1
SYE 6501 - PRACTICE EXAM 2026/2027 |
EXAM PREP | 150 VERIFIED Q&A | DETAILED
RATIONALES | NGN-ALIGNED | PASS
GUARANTEED – A+ GRADED
SECTION I: ANALYTICS FOUNDATIONS AND DATA - Questions 1-15
Q1: Descriptive analytics
The student is reviewing analytics types. Which type of analytics answers "What happened?"
A. Descriptive
B. Predictive
C. Prescriptive
D. Diagnostic
Correct Answer: A
Rationale: Descriptive analytics summarizes historical data to answer "What happened?" Predictive
forecasts future outcomes. Prescriptive recommends actions. Diagnostic explains causes. [100%
CORRECT]
Q2: Predictive analytics
The student is reviewing predictive analytics. What is its primary goal?
A. Describe past events
B. Forecast future outcomes
C. Recommend actions
D. Explain causes
Correct Answer: B
Rationale: Predictive analytics uses historical data and statistical models to forecast future outcomes
or identify trends. It answers "What will happen?" [100% CORRECT]
Q3: Prescriptive analytics
The student is reviewing prescriptive analytics. What is its primary goal?
A. Describe past events
B. Forecast future outcomes
C. Recommend actions to achieve desired outcomes
D. Explain causes
,2
Correct Answer: C
Rationale: Prescriptive analytics recommends actions to achieve desired outcomes using
optimization and simulation. It answers "What should we do?" [100% CORRECT]
Q4: Quantitative variable
The student is reviewing data types. Which is a quantitative variable?
A. Gender
B. Eye color
C. Height
D. Marital status
Correct Answer: C
Rationale: Height is a quantitative (numerical) variable. Gender, eye color, and marital status are
qualitative (categorical). [100% CORRECT]
Q5: Discrete variable
The student is reviewing variable types. Which is a discrete variable?
A. Weight
B. Number of children
C. Temperature
D. Time
Correct Answer: B
Rationale: A discrete variable takes countable values (e.g., number of children). Continuous
variables can take any value within a range. [100% CORRECT]
Q6: Data cleaning
The student is reviewing data cleaning. What is its purpose?
A. Increase data volume
B. Identify and correct errors, inconsistencies, missing values
C. Delete all data
D. Visualize data
Correct Answer: B
Rationale: Data cleaning identifies and corrects errors, inconsistencies, missing values, and outliers
to improve data quality for analysis. [100% CORRECT]
Q7: Missing data
The student is reviewing missing data. Which method handles missing data?
A. Deletion
B. Imputation
,3
C. Both A and B
D. None
Correct Answer: C
Rationale: Missing data can be handled by deletion (removing rows/columns) or imputation
(replacing with estimated values like mean, median, or regression-based). [100% CORRECT]
Q8: Outlier
The student is reviewing outliers. What is an outlier?
A. Typical data point
B. Unusually distant observation
C. Missing value
D. Categorical variable
Correct Answer: B
Rationale: An outlier is an observation that lies an abnormal distance from other values. It can affect
analyses and may need investigation or treatment. [100% CORRECT]
Q9: Histogram
The student is reviewing visualization. Which chart shows distribution of a single continuous
variable?
A. Bar chart
B. Histogram
C. Pie chart
D. Scatter plot
Correct Answer: B
Rationale: A histogram shows distribution of a continuous variable by dividing data into bins and
plotting frequencies. Bar charts are for categorical data. [100% CORRECT]
Q10: Scatter plot
The student is reviewing visualization. What is a scatter plot used for?
A. Show relationship between two continuous variables
B. Show distribution of one variable
C. Show parts of a whole
D. Show trend over time
Correct Answer: A
Rationale: A scatter plot displays the relationship between two continuous variables, helping
identify correlation or patterns. [100% CORRECT]
Q11: Box plot
The student is reviewing visualization. What does a box plot display?
, 4
A. Median, quartiles, and outliers
B. Mean only
C. Frequency distribution
D. Correlation
Correct Answer: A
Rationale: A box plot shows the median, first and third quartiles, and potential outliers. It is useful
for comparing distributions. [100% CORRECT]
Q12: Data transformation
The student is reviewing data transformation. Why is log transformation used?
A. To reduce skewness and stabilize variance
B. To increase skewness
C. To remove outliers
D. To increase variance
Correct Answer: A
Rationale: Log transformation is used to reduce right skewness and stabilize variance, making data
more suitable for linear modeling. [100% CORRECT]
Q13: Standardization
The student is reviewing feature scaling. What is standardization?
A. Subtracting mean and dividing by standard deviation
B. Subtracting minimum and dividing by range
C. Multiplying by a constant
D. Adding a constant
Correct Answer: A
Rationale: Standardization (z-score normalization) transforms data to have mean 0 and standard
deviation 1. It is useful when variables have different scales. [100% CORRECT]
Q14: Normalization
The student is reviewing feature scaling. What is min-max normalization?
