UNTIS 2 EXAM FINAL Flashcards

1
Q

Verification

A

The process of checking that data entered matches the original source (e.g., proofreading).

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2
Q

Validation

A

Ensuring the reasonableness and completeness of data, using existence, range, and type checks.

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3
Q

Testing

A

Ensuring the solution operates as intended, using test data and testing methods.

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4
Q

Types of Testing

A

Informal Testing: Ongoing testing done while working.
Formal Testing: Pre-planned and documented tests, including testing tables.

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5
Q

Evaluation

A

Determining how well the solution meets the set requirements after implementation.

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6
Q

Evaluation Criteria

A

Measures of efficiency (time, cost, effort) and effectiveness (accessibility, accuracy, usability).

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7
Q

Data Types

A

Binary Data: Data represented as 0s and 1s, used in images and sound.
Boolean Data: True or False data (e.g., Yes/No answers).
Character Data: Letters, numbers, or symbols.
Numeric Data: Includes integers and floating-point numbers.

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8
Q

Design Principles

A

Usability: Flexibility, accessibility, robustness.
Appearance: Contrast, alignment, balance, space, text and table formatting and image use.

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9
Q

Effectiveness

A

Definition: How well a solution achieves its goals, including factors like accuracy, usability, and completeness.

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10
Q

Efficiency

A

How well time, cost, and effort are used to achieve intended results.

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11
Q

Databases - DO IT AT THE END/ EMAIL TO ASK IF THIS ON TEST.

A

Flat File: A database with no links between tables (single table).
Relational Database: A database where tables are linked via keys (e.g., primary keys).
One-to-One Relationship: One record in one table is linked to one record in another.
One-to-Many Relationship: One record in one table links to multiple records in another table.
Primary Key: A unique identifier for records in a table.
Secondary Key: Used for searching but not unique.

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12
Q

Query, Forms, and Reports

A

Query: A request for data retrieval from a database.
Form: An interface for entering or displaying data.
Report: Structured output, usually formatted for printing.

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13
Q

Spreadsheets

A

Setup: Includes multiple worksheets, tables, graphs, and data manipulation.
Formats and Conventions: Presentation of data, alignment, and correct data types.
Manipulation of data: Formula, coding data.

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14
Q

Webpages

A

Setup: Requires proper file structure, templates, and folders for assets (CSS, images).
Formats and Conventions: Aligning content, presenting data correctly.
Manipulation of data: Edit text, create links.

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15
Q

Website Design Tools

A

IPO Charts: Define inputs, processes, and outputs.
Storyboards: Visual layouts of web content.
Sitemaps: Hierarchical structure of the website.

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16
Q

Qualitative Data

A

Descriptive data (e.g., interview responses, observations).

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17
Q

Quantitative Data

A

Measurable data, usually numeric (e.g., survey statistics).

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18
Q

Primary Data

A

Data collected firsthand by the user.

19
Q

Secondary Data

A

Data collected by someone else, such as reports and articles.

20
Q

Data Integrity

A

Ensures data is accurate, authentic, and timely.

21
Q

Bias

A

Factors that may affect the quality and reliability of data.

22
Q

Guidelines for Creating Charts

A

Ensure clarity, label axes, use appropriate colors and scales.

23
Q

Types of Graphs

A

Bar charts, pie charts, line graphs, scatter plots—all serve different data visualization purposes.

24
Q

Data Collection Techniques

A

Surveys: Collect responses through questions.
Interviews: In-depth, qualitative responses.
Direct Observation: Monitoring behaviors or data collection directly.

25
Q

Project Management ( Gantt Chart, Milestones, Critical Path).

A

Gantt Chart: Shows project timelines and task dependencies.
Milestones: Key events or deliverables within the project.
Critical Path: A sequence of tasks that determine the minimum time needed to complete the project.

26
Q

Acts

A

Privacy and Data Protection Act 2014: Governs the handling of personal data in Victoria. anyomonity, use and discloscure of personal information.
Health Records Act 2001: Protects personal health information.
Copyright Act: Governs intellectual property rights over created works. use and disclosure and anyomninity.
Privacy Act 1988 - Australia-wide and for business with turnover of more than 3 mil. anayoninity and pseudominity, use and disclousre of personal information.

27
Q

Ethical Dilemma ( How to Solve)

A

Identify the problem.
Identify stakeholders and consequences.
Identify ethical standards.
Evaluate options.
Make a decision.

28
Q

APA Referencing (6th or 7th Edition) For websites and books.

A

Books: Author, A. A. (Year). Title. Publisher.
Webpages: Author, A. A. (Year). Title. Retrieved from URL.

29
Q

Network Advantages and Disadvantages

A

Advantages: Sharing data.
Disadvantages: Requires skilled staff, expensive to maintain.

30
Q

Types of Networks

A

LAN: Local Area Network, for small areas.
WAN: Wide Area Network, covering larger geographical areas.

31
Q

Network Architecture

A

Peer-to-Peer: All devices have equal status in the network.
Client-Server: Centralized control, where clients request resources from servers.

32
Q

Wired Networks

A

Advantages: Faster data transfer.
Disadvantages: Lack of mobility.

33
Q

Types of Cable

A

UTP: Unshielded twisted pair, used for most local networks.
Fibre Optic: High-speed cable, used for long-distance data transmission.

34
Q

Network Hardware

A

NIC: Network Interface Card, allows devices to connect to a network.
Router: Routes data between networks.
Switch: Connects devices within a network.

35
Q

Network Software

A

Network Operating System: Software that manages network resources and connectivity.

36
Q

Internet Protocols

A

TCP: Breaks data into packets and reassembles them.
IP: Routes data packets to the correct destination.

37
Q

VPN

A

(Virtual Private Network)- A secure, encrypted connection over the internet.

38
Q

NAS

A

(Network-Attached Storage)-A dedicated file storage device that provides data access over a network.

39
Q

Data Security- Threats

A

Accidental (data loss), deliberate (hacking), event-based (disasters).

40
Q

Data Security- Controls

A

Software security (encryption) and physical controls (locks, surveillance)

41
Q

Disaster Recovery Plan (DRP)

A

Emergency Plan: Defines procedures for handling immediate threats.
Backup Plan: Ensures data backups are stored and can be restored.
Restoration Plan: Outlines steps for restoring data and systems.

42
Q

Existence, Range and Type Check.

A

Existence check: Ensuring required fields are not empty, for example a valid coupon code must be recorderd in the copoun field.
Range check: Data falls within a certain range.
Type check: Data is of the correct type.

43
Q

Network Hardware and Software

A

Hardware: NIC, routers, switches, modems, firewalls.
Software: Operating systems, protocols like TCP/IP and FTP.

44
Q

Problem Solving Methodology

A

Analysis: Solution ( requiremnets, constraints and scope).
Design: Solution design and evaluvation crieteria.
Development: Manipulation, validation, testing and documentation.
Evaluation: Solution evaluvation and evluavtion stradegy.