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NEW QUESTION: 1
For worker nodes, which of the following statements are correct? (Number of correct answers: 3) Score 2
A. You should choose the lowest possible instance specification for your workers, to reduce costs.
B. You should choose higher instance specifications, because you can run more tasks on a single worker node this way, improving utilization.
C. Attach data disk to worker nodes, because Docker image, system logs, and temp data will consume space. Without a data disk, systems can quickly run out of disk space.
D. Ensure redundant worker node capacity for each running pod.
E. If worker node capacity is more than 1000 cores, consider using EBM (ECS Bare Metal).
Answer: A,C,D
NEW QUESTION: 2

A. Option C
B. Option A
C. Option B
D. Option D
Answer: C
NEW QUESTION: 3
You are creating a machine learning model in Python. The provided dataset contains several numerical columns and one text column. The text column represents a product's category. The product category will always be one of the following:
* Bikes
* Cars
* Vans
* Boats
You are building a regression model using the scikit-learn Python package.
You need to transform the text data to be compatible with the scikit-learn Python package.
How should you complete the code segment? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation:
Box 1: pandas as df
Pandas takes data (like a CSV or TSV file, or a SQL database) and creates a Python object with rows and columns called data frame that looks very similar to table in a statistical software (think Excel or SPSS for example.
Box 2: transpose[ProductCategoryMapping]
Reshape the data from the pandas Series to columns.
Reference:
https://datascienceplus.com/linear-regression-in-python/