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Microsoft AI-900 Exam

Certification Provider: Microsoft
Exam Name: Microsoft Azure AI Fundamentals
Number of questions in our database: 89
Exam Version: Jun. 07, 2021
AI-900 Exam Official Topics:
  • Topic 1: Describe how machine learning algorithms are used for model training/ Identify common machine learning types
  • Topic 2: Identify features of image classification solutions/ Identify features of common AI workloads
  • Topic 3: Identify clustering machine learning scenarios/ Automated Machine Learning UI tool/ azure Machine Learning designer
  • Topic 4: Identify conversational AI workloads Identify guiding principles for responsible AI/ Identify prediction/forecasting workloads
  • Topic 5: Select and interpret model evaluation metrics for classification and regression/ Identify clustering machine learning scenarios
  • Topic 6: describe how training and validation datasets are used in machine learning/ Identify features of anomaly detection workloads
  • Topic 7: Identify features of semantic segmentation solutions/ Identify natural language processing or knowledge mining workloads
  • Topic 8: Describe fundamental principles of machine learning on Azure/ Identify core tasks in creating a machine learning solution
  • Topic 9: Describe features of computer vision workloads on Azure/ Describe considerations for privacy and security in an AI solution
  • Topic 10: Identify features of object detection solutions/ identify features and labels in a data set for machine learning
  • Topic 11: Describe considerations for reliability and safety in an AI solution/ Identify classification machine learning scenarios

Free Microsoft AI-900 Exam Actual Questions

The questions for AI-900 were last updated On Jun. 07, 2021

Question #1

Your website has a chatbot to assist customers.

You need to detect when a customer is upset based on what the customer types in the chatbot.

Which type of AI workload should you use?

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Correct Answer: D

Natural language processing (NLP) is used for tasks such as sentiment analysis, topic detection, language detection, key phrase extraction, and document categorization.

Sentiment Analysis is the process of determining whether a piece of writing is positive, negative or neutral.

Question #2

You are developing a chatbot solution in Azure.

Which service should you use to determine a user's intent?

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Correct Answer: D

Language Understanding (LUIS) is a cloud-based API service that applies custom machine-learning intelligence to a user's conversational, natural language text to predict overall meaning, and pull out relevant, detailed information.

Design your LUIS model with categories of user intentions called intents. Each intent needs examples of user utterances. Each utterance can provide data that needs to be extracted with machine-learning entities.

Question #3

You need to make the press releases of your company available in a range of languages.

Which service should you use?

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Correct Answer: A

Translator is a cloud-based machine translation service you can use to translate text in near real-time through a simple REST API call. The service uses modern neural machine translation technology and offers statistical machine translation technology. Custom Translator is an extension of Translator, which allows you to build neural translation systems.

Question #4

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?

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Correct Answer: B

Sentiment Analysis is the process of determining whether a piece of writing is positive, negative or neutral.

Question #5

Which AI service should you use to create a bot from a frequently asked questions (FAQ) document?

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Correct Answer: A

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