| Question.46 You need to identify street names based on street signs in photographs. Which type of computer vision should you use? A. object detection B. optical character recognition (OCR) C. image classification D. facial recognition |
46. Click here to View Answer
Answer: A
| Question.47 You have the process shown in the following exhibit.  Which type of AI solution is shown in the diagram? A. a sentiment analysis solution B. a chatbot C. a machine learning model D. a computer vision application |
47. Click here to View Answer
Answer:B
| Question.48 You use Azure Machine Learning designer to build a model pipeline. What should you create before you can run the pipeline? A. a registered model B. a compute resource C. a Jupyter notebook |
48. Click here to View Answer
Answer: B
| Question.49 A company employs a team of customer service agents to provide telephone and email support to customers. The company develops a webchat bot to provide automated answers to common customer queries. Which business benefit should the company expect as a result of creating the webchat bot solution? A. increased sales B. a reduced workload for the customer service agents C. improved product reliability |
49. Click here to View Answer
Answer: B
| Question.50 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:  |
50. Click here to View Answer
Answer:
Box 1: No –
The validation dataset is different from the test dataset that is held back from the training of the model.
Box 2: Yes –
A validation dataset is a sample of data that is used to give an estimate of model skill while tuning model’s hyperparameters.
Box 3: No –
The Test Dataset, not the validation set, used for this. The Test Dataset is a sample of data used to provide an unbiased evaluation of a final model fit on the training dataset.
Reference:
https://machinelearningmastery.com/difference-test-validation-datasets/