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PROFESSIONAL-DATA-ENGINEER · Question #18
Business owners at your company have given you a database of bank transactions. Each row contains the user ID, transaction type, transaction location, and transaction amount. They ask you to investiga
The correct answer is B. Unsupervised learning to determine which transactions are most likely to be fraudulent. C. Clustering to divide the transactions into N categories based on feature similarity. D. Supervised learning to predict the location of a transaction.. Explanation/Reference: Fraud is not a feature, so unsupervised, location is given so supervised, Clustering can be done looking at the done with same features.
Submitted by satoshi_tk· Mar 30, 2026Operationalizing machine learning models
Question
Business owners at your company have given you a database of bank transactions. Each row contains the user ID, transaction type, transaction location, and transaction amount. They ask you to investigate what type of machine learning can be applied to the data. Which three machine learning applications can you use? (Choose three.)
Options
- ASupervised learning to determine which transactions are most likely to be fraudulent.
- BUnsupervised learning to determine which transactions are most likely to be fraudulent.
- CClustering to divide the transactions into N categories based on feature similarity.
- DSupervised learning to predict the location of a transaction.
- EReinforcement learning to predict the location of a transaction.
- FUnsupervised learning to predict the location of a transaction.
How the community answered
(46 responses)- A11% (5)
- B78% (36)
- E4% (2)
- F7% (3)
Explanation
Explanation/Reference: Fraud is not a feature, so unsupervised, location is given so supervised, Clustering can be done looking at the done with same features.
Topics
#supervised learning#unsupervised learning#clustering#ML algorithm selection
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