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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: Basic Statistics for Data Analysis	- Descriptive statistics 1. Variance and standard deviation 2. Mean, median, mode
Topic 3: 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 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 (Q20-Q25):

NEW QUESTION # 20
A financial technology company is reviewing its data practices to ensure legal and ethical compliance.
Which of the following actions would support responsible data handling and align with regulations like GDPR, HIPAA, and CCPA? (Choose two.)

A. Limiting data access only to marketing staff to streamline personalization.
B. Implementing encryption for both stored and transmitted customer data.
C. Retaining user data permanently unless users explicitly request deletion.
D. Providing users with a clear explanation of how their data is used and obtaining explicit consent.
E. Automatically opting users into data sharing unless they manually change settings.

Answer: B,D

Explanation:
Encrypting stored and transmitted data protects sensitive information from unauthorized access and supports regulatory requirements for data security. Providing clear explanations of data usage and obtaining explicit consent ensures transparency and aligns with core principles of data protection regulations such as lawful processing and user rights.

NEW QUESTION # 21
Which of the following code snippets will output Truefor both printfunctions by correctly identifying the type of each variable and performing valid operations?

Answer: C

Explanation:
Adding an integer and a float produces a float result, so checking that the type of the sum is float evaluates to True. The variable holding 3.0 is a float, so the isinstance check for float also evaluates to True.

NEW QUESTION # 22
You are reading a data.csvfile line by line. To prepare each line for formatting with f-strings, you need to remove extra whitespace and split the values by commas.
Which line should you insert to correctly clean and parse the input?

A. fields = line.strip().split(', ')
B. fields = line.replace(', ', '|').split('|')
C. fields = line.split(', ').trim()
D. fields = line.split().strip(', ')

Answer: A

Explanation:
Stripping removes leading and trailing whitespace from the line, and then splitting on the comma- space delimiter correctly separates the values into a list for further formatting.

NEW QUESTION # 23
A healthcare provider analyzes patient records to determine that appointment cancellations spike during weather alerts and flu season.
What type of analytics is this?

A. Descriptive analytics - it reports appointment numbers across past seasons.
B. Predictive analytics - it uses weather and illness trends to forecast future cancellations.
C. Prescriptive analytics - it automates patient rescheduling based on cancellation patterns.
D. Diagnostic analytics - it identifies reasons behind patterns in patient behavior.

Answer: D

Explanation:
It examines existing data to understand why cancellations increase, identifying underlying causes such as weather alerts and flu season, which characterizes diagnostic analytics.

NEW QUESTION # 24
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: A

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 # 25
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