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The Microsoft AI-900 Exam consists of 40-60 multiple-choice questions that need to be completed in 60 minutes. The questions are designed to test your knowledge and skills in the following areas: AI workloads and considerations, fundamental principles of machine learning, computer vision, natural language processing, and conversational AI. You will need to score at least 700 out of 1000 to pass the exam.
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The Microsoft AI-900 Exam covers a range of topics related to AI, including machine learning, natural language processing, computer vision, and cognitive services. It also tests the individual's ability to identify the appropriate Azure service to solve a particular business problem, and to understand the ethical and responsible use of AI.
NEW QUESTION # 126
An app that analyzes social media posts to identify their tone is an example of which type of natural language processing (NLP) workload?
Answer: C
Explanation:
According to the Microsoft Azure AI Fundamentals (AI-900) official study guide and Microsoft Learn module "Describe features of natural language processing (NLP) workloads on Azure," sentiment analysis is an NLP workload that determines the emotional tone or opinion expressed in a piece of text. This could be positive, negative, or neutral sentiment.
When an app analyzes social media posts to identify their tone, it is performing sentiment analysis, since it aims to understand the emotional context behind user-generated text such as tweets, reviews, or comments.
Azure provides this functionality through the Azure Cognitive Services - Text Analytics API, which evaluates text and returns sentiment scores.
Other options are not suitable:
* Key phrase extraction identifies main ideas in text but not tone.
* Entity recognition identifies names of people, organizations, or locations.
* Speech recognition converts spoken words into text, not emotional analysis.
Therefore, analyzing social media tone is an example of sentiment analysis, a key NLP workload in Microsoft' s AI-900 syllabus.
NEW QUESTION # 127
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation
Graphical user interface, text, application, email Description automatically generated
NEW QUESTION # 128
You deploy the Azure OpenAI service to generate images.
You need to ensure that the service provides the highest level of protection against harmful content.
What should you do?
Answer: B
NEW QUESTION # 129
What are two tasks that can be performed by using computer vision? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
Answer: C,D
Explanation:
Explanation
B: 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.
E: 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. It uses the latest models and works with text on a variety of surfaces and backgrounds. These include receipts, posters, business cards, letters, and whiteboards. The two OCR APIs support extracting printed text in several languages.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/computer-vision/overview
NEW QUESTION # 130
Select the .
Answer:
Explanation:
Explanation:
The correct completion of the sentence is:
"You can use the Custom Vision service to train an object detection model by using your own images." According to the Microsoft Azure AI Fundamentals (AI-900) official study guide and Microsoft Learn module "Identify features of computer vision workloads," the Azure Custom Vision service is a specialized component of Azure Cognitive Services for Vision that enables developers to train custom image classification or object detection models using their own labeled image datasets.
The Custom Vision service differs from the Computer Vision service in that it allows full customization - meaning you can upload your own images, tag them manually, and train the model to recognize objects specific to your use case (for example, detecting your company's products, tools, or vehicles). Once trained, the model can identify and localize these objects in new images by returning bounding boxes and confidence scores, which is precisely what defines an object detection workload.
Microsoft's AI-900 materials describe object detection as the process of identifying objects in an image and determining their position, typically represented by bounding boxes. Custom Vision supports two main project types:
* Image Classification: Determines what is present in the image (e.g., "dog," "cat," "car").
* Object Detection: Identifies what is present and where it is located in the image.
In contrast:
* Computer Vision provides prebuilt models for general image analysis but doesn't allow custom model training.
* Form Recognizer is used for extracting text and data from structured or semi-structured documents.
* Azure Video Analyzer for Media focuses on video content analysis, not custom object detection.
Therefore, based on the official Microsoft AI-900 study guide and Microsoft Learn content, the verified and correct answer is Custom Vision, as it specifically allows training of a custom object detection model using your own images.
NEW QUESTION # 131
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