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

Exam Question 51

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: Azure bot service can be integrated with the powerful AI capabilities with Azure Cognitive Services.
Statement 2: Azure bot service engages with customers in a conversational manner.
Statement 3: The QnA Maker service creates knowledge base, not question and answers sets.

Correct Answer:
Statement 1: Yes
Statement 2: Yes
Statement 3: No
Note: You can use the QnA Maker service and a knowledge base to add question-and-answer support to your bot. When you create your knowledge base, you seed it with questions and answers.

Exam Question 52

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: Forecasting housing prices based on historical data is an example of anomaly detection.
Statement 2: Identifying suspicious sign-ins by looking for deviations from usual patterns is an example of anomaly detection.
Statement 3: Predicting whether a patient will develop diabetes based on the patient’s medical history is an example of anomaly detection.

Correct Answer:
Statement 1: No
Statement 2: Yes
Statement 3: Yes
Answer Description:
Anomaly detection encompasses many important tasks in machine learning:

  • Identifying transactions that are potentially fraudulent.
  • Learning patterns that indicate that a network intrusion has occurred.
  • Finding abnormal clusters of patients.
  • Checking values entered into a system.

Exam Question 53

You are developing a model to predict events by using classification. You have a confusion matrix for the model scored on test data as shown in the following exhibit.

You are developing a model to predict events by using classification.
You are developing a model to predict events by using classification.

Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic. NOTE: Each correct selection is worth one point.

Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic.
Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic.

Correct Answer:

Answer Description:
Box 1: 11

TP = True Positive.
The class labels in the training set can take on only two possible values, which we usually refer to as positive or negative. The positive and negative instances that a classifier predicts correctly are called true positives (TP) and true negatives (TN), respectively. Similarly, the incorrectly classified instances are called false positives (FP) and false negatives (FN).

Box 2: 1,033

FN = False Negative

Exam Question 54

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.
Workloads Types:

  • Anomaly detection
  • Computer vision
  • Conversational AI
  • Knowledge mining
  • Natural language processing

Answer Ares:

  • An automated chat to answer questions about refunds and exchange.
  • Determining whether a photo contains a person.
  • Determining whether a review is positive or negative.

Correct Answer:
Conversational AI: An automated chat to answer questions about refunds and exchange
Computer Vision: Determining whether a photo contains a person
Natural language processing: Determining whether a review is positive or negative

Exam Question 55

This is the foundation of AI and and is the way we teach a computer model to make predictions and draw conclusions from data

Correct Answer:
Machine Learning

Exam Question 56

The capability to detect errors or unusual activity in a system

Correct Answer:
Anomaly detection

Exam Question 57

The capability of software to interpret the world visually through cameras, video, and images

Correct Answer:
Computer Vision

Exam Question 58

The capability of a software “agent” to participate in a conversation

Correct Answer:
Conversational AI

Exam Question 59

In Azure Machine Learning Service, this feature enables non-experts to quickly create an effective machine learning model from data

Correct Answer:
Automated Machine Learning

Exam Question 60

In Azure Machine Learning Service, this is a graphical interface enabling no-code development of machine learning solutions

Correct Answer:
Azure Machine Learning Designer