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Fall Semester 2025 UNISA Assignment: AIN3701 Automation and Data Analysis – Complete Solved Assignment with Step-by-Step Answers and Exam-Focused Study Guide (Updated 2025 Edition)

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This Fall Semester 2025 UNISA AIN3701 Automation and Data Analysis assignment provides a fully solved, exam-focused resource aligned with the latest UNISA curriculum. Updated for 2025, it covers essential topics such as automation concepts, data collection and processing, analytical methods, basic scripting and tool usage, and interpretation of data-driven insights. Presented with clear step-by-step answers and structured explanations, this guide is designed to support accurate assignment completion, efficient revision, and confident exam preparation, helping students develop practical automation and data analysis skills and achieve higher marks.

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Fall Semester 2025 UNISA Assignment: AIN3701 Automation and Data
Analysis – Complete Solved Assignment with Step-by-Step Answers and
Exam-Focused Study Guide (Updated 2025 Edition)
Question 1:
Which of the following is an essential skill for a data analyst?
• A) Graphic Design
• B) Data Visualization
• C) Public Speaking
• D) Project Management
CORRECT ANSWER: B
Rationale: Data visualization is critical for data analysts to effectively communicate
data findings and insights.


Question 2:
What is the primary purpose of automation in data analysis?
• A) To increase manual input
• B) To streamline repetitive tasks
• C) To enhance data quality
• D) To reduce team collaboration
CORRECT ANSWER: B
Rationale: Automation aims to reduce repetitive manual tasks, thereby allowing
analysts to focus on more complex analysis.


Question 3:
Which of the following tools is most commonly used for data analysis?
• A) Microsoft Word
• B) Trello
• C) Excel
• D) Photoshop
CORRECT ANSWER: C
Rationale: Excel has robust data analysis features and is widely used in the industry for
data manipulation and visualization.

,Question 4:
In the context of programming, which language is most frequently used for data
analysis?
• A) HTML
• B) Java
• C) Python
• D) C++
CORRECT ANSWER: C
Rationale: Python is extensively used in data analysis due to its simplicity and the
availability of numerous libraries specifically for data manipulation and analysis.


Question 5:
What does ETL stand for in data processing?
• A) Extract, Transform, Load
• B) Evaluate, Test, Learn
• C) Extract, Transform, Load
• D) Encode, Transmit, Log
CORRECT ANSWER: C
Rationale: ETL stands for Extract, Transform, Load, which is a process in data
warehousing.
Question 6:
What does big data primarily refer to?
• A) Small datasets
• B) Structured data only
• C) Extremely large datasets
• D) Data stored in paper form
CORRECT ANSWER: C
Rationale: Big data refers to datasets that are so large or complex that traditional data
processing software cannot adequately manage them.


Question 7:
Which of the following is a method for data cleaning?

, • A) Data Aggregation
• B) Removing duplicates
• C) Data Visualization
• D) Data Encryption
CORRECT ANSWER: B
Rationale: Removing duplicates is a crucial step in data cleaning to ensure accuracy in
analysis.


Question 8:
What is a common use of SQL in data analysis?
• A) Graphic Design
• B) Data Visualization
• C) Querying databases
• D) Programming
CORRECT ANSWER: C
Rationale: SQL (Structured Query Language) is primarily used for querying and
managing data in relational databases.


Question 9:
Which of the following is NOT a type of data visualization?
• A) Bar Chart
• B) Pie Chart
• C) Text Document
• D) Line Graph
CORRECT ANSWER: C
Rationale: A text document is not a form of data visualization; it does not graphically
represent data.


Question 10:
What is the purpose of a data dashboard?
• A) To print reports

, • B) To provide at-a-glance insights
• C) To store data
• D) To conduct interviews
CORRECT ANSWER: B
Rationale: Data dashboards are designed to provide quick insights and key metrics at a
glance, often with visual representations.


Question 11:
Which concept refers to the accuracy and consistency of data?
• A) Data Warehousing
• B) Data Mining
• C) Data Quality
• D) Data Ethics
CORRECT ANSWER: C
Rationale: Data quality addresses the accuracy and reliability of data, which is
essential for effective analysis.


Question 12:
What technique is often used for predictive analytics?
• A) Historical Analysis
• B) Data Entry
• C) Regression Analysis
• D) Manual Counting
CORRECT ANSWER: C
Rationale: Regression analysis is widely used in predictive analytics to model and
analyze the relationships between variables.


Question 13:
Which type of dataset is structured?
• A) JSON files
• B) Tables in a database
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