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Python Institute PCED-30-02 Exam Syllabus Topics:

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

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Python Institute PCED - Certified Entry-Level Data Analyst with Python Sample Questions (Q20-Q25):

NEW QUESTION # 20
Which task is traditionally or typically performed by a data analyst, and not by a data scientist or analytics specialist? Select the best answer.

A. Recommending pricing strategies using predictive modeling and A/B testing.
B. Creating summary tables and charts to describe patterns in historical data.
C. Designing a data pipeline to ingest and process real-time sensor data.
D. Developing machine learning algorithms to predict user behavior.

Answer: B

Explanation:
Creating summary tables and charts to describe patterns in historical data is a core responsibility of a data analyst, focusing on descriptive analytics and reporting rather than building predictive models, machine learning systems, or engineering data pipelines.

NEW QUESTION # 21
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:
from pip install numpy
Then run this code:
import numpy as np
data = np.array([10, 20, 30])
print(np.mean(data))
B. To install NumPy:
pip install numpy
Then run this code:
import numpy as np
data = numpy.arr([10, 20, 30])
print(numpy.mean(data))
C. To install NumPy:
pip install numpy as np
Then run this code:
import np
data = np.array([10, 20, 30])
print(np.mean(data))

Answer: A

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 # 22
You are given a short Python script that uses both arithmetic and assignment operators. The variable x is initialized as 4, then updated using x *= 2 + 3. What will be printed when the final value of x is displayed?

A. 0
B. 1
C. 2
D. 3

Answer: A

Explanation:
Python evaluates the addition first because of operator precedence. The expression 2 + 3 equals
5, then x *= 5 multiplies the current value of x (4) by 5, resulting in a final value of 20.

NEW QUESTION # 23
A program compares two values using == and is. The variables a = 256 and b = 256 are defined.
What is the expected result of a is b in most Python implementations?

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

Answer: A

Explanation:
Python caches small integers for efficiency. Since 256 is typically within the cached range, both variables reference the same object in memory, making a is b evaluate to True.

NEW QUESTION # 24
A program uses slicing on a string "Python". The expression s[1:4] is evaluated. Which substring will be returned?

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

Answer: D

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 # 25
......

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