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Python Institute PCAD-31-02 Exam Syllabus Topics:

Section	Weight	Objectives
Statistical Methods and Modeling
Data Visualization and Communication
Data Acquisition and Pre-Processing	29.2%
Exploratory Data Analysis
SQL and Data Management

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Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions (Q139-Q144):

NEW QUESTION # 139
Why is it important to adjust data presentations based on the audience's background?

A. To ensure the data is understood and supports actionable insights
B. To avoid using charts altogether
C. To include as many technical terms as possible
D. To simplify all metrics to percentages only

Answer: A

NEW QUESTION # 140
What is the primary reason to use .head() and .tail() methods in pandas when exploring datasets?

A. To preview the first and last few rows of data
B. To create visualizations
C. To rename columns
D. To delete missing values

Answer: A

NEW QUESTION # 141
Which approaches are commonly used to extract structured data from APIs in Python?
(Choose two)

A. Open Excel files using matplotlib
B. Load CSV directly with re.compile()
C. Access data using requests.get() and parse it with .json()
D. Use the requests module to retrieve JSON responses

Answer: C,D

NEW QUESTION # 142
You have a list of product prices, and you need to remove duplicate values while maintaining the fastest performance. Which core data structure should you use?

A. set
B. tuple
C. list
D. dictionary

Answer: A

NEW QUESTION # 143
Which practices are essential to ensure a fair evaluation of a machine learning model's performance?
(Choose two)

A. Splitting data into training and test sets
B. Training on the entire dataset including test records
C. Using cross-validation to assess generalizability
D. Randomizing the test dataset labels

Answer: A,C

NEW QUESTION # 144
......

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