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NEW QUESTION: 1
You have a dataset created for multiclass classification tasks that contains a normalized numerical feature set with 10,000 data points and 150 features.
You use 75 percent of the data points for training and 25 percent for testing. You are using the scikit-learn machine learning library in Python. You use X to denote the feature set and Y to denote class labels.
You create the following Python data frames:

You need to apply the Principal Component Analysis (PCA) method to reduce the dimensionality of the feature set to 10 features in both training and testing sets.
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: PCA(n_components = 10)
Need to reduce the dimensionality of the feature set to 10 features in both training and testing sets.
Example:
from sklearn.decomposition import PCA
pca = PCA(n_components=2) ;2 dimensions
principalComponents = pca.fit_transform(x)
Box 2: pca
fit_transform(X[, y])fits the model with X and apply the dimensionality reduction on X.
Box 3: transform(x_test)
transform(X) applies dimensionality reduction to X.
References:
https://scikit-learn.org/stable/modules/generated/sklearn.decomposition.PCA.html

NEW QUESTION: 2
You are implementing the indexing strategy for a fact table in a data warehouse. The fact table is named Quotes. The table has no indexes and consists of seven columns:
[ID]

[QuoteDate]

[Open]

[Close]

[High]

[Low]

[Volume]

Each of the following queries must be able to use a columnstore index:
SELECT AVG ([Close]) AS [AverageClose] FROMQuotes WHERE [QuoteDate] BETWEEN '20100101'

AND '20101231'.
SELECT AVG([High] - [Low]) AS [AverageRange] FROM Quotes WHERE [QuoteDate] BETWEEN

'20100101' AND '20101231'.
SELECT SUM([Volume]) AS [SumVolume] FROM Quotes WHERE [QuoteDate] BETWEEN '20100101'

AND '20101231'.
You need to ensure that the indexing strategy meets the requirements. The strategy must also minimize the number and size of the indexes.
What should you do?
A. Create two columnstore indexes:One containing [ID], [QuoteDate], [Volume], and [Close]One containing [ID], [QuoteDate], [High], and [Low]
B. Create one columnstore index that contains [QuoteDate], [Close], [High], [Low], and [Volume].
C. Create three coiumnstore indexes:One containing [QuoteDate] and [Close]One containing [QuoteDate],
[High], and [Low]One containing [QuoteDate] and [Volume]
D. Create one columnstore index that contains [ID], [Close], [High], [Low], [Volume], and [QuoteDate].
Answer: B
Explanation:
Explanation/Reference:
Explanation:
References: http://msdn.microsoft.com/en-us/library/gg492088.aspx
http://msdn.microsoft.com/en-us/library/gg492153.aspx

NEW QUESTION: 3
You want to uninstall an rpm package foo without verifying its dependencies. Which of the following commands will you use?
A. rpm -e --allmatches
B. rpm -e --noscript
C. rpm --erase --allmatches
D. rpm -e --nodeps
Answer: D

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