The latest Microsoft AI-900 Azure AI Fundamentals certification actual real practice exam question and answer (Q&A) dumps are available free, which are helpful for you to pass the Microsoft AI-900 Azure AI Fundamentals exam and earn Microsoft AI-900 Azure AI Fundamentals certification.
Table of Contents
Question 521
An triage bot that prioritizes insurance claims based on injuries is an example of the Microsoft reliability and safety principle for responsible AI.
A. Yes
B. No
Answer
B. No
Explanation
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.
Question 522
An AI solution that is offered at different prices for different sales territories is an example of the Microsoft inclusiveness principle for responsible AI.
A. Yes
B. No
Answer
B. No
Explanation
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.
Question 523
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
- You can use the Translator service to translate text between languages.
- You can use the Translator service to detect the language of a given text.
- You can use the Translator service to transcribe audible speech into text.
Answer
- You can use the Translator service to translate text between languages. Yes
- You can use the Translator service to detect the language of a given text. Yes
- You can use the Translator service to transcribe audible speech into text. No
Explanation
The translator service provides multi-language support for text translation, transliteration, language detection, and dictionaries. Speech-to-Text, also known as automatic speech recognition (ASR), is a feature of Speech Services that provides transcription.
Question 524
Match the services to the appropriate descriptions. To answer, drag the appropriate service from the column on the left to its description on the right. Each service may be used once, more than once, or not at all.
Services:
- Azure Storage
- Language Understanding (LUIS)
- QnA Maker
- Speech
Answer Area:
- Enables the use of natural language to query a knowledge base.
- Enables the real-time transcription of speech-to-text.
Answer
- Language Understanding (LUIS): Enables the real-time transcription of speech-to-text.
- QnA Maker: Enables the use of natural language to query a knowledge base.
Question 525
You need to scan the news for articles about your customers and alert employees when there is a negative article. Positive articles must be added to a press book. Which natural language processing tasks should you use to complete the process? (To answer, drag the appropriate tasks to the correct locations. Each task 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.)
Answer
Explanation
Box 1: Entity recognition. The Named Entity Recognition module in Machine Learning Studio (classic), to identify the names of things, such as people, companies, or locations in a column of text. Named entity recognition is an important area of research in machine learning and natural language processing (NLP), because it can be used to answer many real-world questions, such as:
- Which companies were mentioned in a news article?
- Does a tweet contain the name of a person? Does the tweet also provide his current location?
- Were specified products mentioned in complaints or reviews?
Box 2: Sentiment Analysis. The Text Analytics API’s Sentiment Analysis feature provides two ways for detecting positive and negative sentiment. If you send a Sentiment Analysis request, the API will return sentiment labels (such as “negative”, “neutral” and “positive”) and confidence scores at the sentence and document-level.
Question 526
To complete the sentence, select the appropriate option in the answer area.
According to Microsoft’s _________________ principle of responsible AI, AI systems should NOT reflect biases from the data sets that are used to train the systems.
A. accountability
B. fairness
C. inclusiveness
D. transparency
Answer
B. fairness
Question 527
You plan to deploy an Azure Machine Learning model as a service that will be used by client applications. Which three processes should you perform in sequence before you deploy the model? (To answer, move the appropriate processes from the list of processes to the answer area and arrange them in the correct order.)
Processes:
- data encryption
- model retraining
- model training
- data preparation
- model evaluation
Answer
- data preparation
- model training
- model evaluation
Question 528
Which two of these sources can you translate from one language into another?
A. Image
B. Handwriting
C. Text
D. Video
E. Speech
Answer
C. Text
E. Speech
Question 529
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
- Organizing documents into groups based on similarities of the text contained in the documents is an example of clustering.
- Grouping similar patients based on symptoms and diagnostic test results is an example of clustering.
- Predicting whether a person will develop mild, moderate, or severe allergy symptoms based on pollen count is an example of clustering.
Answer
- Organizing documents into groups based on similarities of the text contained in the documents is an example of clustering. Yes
- Grouping similar patients based on symptoms and diagnostic test results is an example of clustering. Yes
- Predicting whether a person will develop mild, moderate, or severe allergy symptoms based on pollen count is an example of clustering. No
Explanation
Clustering is a machine learning task that is used to group instances of data into clusters that contain similar characteristics. Clustering can also be used to identify relationships in a dataset
Regression is a machine learning task that is used to predict the value of the label from a set of related features.
Question 530
You are building a Language Understanding model for an e-commerce business.
You need to ensure that the model detects when utterances are outside the intended scope of the model.
What should you do?
A. Test the model by using new utterances
B. Add utterances to the None intent
C. Create a prebuilt task entity
D. Create a new model
Answer
B. Add utterances to the None intent
Explanation
The None intent is filled with utterances that are outside of your domain.