Data Science HSC Exam

What does data bias in an enterprise system most likely cause?

• Enhanced user satisfaction and engagement.
• Improved decision-making and outcomes.
• Skewed insights and decisions leading to unfair treatment and poor outcomes.
• Increased efficiency in data processing.

Which of the following best describes the purpose of data cleaning in enterprise data science projects?

• To increase the size of the dataset regardless of quality.

• To remove or correct inaccurate, incomplete, or irrelevant data to improve data quality.

• To encrypt data for security purposes.

• To intentionally introduce errors for testing.

What does data bias in an enterprise system most likely cause?

• Enhanced decision-making processes.
• Unfair or incorrect outcomes

• Improved data accuracy and reliability.
• Increased efficiency in resource allocation.

What is a potential consequence of using biased training data in enterprise machine learning models?

• Improved data security.

• Unintended discrimination against certain groups.

• Increased transparency in decision-making.

• Models that produce fair and accurate predictions.

Which of the following best describes the role of data governance in enterprise data science?

• It focuses solely on increasing data storage capacity.

• It ensures data quality, security, and compliance with regulations.

• It eliminates the need for data privacy policies.

• It is only concerned with data visualization techniques.

Which of the following best describes the impact of poor data quality on enterprise decision-making?

• It leads to more accurate and reliable insights.

• It can result in incorrect analyses and misguided business strategies.

• It improves the speed of data processing.

• It has no effect on business outcomes.

Which of the following best describes the role of data ethics in enterprise data science?

• Ensuring that data is collected, stored, and used responsibly and fairly.

• Focusing only on maximizing profits.

• Ignoring the impact of data-driven decisions on individuals.

• Allowing unrestricted access to all enterprise data.

Which of the following is a legal implication of poor data protection in enterprise computing?

• Improved customer satisfaction and trust.
• Legal penalties and fines for non-compliance with data protection regulations.
• Enhanced data accessibility for all users.
• Increased employee morale and productivity.

Which of the following best describes structured data?

• Data that is only used for visual representation.
• Data that is organized in a predefined format, such as databases or spreadsheets.
• Data that is completely unorganized and random.
• Data that is only found in text documents.

What is the main advantage of using big data technologies in enterprise computing?

• They reduce the need for data cleaning.

• They allow for the storage and analysis of vast amounts of data efficiently.

• They make data less accessible to users.

• They increase the risk of data loss.