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
What is the primary purpose of automation in data analysis?
• A) To eliminate human oversight
• B) To enhance efficiency and accuracy
• C) To increase data redundancy
• D) To complicate data processes
CORRECT ANSWER: B
Rationale: Automation in data analysis is primarily aimed at enhancing efficiency and
accuracy by reducing the time taken for data processing and minimizing human error.
Question 2
Which of the following tools is commonly used for data visualization?
• A) Microsoft Word
• B) Tableau
• C) MySQL
• D) Notepad
CORRECT ANSWER: B
Rationale: Tableau is a powerful tool specifically designed for creating interactive data
visualizations and dashboards.
Question 3
In the context of machine learning, what does the term "overfitting" refer to?
• A) A model that performs well on training data but poorly on unseen data
• B) A model that performs well on both training and validation data
• C) A model with too few parameters
• D) A model that cannot learn from data
CORRECT ANSWER: A
Rationale: Overfitting occurs when a machine learning model is too complex, capturing
noise instead of the underlying data pattern, which leads to poor performance on new,
unseen data.
,Question 4
Which programming language is widely used for data analysis?
• A) HTML
• B) Python
• C) Java
• D) PHP
CORRECT ANSWER: B
Rationale: Python is extensively used in data analysis due to its rich libraries like
Pandas, NumPy, and Matplotlib, which facilitate data manipulation and analysis.
Question 5
What method is used to ensure data integrity during the analysis process?
• A) Manual data entry
• B) Data validation checks
• C) Random sampling
• D) Data replication
CORRECT ANSWER: B
Rationale: Data validation checks are fundamental to ensuring that the data used in
analysis is correct and reliable, thus maintaining data integrity.
Question 6
Which of the following best describes "Big Data"?
• A) Data stored in large databases
• B) Data that is structured only
• C) Extremely large data sets that may be analyzed computationally
• D) Data that cannot be stored in relational databases
CORRECT ANSWER: C
Rationale: Big Data refers to large and complex data sets that require advanced
computational tools for processing and analysis.
, Question 7
What does "ETL" stand for in data processing?
• A) Extracting, Translating, and Loading
• B) Extracting, Transforming, and Loading
• C) Extracting, Testing, and Loading
• D) Evaluating, Transforming, and Loading
CORRECT ANSWER: B
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 or database.
Question 8
Which statistical method is used to predict future trends based on historical data?
• A) Descriptive Statistics
• B) Inferential Statistics
• C) Time Series Analysis
• D) Correlation Analysis
CORRECT ANSWER: C
Rationale: Time Series Analysis involves techniques for analyzing time-ordered data
points to forecast future values based on historical trends.
Question 9
What is the function of a data warehouse?
• A) To perform real-time data processing
• B) To analyze unstructured data
• C) To store and manage large amounts of consolidated data
• D) To prevent data loss
CORRECT ANSWER: C
Rationale: A data warehouse consolidates data from multiple sources, ensuring that it
is stored and managed efficiently for analysis and reporting.
Question 10
Data Analysis – Complete Solved Assignment with Step-by-Step
Answers and Exam-Focused Study Guide (Updated 2025 Edition)
Question 1
What is the primary purpose of automation in data analysis?
• A) To eliminate human oversight
• B) To enhance efficiency and accuracy
• C) To increase data redundancy
• D) To complicate data processes
CORRECT ANSWER: B
Rationale: Automation in data analysis is primarily aimed at enhancing efficiency and
accuracy by reducing the time taken for data processing and minimizing human error.
Question 2
Which of the following tools is commonly used for data visualization?
• A) Microsoft Word
• B) Tableau
• C) MySQL
• D) Notepad
CORRECT ANSWER: B
Rationale: Tableau is a powerful tool specifically designed for creating interactive data
visualizations and dashboards.
Question 3
In the context of machine learning, what does the term "overfitting" refer to?
• A) A model that performs well on training data but poorly on unseen data
• B) A model that performs well on both training and validation data
• C) A model with too few parameters
• D) A model that cannot learn from data
CORRECT ANSWER: A
Rationale: Overfitting occurs when a machine learning model is too complex, capturing
noise instead of the underlying data pattern, which leads to poor performance on new,
unseen data.
,Question 4
Which programming language is widely used for data analysis?
• A) HTML
• B) Python
• C) Java
• D) PHP
CORRECT ANSWER: B
Rationale: Python is extensively used in data analysis due to its rich libraries like
Pandas, NumPy, and Matplotlib, which facilitate data manipulation and analysis.
Question 5
What method is used to ensure data integrity during the analysis process?
• A) Manual data entry
• B) Data validation checks
• C) Random sampling
• D) Data replication
CORRECT ANSWER: B
Rationale: Data validation checks are fundamental to ensuring that the data used in
analysis is correct and reliable, thus maintaining data integrity.
Question 6
Which of the following best describes "Big Data"?
• A) Data stored in large databases
• B) Data that is structured only
• C) Extremely large data sets that may be analyzed computationally
• D) Data that cannot be stored in relational databases
CORRECT ANSWER: C
Rationale: Big Data refers to large and complex data sets that require advanced
computational tools for processing and analysis.
, Question 7
What does "ETL" stand for in data processing?
• A) Extracting, Translating, and Loading
• B) Extracting, Transforming, and Loading
• C) Extracting, Testing, and Loading
• D) Evaluating, Transforming, and Loading
CORRECT ANSWER: B
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 or database.
Question 8
Which statistical method is used to predict future trends based on historical data?
• A) Descriptive Statistics
• B) Inferential Statistics
• C) Time Series Analysis
• D) Correlation Analysis
CORRECT ANSWER: C
Rationale: Time Series Analysis involves techniques for analyzing time-ordered data
points to forecast future values based on historical trends.
Question 9
What is the function of a data warehouse?
• A) To perform real-time data processing
• B) To analyze unstructured data
• C) To store and manage large amounts of consolidated data
• D) To prevent data loss
CORRECT ANSWER: C
Rationale: A data warehouse consolidates data from multiple sources, ensuring that it
is stored and managed efficiently for analysis and reporting.
Question 10
