University of California, Berkeley Data Management Class Set 7
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School
University of California, Berkeley *
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Course
140
Subject
Information Systems
Date
Apr 3, 2024
Type
Pages
3
Uploaded by UltraSnowBear26
University of California, Berkeley
Set 7
1. Data Ethics
Short Answer:
●
Define "data ethics" and explain its significance in modern data management
practices.
Essay:
●
Analyze a real-world scenario where ethical data management practices were not
followed. Discuss the consequences and outline the steps that could have been
taken to prevent ethical breaches.
2. Internet of Things (IoT) and Data Management
Practical:
●
Considering the IoT architecture, describe how data is collected, stored, and
analyzed. Highlight the challenges of managing data from IoT devices and
propose solutions.
Multiple Choice:
Which of the following is a critical concern when managing data from IoT devices?
A) Data volume
B) Security
C) Privacy
●
D) All of the above
3. Distributed Databases
Short Answer:
●
What advantages do distributed databases offer over centralized databases,
especially in the context of big data?
Essay:
●
Discuss the CAP theorem and its implications for distributed database systems.
Provide examples to illustrate how different systems prioritize consistency,
availability, and partition tolerance.
4. Regulatory Frameworks and Data Management
Multiple Choice:
Which of the following regulatory frameworks focuses primarily on the protection of
personal data within the European Union?
A) GDPR
B) HIPAA
C) CCPA
●
D) SOX
Practical:
●
Outline the key requirements of the GDPR for data management and describe
how a business can ensure compliance.
5. Advances in Data Storage Technologies
Short Answer:
●
Explain how advancements in non-volatile memory express (NVMe) technology
impact data storage and retrieval speeds.
Essay:
●
Evaluate the role of blockchain technology in data management. Discuss its
advantages and limitations, particularly in terms of data integrity, security, and
decentralization.
These questions aim to cover a broad spectrum of topics within the field of data
management, emphasizing the importance of ethical considerations, the impact of
emerging technologies, and the necessity of compliance with legal frameworks. This
approach ensures that students are not only technically proficient but also aware of the
broader societal and ethical implications of data management practices.
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