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NEW QUESTION 42
What is the proper workflow for analyzing data in Oracle Machine Learning?
- A. Evaluate the model, prepare the data, build the model, and deploy the model.
- B. Build the model, prepare the data, evaluate the model, and deploy the model.
- C. Get predictions from the model, prepare the data, build the model, and deploy the model
- D. Prepare the data, build the model, evaluate the model, and deploy the model.
Answer: B
NEW QUESTION 43
Which four actions would typically be performed during the data preparation step for analyzing data with Oracle Machine Learning?
- A. binning of numeric data
- B. missing value replacement
- C. data collection from various sources
- D. performing feature engineering, such as creating derived variables
- E. numeric data normalization
- F. building a machine learning model
Answer: B,C,D,E
NEW QUESTION 44
How can you share a notebook with multiple developers for a collaborative effort with notebook editing?
- A. Notebooks cannot be shared for collaborating with other users.
- B. You can share notebooks if you have Developer permissions.
- C. You create different notebooks, edit separately, and merge later.
- D. You can share notebooks if you have Viewer permissions.
Answer: B
NEW QUESTION 45
You want to predict which customers are likely to increase spending if given an additional credit card. Your task is to build a model using demographic and aggregated credit card data for customers who have used similar cards in the past.
Which machine learning technique should you use to achieve this?
- A. Feature Extraction
- B. Regression
- C. Classification
- D. Attribute Importance
Answer: D
NEW QUESTION 46
Which two templates are supported while saving a notebook?
- A. Shared
- B. Example
- C. Public
- D. Personal
Answer: A,D
Explanation:
Explanation
https://docs.oracle.com/en/database/oracle/machine-learning/oml-notebooks/omlug/notebooks-templates.html
NEW QUESTION 47
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