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AI-900 Microsoft Azure AI Fundamentals Exam Questions and Answers – Page 6 Part 1

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.

Question 511

You are building a knowledge base by using QnA Maker. Which file format can you use to populate the knowledge base?

A. PDF
B. PPTX
C. XML
D. ZIP

Answer

A. PDF

Explanation

PDF: Content types of documents you can add to a knowledge base:

Content types include many standard structured documents such as PDF, DOC, and TXT.

Note: The tool supports the following file formats for ingestion:

.tsv: QnA contained in the format Question(tab)Answer.
.txt, .docx, .pdf: QnA contained as regular FAQ content — that is, a sequence of questions and answers.

Incorrect Answers:

A: PPTX is the default presentation file format for new PowerPoint presentations.

B: It is not possible to ingest xml file directly.

Question 512

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 m a Microsoft Word document.
  • A frequently asked questions (FAQ) list on a webpage.

Which service should you use to process the documents?

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

Answer

D. QnA Maker

Question 513

You need to track multiple versions of a model that was trained by using Azure Machine Learning. What should you do?

A. Provision an inference duster.
B. Explain the model.
C. Register the model.
D. Register the training data.

Answer

C. Register the model.

Question 514

You have insurance claim reports that are stored as text. You need to extract key terms from the reports to generate summaries. Which type of Al workload should you use?

A. conversational Al
B. anomaly detection
C. natural language processing
D. computer vision

Answer

C. natural language processing

Explanation

Key phrase extraction is the concept of evaluating the text of a document, or documents, and then identifying the main talking points of the document(s). Key phase extraction is a part of Text Analytics. The Text Analytics service is a part of the Azure Cognitive Services offerings that can perform advanced natural language processing over raw text.

Question 515

In which scenario should you use key phrase extraction?

A. translating a set of documents from English to German
B. generating captions for a video based on the audio track
C. identifying whether reviews of a restaurant are positive or negative
D. identifying which documents provide information about the same topics

Answer

C. identifying whether reviews of a restaurant are positive or negative

Question 516

You are developing a conversational AI solution that will communicate with users through multiple channels including email, Microsoft Teams, and webchat. Which service should you use?

A. Text Analytics
B. Azure Bot Service
C. Translator
D. Form Recognizer

Answer

B. Azure Bot Service

Question 517

You have a webchat bot that provides responses from a QnA Maker knowledge base. You need to ensure that the bot uses user feedback to improve the relevance of the responses over time. What should you use?

A. key phrase extraction
B. sentiment analysis
C. business logic
D. active learning

Answer

D. active learning

Question 518

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. Choose two.)

A. QnA Maker
B. Azure Bot Service
C. Form Recognizer
D. Anomaly Detector

Answer

A. QnA Maker
B. Azure Bot Service

Question 519

In which two scenarios can you use a speech synthesis solution? (Each correct answer presents a complete solution. Choose two.)

A. an automated voice that reads back a credit card number entered into a telephone by using a numeric keypad
B. generating live captions for a news broadcast
C. extracting key phrases from the audio recording of a meeting
D. an AI character in a computer game that speaks audibly to a player

Answer

A. an automated voice that reads back a credit card number entered into a telephone by using a numeric keypad
D. an AI character in a computer game that speaks audibly to a player

Explanation

Azure Text to Speech is a Speech service feature that converts text to lifelike speech.
Incorrect:
Not C: Extracting key phrases is not speech synthesis.

Question 520

Providing an explanation of the outcome of a credit loan application is an example of the Microsoft transparency principle for responsible AI.

A. Yes
B. No

Answer

A. Yes

Explanation

Achieving transparency helps the team to understand the data and algorithms used to train the model, what transformation logic was applied to the data, the final model generated, and its associated assets. This information offers insights about how the model was created, which allows it to be reproduced in a transparent way.