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Fall Semester 2025 UNISA Assignment: AIN3701 Automation and Data Analysis – Solved Questions 1–40 with Step-by-Step Answers and Exam-Focused Explanations (Updated 2025 Edition)

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This Fall Semester 2025 UNISA AIN3701 Automation and Data Analysis assignment covers fully solved Questions 1–40, aligned with the latest UNISA curriculum. Updated for 2025, it provides clear step-by-step answers and structured explanations on core topics including automation fundamentals, data collection and processing, basic analytical techniques, use of data tools, and interpretation of results. Designed for accurate assignment completion, focused revision, and confident exam preparation, this resource helps students understand key concepts tested in early assessment questions and achieve higher marks.

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Uploaded on
December 18, 2025
Number of pages
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Written in
2025/2026
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Exam (elaborations)
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Fall Semester 2025 UNISA Assignment: AIN3701 Automation and Data
Analysis – Solved Questions 1–40 with Step-by-Step Answers and Exam-
Focused Explanations (Updated 2025 Edition)
Question 1:
What is the primary purpose of automation in data analysis?
• A) To eliminate human error
• B) To slow down processes
• C) To increase manual workloads
• D) To create more data
CORRECT ANSWER: A) To eliminate human error
Rationale: Automation minimizes human intervention, significantly reducing the
likelihood of errors and enhancing efficiency in data processing.


Question 2:
Which of the following tools is commonly used for data visualization?
• A) Microsoft Word
• B) Excel
• C) Visual Studio
• D) Notepad
CORRECT ANSWER: B) Excel
Rationale: Excel is widely recognized for its data visualization capabilities, allowing
users to create charts and graphs easily.


Question 3:
In Python, which library is primarily used for data manipulation and analysis?
• A) TensorFlow
• B) NumPy
• C) pandas
• D) Matplotlib
CORRECT ANSWER: C) pandas
Rationale: The pandas library provides powerful data structures like DataFrames for
effective data manipulation and analysis.

,Fall Semester 2025 UNISA Assignment: AIN3701 Automation and Data
Analysis – Solved Questions 1–40 with Step-by-Step Answers and Exam-
Focused Explanations (Updated 2025 Edition)
Question 4:
What does ETL stand for in data processing?
• A) Extract, Transform, Load
• B) Execute, Test, Launch
• C) Evaluate, Transfer, Load
• D) Extract, Test, Link
CORRECT ANSWER: A) Extract, Transform, Load
Rationale: ETL refers to the process of extracting data from various sources,
transforming it into a suitable format, and loading it into a data warehouse.


Question 5:
Which programming language is known for its use in data science and automation?
• A) Java
• B) C++
• C) Python
• D) Ruby
CORRECT ANSWER: C) Python
Rationale: Python is widely endorsed in the data science community due to its
simplicity and the availability of numerous libraries for data analysis.
Question 6:
Which method is NOT a type of machine learning?
• A) Supervised learning
• B) Unsupervised learning
• C) Reinforcement learning
• D) Collaborative learning
CORRECT ANSWER: D) Collaborative learning
Rationale: Collaborative learning is not a recognized method of machine learning; the
other three are standard categories used in ML.


Question 7:

, Fall Semester 2025 UNISA Assignment: AIN3701 Automation and Data
Analysis – Solved Questions 1–40 with Step-by-Step Answers and Exam-
Focused Explanations (Updated 2025 Edition)
What is the purpose of data normalization?
• A) To increase data redundancy
• B) To reduce data storage
• C) To ensure consistent data scales
• D) To enhance manual processing
CORRECT ANSWER: C) To ensure consistent data scales
Rationale: Normalization standardizes data ranges, facilitating effective analysis and
comparison.


Question 8:
Which of the following is NOT a valid data type in Python?
• A) List
• B) Dictionary
• C) Boolean
• D) Character
CORRECT ANSWER: D) Character
Rationale: Python does not have a separate character datatype; characters are treated
as strings of length one.


Question 9:
In data visualization, what does a histogram represent?
• A) Categorical data
• B) Continuous data distributions
• C) Time series
• D) Hierarchical relationships
CORRECT ANSWER: B) Continuous data distributions
Rationale: Histograms effectively illustrate frequency distributions of continuous data.


Question 10:
What is a common disadvantage of using automation in data analysis?
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