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Python Institute PCED-30-02 Exam Syllabus Topics:

Section	Objectives
Data Analysis and Visualization	- Data visualization 1. Matplotlib basics 2. Plot interpretation - Data cleaning and preprocessing 1. Data transformation techniques 2. Missing values handling
Data Handling and Processing with Python	- Data manipulation libraries 1. Pandas fundamentals 2. NumPy basics - 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

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Python Institute PCED - Certified Entry-Level Data Analyst with Python Sample Questions (Q51-Q56):

NEW QUESTION # 51
The following chart shows how a student spends 24 hours in a day:

Which statements are most accurate? (Choose two.)

A. Commuting is the second most time-consuming activity.
B. More time is spent commuting than on leisure.
C. Leisure and meals combined equal the time spent at school.
D. School and homework together take up half of the day's time.
E. Leisure accounts for a moderate portion of the student's daily schedule, larger than commuting but smaller than the time spent at school.
F. Sleep and school take up the majority of time in a day.

Answer: E,F

NEW QUESTION # 52
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. None
B. False
C. Error
D. True

Answer: D

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 # 53
You are developing a temperature control module for a laboratory incubator. Your objectives are to:
- generate timestamps every 10 minutes over a 3-hour span (i.e., 0 to 180 minutes), and
- simulate five evenly spaced target temperatures between 35.0°C and 37.0°C for system calibration.
Which code snippet correctly produces both sequences using NumPy? Select the best answer.
import numpy as np

A. timestamps = np.linspace(0, 181, 10)
target_temps = np.arange(35.0, 37.0, 0.5)
import numpy a3 np
B. timestamps = np.arange(0, 180, 10)
target_temps = np.linspace(35.0, 37.0, 4)
import numpy as np
C. timestamps = np.linspace(0, 180, 10)
target_temps = np.arange(35.0, 37.0, 5)
import numpy as np
D. timestamps = np.arange(0, 181, 10)
target_temps = np.linspace(35.0, 37.0, 5)

Answer: D

Explanation:
np.arange(0, 181, 10) generates timestamps from 0 through 180 in 10-minute steps (end is excluded, so using 181 includes 180). np.linspace(35.0, 37.0, 5) generates five evenly spaced temperatures including both 35.0°C and 37.0°C.

NEW QUESTION # 54
You are writing a function to validate battery voltage readings. The rules are:
- If the reading is "MISSING"or None, return "Missing".
- If the value is below 2.5or above 4.2, return "Outlier".
Otherwise, return "Normal".
Which version correctly implements this logic using the most robust conditional and nested structures? Select the best answer.

Answer: A

Explanation:
It first handles the non-numeric cases ("MISSING" and None) in a single condition, preventing invalid comparisons, and then cleanly checks the numeric outlier bounds using an or condition (<
2.5 or > 4.2) before defaulting to "Normal".

NEW QUESTION # 55
You have a list of test scores, where each entry includes a student name and a score. Some students appear more than once. You want to compute the average score for each student and store the results in a dictionary. Here's the partial code block:

Which code correctly replaces the # MISSING CODE comment to calculate the average score for each student? Select the best answer.

Answer: C

Explanation:
It iterates through each record, extracts the name and score, and uses dictionary .get() to accumulate total scores and counts per student safely, initializing missing keys to zero. This correctly enables calculation of each student's average afterward.

NEW QUESTION # 56
......

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