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The Microsoft AI-900 exam is ideal for individuals who are looking to kickstart their career in the field of AI or for professionals who want to enhance their knowledge of AI and its applications in Azure. AI-900 exam is also beneficial for students who are interested in learning about AI and its potential applications. Passing the AI-900 exam will not only validate one's understanding of AI and Azure but will also showcase their commitment to staying up-to-date with the latest technologies and trends in the industry.

Microsoft AI-900, also known as Microsoft Azure AI Fundamentals, is an entry-level certification exam that measures one's understanding of fundamental AI concepts and their application in Microsoft Azure. AI-900 Exam is designed for individuals who are interested in gaining foundational knowledge of AI and machine learning technologies to enhance their career prospects. It is also ideal for business leaders, developers, IT professionals, and students who want to demonstrate their proficiency in AI and Azure services.

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The Microsoft AI-900 Exam consists of 40-60 multiple-choice questions and has a time limit of 60 minutes. The passing score for the exam is 700 out of 1000. To prepare for the exam, Microsoft offers a variety of resources, including online training courses, practice exams, and study guides.

Microsoft Azure AI Fundamentals Sample Questions (Q324-Q329):

NEW QUESTION # 324
Select the answer that correctly completes the sentence.

Answer:

Explanation:


NEW QUESTION # 325
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?

Answer: C

Explanation:
Explanation
Object detection is similar to tagging, but the API returns the bounding box coordinates (in pixels) for each object found. For example, if an image contains a dog, cat and person, the Detect operation will list those objects together with their coordinates in the image. You can use this functionality to process the relationships between the objects in an image. It also lets you determine whether there are multiple instances of the same tag in an image.
The Detect API applies tags based on the objects or living things identified in the image. There is currently no formal relationship between the tagging taxonomy and the object detection taxonomy. At a conceptual level, the Detect API only finds objects and living things, while the Tag API can also include contextual terms like
"indoor", which can't be localized with bounding boxes.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/computer-vision/concept-object-detection


NEW QUESTION # 326
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:


NEW QUESTION # 327
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

Reference:
https://docs.microsoft.com/en-us/azure/bot-service/bot-service-overview-introduction?view=azure-bot-service-4.


NEW QUESTION # 328
You need to predict the sea level in meters for the next 10 years.
Which type of machine learning should you use?

Answer: B

Explanation:
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.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/linear-regression Regression is a form of machine learning that is used to predict a numeric label based on an item's features.
https://docs.microsoft.com/en-us/learn/modules/create-regression-model-azure-machine-learning-designer/introd


NEW QUESTION # 329
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