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Microsoft AI-102 Exam Sample Questions

Question # 1

You are building a solution that will detect anomalies in sensor data from the previous 24 hours. You need to ensure that the solution scans the entire dataset, at the same time, for anomalies. Which type of detection should you use?

A. batch

B. streaming

C. change point

Answer

A.

batch

Explanation:
Batch anomaly detection is a type of anomaly detection that scans the entire dataset at once for outliers and unusual patterns. Batch anomaly detection is suitable for offline analysis of historical data, such as sensor data from the previous 24 hours. Batch anomaly detection can use various techniques, such as statistical methods, machine learning methods, or hybrid methods, to identify anomalies in the data123.

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Question # 2

You are building a retail chatbot that will use a QnA Maker service. You upload an internal support document to train the model. The document contains the following question: "What is your warranty period?" Users report that the chatbot returns the default QnA Maker answer when they ask the following question: "How long is the warranty coverage?" The chatbot returns the correct answer when the users ask the following question: 'What is your warranty period?" Both questions should return the same answer. You need to increase the accuracy of the chatbot responses. Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order. (Choose three.)

---

Question # 3

You are building a natural language model. You need to enable active learning. What should you do?

A. Add show-all-intents=true to the prediction endpoint query.

B. Enable speech priming

C. Add log=true to the prediction endpoint query.

D. Enable sentiment analysis.

Answer

B.

Enable speech priming

Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-how-to-review-endpointutterances#
log-user-queries-to-enable-active-learning

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Question # 4

Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution. After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen. You develop an application to identify species of flowers by training a Custom Vision model. You receive images of new flower species. You need to add the new images to the classifier. Solution: You create a new model, and then upload the new images and labels. Does this meet the goal?

A. Yes

B. No

Answer

B.

No

Explanation:
The model needs to be extended and retrained.

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Question # 5

What is used to define a query in a stream processing jobs in Azure Stream Analytics?

A. SQL

B. XML

C. YAML

D. KOL

Answer

A.

SQL

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