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Trivia Flashcards

7 cards from real MIS practice questions. Tap to flip, then mark Knew It or Still Learning โ€” missed cards come back until you master them.

Read the first 7 Trivia flashcards as text
  1. What is 'business process reengineering' (BPR) in the context of MIS?

    Answer: Radical redesign of core business processes to achieve dramatic improvements

    BPR involves fundamentally rethinking and redesigning business processes from scratch to achieve major performance gains.

  2. In network security, what is a 'DMZ' (Demilitarized Zone)?

    Answer: A segment of a network isolated between the public internet and internal network

    A DMZ is a network perimeter zone that hosts public-facing services while shielding the internal network from direct internet access.

  3. Which type of e-commerce involves transactions between two businesses rather than between a business and a consumer?

    Answer: B2B

    B2B (Business-to-Business) e-commerce refers to online transactions conducted between companies, such as wholesale purchasing.

  4. What is the purpose of 'data normalization' in relational database design?

    Answer: Organizing data to reduce redundancy and improve integrity

    Normalization restructures a database into tables and relationships to minimize data duplication and prevent anomalies.

  5. Which technology uses radio waves to automatically identify and track tags attached to objects?

    Answer: RFID

    RFID (Radio Frequency Identification) uses electromagnetic fields to automatically identify and track tags on objects without line of sight.

  6. In project management for IS, what does a 'Gantt chart' display?

    Answer: Project tasks and their scheduled durations on a timeline

    A Gantt chart is a bar chart that shows project tasks, their durations, and start/end dates on a horizontal timeline.

  7. What is 'data mining' used for in organizational decision-making?

    Answer: Discovering hidden patterns and relationships in large datasets

    Data mining uses statistical and machine learning techniques to uncover patterns, correlations, and insights in large data sets.

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