Practice Data Compression And Indexing (6.5.3) - Geographical Information System (GIS)

Practice: Data Compression and Indexing

Lesson 6.5.3Geographical Information System (GIS)

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10 questions

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6 questions · about 4 min · pass mark 70%. Hints available.
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Quiz
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6 sample questions

Question 1.
What is the primary purpose of data compression in GIS?
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Think about why we would want to save space.
Question 2.
Name one type of lossless compression method.
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Consider image formats that maintain quality.
3Question 3.
What is lossless compression?
- Data that cannot be reconstructed
- Data compressed without any loss
- Data that is too big to manage
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Think about how we can retrieve the original file.
4Question 4.
True or False: Lossy compression retains all original data.
- True
- False
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Consider what happens when we prioritize size.
Question 5.
You are tasked with improving data storage for a city’s GIS system. Discuss how you would approach the implementation of lossless compression techniques while ensuring data integrity.
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Consider formats that maintain quality and what kinds of data you're working with.
Question 6.
Explain how the use of R-trees can optimize the querying process for a GIS application that displays parks and recreational areas.
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Think about how data overlaps and pathways to access it quickly.

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