PCED-30-02 Test Engine Version - PCED-30-02 Reliable Test Syllabus

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Python Institute PCED-30-02 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Introduction to Data and Data Analysis Concepts	22.5%	- Definition and classification of data 1. Process of turning raw data into insights 2. Role of data in decision-making and business 3. Difference between data, information, and knowledge - Data lifecycle and ethical considerations 1. Privacy, security, bias, and fairness in data 2. Data collection, storage, processing, usage, and sharing - Basic statistical concepts 1. Population, sample, variable, observation 2. Descriptive vs inferential statistics - Data types and measurement scales 1. Qualitative vs quantitative data 2. Nominal, ordinal, interval, ratio scales
Topic 2: Python Basics for Data Analysis	32.5%	- Built-in modules for data work 1. math, statistics, datetime, collections, csv - Core Python syntax and data types 1. Variables, numbers, strings, booleans 2. Lists, tuples, sets, dictionaries - Control flow and functions 1. Conditional statements, loops, iteration 2. Basic exception handling 3. Defining and calling functions, parameters, return values - Introduction to NumPy 1. Arrays, basic operations, indexing, slicing
Topic 3: Data Visualization and Communication	20%	- Creating basic visualizations 1. Using text and simple plotting tools 2. Line charts, bar charts, histograms, pie charts - Principles of effective data visualization 1. Clarity, simplicity, and accuracy 2. Choosing appropriate chart types - Interpreting and presenting results 1. Reporting findings clearly and concisely 2. Deriving conclusions and insights
Topic 4: Working with Data and Performing Simple Analysis	25%	- Exploratory data analysis 1. Identifying patterns, trends, and outliers 2. Calculating mean, median, mode, range, variance, standard deviation - Data cleaning and preparation 1. Filtering, sorting, transforming data 2. Handling missing values, duplicates, and errors 3. Formatting and standardizing values - Data acquisition and loading 1. Importing data from external sources 2. Reading text, CSV, and structured files - Data aggregation and grouping 1. Summarizing and grouping datasets

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Python Institute PCED - Certified Entry-Level Data Analyst with Python Sample Questions (Q40-Q45):

NEW QUESTION # 40
A Python script includes the expression not False and True. The developer is unsure how logical operators are evaluated in terms of precedence. What will be the final Boolean result of this expression?

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

Answer: D

Explanation:
The not operator has higher precedence than and, so not False becomes True first. Then True and True is evaluated, resulting in True as the final Boolean value.

NEW QUESTION # 41
Which of the following statements about Python functions are correct? (Choose two.)

A. Functions can only return numeric values or strings.
B. If a function does not contain a returnstatement, it returns Noneby default.
C. A function cannot call itself or be passed as an argument to itself.
D. Positional arguments must be passed in the order defined, while keyword arguments can be passed in any order using their parameter names.
E. Default parameters must always come before required ones in the parameter list.
F. passexecutes the function body and returns its result.

Answer: B,D

Explanation:
Positional arguments are matched to parameters by their position, so they must follow the defined order, while keyword arguments are matched by name and can be provided in any order. If a function completes without an explicit return statement, Python returns None automatically.

NEW QUESTION # 42
Which of the following code snippets will output Truefor both printfunctions by correctly identifying the type of each variable and performing valid operations?

Answer: D

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 # 43
The following chart shows how a student spends 24 hours in a day:

Which statements are most accurate? (Choose two.)

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

Answer: B,D

Explanation:
The largest portions of the chart are sleep and school, and together they clearly make up more than half of the day. Leisure appears as a mid-sized segment that is larger than commuting but smaller than school, fitting the description of a moderate portion.

NEW QUESTION # 44
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. Error
B. None
C. False
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 # 45
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