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Microsoft AI-900 Dumps

Exam Code:
AI-900
Exam Name:
Microsoft Azure AI Fundamentals
Last Update: Sep 26, 2022
155 Questions
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Microsoft Azure AI Fundamentals

The Microsoft Azure AI Fundamentals is an exam that tests a candidate's knowledge regarding the fundamental and foundational skills of Microsoft. These skills are as simple as the fundamentals of Machine Learning (ML), Artificial Intelligence (AI), and the concepts and skills related to the Microsoft Azure Services. The candidates who can pass the Microsoft Azure AI Fundamentals will earn the Microsoft Azure AI Fundamentals certification. By acquiring this certification, the candidate gets a chance to demonstrate their knowledge of essential ML and AI workloads. They will also be able to showcase the implementation of these workloads on Azure. The Microsoft Azure AI Fundamentals certification is meant for candidates from both technical and non-technical backgrounds. No prior data science or software engineering experience is needed, but some basic programming knowledge would help.

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Microsoft Azure AI Fundamentals Questions and Answers

Questions 1

You plan to develop a bot that will enable users to query a knowledge base by using natural language processing.

Which two services should you include in the solution? Each correct answer presents part of the solution.

NOTE: Each correct selection is worth one point.

Options:

A.

QnA Maker

B.

Azure Bot Service

C.

Form Recognizer

D.

Anomaly Detector

Questions 2

You are developing a natural language processing solution in Azure. The solution will analyze customer reviews and determine how positive or negative each review is.

This is an example of which type of natural language processing workload?

Options:

A.

language detection

B.

sentiment analysis

C.

key phrase extraction

D.

entity recognition

Questions 3

You have insurance claim reports that are stored as text.

You need to extract key terms from the reports to generate summaries.

Which type of Al workload should you use?

Options:

A.

conversational Al

B.

anomaly detection

C.

natural language processing

D.

computer vision