Practice Challenges In Data Acquisition (5.6) - Data Acquisition

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10 questions

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4 cards from this section. Quick, good the night before a test.
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6 questions · about 4 min · pass mark 70%. Hints available.
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Quiz
4 questions · about 3 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
What is one common issue related to data quality?
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Consider what happens if some data points are missing.
Question 2.
Why is it important to have consent when collecting data?
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Think about data privacy laws you've heard about.
3Question 3.
What is a significant issue related to data acquisition?
- Data Quality
- Data Size
- Data Medium
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Think about how the quality of data can lead to better outcomes.
4Question 4.
True or False: Ethical issues are irrelevant to data acquisition.
- True
- False
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What happens if you don't consider ethics in data gathering?
Question 5.
How would you approach building an AI model in a situation where the only available data is of questionable quality?
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What steps can you take to improve data before using it?
Question 6.
Propose a comprehensive plan to address access limitations when seeking data for your AI project.
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Consider alternatives to paid datasets that might provide similar value.

6 more questions in this section. Enroll free to practise them all.