Prepare for AI engineering Microsoft Quiz Answers

Get Prepare for AI engineering Microsoft Quiz Answers

AI Engineers design and develop intelligent solutions that encapsulate artificial intelligence (AI) capabilities. As an aspiring Azure AI Engineer, it’s important to understand some of the key foundational concepts on which AI is based, and the various services in Microsoft Azure that you can use to build AI solutions.

This learning path helps prepare you for Exam AI-102: Designing and Implementing a Microsoft Azure AI Solution.

Prerequisites:

Before starting this learning path, you should already have familiarity with Azure and the Azure portal, and a basic understanding of software engineering.

Enroll on Microsoft

Module 1: Prepare to develop AI solutions on Azure

As an aspiring Azure AI Engineer, you should understand core concepts and principles of AI development, and the capabilities of Azure services used in AI solutions.

Learning objectives:

After completing this module, you will be able to:

  • Define artificial intelligence
  • Understand AI-related terms
  • Understand considerations for AI Engineers
  • Understand considerations for responsible AI
  • Understand capabilities of Azure Machine Learning
  • Understand capabilities of Azure Cognitive Services
  • Understand capabilities of the Azure Bot Service
  • Understand capabilities of Azure Cognitive Search

Prerequisites:

Before starting this module, you should already have familiarity with Azure and the Azure portal, and a basic understanding of software engineering.

Quiz 1: Knowledge check

Q1. Which of the following best describes the predictions made by a machine learning model?

  • Absolutely correct values based on conditional logic.
  • Randomly selected values with an equal chance of selection.
  • Probabilistic values based on correlations found in training data.

Q2. A data scientist has used Azure Machine Learning to train a machine learning model. How can you use the model in your application?

  • Use Azure Machine Learning to publish the model as a web service.
  • Export the model as a cognitive service.
  • You must build your application using the Azure Machine Learning designer.

Q3. You want to index a collection of text documents, and search them from a mobile application. Which service should you use to create the index?

  • The Language cognitive service
  • Azure Cognitive Search
  • Azure Bot Service
Conclusion:

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This Problem is intended for audiences of all experiences who are interested in learning about Data Science in a business context; there are no prerequisites.

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