Data Processing

Answers and Descriptions:

1. Answer: Data gathering, validation, processing, output, and storage.
   Description: These steps outline how raw data is transformed into useful information, from collecting data to storing results. Mastering these steps equips students to analyze how ICT systems handle data efficiently and accurately.
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2. Answer: A range check ensures data falls within a specified acceptable range.
   Description: For example, a range check for an age field might reject values below 0 or above 120. This method prevents errors in data processing, a critical skill for students to ensure data quality in ICT applications.

3. Answer: Barcode reader.
   Description: Barcode readers scan product codes to collect data quickly and accurately, used in retail or inventory systems. Recognizing such tools helps students understand automation’s role in improving data collection efficiency in ICT.

4. Answer: Real-time processing enables instant order updates, personalized recommendations, and quick issue resolution, enhancing customer satisfaction.
   Description: For example, real-time inventory checks prevent overselling, and chatbots use real-time data to assist customers. This question encourages students to explore how data processing methods impact user experience in ICT systems.

5. Answer: Removing obsolete data frees storage space, improves system performance, and enhances data security by reducing risks of outdated information exposure.
   Description: Obsolete data can clutter databases, slowing down queries and increasing storage costs. Secure deletion also mitigates privacy risks, such as data breaches involving old records. This analysis helps students evaluate the practical implications of the data lifecycle in real-world ICT systems.