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Microsoft AI-900 Exam Questions

Certification Exams

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Description

Exam Name: Microsoft Azure AI Fundamentals
Exam Code: AI-900
Related Certification(s): Microsoft Azure AI Fundamentals Certification
Certification Provider: Microsoft
Actual Exam Duration: 45 Minutes
Number of AI-900 practice questions in our database: 270

Expected AI-900 Exam Topics, as suggested by Microsoft :

  • Module 1: Describe Artificial Intelligence workloads and considerations: It identifies specifications of common AI workloads and guiding principles for responsible AI.
  • Module 2: Describe fundamental principles of machine learning on Azure: It describes core machine learning concepts and Azure Machine Learning capabilities. Moreover, the topic also delves into identifying common machine learning techniques.
  • Module 3: Describe features of computer vision workloads on Azure: This topic discusses identifying common types of computer vision solution, Azure tools and services for computer vision tasks.
  • Module 4: Describe features of Natural Language Processing (NLP) workloads on Azure: In this topic, questions about common NLP Workload Scenarios features, Azure tools, and services for NLP workloads appear.
  • Module 5: Describe features of generative AI workloads on Azure: Features of generative AI solutions and capabilities of Azure OpenAI Service are discussed in this topic.

Description

Exam Name: Microsoft Azure AI Fundamentals
Exam Code: AI-900
Related Certification(s): Microsoft Azure AI Fundamentals Certification
Certification Provider: Microsoft
Actual Exam Duration: 45 Minutes
Number of AI-900 practice questions in our database: 270

Expected AI-900 Exam Topics, as suggested by Microsoft :

  • Module 1: Describe Artificial Intelligence workloads and considerations: It identifies specifications of common AI workloads and guiding principles for responsible AI.
  • Module 2: Describe fundamental principles of machine learning on Azure: It describes core machine learning concepts and Azure Machine Learning capabilities. Moreover, the topic also delves into identifying common machine learning techniques.
  • Module 3: Describe features of computer vision workloads on Azure: This topic discusses identifying common types of computer vision solution, Azure tools and services for computer vision tasks.
  • Module 4: Describe features of Natural Language Processing (NLP) workloads on Azure: In this topic, questions about common NLP Workload Scenarios features, Azure tools, and services for NLP workloads appear.
  • Module 5: Describe features of generative AI workloads on Azure: Features of generative AI solutions and capabilities of Azure OpenAI Service are discussed in this topic.

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Q1. You need to provide content for a business chatbot that will help answer simple user queries. What are three ways to create question and answer text by using Azure Al Language Service's question answering? Each correct answer presents a complete solution. NOTE: Each correct and ask questions by selection is worth one point.

A.Connect the bot to the Cortana channel using Cortana.

B. Import chit-chat content from a predefined data source.

C. Manually enter the questions and answers.

D. Use Azure Machine Learning Automated ML to train a model based on a file that contains question and answer pairs.

E. Generate the questions and answers from an existing webpage.

Correct Answer: B, C, E

Q2. You plan to use Azure Machine Learning Studio and automated machine learning (automated ML) to build and train a model What should you create first?

A.Jupyter notebook

B. Machine Learning workspace

C. registered dataset

D. Machine Learning designer pipeline

Correct Answer: B

Q3. You need to convert receipts into transactions in a spreadsheet. The spreadsheet must include the date of the transaction, the merchant the total spent and any taxes paid. Which Azure Al service should you use?

A.Face

B. Azure Al Language

C. Azure Al Document Intelligence

D. Azure Al Custom Vision

Correct Answer: C

Q4. What should you implement to identify hateful responses returned by a generative Al solution?

A.prompt engineering

B. abuse monitoring

C. content filtering

D. fine-tuning

Correct Answer: D

Q5. You are building an Al-based loan approval app. You need to ensure that the app documents why a loan is approved or rejected and makes the report available to the applicant. This is an example of which Microsoft responsible Al principle?

A.fairness

B. inclusiveness

C. transparency

D. accountability

Correct Answer: C

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