
AI 900 - pt 12
Authored by Katheryne Pierce
Computers
University
Used 14+ times

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21 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
You are developing a system to predict the prices of insurance for drivers in the United Kingdom. You need to minimize bias in the system. What should you do?
Remove information about protected characteristics from the data before sampling.
Take a training sample that is representative of the population in the United Kingdom.
Create a training dataset that uses data from global insurers.
Take a completely random training sample.
2.
DROPDOWN QUESTION
1 min • 1 pt
Azure Machine Learning designer lets you create machine learning models by (a)
3.
REORDER QUESTION
1 min • 1 pt
You plan to deploy an Azure Machine Learning model by using the Machine Learning designer. Which four 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.
train model
evaluate model against dataset
split data randomly into training data & validation data
ingest & prepare data set
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
You have a dataset. You need to build an Azure Machine Learning classification model that will identify defective products. What should you do first?
Load the dataset.
Create a clustering model.
Split the data into training and testing datasets.
Create a classification model.
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
You use Azure Machine Learning designer to build a model pipeline. What should you create before you can run the pipeline?
registered model
compute resource
Jupyter notebook
6.
LABELLING QUESTION
1 min • 1 pt
Match the tool to the Azure Machine Learning task. To answer, drag the appropriate tool from the column on the left to its tasks on the right. Each tool may be used once, more than once, or not at all. NOTE: Each correct selection is worth one point.
Azure portal
Automated Machine Learning
Machine Learning Model
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
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?
machine learning
computer vision
chatbot
natural language processing (NLP)
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