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 541
HOTSPOT (Drag & Drop is not supported)
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Statement 1: You can communicate with a bot by using Cortana.
Statement 2: You can communicate with a bot by using Microsoft Teams.
Statement 3: You can communicate with a bot by using a webchat interface.
Answer
Statement 1: You can communicate with a bot by using Cortana. Yes
Statement 2: You can communicate with a bot by using Microsoft Teams. Yes
Statement 3: You can communicate with a bot by using a webchat interface. Yes
Question 542
You have an Al solution that provides users with the ability to control smart devices by using verbal commands.
Which two types of natural language processing (NLP) workloads does the solution use? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
A. text-to-speech
B. translation
C. language modeling
D. key phrase extraction
E. speech-to-text
Answer
C. language modeling
D. key phrase extraction
Question 543
HOTSPOT (Drag & Drop is not supported)
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Statement 1: You can communicate with a bot by using email.
Statement 2: You can communicate with a bot by using Microsoft Teams.
Statement 3: You can communicate with a bot by using a webchat interface.
Answer
Statement 1: You can communicate with a bot by using email. Yes
Statement 2: You can communicate with a bot by using Microsoft Teams. Yes
Statement 3: You can communicate with a bot by using a webchat interface. Yes
Question 544
HOTSPOT (Drag & Drop is not supported)
To complete the sentence, select the appropriate option in the answer area.
While presenting at a conference, your session is transcribed into subtitles for the audience. This is an example of __________.
A. sentiment analysis.
B. speech recognition.
C. speech synthesis.
D. translation.
Answer
B. speech recognition.
Question 545
DRAG DROP (Drag & Drop is not supported)
Match the types of natural languages processing 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.
Workloads Types:
- Entity recognition
- Key phrase extraction
- Language modeling
- Sentiment analysis
- Natural language processing
- Translation
- Speech recognition and speech synthesis
Answer Area:
- Extracts persons, locations, and organizations from the text.
- Evaluates text along a positive-negative scale.
- Returns text translated to the specified target language.
Answer
- Entity recognition: Extracts persons, locations, and organizations from the text.
- Sentiment analysis: Evaluates text along a positive-negative scale.
- Translation: Returns text translated to the specified target language.
Explanation
Box 1: Entity recognition
Classify a broad range of entities in text, such as people, places, organisations, date/time and percentages, using named entity recognition. Whereas:- Get a list of relevant phrases that best describe the subject of each record using key phrase extraction.
Box 2: Sentiment analysis
Sentiment Analysis is the process of determining whether a piece of writing is positive, negative or neutral.
Box 3: Translation
Using Microsoft’s Translator text API
This versatile API from Microsoft can be used for the following:
- Translate text from one language to another.
- Transliterate text from one script to another.
- Detecting language of the input text.
- Find alternate translations to specific text.
- Determine the sentence length.
Question 546
A triage bot that prioritize insurance claims based on injuries is an example of the Microsoft reliability and safety principle for responsible AI.
Answer
No
Question 547
You need to develop a chatbot for a website. The chatbot must answer users’ questions based on the information in the following documents:
A product troubleshooting guide in a Microsoft Word document A frequently asked questions (FAQ) list on a webpage
Which service should you use to process the documents?
A. Azure Bot Service
B. Language Understanding
C. Text Analytics
D. QnA Maker
Answer
D. QnA Maker
Question 548
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 549
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.
A. QnA Maker
B. Azure Bot Service
C. Form Recognizer
D. Anomaly Detector
Answer
A. QnA Maker
B. Azure Bot Service
Question 550
DRAG DROP (Drag & Drop is not supported)
Match the tool to the Azure Machine Learning task.
To answer, drag the appropriate tool from the column on the left to its tasks on the right. Each tool may be used once, more than once, or not at all
NOTE: Each correct match is worth one point.
Tools
- Automated machine learning (automated ML)
- The Azure portal
- Machine Learning designer
Answer Area
- Create a Machine Learning workspace.
- Use a drag-and-drop interface used to train and deploy models.
- Use a wizard to select configurations for a machine learning run.
Answer
- The Azure portal: Create a Machine Learning workspace.
- Machine Learning designer: Use a drag-and-drop interface used to train and deploy models.
- Automated machine learning (automated ML): Use a wizard to select configurations for a machine learning run.