Online Access Free AI-900 Exam Questions

You have the following apps:
* App1: Uses a set of images of tumors to identify whether the tumors are benign or malignant and suggest a treatment
* App2: Uses images from cameras to track individual livestock as they move around a farm
* App3: Identifies brands in photographs of billboards
What does each app use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Correct Answer:

Explanation:

Let's analyze each application in the context of Microsoft Azure AI Fundamentals (AI-900) and computer vision model types.
* App1 - Uses a set of images of tumors to identify whether the tumors are benign or malignant and suggest a treatment # Image classificationThis application is performing image classification, where each image (of a tumor) is assigned to a single predefined category - benign or malignant. Image classification models learn patterns from labeled training images and predict the correct class for new ones. In this case, the model identifies the type of tumor, a classic binary classification scenario.
* App2 - Uses images from cameras to track individual livestock as they move around a farm # Object detectionThis scenario describes object detection, which not only identifies what objects (in this case, animals) are in an image but also locates them by drawing bounding boxes. Tracking movement requires detecting the position of each animal frame by frame. Object detection models are well-suited for use cases involving counting, tracking, or monitoring objects in a visual scene.
* App3 - Identifies brands in photographs of billboards # Optical character recognition (OCR)This app involves reading and interpreting text (brand names, slogans, or logos) from images of billboards.
Optical Character Recognition (OCR), part of Azure AI Vision, extracts textual information from images or scanned documents. Once extracted, that text can be analyzed to identify brand names or keywords.
Summary:
* App1 # Image classification
* App2 # Object detection
* App3 # Optical character recognition (OCR)

You need to develop a mobile app for employees to scan and store their expenses while travelling.
Which type of computer vision should you use?

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

Select the answer that correctly completes the sentence.

Correct Answer:

Explanation:

The correct completion of the sentence "_____ is an example of speech recognition." is A voice-activated security key system.
According to the Microsoft Azure AI Fundamentals (AI-900) official study guide and Microsoft Learn module "Describe features of common AI workloads", speech recognition refers to the ability of a system or application to convert spoken language into text or actionable commands. It allows computers to interpret and respond to human speech inputs, bridging human-computer interaction through natural language.
Microsoft Learn clearly explains that speech recognition is used in applications such as voice assistants, dictation software, and voice-activated security systems, where the spoken input from a user is captured, analyzed, and translated into commands or text. For example, when a user says "Unlock door" or "Open session," the speech recognition system interprets that sound input, converts it into text or a command, and then performs the appropriate action. This is a direct implementation of speech-to-text processing combined with command execution logic.
Let's analyze the other options:
* Creating an audio commentary for a video recording is related to speech synthesis (text-to-speech), not recognition.
* Creating captions for a video recording involves speech-to-text transcription, which is a subset of speech recognition, but the question emphasizes a system that responds to voice commands, making the first option more accurate.
* Identifying key phrases in a video transcript involves natural language processing (NLP) techniques rather than speech recognition.
Therefore, the voice-activated security key system best represents the use of speech recognition technology because it interprets spoken commands and takes a corresponding action based on recognized speech patterns.
This aligns directly with the AI-900 learning objectives where speech recognition is defined as a process that enables applications to interpret and respond to human voice input.

To complete the sentence, select the appropriate option in the answer area.

Correct Answer:

Explanation:

According to the Microsoft Azure AI Fundamentals (AI-900) official study guide and Microsoft Learn module "Explore fundamental principles of machine learning", regression models are used to predict numerical or continuous values based on patterns found in historical data. When the goal is to forecast or estimate a real-valued outcome-such as price, temperature, sales, or age-the appropriate model type is regression.
In this question, the task is to predict the sale price of auctioned items. Since price is a continuous numeric value that can vary within a range (for example, $100.50, $105.75, $120.00, etc.), it fits perfectly into a regression problem. Microsoft Learn defines regression as "a supervised machine learning technique that predicts a numeric value based on relationships found in input features." Common regression algorithms include linear regression, decision tree regression, and neural network regression.
By contrast:
* Classification is used when the output variable represents categories or classes, such as predicting whether an email is spam or not spam, or whether a transaction is fraudulent or legitimate.
Classification predicts discrete labels, not continuous values.
* Clustering, on the other hand, is an unsupervised learning method used to group similar data points together without predefined labels. Examples include grouping customers by purchasing behavior or grouping images by visual similarity.
In a predictive business scenario, like estimating the price of an auctioned item based on features such as age, condition, and demand, regression models are most appropriate. Azure Machine Learning supports regression experiments using built-in algorithms and AutoML to automatically choose the best-performing model for continuous output prediction.

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 Primary metric to accuracy.
• B.Enable Explain best model.
• C.Set Max concurrent iterations to 0.
• D.Set Validation type to Auto.