Oracle Exam 1Z0-1096-23 Topic 11 Question 32 Discussion

Actual exam question for Oracle's 1Z0-1096-23 exam

Question #: 32
Topic #: 11

A supermarket needs to segment its customers based on their purchasing pattern. Which machine learning technique should you use to achieve this?

AAnomaly Detection

BRegression

CClustering

DAssociation Rules

Show Suggested Answer

Suggested Answer: C

https://docs.oracle.com/en/database/oracle/machine-learning/oml4sql/21/mlsql/oracle-machine-learning-sql-guide.pdf

by Katie at Sep 13, 2024, 12:21 PM

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Jaime

6 months ago

Clustering is the way to go, for sure. Although, I did hear a funny story about a grocery store that tried to use regression and ended up with a bunch of confused customers who couldn't figure out why the cashier was asking them to take the square root of their total bill.

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Samira

6 months ago

I don't know, I feel like anomaly detection could be interesting too. You could find the customers that are outliers in their buying patterns and see what makes them different. But yeah, clustering is probably the safest bet.

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Bernardo

5 months ago

Association rules could also be helpful in understanding the relationships between different products that customers tend to buy together.

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Telma

5 months ago

Regression might not be the best option for segmenting customers. It's more suited for predicting numerical values.

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Ludivina

5 months ago

Anomaly detection could be useful too. It can help identify unusual buying patterns that don't fit into any specific group.

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Gregg

5 months ago

Clustering sounds like a good choice. It can group similar customers together based on their purchasing behavior.

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Isidra

7 months ago

I was thinking association rules might be useful, like figuring out which items customers tend to buy together. But I guess that's more for product recommendations, not segmentation. Clustering is probably the best choice here.

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Mike

6 months ago

Anomaly detection might not be the best choice for segmenting customers based on purchasing patterns.

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Winfred

6 months ago

Yes, clustering can group customers with similar purchasing behaviors together.

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Margarett

6 months ago

Clustering would definitely help in segmenting customers based on their purchasing patterns.

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Ahmed

7 months ago

Hmm, I'm not sure about that. Regression might work too, if you're trying to predict customer behavior based on certain variables. But clustering does seem more appropriate for customer segmentation.

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Tyisha

6 months ago

Association rules could also be useful in identifying patterns in customer purchasing behavior.

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Son

6 months ago

Anomaly detection might not be the best choice for this task.

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Tegan

7 months ago

I think clustering would be the best option for segmenting customers based on their purchasing patterns.

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Emile

7 months ago

Regression could work for predicting customer behavior, but clustering is more suitable for segmentation.

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Ludivina

7 months ago

Clustering is definitely the way to go here! You want to group customers based on their buying habits, and that's exactly what clustering is designed for.

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