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

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This Fall Semester 2025 UNISA AIN3701 Automation and Data Analysis assignment offers a fully solved, exam-focused resource aligned with the latest UNISA curriculum. Updated for 2025, it includes comprehensive coverage of automation principles, data acquisition and processing, analytical methods, use of software tools, visualization techniques, and interpretation of results. Presented with clear step-by-step explanations and structured answers, this guide is designed to support thorough revision, confident assignment completion, and effective exam preparation, enabling students to master automation and data analysis concepts and achieve higher academic performance.

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Subido en
18 de diciembre de 2025
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Escrito en
2025/2026
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Fall Semester 2025 UNISA Assignment: AIN3701 Automation and
Data Analysis – Solved Assignment with Step-by-Step Answers,
Key Concepts & Exam-Focused Study Guide (Updated 2025
Edition)
Question 1:
Which of the following is a common programming language used for data analysis?
• A) HTML
• B) Python
• C) CSS
• D) SQL
CORRECT ANSWER: B
Rationale: Python is widely used for data analysis due to its powerful libraries like
Pandas, NumPy, and Matplotlib.


Question 2:
What does ETL stand for in data processing?
• A) Extract, Transform, Load
• B) Evaluate, Test, Load
• C) Extract, Transfer, Log
• D) Evaluate, Transform, Load
CORRECT ANSWER: A
Rationale: ETL is a process in data warehousing that involves extracting data from
different sources, transforming it into a suitable format, and loading it into a target
database.


Question 3:
In automation, what does RPA stand for?
• A) Robotic Process Automation
• B) Reliable Process Automation
• C) Reactive Process Automation
• D) Random Process Automation
CORRECT ANSWER: A
Rationale: RPA stands for Robotic Process Automation, which refers to the use of

,software robots to automate highly repetitive and mundane tasks traditionally
performed by humans.


Question 4:
Which of the following is NOT typically considered a benefit of data visualization?
• A) Improved insights
• B) Increased complexity
• C) Enhanced communication
• D) Faster decision-making
CORRECT ANSWER: B
Rationale: Increased complexity is not a benefit of data visualization; rather, the goal is
to simplify and clarify data for better understanding.


Question 5:
What is the primary purpose of a data warehouse?
• A) To process transactions in real time
• B) To store data for long-term analysis
• C) To facilitate data entry
• D) To design user interfaces
CORRECT ANSWER: B
Rationale: A data warehouse is primarily used for storing data for long-term analysis
and reporting, allowing for complex queries and analysis.
Question 6:
Which of the following tools is widely used for data cleaning?
• A) Tableau
• B) Knime
• C) Google Docs
• D) PowerPoint
CORRECT ANSWER: B
Rationale: Knime is a popular open-source data analytics tool that includes features for
data cleaning.

, Question 7:
In statistical analysis, what does the term "p-value" represent?
• A) Probability value indicating statistical significance
• B) Positive value indicating the mean
• C) Population value
• D) Predictive value
CORRECT ANSWER: A
Rationale: The p-value helps determine the statistical significance of results, indicating
the probability that the observed data occurred by chance.


Question 8:
Which type of chart is best used for showing the distribution of a dataset?
• A) Bar chart
• B) Pie chart
• C) Histogram
• D) Line chart
CORRECT ANSWER: C
Rationale: A histogram is specifically designed to show the distribution of a dataset by
grouping data into bins.


Question 9:
What does machine learning primarily involve?
• A) Manual programming for every outcome
• B) Algorithms allowing computers to learn from data
• C) Data entry by humans
• D) Predicting future trends solely through intuition
CORRECT ANSWER: B
Rationale: Machine learning involves algorithms that allow computers to learn from
and make predictions or decisions based on data.


Question 10:
Which of the following is NOT a type of machine learning?
• A) Supervised learning
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