AI-900 Valid Dumps Ppt | AI-900 Certification

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Actual AI-900 Microsoft Azure AI Fundamentals Questions 2026

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Exam AI-900: Microsoft Azure AI Fundamentals

Candidates for this exam should have foundational knowledge of machine learning (ML) and artificial intelligence (AI) concepts and related Microsoft Azure services.

This exam is an opportunity to demonstrate knowledge of common ML and AI workloads and how to implement them on Azure.

This exam is intended for candidates with both technical and non-technical backgrounds. Data science and software engineering experience are not required; however, some general programming knowledge or experience would be beneficial.

Azure AI Fundamentals can be used to prepare for other Azure role-based certifications like Azure Data Scientist Associate or Azure AI Engineer Associate, but it’s not a prerequisite for any of them.

Part of the requirements for: Microsoft Certified: Azure AI Fundamentals

Download exam skills outline

The Microsoft AI-900 Exam consists of 40-60 multiple-choice questions and has a time limit of 60 minutes. To pass the exam, candidates must achieve a minimum score of 700 out of 1000. AI-900 exam can be taken online or through a testing center, and the cost of the exam varies by location.

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:


NEW QUESTION # 295
You plan to apply Text Analytics API features to a technical support ticketing system.
Match the Text Analytics API features to the appropriate natural language processing scenarios.
To answer, drag the appropriate feature from the column on the left to its scenario on the right. Each feature may be used once, more than once, or not at all.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Reference:
https://docs.microsoft.com/en-us/azure/architecture/data-guide/technology-choices/natural-language-processing
https://azure.microsoft.com/en-us/services/cognitive-services/text-analytics


NEW QUESTION # 296
You have the process shown in the following exhibit.

Which type AI solution is shown in the diagram?

Answer: B


NEW QUESTION # 297
Which Azure Al Language feature can be used to retrieve data, such as dates and people's names, from social media posts?

Answer: C

Explanation:
The Azure AI Language service provides several NLP features, including language detection, key phrase extraction, sentiment analysis, and named entity recognition (NER).
When you need to extract specific data points such as dates, names, organizations, or locations from unstructured text (for example, social media posts), the correct feature is Entity Recognition.
Entity Recognition identifies and classifies information in text into predefined categories like:
* Person names (e.g., "John Smith")
* Organizations (e.g., "Contoso Ltd.")
* Dates and times (e.g., "October 22, 2025")
* Locations, events, and quantities
This capability helps transform unstructured textual data into structured data that can be analyzed or stored.
Option analysis:
* A (Language detection): Determines the language of a text (e.g., English, French).
* B (Speech recognition): Converts spoken audio to text; not applicable here.
* C (Key phrase extraction): Identifies important phrases or topics but not specific entities like names or dates.
* D (Entity recognition): Correctly extracts names, dates, and other specific data from text.
Hence, the accurate feature for this scenario is D. Entity Recognition.


NEW QUESTION # 298
You have an Azure Machine Learning model that predicts product quality. The model has a training dataset that contains 50,000 records. A sample of the data is shown in the following table.

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


NEW QUESTION # 299
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