AI-900 Practice Questions Free – 50 Exam-Style Questions to Sharpen Your Skills
Are you preparing for the AI-900 certification exam? Kickstart your success with our AI-900 Practice Questions Free – a carefully selected set of 50 real exam-style questions to help you test your knowledge and identify areas for improvement.
Practicing with AI-900 practice questions free gives you a powerful edge by allowing you to:
Understand the exam structure and question formats
Discover your strong and weak areas
Build the confidence you need for test day success
Below, you will find 50 free AI-900 practice questions designed to match the real exam in both difficulty and topic coverage. They’re ideal for self-assessment or final review. You can click on each Question to explore the details.
DRAG DROP -
Match the Microsoft guiding principles for responsible AI to the appropriate descriptions.
To answer, drag the appropriate principle from the column on the left to its description on the right. Each principle may be used once, more than once, or not at all.
NOTE: Each correct selection is worth one point.
Select and Place:
Suggested Answer:
Box 1: Reliability and safety –
To build trust, it’s critical that AI systems operate reliably, safely, and consistently under normal circumstances and in unexpected conditions. These systems should be able to operate as they were originally designed, respond safely to unanticipated conditions, and resist harmful manipulation.
Box 2: Accountability –
The people who design and deploy AI systems must be accountable for how their systems operate. Organizations should draw upon industry standards to develop accountability norms. These norms can ensure that AI systems are not the final authority on any decision that impacts people’s lives and that humans maintain meaningful control over otherwise highly autonomous AI systems.
Box 3: Privacy and security –
As AI becomes more prevalent, protecting privacy and securing important personal and business information is becoming more critical and complex. With AI, privacy and data security issues require especially close attention because access to data is essential for AI systems to make accurate and informed predictions and decisions about people. AI systems must comply with privacy laws that require transparency about the collection, use, and storage of data and mandate that consumers have appropriate controls to choose how their data is used
Reference: https://docs.microsoft.com/en-us/learn/modules/responsible-ai-principles/4-guiding-principles
You have 100 instructional videos that do NOT contain any audio. Each instructional video has a script.
You need to generate a narration audio file for each video based on the script.
Which type of workload should you use?
DRAG DROP -
Match the facial recognition tasks to the appropriate questions.
To answer, drag the appropriate task from the column on the left to its question on the right. Each task may be used once, more than once, or not at all.
NOTE: Each correct selection is worth one point.
Select and Place:
Suggested Answer:
Box 1: verification –
Face verification: Check the likelihood that two faces belong to the same person and receive a confidence score.
Box 2: similarity –
Box 3: Grouping –
Box 4: identification –
Face detection: Detect one or more human faces along with attributes such as: age, emotion, pose, smile, and facial hair, including 27 landmarks for each face in the image.
Reference: https://azure.microsoft.com/en-us/services/cognitive-services/face/#features
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
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:
Suggested Answer:
Box 1: Yes –
Azure Machine Learning designer lets you visually connect datasets and modules on an interactive canvas to create machine learning models.
Box 2: Yes –
With the designer you can connect the modules to create a pipeline draft.
As you edit a pipeline in the designer, your progress is saved as a pipeline draft.
Box 3: No –
Reference: https://docs.microsoft.com/en-us/azure/machine-learning/concept-designer
DRAG DROP
-
You plan to deploy an Azure Machine Learning model by using the Machine Learning designer.
Which four actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
You need to implement a pre-built solution that will identify well-known brands in digital photographs.
Which Azure Cognitive Services service should you use?
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/
HOTSPOT
-
For each of the following statement, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
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
DRAG DROP -
Match the types of natural languages processing 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:
Suggested Answer:
Box 1: Entity recognition –
Named Entity Recognition (NER) is the ability to identify different entities in text and categorize them into pre-defined classes or types such as: person, location, event, product, and organization.
Box 2: Sentiment analysis –
Sentiment Analysis is the process of determining whether a piece of writing is positive, negative or neutral.
Box 3: Translation –
Using Microsoft’s Translator text API
This versatile API from Microsoft can be used for the following:
Translate text from one language to another.
Transliterate text from one script to another.
Detecting language of the input text.
Find alternate translations to specific text.
Determine the sentence length.
Reference: https://docs.microsoft.com/en-in/azure/cognitive-services/text-analytics/how-tos/text-analytics-how-to-entity-linking?tabs=version-3-preview https://azure.microsoft.com/en-us/services/cognitive-services/text-analytics
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.
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:
Suggested Answer:
Box 1: No –
Build conversational experiences with Power Virtual Agents and Azure Bot Service
Azure Bot Service provides an integrated development environment for bot building. Its integration with Power Virtual Agents, a fully hosted low-code platform, enables developers of all technical abilities build conversational AI botsג€”no code needed.
