| Question.21 DRAG DROP 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. Select and Place:  |
21. Click here to View Answer
Answer:
| Question.22 HOTSPOT For each of the following statements, select Yes if the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one point. Hot Area:  |
22. Click here to View Answer
Answer:
Box 1: No –
Build conversational experiences with Power Virtual Agents and Azure Bot Service
Azure Bot Service provides an integrated development environment for bot building. Its integration with Power Virtual Agents, a fully hosted low-code platform, enables developers of all technical abilities build conversational AI botsno code needed.
Box 2: Yes –
Box 3: Yes –
You can configure your bot to communicate with people via Microsoft Teams.
Reference:
https://azure.microsoft.com/en-us/services/bot-services/#overview https://docs.microsoft.com/en-us/azure/bot-service/channel-connect-teams
| Question.23 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. NOTE: Each correct selection is worth one point. (A) QnA Maker (B) Azure Bot Service (C) Form Recognizer (D) Anomaly Detector |
23. Click here to View Answer
Answer: AB
Reference:
https://docs.microsoft.com/en-us/azure/bot-service/bot-service-overview-introduction?view=azure-bot-service-4.0 https://docs.microsoft.com/en-us/azure/cognitive-services/luis/choose-natural-language-processing-service
| Question.24 DRAG DROP You need to use Azure Machine Learning designer to build a model that will predict automobile prices. Which type of modules should you use to complete the model? To answer, drag the appropriate modules to the correct locations. Each module may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content. NOTE: Each correct selection is worth one point. Select and Place:  |
24. Click here to View Answer
Answer:
Box 1: Select Columns in Dataset
For Columns to be cleaned, choose the columns that contain the missing values you want to change. You can choose multiple columns, but you must use the same replacement method in all selected columns.
Example:
Box 2: Split data –
Splitting data is a common task in machine learning. You will split your data into two separate datasets. One dataset will train the model and the other will test how well the model performed.
Box 3: Linear regression –
Because you want to predict price, which is a number, you can use a regression algorithm. For this example, you use a linear regression model.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/tutorial-designer-automobile-price-train-score
| Question.25 Natural language processing can be used to __________. Select the answer that correctly completes the sentence. (A) Analyze video content (B) Generate speech (C) Classify email messages as work-related or personal. (D) Classify images |
25. Click here to View Answer
Answer: C