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Python Institute PCED-30-02 Exam Syllabus Topics:

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

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Python Institute PCED - Certified Entry-Level Data Analyst with Python Sample Questions (Q30-Q35):

NEW QUESTION # 30
You are given two lists representing daily page views and sign-ups on a website:
views = [120, 130, 128, 700, 115, 123, 119, 680, 122]
signups = [12, 15, 13, 50, 11, 14, 10, 55, 13]
You want to:
- remove outliers (views > 600), and
- calculate correlation between the cleaned lists.
Which code accomplishes this correctly? Select the best answer.

Answer: B

Explanation:
It converts the lists to NumPy arrays, builds a boolean mask based on the views threshold to remove outliers, applies the same mask to both arrays so they stay aligned, and then computes the correlation on the cleaned pairs using np.corrcoef.

NEW QUESTION # 31
A program uses slicing on a string "Python". The expression s[1:4] is evaluated. Which substring will be returned?

A. tho
B. yth
C. ytho
D. ythn

Answer: B

Explanation:
Slicing includes the start index but excludes the end index. Characters at indices 1, 2, and 3 are selected, producing the substring "yth".

NEW QUESTION # 32
You are given the following list of daily step counts:
steps = [8230, 9020, 7640, 8760, 10020, 2546, 9817]
Your task is to calculate:
- the standard deviation of the step counts,
- the average rounded up to the nearest whole number, and
- the median of the step counts.
Which code snippet correctly performs all three tasks? Select the best answer.
import statistics

A. import math
print(statistics.stdev(steps))
print(round(math.mean(steps)))
print(math.median(steps))
import statistics
B. import math
print(statistics.variance(steps))
print(math.ceil(sum(steps) / len(steps)))
print(math.floor(statistics.median(steps)))
import statistics
C. import math
print(statistics.stdev(steps))
print(math.ceil(statistics.mean(steps)))
print(statistics.median(steps))
D. import math
print(math.stdev(steps))
print(statistics.mean(steps))
print(statistics.median(steps))
import statistics

Answer: C

Explanation:
It uses statistics.stdev() to compute the standard deviation, statistics.mean() to compute the average and math.ceil() to round it up to the nearest whole number, and statistics.median() to compute the median.

NEW QUESTION # 33
An online retailer collects customer reviews, order transaction logs, and product ratings.
Which of the following correctly classifies these types of data? Select the best answer.

A. Product ratings are qualitative and structured; customer reviews are qualitative and unstructured; transaction logs are quantitative and semi-structured.
B. Product ratings are quantitative and unstructured; customer reviews are structured and qualitative; transaction logs are quantitative and unstructured.
C. Product ratings are qualitative and unstructured; customer reviews are quantitative and structured; transaction logs are semi-structured and qualitative.
D. Product ratings are quantitative and structured; customer reviews are qualitative and unstructured; transaction logs are structured and quantitative

Answer: D

Explanation:
Product ratings are numeric values stored in fixed fields, making them quantitative and structured.
Customer reviews are free-text responses, which are qualitative and unstructured. Transaction logs consist of organized records with defined fields such as order ID, date, and amount, making them structured and quantitative.

NEW QUESTION # 34
A list is reversed using slicing: lst[::-1]. The programmer wants to confirm whether this modifies the original list or creates a new one. What is the correct behavior?

A. Returns None
B. Creates new list
C. Error
D. Modifies original

Answer: B

Explanation:
Slicing creates a new list object rather than modifying the original. The expression lst[::-1] returns a reversed copy, leaving the original list unchanged.

NEW QUESTION # 35
......

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