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.
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
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
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.
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
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
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:
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
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
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)
HOTSPOT - Select the answer that correctly completes the sentence.
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)
HOTSPOT - Select the answer that correctly completes the sentence. Hot Area:
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:
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
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
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 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)
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:
HOTSPOT - Select the answer that correctly completes the sentence.
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
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
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.
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
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
HOTSPOT - Select the answer that correctly completes the sentence.
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
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)
You send an image to a Computer Vision API and receive back the annotated image shown in the exhibit.Which type of computer vision was used?
A. object detection
B. face detection
C. optical character recognition (OCR)
D. image classification
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.
HOTSPOT - Select the answer that correctly completes the sentence.
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)
HOTSPOT - Select the answer that correctly completes the sentence.
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:
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.
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
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.
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
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
HOTSPOT - Select the answer that correctly completes the sentence.
HOTSPOT - To complete the sentence, select the appropriate option in the answer area. Hot Area:
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
You need to predict the animal population of an area. Which Azure Machine Learning type should you use?
A. regression
B. clustering
C. classification
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
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:
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:
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
HOTSPOT - Select the answer that correctly completes the sentence.
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:
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.
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:
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