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DRAG DROP
–
Match the principles of responsible AI to the appropriate descriptions.
To answer, drag the appropriate principle from the column on the left to its description on the right. Each principle 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.
During the process of Machine Learning, when should you review evaluation metrics.
- A. Before you train a model.
- B. After you clean the data.
- C. Before you choose the type of model.
- D. After you test a model on the validation data.
You have a natural language processing (NLP) model that was created by using data obtained without permission.
Which Microsoft principle for responsible AI does this breach?
- A. reliability and safety
- B. privacy and security
- C. inclusiveness
- D. transparency
HOTSPOT
–
Select the answer that correctly completes the sentence.
DRAG DROP
–
Match the services to the appropriate descriptions.
To answer, drag the appropriate service from the column on the left to its description on the right. Each service 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.
Which machine learning technique can be used for anomaly detection?
- A. A machine learning technique that classifies objects based on user supplied images.
- B. A machine learning technique that understands written and spoken language.
- C. A machine learning technique that classifies images based on their contents.
- D. A machine learning technique that analyzes data over time and identifies unusual changes.
You have an AI-based loan approval system.
During testing, you discover that the system has a gender bias.
Which responsible Al principle does this violate?
- A. accountability
- B. reliability and safety
- C. transparency
- D. fairness
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?
- A. Remove information about protected characteristics from the data before sampling.
- B. Take a training sample that is representative of the population in the United Kingdom.
- C. Create a training dataset that uses data from global insurers.
- D. Take a completely random training sample.
HOTSPOT
–
Select the answer that correctly completes the sentence.
You have a dataset.
You need to build an Azure Machine Learning classification model that will identify defective products.
What should you do first?
- A. Load the dataset.
- B. Create a clustering model.
- C. Split the data into training and testing datasets.
- D. Create a classification model.