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Python Institute PCAD-31-02 Exam Syllabus Topics:

Section	Weight	Objectives
Working with Data Using Python Libraries	30%	- NumPy Fundamentals 1. NumPy arrays and operations 2. Vectorized operations 3. Basic statistical functions 4. Array indexing and slicing - Data Visualization 1. Matplotlib basics 2. Customizing plots 3. Seaborn introduction 4. Creating basic charts (line, bar, scatter, histogram) - Pandas Library 1. DataFrame operations (merge, join, concat) 2. Series and DataFrame structures 3. Handling missing data 4. Data selection and filtering 5. GroupBy operations
Python Programming for Data Analysis	30%	- Control Flow and Functions 1. Conditional statements (if, elif, else) 2. Return values and scope 3. Function definitions and parameters 4. Loops (for, while) - File Operations 1. Writing to files 2. Context managers (with statement) 3. Reading from files (text, CSV) - Python Data Types and Structures 1. Lists, tuples, dictionaries, sets 2. Data type conversions 3. Numbers, strings, booleans
Data Analysis Fundamentals	20%	- Data Collection and Preparation 1. Data import/export operations 2. Data cleaning and preprocessing basics 3. Data sources and acquisition methods - Introduction to Data Analysis 1. Types of data (structured, unstructured, semi-structured) 2. Data analysis concepts and terminology 3. Data analysis process lifecycle
Applied Data Analysis Projects	20%	- Data Analysis Workflow 1. Data exploration and cleaning 2. Analysis and modeling 3. Results interpretation and presentation 4. Problem definition - Exploratory Data Analysis (EDA) 1. Pattern identification 2. Descriptive statistics computation 3. Correlation analysis 4. Data distribution analysis

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Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions (Q130-Q135):

NEW QUESTION # 130
Which SQL clause is most appropriate when you need to filter records that meet a specific condition during data retrieval in an analytics pipeline?

A. ORDER BY
B. GROUP BY
C. WHERE
D. HAVING

Answer: C

NEW QUESTION # 131
What is the correct SQL statement to permanently remove a table named customers from a database?

A. DELETE TABLE customers;
B. REMOVE TABLE customers;
C. TRUNCATE TABLE customers;
D. DROP TABLE customers;

Answer: D

NEW QUESTION # 132
What is the main purpose of defining a class when working with complex data structures in a Python-based analysis project?

A. To ensure all values are stored as plain strings
B. To avoid using loops and conditional logic
C. To encapsulate related data and behavior for better organization
D. To define global variables that persist across files

Answer: C

NEW QUESTION # 133
What is a major challenge in aggregating data from multiple sources?
Response:

A. Excessive disk space usage
B. Overfitting in predictive models
C. Duplicate records and format inconsistencies
D. Increased algorithmic complexity

Answer: C

NEW QUESTION # 134
Which best practices help enhance database security when building Python data analysis pipelines?
(Choose two)

A. Construct queries using f-strings for readability
B. Limit database user permissions to only necessary operations
C. Sanitize input by replacing dangerous characters with asterisks
D. Store credentials securely using environment variables

Answer: B,D

NEW QUESTION # 135
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