Free AI-900 Sample Questions — Microsoft Azure AI Fundamentals

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.

• A. Calculate the accuracy of the model
• B. Score test data by using the model
• C. Combine multiple datasets
• D. Use the model for real-time predictions
• E. Remove records that have missing values

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.

• A. Python
• B. R
• C. C#
• D. Scala

A smart device that responds to the question “What is the stock price of Contoso. Ltd.?” is an example of which AI workload?

• A. knowledge mining
• B. natural language processing
• C. computer vision
• D. anomaly detection

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 are building a tool that will process images from retail stores and identify the products of competitors. The solution must be trained on images provided by your company. Which Azure AI service should you use?

• A. Form Recognizer
• B. Custom Vision
• C. Face
• D. Computer Vision

When you design an AI system to assess whether loans should be approved, the factors used to make the decision should be explainable. This is an example of which Microsoft guiding principle for responsible AI?

• A. transparency
• B. inclusiveness
• C. fairness
• D. privacy and security

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

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

You have a frequently asked questions (FAQ) PDF file. You need to create a conversational support system based on the FAQ. Which service should you use?

• A. QnA Maker
• B. Text Analytics
• C. Computer Vision
• D. Language Understanding (LUIS)

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

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?

• A. natural language processing
• B. conversational AI
• C. anomaly detection
• D. computer vision

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

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

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)

Which Azure Cognitive Services service can be used to identify documents that contain sensitive information?

• A. Custom Vision
• B. Conversational Language Understanding
• C. Form Recognizer

You need to reduce the load on telephone operators by implementing a chatbot to answer simple questions with predefined answers. Which two AI service should you use to achieve the goal? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.

• A. Text Analytics
• B. QnA Maker
• C. Azure Bot Service
• D. Translator

You need to reduce the load on telephone operators by implementing a chatbot to answer simple questions with predefined answers. Which two AI services should you use to achieve the goal? Each correct answers presents part of the solution. NOTE: Each correct selection is worth one point.

• A. Azure Machine Learning
• B. Azure Bot Service
• C. Language Service
• D. Translator

You are developing a natural language processing solution in Azure. The solution will analyze customer reviews and determine how positive or negative each review is. This is an example of which type of natural language processing workload?

• A. language detection
• B. sentiment analysis
• C. key phrase extraction
• D. entity recognition

You need to convert handwritten notes into digital text. Which type of computer vision should you use?

• A. facial detection
• B. optical character recognition (OCR)
• C. image classification
• D. object detection

When training a model, why should you randomly split the rows into separate subsets?

• A. to train the model twice to attain better accuracy
• B. to train multiple models simultaneously to attain better performance
• C. to test the model by using data that was not used to train the model