ActualTorrent Microsoft AI-900 Desktop Practice Exam

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Microsoft AI-900: Microsoft Azure AI Fundamentals exam is a certification that is designed to validate the candidate's knowledge and understanding of Artificial Intelligence (AI) and its applications on the Azure cloud platform. AI-900 exam is intended for individuals who are interested in understanding the basic concepts of AI and how it can be applied in various scenarios.

The Microsoft AI-900 exam covers a range of topics, including AI workloads and considerations, fundamental concepts of machine learning, data science processes, and Azure AI services. Candidates will be tested on their ability to identify Azure AI services, understand their features and benefits, and know how to use them to solve business problems. AI-900 Exam also includes questions on the ethical and legal considerations involved in AI and ML, such as privacy, transparency, and accountability.

Microsoft Azure AI Fundamentals Sample Questions (Q35-Q40):

NEW QUESTION # 35
To complete the sentence, select the appropriate option in the answer area.

Answer:

Explanation:

Reference:
https://azure.microsoft.com/en-gb/services/cognitive-services/speech-to-text/#features Speech recognition means Speech to Text. In the above example as a person speaks the words are converted into text of the same language. Hence Speech to Text also called Speech recognition is the right answer.
Speech recognition - the ability to detect and interpret spoken input.
Speech synthesis - the ability to generate spoken output.
https://docs.microsoft.com/en-us/learn/modules/recognize-synthesize-speech/1-introduction

NEW QUESTION # 36
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:
Explanation
Graphical user interface, text, application, letter, email Description automatically generated

NEW QUESTION # 37
You have the Predicted vs. True chart shown in the following exhibit.

Which type of model is the chart used to evaluate?

A. clustering
B. classification
C. regression

Answer: C

Explanation:
Explanation
What is a Predicted vs. True chart?
Predicted vs. True shows the relationship between a predicted value and its correlating true value for a regression problem. This graph can be used to measure performance of a model as the closer to the y=x line the predicted values are, the better the accuracy of a predictive model.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-understand-automated-m

NEW QUESTION # 38
You are evaluating whether to use a basic workspace or an enterprise workspace in Azure Machine Learning.
What are two tasks that require an enterprise workspace? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.

A. Use a graphical user interface (GUI) to define and run machine learning experiments from Azure Machine Learning designer.
B. Create a compute instance to use as a workstation.
C. Create a dataset from a comma-separated value (CSV) file.
D. Use a graphical user interface (GUI) to run automated machine learning experiments.

Answer: A,D

Explanation:
Note: Enterprise workspaces are no longer available as of September 2020. The basic workspace now has all the functionality of the enterprise workspace.
Reference:
https://www.azure.cn/en-us/pricing/details/machine-learning/
https://docs.microsoft.com/en-us/azure/machine-learning/concept-workspace

NEW QUESTION # 39
To complete the sentence, select the appropriate option in the answer area.

Answer:

Explanation:

Explanation

In the most basic sense, regression refers to prediction of a numeric target.
Linear regression attempts to establish a linear relationship between one or more independent variables and a numeric outcome, or dependent variable.
You use this module to define a linear regression method, and then train a model using a labeled dataset. The trained model can then be used to make predictions.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/algorithm-module-reference/linear-regression
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/machine-learning-initialize-m Regression is a form of machine learning that is used to predict a numeric label based on an item's features.
https://docs.microsoft.com/en-us/learn/modules/create-regression-model-azure-machine-learning-designer/introd

NEW QUESTION # 40
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ActualTorrent Microsoft AI-900 Desktop Practice Exam

Free PDF New Exam AI-900 Materials | Perfect New AI-900 Test Prep: Microsoft Azure AI Fundamentals

Microsoft Azure AI Fundamentals Sample Questions (Q35-Q40):

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