Data Processing for Grade 9

What is data processing?

• Data processing is only about storing data.

• Data processing is the same as data storage.

• Data processing is the act of collecting, organizing, and analyzing data to derive meaningful information.

• Data processing involves only manual data entry.

Which of the following is a type of data processing: A) Input B) Output C) Both A and B?

• Data Storage

• Data Analysis

• Data Retrieval

• Both A and B

What is the first step in data processing?

• Data visualization

• Data collection

• Data analysis

• Data storage

What is the purpose of data storage in data processing?

• The purpose of data storage in data processing is to retain and organize data for efficient access and retrieval.

• To analyze data without storing it permanently.

• To delete unnecessary data from the system.

• To create backups of data only when needed.

Which software is commonly used for data processing?

• AutoCAD

• Microsoft Word

• Microsoft Excel, Python (with Pandas), SQL, Apache Spark, R

• Adobe Photoshop

What is the difference between raw data and processed data?

• Raw data is always organized; processed data is raw.

• Raw data is unprocessed and original; processed data is analyzed and organized.

• Raw data is analyzed and processed; processed data is original.

• Processed data is the same as raw data; there is no difference.

What does the term 'data analysis' refer to?

• The process of inspecting, cleansing, transforming, and modeling data to discover useful information.

• The method of collecting data for storage purposes.

• A technique for visualizing data in charts and graphs.

• The act of deleting unnecessary data from a database.

What is a database?

• A database is an organized collection of structured data stored electronically.

• A database is a physical storage device for files.

• A database is a programming language for data manipulation.

• A database is a type of software used for web development.

What is the role of algorithms in data processing?

• Algorithms are only used for sorting data.

• Algorithms have no impact on data processing efficiency.

• Algorithms play a crucial role in data processing by providing structured methods for data manipulation and analysis.

• Algorithms are solely responsible for data storage.

Why is data validation important in data processing?

• Data validation is important because it ensures data accuracy and quality, preventing errors in processing.

• Data validation slows down the processing speed significantly.

• Data validation is irrelevant if the data is collected from reliable sources.

• Data validation is only necessary for large datasets.