D-DS-FN-23 無料問題集「EMC Dell Data Science Foundations」
Consider a database with the following four transactions:
Transaction 1: {cheese, bread, milk}
Transaction 2: {soda, bread, milk}
Transaction 3: {cheese, bread}
Transaction 4: {cheese, soda, juice}
Assuming a minimum support of 50%, which itemsets would be generated in the second step of the Apriori algorithm?
Transaction 1: {cheese, bread, milk}
Transaction 2: {soda, bread, milk}
Transaction 3: {cheese, bread}
Transaction 4: {cheese, soda, juice}
Assuming a minimum support of 50%, which itemsets would be generated in the second step of the Apriori algorithm?
正解:A
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Consider the example of an analysis for fraud detection on credit card usage. You will need to ensure higher-risk transactions that may indicate fraudulent credit card activity are retained in your data for analysis, and not dropped as outliers during pre-processing.
What will be your approach for loading data into the analytical sandbox for this analysis?
What will be your approach for loading data into the analytical sandbox for this analysis?
正解:C
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Your organization has a website where visitors randomly receive one of two coupons. It is also possible that visitors to the website will not receive a coupon.
You have been asked to determine if offering a coupon to visitors to your website has any impact on their purchase decision.
Which analysis method should you use?
You have been asked to determine if offering a coupon to visitors to your website has any impact on their purchase decision.
Which analysis method should you use?
正解:B
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You are using k-means clustering to classify heart patients for a hospital. You have chosen Patient Sex, Height, Weight, Age and Income as measures and have used 3 clusters.
When you create a pair-wise plot of the clusters, you notice that there is significant overlap between the clusters.
What should you do?
When you create a pair-wise plot of the clusters, you notice that there is significant overlap between the clusters.
What should you do?
正解:D
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