Box 2: Yes –
Box 3: Yes –
You can configure your bot to communicate with people via Microsoft Teams.
Reference: https://azure.microsoft.com/en-us/services/bot-services/#overview https://docs.microsoft.com/en-us/azure/bot-service/channel-connect-teams
Which two languages can you use to write custom code for Azure Machine Learning designer? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
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
DRAG DROP -
You plan to deploy an Azure Machine Learning model as a service that will be used by client applications.
Which three processes should you perform in sequence before you deploy the model? To answer, move the appropriate processes from the list of processes to the answer area and arrange them in the correct order.
Select and Place:
HOTSPOT -
Select the answer that correctly completes the sentence.
Hot Area:
Suggested Answer:
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
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.
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:
Suggested Answer:
Box 1: Yes –
You can create and build a cortana bot using microsoft bot framework.
Note: Connect Cortana Channels –
Login to Azure portal > Select the ג€All Resourcesג€ > Select Channels > Select Cortana icon. Let us start to configure the ג€Cortana ג€Channel and follow the below steps, at the end of this article you will be able to deploy the Bot into the Cortana.
Etc.
Box 2: Yes –
QnA Maker is an easy-to-use web-based service that makes it easy to power a question-answer application or chatbot from semi-structured content like FAQ documents and product manuals. With QnA Maker, developers can build, train, and publish question and answer bots in minutes.
Box 3: Yes –
Reference: https://www.c-sharpcorner.com/article/create-and-build-a-cortana-bot-using-microsoft-bot-framework/
HOTSPOT -
To complete the sentence, select the appropriate option in the answer area.
Hot Area:
Suggested Answer:
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.
Incorrect Answers:
✑ Classification is a machine learning method that uses data to determine the category, type, or class of an item or row of data.
✑ Clustering, in machine learning, is a method of grouping data points into similar clusters. It is also called segmentation.
Over the years, many clustering algorithms have been developed. Almost all clustering algorithms use the features of individual items to find similar items. For example, you might apply clustering to find similar people by demographics. You might use clustering with text analysis to group sentences with similar topics or sentiment.
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
You run a charity event that involves posting photos of people wearing sunglasses on Twitter.
You need to ensure that you only retweet photos that meet the following requirements:
✑ Include one or more faces.
✑ Contain at least one person wearing sunglasses.
What should you use to analyze the images?
A. the Verify operation in the Face service
B. the Detect operation in the Face service
C. the Describe Image operation in the Computer Vision service
D. the Analyze Image operation in the Computer Vision service
What are two tasks that can be performed by using the Computer Vision service? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
A. Train a custom image classification model.
B. Detect faces in an image.
C. Recognize handwritten text.
D. Translate the text in an image between languages.
Suggested Answer: BC
B: Azure’s Computer Vision service provides developers with 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.
C: Computer Vision includes Optical Character Recognition (OCR) capabilities. You can use the new Read API to extract printed and handwritten text from images and documents.
Reference: https://docs.microsoft.com/en-us/azure/cognitive-services/computer-vision/home
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:
You use drones to identify where weeds grow between rows of crops to send an instruction for the removal of the weeds.
This is an example of which type of computer vision?
Which two actions are performed during the data ingestion and data preparation stage of an Azure Machine Learning process? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
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
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.
HOTSPOT -
Select the answer that correctly completes the sentence.
Hot Area:
Suggested Answer:
Fairness is a core ethical principle that all humans aim to understand and apply. This principle is even more important when AI systems are being developed. Key checks and balances need to make sure that the system’s decisions don’t discriminate or run a gender, race, sexual orientation, or religion bias toward a group or individual.
Reference: https://docs.microsoft.com/en-us/azure/cloud-adoption-framework/innovate/best-practices/trusted-ai
You have the Predicted vs. True chart shown in the following exhibit.
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
A company employs a team of customer service agents to provide telephone and email support to customers.
The company develops a webchat bot to provide automated answers to common customer queries.
Which business benefit should the company expect as a result of creating the webchat bot solution?
A. increased sales
B. a reduced workload for the customer service agents
You have a dataset that contains the columns shown in the following table.
You have a machine learning model that predicts the value of ColumnE based on the other numeric columns.
Which type of model is this?
You have insurance claim reports that are stored as text.
You need to extract key terms from the reports to generate summaries.
Which type of AI workload should you use?
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
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Which type of model is the chart used to evaluate?
You have a machine learning model that predicts the value of ColumnE based on the other numeric columns. Which type of model is this?
