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 31
Which AI service can you use to interpret the meaning of a user input such as “Call me back later?”
A. Translator Text
B. Text Analytics
C. Speech
D. Language Understanding (LUIS)
Answer
B. Text Analytics
Explanation
Text Analytics is an AI service that uncovers insights such as sentiment, entities, and key phrases in unstructured text.
Question 32
You are developing a chatbot solution in Azure.
Which service should you use to determine a user’s intent?
A. Translator Text
B. QnA Maker
C. Speech
D. Language Understanding (LUIS)
Answer
D. Language Understanding (LUIS)
Explanation
Language Understanding (LUIS) is a cloud-based API service that applies custom machine-learning intelligence to a user’s conversational, natural language text to predict overall meaning, and pull out relevant, detailed information.
Design your LUIS model with categories of user intentions called intents. Each intent needs examples of user utterances. Each utterance can provide data that needs to be extracted with machine-learning entities.
Question 33
You need to make the press releases of your company available in a range of languages.
Which service should you use?
A. Translator Text
B. Text Analytics
C. Speech
D. Language Understanding (LUIS)
Answer
A. Translator Text
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.
Press release is a written communication. Speech wouldn’t make sense. Plus, the Speech service doesn’t translate languages, it “translates” audio into text, and vice versa.
Question 34
You are developing a natural language processing solution in Azure. The solution will analyze customer reviews and determine how positive or negative each review is.
This is an example of which type of natural language processing workload?
A. language detection
B. sentiment analysis
C. key phrase extraction
D. entity recognition
Answer
B. sentiment analysis
Explanation
Sentiment Analysis is the process of determining whether a piece of writing is positive, negative or neutral.
Question 35
You use natural language processing to process text from a Microsoft news story.
You receive the output shown in the following exhibit.
Which type of natural languages processing was performed?
A. entity recognition
B. key phrase extraction
C. sentiment analysis
D. translation
Answer
B. key phrase extraction
Explanation
Key phrase extraction/ Broad entity extraction: Identify important concepts in text, including key phrases and named entities such as people, places, and organizations.
You can provide the Text Analytics service with unstructured text and it will return a list of entities in the text that it recognizes. You can provide the Text Analytics service with unstructured text and it will return a list of entities in the text that it recognizes. The service can also provide links to more information about that entity on the web. An entity is essentially an item of a particular type or a category; and in some cases, subtype, such as those as shown in the following table.
Question 36
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?
A. entity recognition
B. key phrase extraction
C. sentiment analysis
D. language detection
Answer
B. key phrase extraction
Explanation
Broad entity extraction: Identify important concepts in text, including key
Key phrase extraction/ Broad entity extraction: Identify important concepts in text, including key phrases and named entities such as people, places, and organizations.
Question 37
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
Answer
B. providing closed captions for recorded or live videos
D. creating a transcript of a telephone call or meeting
Question 38
You need to build an app that will read recipe instructions aloud to support users who have reduced vision.
Which version service should you use?
A. Text Analytics
B. Translator Text
C. Speech
D. Language Understanding (LUIS)
Answer
C. Speech
Question 39
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. a telephone answering service that has a pre-recorder message
B. a chatbot that provides users with the ability to find answers on a website by themselves
C. telephone voice menus to reduce the load on human resources
D. a service that creates frequently asked questions (FAQ) documents by crawling public websites
Answer
B. a chatbot that provides users with the ability to find answers on a website by themselves
C. telephone voice menus to reduce the load on human resources
Explanation
B: A bot is an automated software program designed to perform a particular task. Think of it as a robot without a body.
C: Automated customer interaction is essential to a business of any size. In fact, 61% of consumers prefer to communicate via speech, and most of them prefer self-service. Because customer satisfaction is a priority for all businesses, self-service is a critical facet of any customer-facing communications strategy.
Not D: Early bots were comparatively simple, handling repetitive and voluminous tasks with relatively straightforward algorithmic logic. An example would be web crawlers used by search engines to automatically explore and catalog web content.
Question 40
You need to provide content for a business chatbot that will help answer simple user queries.
What are three ways to create question and answer text by using QnA Maker?
Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
A. Generate the questions and answers from an existing webpage.
B. Use automated machine learning to train a model based on a file that contains the questions.
C. Manually enter the questions and answers.
D. Connect the bot to the Cortana channel and ask questions by using Cortana.
E. Import chit-chat content from a predefined data source.
Answer
A. Generate the questions and answers from an existing webpage.
C. Manually enter the questions and answers.
E. Import chit-chat content from a predefined data source.
Explanation
Automatic extraction
Extract question-answer pairs from semi-structured content, including FAQ pages, support websites, excel files, SharePoint documents, product manuals and policies.