MASTERING DATA SCIENCE ETHICS: SNHU DAT 250
EXAM 2025 – 160 ANSWERED QUESTIONS
Comprehensive Study Guide with Expert Answers, Key Concepts, and
Strategies for Success
Study Guide Overview:
Course Focus:
DAT 250 delves into the ethical considerations in data science, emphasizing data governance, privacy, and the
societal impact of data-driven decisions.
Key Topics to Master:
• Data Governance and Compliance: Understand the principles of data management and the importance
of compliance audits in ethical data handling.
• Ethical Frameworks: Familiarize yourself with frameworks like the DAMA Guide's 15 principles for
data security management.
• Privacy Laws and Regulations: Study the implications of laws such as GDPR and how they affect data
collection and usage.
• Case Studies: Analyze real-world scenarios to understand the application of ethical principles in data
science.
Study Strategies:
• Flashcards: Utilize platforms like Quizlet to reinforce key terms and concepts.
• Practice Questions: Review the 160 answered questions to identify patterns and commonly tested topics.
• Discussion Participation: Engage in course discussions to deepen understanding and gain diverse
perspectives.
• Supplementary Resources: Explore additional materials such as the DAMA Guide and relevant case
studies to broaden your knowledge base.
,QUESTIONS AND ANSWERS
1. What is the primary focus of rule utilitarianism in ethical decision-making?
The consequences of the action.
The intentions behind the action.
The rights of individuals affected by the action.
The adherence to absolute moral laws.
2. How do negative rights differ from positive rights in terms of obligations?
Negative rights require others to abstain from interfering with
individual liberties, while positive rights require others to
provide certain benefits.
Negative rights are only applicable in democratic societies, while
positive rights are universal.
Negative rights are always prioritized over positive rights in legal
systems.
Negative rights are seen as entitlements, while positive rights are
seen as liberties.
3. What type of data is characterized by organized rows and columns, as
seen in an Excel spreadsheet?
Semi-structured
Structured
Raw
Unstructured
4. What is a primary reason businesses prefer opt-out consent models?
Higher user engagement
, Lower costs
Better customer relationships
Increased data accuracy
5. Describe how secondary use of data can impact ethical considerations in
data science.
Secondary use of data is limited to structured data only.
Secondary use of data is always beneficial for research.
Secondary use of data can raise ethical concerns regarding
consent and privacy.
Secondary use of data does not require any ethical
considerations.
6. Artificial Intelligence is the ability of computers to mimic or duplicate the
functions of the human brain. Some of the specific characteristics of
intelligent behavior include the ability to
A: handle complex situations
E: only A and C
C: be creative and imaginative
B: solve problems when important information is missing
D: all of the above
7. What is the primary purpose of data visualization?
To store data in a structured format.
To collect data from various sources.
To analyze data using statistical methods.
To communicate findings with key stakeholders using plots and
interactive visualizations.
, 8. Freedom of speech:
does not apply to symbolic speech
exists to solely protect orthodox ideas
Is absolute
is not absolute
9. What is the main purpose of collaborative filtering in data science?
To ensure ethical data sharing practices.
To predict what one person may prefer based on the
preferences of large numbers of people.
To analyze structured data for statistical insights.
To visualize data trends over time.
10. Describe how an IT manager supports data science teams in their
operations.
An IT manager primarily focuses on data analysis and
visualization tasks.
An IT manager supports data science teams by building and
updating IT environments and monitoring operations and
resource usage.
An IT manager is responsible for creating machine learning
models.
An IT manager ensures that data is collected without any ethical
considerations.
11. Consider a scenario where a government decides to ban certain types of
online speech. Based on the principles discussed, under what condition
could this ban be considered justified?
If the ban is popular among citizens
EXAM 2025 – 160 ANSWERED QUESTIONS
Comprehensive Study Guide with Expert Answers, Key Concepts, and
Strategies for Success
Study Guide Overview:
Course Focus:
DAT 250 delves into the ethical considerations in data science, emphasizing data governance, privacy, and the
societal impact of data-driven decisions.
Key Topics to Master:
• Data Governance and Compliance: Understand the principles of data management and the importance
of compliance audits in ethical data handling.
• Ethical Frameworks: Familiarize yourself with frameworks like the DAMA Guide's 15 principles for
data security management.
• Privacy Laws and Regulations: Study the implications of laws such as GDPR and how they affect data
collection and usage.
• Case Studies: Analyze real-world scenarios to understand the application of ethical principles in data
science.
Study Strategies:
• Flashcards: Utilize platforms like Quizlet to reinforce key terms and concepts.
• Practice Questions: Review the 160 answered questions to identify patterns and commonly tested topics.
• Discussion Participation: Engage in course discussions to deepen understanding and gain diverse
perspectives.
• Supplementary Resources: Explore additional materials such as the DAMA Guide and relevant case
studies to broaden your knowledge base.
,QUESTIONS AND ANSWERS
1. What is the primary focus of rule utilitarianism in ethical decision-making?
The consequences of the action.
The intentions behind the action.
The rights of individuals affected by the action.
The adherence to absolute moral laws.
2. How do negative rights differ from positive rights in terms of obligations?
Negative rights require others to abstain from interfering with
individual liberties, while positive rights require others to
provide certain benefits.
Negative rights are only applicable in democratic societies, while
positive rights are universal.
Negative rights are always prioritized over positive rights in legal
systems.
Negative rights are seen as entitlements, while positive rights are
seen as liberties.
3. What type of data is characterized by organized rows and columns, as
seen in an Excel spreadsheet?
Semi-structured
Structured
Raw
Unstructured
4. What is a primary reason businesses prefer opt-out consent models?
Higher user engagement
, Lower costs
Better customer relationships
Increased data accuracy
5. Describe how secondary use of data can impact ethical considerations in
data science.
Secondary use of data is limited to structured data only.
Secondary use of data is always beneficial for research.
Secondary use of data can raise ethical concerns regarding
consent and privacy.
Secondary use of data does not require any ethical
considerations.
6. Artificial Intelligence is the ability of computers to mimic or duplicate the
functions of the human brain. Some of the specific characteristics of
intelligent behavior include the ability to
A: handle complex situations
E: only A and C
C: be creative and imaginative
B: solve problems when important information is missing
D: all of the above
7. What is the primary purpose of data visualization?
To store data in a structured format.
To collect data from various sources.
To analyze data using statistical methods.
To communicate findings with key stakeholders using plots and
interactive visualizations.
, 8. Freedom of speech:
does not apply to symbolic speech
exists to solely protect orthodox ideas
Is absolute
is not absolute
9. What is the main purpose of collaborative filtering in data science?
To ensure ethical data sharing practices.
To predict what one person may prefer based on the
preferences of large numbers of people.
To analyze structured data for statistical insights.
To visualize data trends over time.
10. Describe how an IT manager supports data science teams in their
operations.
An IT manager primarily focuses on data analysis and
visualization tasks.
An IT manager supports data science teams by building and
updating IT environments and monitoring operations and
resource usage.
An IT manager is responsible for creating machine learning
models.
An IT manager ensures that data is collected without any ethical
considerations.
11. Consider a scenario where a government decides to ban certain types of
online speech. Based on the principles discussed, under what condition
could this ban be considered justified?
If the ban is popular among citizens
