Free AI-900 Exam Braindumps
Microsoft Azure AI Fundamentals (Retired and replaced with AI-901) Questions 101–105 (page: 22)

HOTSPOT (Drag and Drop is not supported)

Select the answer that correctly completes the sentence.

Hot Area:

  1. See Explanation section for answer.

Answer(s): A

Explanation:




Dependent variables
Different techniques of regression in azure machine learning. One of the most very common techniques in regression is Linear Regression. The linear regression is a linear approach to modeling the relationship between a dependent variable and one or more independent variables. For example, if you want to predict the house prices (dependent variable) by using independent variables of house location, house size, the relationship will be linear.


Reference:

https://www.sqlshack.com/prediction-with-regression-in-azure-machine-learning/



DRAG DROP (Drag and Drop is not supported)

Match the tool to the Azure Machine Learning task.

To answer, drag the appropriate tool from the column on the left to its tasks on the right. Each tool may be used once, more than once, or not at all.

Note: Each correct selection is worth one point.

Select and Place:

  1. See Explanation section for answer.

Answer(s): A

Explanation:




Box 1: The Azure portal

Box 2: Machine Learning designer

Box 3: Automated machine learning (automated ML)
Automated machine learning, also referred to as automated ML or AutoML, is the process of automating the time-consuming, iterative tasks of machine learning model development. It allows data scientists, analysts, and developers to build ML models with high scale, efficiency, and productivity all while sustaining model quality.


Reference:

https://docs.microsoft.com/en-us/azure/machine-learning/concept-automated-ml



You need to create a customer support solution to help customers access information. The solution must support email, phone, and live chat channels.

Which type of AI solution should you use?

  1. machine learning
  2. computer vision
  3. chatbot
  4. natural language processing (NLP)

Answer(s): C

Explanation:

AI chatbots use natural language processing (NLP) to help users to interact with web services or apps through text, graphics, or speech. Chatbots can understand natural human language, emulate human conversation, and run simple, automated tasks. In addition, AI chatbots use predictive intelligence and analytics to learn a user's preferences and use this knowledge to provide recommendations and anticipate needs.

AI chatbots are used in a variety of channels, such as messaging apps, mobile apps, websites, phone lines, and voice-enabled apps. They can be developed to handle just a few simple commands or to serve as complex digital assistants and interactive agents. An AI chatbot can be a part of a larger application or be completely stand-alone.


Reference:

https://powervirtualagents.microsoft.com/en-us/ai-chatbot/



HOTSPOT (Drag and Drop is not supported)

Select the answer that correctly completes the sentence.

Hot Area:

  1. See Explanation section for answer.

Answer(s): A

Explanation:



DRAG DROP (Drag and Drop is not supported)

You plan to deploy an Azure Machine Learning model by using the Machine Learning designer.

Which four actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

Select and Place:

  1. See Explanation section for answer.

Answer(s): A

Explanation:



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Viewing questions 106 - 110 out of 303 questions


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