PCAD-31-02更新 - PCAD-31-02認證考試

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Python Institute PCAD-31-02 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Exploratory Data Analysis
Topic 2: SQL and Data Management
Topic 3: Data Visualization and Communication
Topic 4: Statistical Methods and Modeling
Topic 5: Data Acquisition and Pre-Processing	29.2%

>> PCAD-31-02更新 <<

Python Institute PCAD-31-02認證考試 - PCAD-31-02考證

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最新的 Python Institute Certification PCAD-31-02 免費考試真題 (Q70-Q75):

問題 #70
Which chart types are commonly used to represent relationships between two numerical variables in Python-based visualizations?
(choose two)
Response:

A. Histogram
B. Heatmap
C. Line chart
D. Scatter plot

答案：B,D

問題 #71
Which technique would be most appropriate to handle missing numerical values in a dataset intended for machine learning?

A. Filling with random values
B. Replacing with NULL
C. Dropping all columns
D. Imputation using mean or median

答案：D

問題 #72
What object-oriented principle allows a child class to reuse and extend the behavior of a parent class in a Python data modeling scenario?

A. Encapsulation
B. Inheritance
C. Abstraction
D. Composition

答案：B

問題 #73
What is the purpose of using the groupby() function in a Pandas DataFrame when analyzing a dataset with multiple categories and numerical values?

A. To sort the DataFrame by a specific column
B. To append new rows to the DataFrame
C. To filter rows based on index values
D. To split the data into subgroups for aggregation

答案：D

問題 #74
What is the primary reason for converting all categorical labels to lowercase during the data cleaning process?

A. To improve data visualization aesthetics
B. To make string comparison operations slower
C. To reduce memory usage in the dataset
D. To avoid treating the same category as different due to case differences

答案：D

問題 #75
......

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