Download Microsoft Azure AI Fundamentals.dump4pass.AI-900.2022-11-21.1e.70q.vcex

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Exam Microsoft Azure AI Fundamentals
Number AI-900
File Name Microsoft Azure AI Fundamentals.dump4pass.AI-900.2022-11-21.1e.70q.vcex
Size 3.01 Mb
Posted November 21, 2022
Downloads 13
Download Microsoft Azure AI Fundamentals.dump4pass.AI-900.2022-11-21.1e.70q.vcex

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Demo Questions

Question 1

A company employs a team of customer service agents to provide telephone and email support to customers.
The company develops a webchat bot to provide automated answers to common customer queries.
Which business benefit should the company expect as a result of creating the webchat bot solution?

  • A: increased sales
  • B: a reduced workload for the customer service agents
  • C: improved product reliability

Correct Answer: B




Question 2

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.

Correct Answer: B

The Split Data module is particularly useful when you need to separate data into training and testing sets. Use the Split Rows option if you want to divide the data into two parts. You can specify the percentage of data to put in each split, but by default, the data is divided 50-50. You can also randomize the selection of rows in each group, and use stratified sampling.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/split-data




Question 3

You are designing an AI system that empowers everyone, including people who have hearing, visual, and other impairments.
This is an example of which Microsoft guiding principle for responsible AI?

  • A: fairness
  • B: inclusiveness
  • C: reliability and safety
  • D: accountability

Correct Answer: B

Inclusiveness: At Microsoft, we firmly believe everyone should benefit from intelligent technology, meaning it must incorporate and address a broad range of human needs and experiences. For the 1 billion people with disabilities around the world, AI technologies can be a game-changer.
Reference:
https://docs.microsoft.com/en-us/learn/modules/responsible-ai-principles/4-guiding-principles




Question 4

Match the types of AI workloads to the appropriate scenarios.
To answer, drag the appropriate workload type from the column on the left to its scenario on the right. Each workload type may be used once, more than once, or not at all.
NOTE: Each correct selection is worth one point.

Correct Answer: Exam simulator is required

Reference:
https://docs.microsoft.com/en-us/learn/paths/get-started-with-artificial-intelligence-on-azure/




Question 5

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

Correct Answer: Exam simulator is required

Box 1: Yes
Achieving transparency helps the team to understand the data and algorithms used to train the model, what transformation logic was applied to the data, the final model generated, and its associated assets. This information offers insights about how the model was created, which allows it to be reproduced in a transparent way.
Box 2: No
A data holder is obligated to protect the data in an AI system, and privacy and security are an integral part of this system. Personal needs to be secured, and it should be accessed in a way that doesn't compromise an individual's privacy.
Box 3: No
Inclusiveness mandates that AI should consider all human races and experiences, and inclusive design practices can help developers to understand and address potential barriers that could unintentionally exclude people. Where possible, speech-to-text, text-to-speech, and visual recognition technology should be used to empower people with hearing, visual, and other impairments.
Reference:
https://docs.microsoft.com/en-us/azure/cloud-adoption-framework/innovate/best-practices/trusted-ai




Question 6

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

Correct Answer: Exam simulator is required

Reference:
https://docs.microsoft.com/en-us/azure/cloud-adoption-framework/innovate/best-practices/trusted-ai




Question 7

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

Correct Answer: Exam simulator is required

Reference:
https://www.baeldung.com/cs/feature-vs-label
https://machinelearningmastery.com/discover-feature-engineering-how-to-engineer-features-and-how-to-get-good-at-it/




Question 8

You have the Predicted vs. True chart shown in the following exhibit.

   

Which type of model is the chart used to evaluate?

  • A: classification
  • B: regression
  • C: clustering

Correct Answer: B

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




Question 9

You need to predict the sea level in meters for the next 10 years.
Which type of machine learning should you use?

  • A: classification
  • B: regression
  • C: clustering

Correct Answer: B

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/studio-module-reference/linear-regression




Question 10

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

Correct Answer: Exam simulator is required

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Reference:
https://azure.microsoft.com/en-us/services/cognitive-services/form-recognizer/










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