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Oracle Exam 1Z0-1096-23 Topic 5 Question 25 Discussion

Actual exam question for Oracle's 1Z0-1096-23 exam
Question #: 25
Topic #: 5
[All 1Z0-1096-23 Questions]

Which is a FALSE statement regarding Oracle Machine Learning (OML)?

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Suggested Answer: B

To segment your customer data for marketing research purposes and identify homogeneous groups to build supervised models, you should use clustering12.

Clustering is a type of unsupervised machine learning that groups data points based on their similarities in terms of features or attributes.Clustering can help discover the underlying structure of the data and reveal the natural segments or categories within it12.

Clustering can be useful for marketing research because it can help identify different types of customers based on their demographics, preferences, behaviors, or needs.Clustering can also help create customer profiles or personas that can be used to target specific segments with tailored marketing campaigns or offers12.

Clustering can also be used as a preliminary step for building supervised models, such as classification or regression.By using the cluster labels as an additional feature or a target variable, supervised models can learn from the cluster information and improve their accuracy or performance12.


by Iraida at Jul 10, 2024, 12:31 PM

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Cary
11 months ago
I see your point, Edmond. Classification could also work for this purpose.
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Edmond
11 months ago
But wouldn't classification be better for building supervised models?
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Tu
11 months ago
I agree with Cary, clustering would help us identify homogeneous groups.
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Cary
11 months ago
I think we should use clustering to segment the customer data.
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Shawna
11 months ago
B) Clustering all the way! It's like grouping your customers into little friendship circles, but for marketing. Genius!
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Oretha
11 months ago
I'd go with C) Feature Extraction. You need to extract the right features from the data before you can build any supervised models.
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Rana
11 months ago
D) Classification would be my choice. It helps in categorizing data into different classes.
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Paris
11 months ago
I agree with A) Regression. It helps in predicting continuous values based on input features.
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Joesph
11 months ago
I think B) Clustering would be more appropriate. It helps identify similar groups within the data.
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Pamella
11 months ago
Definitely B) Clustering. It's the best way to segment customers into homogeneous groups for targeted marketing models.
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Rachael
11 months ago
Clustering helps identify patterns in the data that can be used for targeted marketing.
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Tora
11 months ago
I agree, B) Clustering is the way to go for segmenting customer data.
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