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AI-900 Practice Questions

Question # 1
To complete the sentence, select the appropriate option in the answer area.


Question # 2
In which two scenarios can you use speech recognition? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
A. an in-car system that reads text messages aloud
B. providing closed captions for recorded or live videos
C. creating an automated public address system for a train station
D. creating a transcript of a telephone call or meeting


B. providing closed captions for recorded or live videos
D. creating a transcript of a telephone call or meeting


Question # 3
What is an example of a Microsoft responsible Al principle?
A. Al systems should protect the interests of developers.
B. Al systems should be in the public domain.
C. Al systems should be secure and respect privacy.
D. Al systems should make personal details accessible.


C. Al systems should be secure and respect privacy.


Question # 4
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

Question # 5
You plan to build a conversational Al solution that can be surfaced in Microsoft Teams. Microsoft Cortana, and Amazon Alexa. Which service should you use?
A. Azure Bot Service
B. Azure Cognitive Search
C. Language service
D. Speech


A. Azure Bot Service


Question # 6
You need to create a training dataset and validation dataset from an existing dataset. Which module in the Azure Machine Learning designer should you use?
A. Select Columns in Dataset
B. Add Rows
C. Split Data
D. Join Data


C. Split Data

Explanation:
A common way of evaluating a model is to divide the data into a training and test set by using Split Data, and then validate the model on the training data. Use the Split Data module to divide a dataset into two distinct sets. The studio currently supports training/validation data splits

Question # 7
For a machine learning progress, how should you split data for training and evaluation?
A. Use features for training and labels for evaluation.
B. Randomly split the data into rows for training and rows for evaluation.
C. Use labels for training and features for evaluation.
D. Randomly split the data into columns for training and columns for evaluation.


B. Randomly split the data into rows for training and rows for evaluation.


Question # 8
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

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Microsoft AI-900 Exam Dumps

Exam Name: Microsoft Azure AI Fundamentals
Certification Name: Microsoft Certified: Azure AI Fundamentals

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  • Total Questions: 276
  • Last Updation Date: 21-Jan-2025

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