[Mar 02, 2023] New AI-900 Exam Dumps with High Passing Rate [Q22-Q46]

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[Mar 02, 2023] New AI-900 Exam Dumps with High Passing Rate

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The Microsoft AI-900 exam will measure the candidates’ skills and competence in a range of topics. They are as follows:

Explain the Features of Conversational Artificial Intelligence Workloads Available on Azure (15-20%): The applicants must demonstrate the understanding of common use cases associated with conversational artificial intelligence. This area also measures one’s knowledge of Azure services associated with conversational artificial intelligence.
Explain the Features of NLP (Natural Language Processing) Workloads Available on Azure (15-20%): This subject area will measure your ability to identify the features of basic Natural Language Processing Workload scenarios. It will also test your skills in identifying different Azure services and tools for NLP workloads. The topic will cover the understanding of the capabilities of Text Analytics service, Language Understanding service, Speech service, and Translator Text service.
Explain AI Workloads & Considerations (15-20%): This section will measure the individuals’ ability to identify different features of common artificial intelligence workloads. It will also evaluate their competence in identifying the guiding principles that are responsible for AI.
Explain the Features of Computer Vision Workloads Available on Azure (15-20%): This domain requires that the test takers demonstrate competence in identifying the basic categories of computer vision solutions. It will also measure their skills in identifying different Azure services and tools for computer vision tasks. You will also need an understanding of the capabilities of Computer Vision service, Custom Vision service, Face service, and Form Recognizer service.
Explain the Fundamental Principles of ML on Azure (30-35%): The potential candidates for the Microsoft AI-900 exam should be able to identify the common types of machine learning and explain its core concepts. They also need to know how to identify the core tasks that are involved in creating the ML solutions. Additionally, they need to have the knowledge of the capabilities of no-code ML with Azure ML studio.

NO.22 To complete the sentence, select the appropriate option in the answer area.

NO.23 To complete the sentence, select the appropriate option in the answer area.

NO.24 You are developing a solution that uses the Text Analytics service.
You need to identify the main talking points in a collection of documents.
Which type of natural language processing should you use?

entity recognition

key phrase extraction

sentiment analysis

language detection

NO.25 Which two scenarios are examples of a conversational AI workload? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.

a smart device in the home that responds to questions such as “What will the weather be like today?”

a website that uses a knowledge base to interactively respond to users’ questions

assembly line machinery that autonomously inserts headlamps into cars

monitoring the temperature of machinery to turn on a fan when the temperature reaches a specific

NO.26 To complete the sentence, select the appropriate option in the answer area.

NO.27 You use drones to identify where weeds grow between rows of crops to send an Instruction for the removal of the weeds. This is an example of which type of computer vision?

scene segmentation

optical character recognition (OCR)

object detection

NO.28 Which AI service can you use to interpret the meaning of a user input such as “Call me back later?”

Translator Text

Text Analytics

Speech

Language Understanding (LUIS)

NO.29 You plan to develop a bot that will enable users to query a knowledge base by using natural language processing.
Which two services should you include in the solution? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

QnA Maker

Azure Bot Service

Form Recognizer

Anomaly Detector

NO.30 You plan to apply Text Analytics API features to a technical support ticketing system.
Match the Text Analytics API features to the appropriate natural language processing scenarios.
To answer, drag the appropriate feature from the column on the left to its scenario on the right. Each feature may be used once, more than once, or not at all.
NOTE: Each correct selection is worth one point.

NO.31 To complete the sentence, select the appropriate option in the answer area.

NO.32 Which metric can you use to evaluate a classification model?

true positive rate

mean absolute error (MAE)

coefficient of determination (R2)

root mean squared error (RMSE)

NO.33 Select the answer that correctly completes the sentence.

NO.34 To complete the sentence, select the appropriate option in the answer area.

NO.35 To complete the sentence, select the appropriate option in the answer area.

NO.36 To complete the sentence, select the appropriate option in the answer area.

NO.37 For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

NO.38 You build a machine learning model by using the automated machine learning user interface (UI).
You need to ensure that the model meets the Microsoft transparency principle for responsible AI.
What should you do?

Set Validation type to Auto.

Enable Explain best model.

Set Primary metric to accuracy.

Set Max concurrent iterations to 0.

NO.39 To complete the sentence, select the appropriate option in the answer area.

NO.40 What is a use case for classification?

predicting how many cups of coffee a person will drink based on how many hours the person slept the previous night.

analyzing the contents of images and grouping images that have similar colors

predicting whether someone uses a bicycle to travel to work based on the distance from home to work

predicting how many minutes it will take someone to run a race based on past race times

NO.41 For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

NO.42 For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

NO.43 You build a QnA Maker bot by using a frequently asked questions (FAQ) page.
You need to add professional greetings and other responses to make the bot more user friendly.
What should you do?

Increase the confidence threshold of responses

Enable active learning

Create multi-turn questions

Add chit-chat

NO.44 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.

NO.45 You are developing a chatbot solution in Azure.
Which service should you use to determine a user’s intent?

Translator Text

QnA Maker

Speech

Language Understanding (LUIS)

NO.46 For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.