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Python Institute PCED-30-02 Exam Syllabus Topics:

Section	Objectives
Topic 1: Python Programming Fundamentals	- Basic syntax and data types 1. Control flow basics 2. Variables and operators
Topic 2: Data Analysis and Visualization	- Data cleaning and preprocessing 1. Data transformation techniques 2. Missing values handling - Data visualization 1. Matplotlib basics 2. Plot interpretation
Topic 3: Basic Statistics for Data Analysis	- Descriptive statistics 1. Variance and standard deviation 2. Mean, median, mode
Topic 4: Data Handling and Processing with Python	- Data manipulation libraries 1. NumPy basics 2. Pandas fundamentals - Working with data structures 1. Lists, tuples, dictionaries 2. Iterating and transformations

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Python Institute PCED - Certified Entry-Level Data Analyst with Python Sample Questions (Q11-Q16):

NEW QUESTION # 11
You are analyzing survey results from students about their favorite colors. The list colorsstores individual responses:

You want to:
- find the number of unique colors mentioned using NumPy, and
- determine how often each color was chosen using Counter.
Which code snippet correctly performs both tasks? Select the best answer.
from numpy import unique

A. from collections import Counter
unique_colors = len(unique(colors))
color_counts = Counter(colors)
import numpy as np
B. from collections import Counter
unique_colors = len(set(colors))
color_counts = np.unique(colors)
C. from collections import Counter
unique_colors = np.unique(colors)
color_counts = Counter(set(colors))
import numpy as np
D. from collections import Counter
unique_colors = Counter(colors)
color_counts = sum(np.unique(colors))
import numpy as np

Answer: A

Explanation:
numpy.unique returns the distinct values in the list, and taking its length gives the number of unique colors. Counter(colors) correctly counts how many times each color appears in the responses.

NEW QUESTION # 12
You have collected sales data and want to compute the average using the NumPy library.
Which option correctly shows how to install NumPy and use it in your code to perform this task?

A. To install NumPy:
pip install numpy
Then run this code:
import numpy as np
data = numpy.arr([10, 20, 30])
print(numpy.mean(data))
B. To install NumPy:
pip install numpy as np
Then run this code:
import np
data = np.array([10, 20, 30])
print(np.mean(data))
C. To install NumPy:
from pip install numpy
Then run this code:
import numpy as np
data = np.array([10, 20, 30])
print(np.mean(data))

Answer: C

Explanation:
NumPy is installed with pip install numpy, then imported with import numpy as np. After that, you can create an array and compute the mean using np.array(...) and np.mean(...).

NEW QUESTION # 13
A script defines a variable x = None and checks its truth value using a conditional statement. The developer wants to understand how Python evaluates None in Boolean contexts. What will bool(x) return?

A. False
B. True
C. None
D. Error

Answer: A

Explanation:
The value None represents the absence of a value and is treated as False in Boolean expressions. Therefore, calling bool(None) returns False, similar to empty containers or zero values.

NEW QUESTION # 14
An e-commerce site records every product view and purchase.
Which of the following best describes how these logs become marketing insights?

A. Raw event logs are structured, analyzed, and interpreted into information - like conversion rates by product - which then builds knowledge of customer preferences.
B. Raw event logs are validated, organized, and compiled into datasets - like timestamped user actions - which then support system debugging.
C. Raw event logs are stored, archived, and indexed - like by user ID and session - which then facilitate audit trails.
D. Raw event logs are filtered, aggregated, and formatted into summaries - like total visits per category - which then provide traffic reports.

Answer: A

Explanation:
Marketing insights are produced when raw event logs are structured, analyzed, and interpreted to generate meaningful metrics such as conversion rates. These interpreted results transform data into actionable knowledge about customer behavior and preferences.

NEW QUESTION # 15
A loop includes a break statement when a condition is met. The programmer wants to understand how break affects loop execution. What happens when break is executed inside the loop?

A. Loop ends immediately
B. Error
C. Skips one iteration
D. Loop restarts

Answer: A

Explanation:
The break statement immediately terminates the loop, regardless of remaining iterations. Control is transferred to the first statement following the loop block.

NEW QUESTION # 16
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