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NEW QUESTION 25
For a machine learning progress, how should you split data for training and evaluation?

• A. Randomly split the data into columns for training and columns for evaluation.
• B. Use labels for training and features for evaluation.
• C. Use features for training and labels for evaluation.
• D. Randomly split the data into rows for training and rows for evaluation.

Answer: D

Explanation:
Explanation
https://docs.microsoft.com/en-us/azure/machine-learning/algorithm-module-reference/split-data

NEW QUESTION 26
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.

Answer:

Explanation:
Explanation

Reference:
https://docs.microsoft.com/en-us/learn/paths/get-started-with-artificial-intelligence-on-azure/

NEW QUESTION 27
You need to create a customer support solution to help customers access information. The solution must support email, phone, and live chat channels. Which type of Al solution should you use?

• A. natural language processing (NLP)
• B. computer vision
• C. machine learning
• D. chatbot

Answer: A

NEW QUESTION 28
To complete the sentence, select the appropriate option in the answer area.

Answer:

Explanation:

Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/computer-vision/concept-object-detection

NEW QUESTION 29
You are developing a chatbot solution in Azure.
Which service should you use to determine a user's intent?

• A. Speech
• B. Language Understanding (LUIS)
• C. Translator Text
• D. QnA Maker

Answer: B

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.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/what-is-luis

NEW QUESTION 30
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