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Microsoft AI-900 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Fundamentals of machine learning on Azure	25-30%	- Core machine learning concepts 1. Training and validation concepts 2. Supervised vs unsupervised learning
Topic 2: Features of natural language processing (NLP) workloads on Azure	30-35%	- Text analytics and language understanding 1. Language modeling and translation 2. Key phrase extraction 3. Sentiment analysis
Topic 3: Features of computer vision workloads on Azure	15-20%	- Computer vision solutions 1. Object detection 2. Image classification 3. OCR and image analysis
Topic 4: Describe AI workloads and considerations	20-25%	- Fundamentals of artificial intelligence concepts 1. Responsible AI principles 2. Common AI workloads

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Microsoft Azure AI Fundamentals Sample Questions (Q294-Q299):

NEW QUESTION # 294
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

Box 1: No
Box 2: Yes
Box 3: Yes
Anomaly detection encompasses many important tasks in machine learning:
Identifying transactions that are potentially fraudulent.
Learning patterns that indicate that a network intrusion has occurred.
Finding abnormal clusters of patients.
Checking values entered into a system.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/anomaly-detection

NEW QUESTION # 295
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:

Reference:
https://docs.microsoft.com/en-us/azure/bot-service/bot-service-manage-channels?view=azure-bot-service-4.0 All 3 are correct as they are the different channels to connect with a bot Office 365 email - Enable a bot to communicate with users via Office 365 email.
Microsoft Teams - Configure a bot to communicate with users through Microsoft Teams.
Web Chat - Automatically configured for you when you create a bot with the Bot Framework Service.
https://docs.microsoft.com/en-us/azure/bot-service/bot-service-manage-channels?view=azure-bot-service-4.0

NEW QUESTION # 296
To complete the sentence, select the appropriate option in the answer area.

Answer:

Explanation:
Explanation

Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/team-data-science-process/create-features

NEW QUESTION # 297
To complete the sentence, select the appropriate option in the answer area.

Answer:

Explanation:

Explanation
Diagram, table Description automatically generated

Reference:
https://docs.microsoft.com/en-us/azure/cloud-adoption-framework/innovate/best-practices/trusted-ai

NEW QUESTION # 298
You need to analyze images of vehicles on a highway and measure the distance between the vehicles. Which type of computer vision model should you use?

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

Answer: A

Explanation:
In this scenario, analyzing vehicle images and measuring the distance between them requires first detecting each vehicle's position in the image. Object detection models can locate and identify multiple objects (such as cars, trucks, or motorcycles) by assigning bounding boxes. Once detected, their coordinates can be used to calculate distances or spacing.
Image classification only assigns a single label per image, not per object. Facial recognition is human- focused, and OCR deals with text extraction. Thus, object detection is the correct model type for this task.

NEW QUESTION # 299
......

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