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Understanding Data Types and Sources

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Questions and Answers

What type of data remains constant and does not change over time?

Dynamic data

Temporary data

Ephemeral data

Static data (correct)

Which aspect is most crucial when dealing with data according to the document?

Timing of data entry

The volume of data

Context of the data (correct)

Location of data storage

What is a characteristic of dynamic data?

It requires manual updates at regular intervals.

It is often archived and rarely accessed.

It is only sourced from physical databases.

It frequently changes based on new inputs. (correct)

Which of the following is considered a data source mentioned in the document?

<p>Photo banks</p> Signup and view all the answers

What is likely a task related to data handling mentioned in the document?

<p>Checking or verifying data accuracy</p> Signup and view all the answers

Study Notes

Data Types

Static data is often linked to other pages or web resources.
Dynamic data changes over time through updates to pages or the addition of new information.

Dynamic Data

Dynamic data can be updated or refreshed through processes like web page updates or adding new photos or information to databases.

Data Sources

Web-based resources, such as https://uza.uz, can be sources of dynamic data.
Photo banks are also mentioned as sources for dynamic data.

Context

Contextual information is essential for understanding data.
The document emphasizes the importance of knowing the source and nature of data.

Tasks

The document suggests a task related to checking or verifying data.

Questions

The questions focus on clarifying how the company uses data.
The questions also seek to understand the specifics of how data changes.
The questions address the knowledge base behind the data, including its source and reliability.

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Description

This quiz explores the fundamentals of static and dynamic data, highlighting their characteristics and importance. Participants will also examine various sources of dynamic data and the context necessary for proper data interpretation. Expect questions focused on the application of data and its reliability.