| Question.66 You have a knowledge base of frequently asked questions (FAQ). You create a bot that uses the knowledge base to respond to customer requests. You need to identify what the bot can perform without adding additional skills. What should you identify? A. Register customer purchases. B. Register customer complaints. C. Answer questions from multiple users simultaneously. D. Provide customers with return materials authorization (RMA) numbers. |
66. Click here to View Answer
Answer: C
| Question.67 You need to create a training dataset and validation dataset from an existing dataset. Which module in the Azure Machine Learning designer should you use? A. Select Columns in Dataset B. Add Rows C. Split Data D. Join Data |
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Answer: C
A common way of evaluating a model is to divide the data into a training and test set by using Split Data, and then validate the model on the training data.
Use the Split Data module to divide a dataset into two distinct sets.
The studio currently supports training/validation data splits
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-configure-cross-validation-data-splits
| Question.68 You need to track multiple versions of a model that was trained by using Azure Machine Learning. What should you do? A. Explain the model. B. Register the model. C. Register the training data. D. Provision an inference cluster. |
68. Click here to View Answer
Answer: B
| Question.69 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:  |
69. Click here to View Answer
Answer:
Box 3: Natural language processing
Natural language processing (NLP) is used for tasks such as sentiment analysis, topic detection, language detection, key phrase extraction, and document categorization.
Reference:
https://docs.microsoft.com/en-us/azure/architecture/data-guide/technology-choices/natural-language-processing
| Question.70 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.  |
70. Click here to View Answer
Answer:
