Latest AI-901 Exam Pattern - Valid AI-901 Test Materials

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Microsoft AI-901 Exam Overview:

Certification Vendor:Microsoft
Exam Name:Microsoft Azure AI Fundamentals
Exam Number:AI-901
Passing Score:700
Certificate Validity Period:Lifetime
Exam Duration:60 minutes
Real Exam Qty:30-40
Available Languages:German, English, French, Indonesian (Indonesia), Arabic (Saudi Arabia), Russian, Spanish, Portuguese (Brazil), Italian, Korean, Chinese (Simplified), Japanese, Chinese (Traditional)
Exam Price:$99 USD
Exam Format:Multiple choice, Case studies, Multiple select
Recommended Training:Microsoft Learn: Get started with Microsoft Foundry
Microsoft Learn: AI concepts for developers and technology professionals
Exam Registration:Pearson VUE Scheduling
Microsoft Certification Exam Registration
Sample Questions:Microsoft AI-901 Sample Questions
Exam Way:Online proctored or onsite at Pearson VUE test centers
Pre Condition:No required prerequisites; basic understanding of cloud computing and familiarity with Python syntax recommended
Official Syllabus URL:https://learn.microsoft.com/en-us/credentials/certifications/exams/ai-901/

>> Latest AI-901 Exam Pattern <<

Microsoft - AI-901 Perfect Latest Exam Pattern

Are you planning to attempt the Microsoft AI-901 certification exam and don't know where to study for it and pass it with good marks? Dumpexams has designed the Microsoft Azure AI Fundamentals (AI-901) Questions, especially for the students who want to pass the AI-901 Certification Exam with good marks in a short time. These Microsoft Azure AI Fundamentals (AI-901) practice test questions are available in three different formats that you can carry with you anywhere and even do preparation in extra or free time with ease.

Microsoft AI-901 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Implement AI solutions by using Microsoft Foundry: This domain is hands-on and focuses on building and deploying AI solutions using the Microsoft Foundry platform and its associated tools. It spans generative AI apps, text and speech processing, computer vision, and document intelligence all implemented through the Foundry portal and SDK.
Topic 2
  • Identify AI concepts and capabilities: This domain covers the foundational knowledge of AI from ethical principles and responsible design to understanding how AI models work and what kinds of tasks they can perform. It also explores the full range of AI workloads including generative AI, computer vision, speech, and information extraction.

Microsoft Azure AI Fundamentals Sample Questions (Q17-Q22):

NEW QUESTION # 17
Hotspot Question
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 # 18
Which natural language processing feature can be used to identify the main talking points in customer feedback surveys?

Answer: A

Explanation:
To identify main talking points in feedback using Azure natural language processing, the Key Phrase Extraction feature within the Azure AI Language service is the most appropriate choice.
This feature analyzes text and extracts the most relevant and important phrases, effectively highlighting the core topics or themes present in the feedback.
Reference:
https://learn.microsoft.com/en-us/azure/architecture/data-guide/technology-choices/natural-language-processing


NEW QUESTION # 19
Select the answer that correctly complete the sentence.

Answer:

Explanation:

Explanation:
Azure Text Analytics client library
Comprehensive and Detailed Explanation with all Azure AI documents : =
The completed sentence is:
To develop an application that analyzes text by using Azure Language in Foundry Tools, use the Azure Text Analytics client library package.
Azure AI Language text analysis features, such as sentiment analysis, named entity recognition, key phrase extraction, language detection, and text summarization, are accessed in code by using the Azure Text Analytics client library .
The other options are incorrect:
Azure AI Projects client library is used for Foundry project and agent-related workflows, not specifically Azure Language text analysis.
Azure OpenAI client library is used to call OpenAI model deployments, not Azure Language text analytics APIs.
Azure Speech SDK is used for speech-to-text and text-to-speech workloads, not text analysis.


NEW QUESTION # 20
Hotspot Question
Select the answer that correctly completes the sentence.

Answer:

Explanation:

Explanation:
Box: computer vision
Counting the number of animals in an area using a video feed is a classic application of computer vision and object detection.
How It Works
Frame capture: The system takes video frames as digital images.
Object detection: AI models locate and draw bounds around each animal.
Tracking and counting: Algorithms count the distinct objects across frames.


NEW QUESTION # 21
Hotspot Question
Select the answer that correctly complete the sentence.

Answer:

Explanation:


NEW QUESTION # 22
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