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

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.

AI-900 Microsoft Azure Fundamentals Exam Questions and Answers

Exam Question 501

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.
Select and Place:
API Features:

  • Entity recognition
  • Key phrase extraction
  • Language detection
  • Sentiment analysis

Answer Area:

  • Understand how upset a customer is based on the text contained in the support ticket.
  • Summarize important information from the support ticket.
  • Extract key dates from the support ticket.

Correct Answer:
Sentiment analysis: Understand how upset a customer is based on the text contained in the support ticket.
Key phrase extraction: Summarize important information from the support ticket.
Entity recognition: Extract key dates from the support ticket.

Answer Description:
API Feature 1: Sentiment analysis. Sentiment Analysis is the process of determining whether a piece of writing is positive, negative or neutral.
API Feature 2: Broad entity extraction: 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.
API Feature 3: Entity Recognition: Named Entity Recognition: Identify and categorize entities in your text as people, places, organizations, date/time, quantities, percentages, currencies, and more. Well-known entities are also recognized and linked to more information on the web.

Exam Question 502

_____ is used to generate additional features.

A. Feature engineering
B. Feature selection
C. Model evaluation
D. Model training

Correct Answer:
A. Feature engineering

Exam Question 503

Returning a bounding box that indicates the location of a vehicle in an image is an example of _____.

A. image classification
B. object detection
C. optical character recognizer (OCR)
D. semantic segmentation

Correct Answer:
B. object detection

Exam Question 504

Match the types of AI 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.
Workload Types:

  • Anomaly detection
  • Computer vision
  • Machine Learning (Regression)
  • Natural language processing

Answer Area:

  • Identify handwritten letters.
  • Predict the sentiment of a social media post.
  • Identify a fraudulent credit card payment.
  • Predict next month’s toy sales.

Correct Answer:
Computer vision: Identify handwritten letters.
Natural language processing: Predict the sentiment of a social media post.
Anomaly detection: Identify a fraudulent credit card payment.
Machine Learning (Regression): Predict next month’s toy sales.

Exam Question 505

You are building an AI-based app. You need to ensure that the app uses the principles for responsible AI. Which two principles should you follow? (Each correct answer presents part of the solution. Choose two.)

A. Implement an Agile software development methodology.
B. Implement a process of AI model validation as part of the software review process.
C. Establish a risk governance committee that includes members of the legal team, members of the risk management team, and a privacy officer.
D. Prevent the disclosure of the use of AI-based algorithms for automated decision making.

Correct Answer:
B. Implement a process of AI model validation as part of the software review process.
C. Establish a risk governance committee that includes members of the legal team, members of the risk management team, and a privacy officer.

References:
Microsoft Docs > Azure > Cloud Adoption Framework > Adopt > Innovate > Responsible and trusted AI
Microsoft Docs > Implications of responsible AI – Practical guide

Exam Question 506

You are authoring a Language Understanding (LUIS) application to support a music festival. You want users to be able to ask questions about scheduled shows, such as: “Which act is playing on the main stage?”. The question “Which act is playing on the main stage?” is an example of which type of element?

A. an intent
B. an utterance
C. a domain
D. an entity

Correct Answer:
B. an utterance

Answer Description:
Utterances are input from the user that your app needs to interpret.

References:
Microsoft Docs > Azure > Cognitive Services > Language Understanding (LUIS) > Understand what good utterances are for your LUIS app

Exam Question 507

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?

A. Increase the confidence threshold of responses.
B. Enable active learning.
C. Create multi-turn questions.
D. Add chit-chat.

Correct Answer:
D. Add chit-chat.

References:
Microsoft Docs > Azure > Cognitive Services  >QnA Maker > Azure Cognitive Services QnA Maker

Exam Question 508

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?

A. scene segmentation
B. optical character recognition (OCR)
C. object detection

Correct Answer:
A. scene segmentation

Exam Question 509

You need to build an image tagging solution for social media that tags images of your friends automatically. Which Azure Cognitive Services service should you use?

A. Computer Vision
B. Face
C. Text Analytics
D. Form Recognizer

Correct Answer:
B. Face

Exam Question 510

You use Azure Machine Learning designer to build a model pipeline. What should you create before you can run the pipeline?

A. a Jupyter notebook
B. a registered model
C. a compute resource

Correct Answer:
C. a compute resource

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