A. (x - min) / (max - min)
B. (x - mean) / std
C. x / max
D. x - min
Correct Answer: A
Rationale: Min-max normalization scales data to a fixed range, usually [0, 1], using (x - min) / (max -
min). [100% CORRECT]
SYE 6501 - PRACTICE EXAM 2026/2027 |
EXAM PREP | 150 VERIFIED Q&A | DETAILED
RATIONALES | NGN-ALIGNED | PASS
GUARANTEED – A+ GRADED
SECTION I: ANALYTICS FOUNDATIONS AND DATA - Questions 1-15
Q1: Descriptive analytics
The student is reviewing analytics types. Which type of analytics answers "What happened?"
A. Descriptive
B. Predictive
C. Prescriptive
D. Diagnostic
Correct Answer: A
Rationale: Descriptive analytics summarizes historical data to answer "What happened?" Predictive
forecasts future outcomes. Prescriptive recommends actions. Diagnostic explains causes. [100%
CORRECT]
Q2: Predictive analytics
The student is reviewing predictive analytics. What is its primary goal?
A. Describe past events
B. Forecast future outcomes
C. Recommend actions
D. Explain causes
Correct Answer: B
Rationale: Predictive analytics uses historical data and statistical models to forecast future outcomes
or identify trends. It answers "What will happen?" [100% CORRECT]
Q3: Prescriptive analytics
The student is reviewing prescriptive analytics. What is its primary goal?
A. Describe past events
B. Forecast future outcomes
C. Recommend actions to achieve desired outcomes
D. Explain causes
,2
Correct Answer: C
Rationale: Prescriptive analytics recommends actions to achieve desired outcomes using
optimization and simulation. It answers "What should we do?" [100% CORRECT]
Q4: Quantitative variable
The student is reviewing data types. Which is a quantitative variable?
A. Gender
B. Eye color
C. Height
D. Marital status
Correct Answer: C
Rationale: Height is a quantitative (numerical) variable. Gender, eye color, and marital status are
qualitative (categorical). [100% CORRECT]
Q5: Discrete variable
The student is reviewing variable types. Which is a discrete variable?
A. Weight
B. Number of children
C. Temperature
D. Time
Correct Answer: B
Rationale: A discrete variable takes countable values (e.g., number of children). Continuous
variables can take any value within a range. [100% CORRECT]
Q6: Data cleaning
The student is reviewing data cleaning. What is its purpose?
A. Increase data volume
B. Identify and correct errors, inconsistencies, missing values
C. Delete all data
D. Visualize data
Correct Answer: B
Rationale: Data cleaning identifies and corrects errors, inconsistencies, missing values, and outliers
to improve data quality for analysis. [100% CORRECT]
Q7: Missing data
The student is reviewing missing data. Which method handles missing data?
A. Deletion
B. Imputation
,3
C. Both A and B
D. None
Correct Answer: C
Rationale: Missing data can be handled by deletion (removing rows/columns) or imputation
(replacing with estimated values like mean, median, or regression-based). [100% CORRECT]
Q8: Outlier
The student is reviewing outliers. What is an outlier?
A. Typical data point
B. Unusually distant observation
C. Missing value
D. Categorical variable
Correct Answer: B
Rationale: An outlier is an observation that lies an abnormal distance from other values. It can affect
analyses and may need investigation or treatment. [100% CORRECT]
Q9: Histogram
The student is reviewing visualization. Which chart shows distribution of a single continuous
variable?
A. Bar chart
B. Histogram
C. Pie chart
D. Scatter plot
Correct Answer: B
Rationale: A histogram shows distribution of a continuous variable by dividing data into bins and
plotting frequencies. Bar charts are for categorical data. [100% CORRECT]
Q10: Scatter plot
The student is reviewing visualization. What is a scatter plot used for?
A. Show relationship between two continuous variables
B. Show distribution of one variable
C. Show parts of a whole
D. Show trend over time
Correct Answer: A
Rationale: A scatter plot displays the relationship between two continuous variables, helping
identify correlation or patterns. [100% CORRECT]
Q11: Box plot
The student is reviewing visualization. What does a box plot display?
, 4
A. Median, quartiles, and outliers
B. Mean only
C. Frequency distribution
D. Correlation
Correct Answer: A
Rationale: A box plot shows the median, first and third quartiles, and potential outliers. It is useful
for comparing distributions. [100% CORRECT]
Q12: Data transformation
The student is reviewing data transformation. Why is log transformation used?
A. To reduce skewness and stabilize variance
B. To increase skewness
C. To remove outliers
D. To increase variance
Correct Answer: A
Rationale: Log transformation is used to reduce right skewness and stabilize variance, making data
more suitable for linear modeling. [100% CORRECT]
Q13: Standardization
The student is reviewing feature scaling. What is standardization?
A. Subtracting mean and dividing by standard deviation
B. Subtracting minimum and dividing by range
C. Multiplying by a constant
D. Adding a constant
Correct Answer: A
Rationale: Standardization (z-score normalization) transforms data to have mean 0 and standard
deviation 1. It is useful when variables have different scales. [100% CORRECT]
Q14: Normalization
The student is reviewing feature scaling. What is min-max normalization?
A. (x - min) / (max - min)
B. (x - mean) / std
C. x / max
D. x - min
Correct Answer: A
Rationale: Min-max normalization scales data to a fixed range, usually [0, 1], using (x - min) / (max -
min). [100% CORRECT]
