Azure Cognitive Services service to the appropriate actions.
To answer, drag the appropriate service from the column on the left to its action on the right. Each service may be used once, more than once, or not at all.
NOTE: Each correct selection is worth one point.
 Image

 


Suggested Answer:
Correct Answer Image

 

Question 35

Predicting agricultural yields based on weather conditions and soil quality measurements is an example of which type of machine learning model?

A. classification

B. regression

C. clustering

 


Suggested Answer: B

 

Question 36

DRAG DROP
-
Match the services to the appropriate descriptions.
To answer, drag the appropriate service from the column on the left to its description on the right. Each service may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
 Image

 


Suggested Answer:
Correct Answer Image

 

Question 37

You are building an AI-based app.
You need to ensure that the app uses the principles for responsible AI.
Which two principles should you follow? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

A. Implement an Agile software development methodology

B. Implement a process of AI model validation as part of the software review process

C. Establish a risk governance committee that includes members of the legal team, members of the risk management team, and a privacy officer

D. Prevent the disclosure of the use of AI-based algorithms for automated decision making

 


Suggested Answer: BC

Reference:
https://docs.microsoft.com/en-us/azure/cloud-adoption-framework/innovate/best-practices/trusted-ai
https://docs.microsoft.com/en-us/learn/modules/responsible-ai-principles/3-implications-responsible-ai-practical

Question 38

In which two scenarios can you use the Form Recognizer service? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.

A. Identify the retailer from a receipt

B. Translate from French to English

C. Extract the invoice number from an invoice

D. Find images of products in a catalog

 


Suggested Answer: AC

Reference:
https://docs.microsoft.com/en-us/azure/applied-ai-services/form-recognizer/overview?tabs=v2-1

Question 39

HOTSPOT
-
Select the answer that correctly completes the sentence.
 Image

 


Suggested Answer:
Correct Answer Image

 

Question 40

HOTSPOT -
To complete the sentence, select the appropriate option in the answer area.
Hot Area:
 Image

 


Suggested Answer:
Correct Answer Image

With Microsoft’s Conversational AI tools developers can build, connect, deploy, and manage intelligent bots that naturally interact with their users on a website, app, Cortana, Microsoft Teams, Skype, Facebook Messenger, Slack, and more.
Reference:
https://azure.microsoft.com/en-in/blog/microsoft-conversational-ai-tools-enable-developers-to-build-connect-and-manage-intelligent-bots

Question 41

Which two scenarios are examples of a conversational AI workload? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.

A. a smart device in the home that responds to questions such as ג€What will the weather be like today?ג€

B. a website that uses a knowledge base to interactively respond to users’ questions

C. assembly line machinery that autonomously inserts headlamps into cars

D. monitoring the temperature of machinery to turn on a fan when the temperature reaches a specific threshold

 


Suggested Answer: AB

 

Question 42

You need to predict the animal population of an area.
Which Azure Machine Learning type should you use?

A. regression

B. clustering

C. classification

 


Suggested Answer: A

Regression is a supervised machine learning technique used to predict numeric values.
Reference:
https://docs.microsoft.com/en-us/learn/modules/create-regression-model-azure-machine-learning-designer/1-introduction

Question 43

You plan to develop a bot that will enable users to query a knowledge base by using natural language processing.
Which two services should you include in the solution? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

A. Language Service

B. Azure Bot Service

C. Form Recognizer

D. Anomaly Detector

 


Suggested Answer: AB

 

Question 44

HOTSPOT -
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Hot Area:
 Image

 


Suggested Answer:
Correct Answer Image

Reference:
https://docs.microsoft.com/en-gb/azure/cognitive-services/text-analytics/overview
https://azure.microsoft.com/en-gb/services/cognitive-services/speech-services/

Question 45

HOTSPOT -
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Hot Area:
 Image

 


Suggested Answer:
Correct Answer Image

Reference:
https://docs.microsoft.com/en-gb/azure/cognitive-services/qnamaker/concepts/data-sources-and-content
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/choose-natural-language-processing-service

Question 46

What is a use case for classification?

A. predicting how many cups of coffee a person will drink based on how many hours the person slept the previous night.

B. analyzing the contents of images and grouping images that have similar colors

C. predicting whether someone uses a bicycle to travel to work based on the distance from home to work

D. predicting how many minutes it will take someone to run a race based on past race times

 


Suggested Answer: C

Two-class classification provides the answer to simple two-choice questions such as Yes/No or True/False.
Incorrect Answers:
A: This is Regression.
B: This is Clustering.
D: This is Regression.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/algorithm-module-reference/linear-regression
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/machine-learning-initialize-model-clustering

Question 47

HOTSPOT
-
Select the answer that correctly completes the sentence.
 Image

 


Suggested Answer:
Correct Answer Image

 

Question 48

DRAG DROP -
Match the principles of responsible AI to appropriate requirements.
To answer, drag the appropriate principles from the column on the left to its requirement on the right. Each principle may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Select and Place:
 Image

 


Suggested Answer:
Correct Answer Image

Reference:
https://docs.microsoft.com/en-us/azure/cloud-adoption-framework/innovate/best-practices/trusted-ai
https://docs.microsoft.com/en-us/learn/modules/responsible-ai-principles/4-guiding-principles

Question 49

You are developing a system to predict the prices of insurance for drivers in the United Kingdom.
You need to minimize bias in the system.
What should you do?

A. Remove information about protected characteristics from the data before sampling.

B. Take a training sample that is representative of the population in the United Kingdom.

C. Create a training dataset that uses data from global insurers.

D. Take a completely random training sample.

 


Suggested Answer: C

 

Question 50

HOTSPOT -
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Hot Area:
 Image

 


Suggested Answer:
Correct Answer Image

Reference:
https://docs.microsoft.com/en-us/azure/bot-service/bot-service-manage-channels?view=azure-bot-service-4.0

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