[2024年最新] 完璧AI-900問題集問題と解答で一年無料最速更新 [Q86-Q107]

[2024年最新] 完璧AI-900問題集問題と解答で一年無料最速更新

更新されたのは2024年リアルな無敵AI-900問題集で100% 無料AI-900試験問題集

この試験は、AI分野でキャリアをスタートさせたい個人や、AIとそのAzureでの応用に関する知識を高めたいプロフェッショナルに最適です。また、AIとその潜在的な応用に興味を持つ学生にも有益です。AI-900試験に合格することで、AIとAzureの理解を検証するだけでなく、業界での最新の技術やトレンドについて常に最新の情報を持つことを証明することができます。

質問 # 86
To complete the sentence, select the appropriate option in the answer area.

正解：

解説：

Reference:
https://docs.microsoft.com/en-us/learn/modules/responsible-ai-principles/4-guiding-principles AI systems should perform reliably and safely. For example, consider an AI-based software system for an autonomous vehicle; or a machine learning model that diagnoses patient symptoms and recommends prescriptions. Unreliability in these kinds of system can result in substantial risk to human life.
https://docs.microsoft.com/en-us/learn/modules/get-started-ai-fundamentals/7-understand-responsible-ai

質問 # 87
You need to make the press releases of your company available in a range of languages.
Which service should you use?

A. Language Understanding (LUIS)
B. Translator Text
C. Text Analytics
D. Speech

正解：B

解説：
Explanation
Translator is a cloud-based machine translation service you can use to translate text in near real-time through a simple REST API call. The service uses modern neural machine translation technology and offers statistical machine translation technology. Custom Translator is an extension of Translator, which allows you to build neural translation systems.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/translator/

質問 # 88
Select the answer that correctly completes the sentence.

正解：

解説：

Explanation:

質問 # 89
What are three Microsoft guiding principles for responsible AI? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.

A. decisiveness
B. knowledgeability
C. opinionatedness
D. fairness
E. reliability and safety
F. inclusiveness

正解：D、E、F

解説：
Reference:
https://docs.microsoft.com/en-us/learn/modules/responsible-ai-principles/4-guiding-principles

質問 # 90
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

正解：

解説：

Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/anomaly-detection

質問 # 91
To complete the sentence, select the appropriate option in the answer area.

正解：

解説：

Explanation:

Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/team-data-science-process/create-features

質問 # 92
Match the principles of responsible AI to appropriate requirements.
To answer, drag the appropriate principles from the column on the left to its requirement on the right. Each principle may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.

正解：

解説：

Reference:
https://docs.microsoft.com/en-us/azure/cloud-adoption-framework/innovate/best-practices/trusted-ai
https://docs.microsoft.com/en-us/learn/modules/responsible-ai-principles/4-guiding-principles

質問 # 93
Select the answer that correctly completes the sentence

正解：

解説：

質問 # 94
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

正解：

解説：

Reference:
https://docs.microsoft.com/en-us/azure/architecture/reference-architectures/ai/conversational-bot
https://docs.microsoft.com/en-us/azure/bot-service/bot-builder-webchat-overview?view=azure-bot-service-4.0

質問 # 95
Match the types of computer vision 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 match is worth one point.

正解：

解説：

Explanation:

質問 # 96
For which two workloads can you use computer vision? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point.

A. creating photorealistic images by using three-dimensional models
B. creating visual representations of numerical data
C. describing the contents of an image
D. assigning the color pixels in an image to object names
E. detecting inconsistencies and anomalies in a stream of data

正解：C、D

質問 # 97
Which type of machine learning should you use to predict the number of gift cards that will be sold next month?

A. clustering
B. regression
C. classification

正解：B

解説：
Section: Describe fundamental principles of machine learning on Azure
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/studio-module-reference/linear-regression

質問 # 98
You need to develop a chatbot for a website. The chatbot must answer users questions based on the information m the following documents
* A product troubleshooting guide m a Microsoft Word document
* A frequently asked questions (FAQ) list on a webpage
Which service should you use to process the documents?

A. QnA Maker
B. Azure Bot Service
C. Language Undemanding
D. Text Analytics

正解：A

質問 # 99
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

正解：

解説：

Reference:
https://docs.microsoft.com/en-us/azure/bot-service/bot-service-manage-channels?view=azure-bot-service-4.0 All 3 are correct as they are the different channels to connect with a bot Office 365 email - Enable a bot to communicate with users via Office 365 email.
Microsoft Teams - Configure a bot to communicate with users through Microsoft Teams.
Web Chat - Automatically configured for you when you create a bot with the Bot Framework Service.
https://docs.microsoft.com/en-us/azure/bot-service/bot-service-manage-channels?view=azure-bot-service-4.0

質問 # 100
Which metric can you use to evaluate a classification model?

A. mean absolute error (MAE)
B. true positive rate
C. root mean squared error (RMSE)
D. coefficient of determination (R2)

正解：B

解説：
What does a good model look like?
An ROC curve that approaches the top left corner with 100% true positive rate and 0% false positive rate will be the best model. A random model would display as a flat line from the bottom left to the top right corner. Worse than random would dip below the y=x line.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-understand-automated-ml#classification

質問 # 101
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

正解：

解説：

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

Reference:
https://docs.microsoft.com/en-us/azure/bot-service/bot-service-overview-introduction?view=azure-bot-service-4.

質問 # 102
To complete the sentence, select the appropriate option in the answer area.

正解：

解説：

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

質問 # 103
You have the following dataset.

You plan to use the dataset to train a model that will predict the house price categories of houses.
What are Household Income and House Price Category? To answer, select the appropriate option in the answer area.
NOTE: Each correct selection is worth one point.

正解：

解説：

Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/studio/interpret-model-results

質問 # 104
Match the Azure Al service to the appropriate actions.
To answer, drag the appropriate service from the column on the left to its action on the right Each service may be used once, more than once, or not at all.
NOTE: Each correct match is worth one point.

正解：

解説：

質問 # 105
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. Create a dataset from a comma-separated value (CSV) file.
B. Use a graphical user interface (GUI) to define and run machine learning experiments from Azure Machine Learning designer.
C. Use a graphical user interface (GUI) to run automated machine learning experiments.
D. Create a compute instance to use as a workstation.

正解：B、C

解説：
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

質問 # 106
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.

正解：

解説：

1 - Ingest and prepare a dataset.
2 - Split the data rendomly in training.. .
3 - Train the model.
4 - Evaluate the model against the validation dataset.