EXAM REVISION

Question 1

APA

Answer 1

APA – American Psychological Association

Question 2

Data

Answer 2

Data – raw unprocessed facts and figures

Question 3

Information

Answer 3

Information – Useful knowledge created by manipulating and summarising data.

Question 4

Data dictionary

Answer 4

Data dictionary – A design tool used to work out table and field name properties.

Question 5

Constraints

Answer 5

Constraints – limitations on the solution. Can be legal, economic, technical, social, etc. Main ones are time and money.

Question 6

Design principals

Answer 6

Design principals – expectations around what needs to be considered when designing functionality and appearance.

Question 7

Mockup

Answer 7

Mockup – a sketch of a solution design.

Question 8

Plagiarism

Answer 8

Plagiarism – clamming or submitting someone else’s work as your own.

Question 9

Scope

Answer 9

Scope – A statement about what the solution will and will not do.

Question 10

Primary Data

Answer 10

Primary data – new facts and collected personally by a researcher to answer a specific question.

Question 11

Secondary Data

Answer 11

Secondary data – Data collected by someone other than the researcher, which has often been processed.

Question 12

Solution Requirements

Answer 12

Solution requirements – What the client wants from the solution, can be broken down into functional and non-functional requirements.

Question 13

Testing

Answer 13

Testing- ensuring somethings works as intended and outputs are accurate.

Question 14

Conventions

Answer 14

Conventions – A way of doing things established by general consent or usage.

Question 15

Formats

Answer 15

Formats – How something is displayed eg arranging the look or presentation of an object.

Question 16

What are the Data types?

Answer 16

Text, integer, floating point, character, boolean, time, date, etc.

Question 17

Types of ways to collect data

Answer 17

Survey, interview and observations.

Question 18

Stages in Problem Solving Methodology

Answer 18

Analysis, Design, Development and Evaluation

Question 19

Validation

Answer 19

Validation checks weather the data is reasonable. Types of Validation are Range check, Type check and existence check.

Question 20

Data Integrity

Answer 20

Makes sure data is Accurate, Timely, Authentic, Correct, Reasonable and Relevant.

Question 21

Data cleansing

Answer 21

Inaccuracies in the data are detected and corrected.

Question 22

Existence Check

Answer 22

This validation ensures a field has data entered in it.

Question 23

IPO chart

Answer 23

Diagram used to identify inputs, outputs and the processing steps required to transform inputs to outputs.

Question 24

Layout Diagram

Answer 24

A hand drawn sketch that shows elements to be included on an input form.

Question 25

Manual Validation

Answer 25

Process of visually inspecting data to check if there are any errors.

Question 26

Normalization

Answer 26

Removing redundant data and arranging it into appropriate tables to improve data integrity and reduce redundancy.

Question 27

Query

Answer 27

To select specific data based on a series of criteria.

Question 28

Range Check

Answer 28

Validation rule to see if data falls within an acceptable limit.

Question 29

Type Check

Answer 29

Validation rule that checks that only the correct data type is accepted.

Question 30

Informal and Formal testing

Answer 30

informal testing is performed by solution developer while formal testing is the testing of the overall solution after its completed.

Question 31

Gantt Chart

Answer 31

Shows the progress of a project by placing tasks on a timeline, often with comments or annotations.

Question 32

Likert Scale

Answer 32

Used to encode qualitative data

Question 33

Dynamic Visulisation

Answer 33

Presentation allows data and information to be updated , and the presentation will adjust to shows recent info.

Question 34

functional requirement

Answer 34

Directly related to what the solution will do

Question 35

non-functional requirement

Answer 35

Other requirements that the user or client would like the solution to have but do not affect what the solution does.

Question 36

Non-technical constraint

Answer 36

A limitation that relates to areas other than hardware and software such as usability and users level of experience.

Question 37

Technical Constraint

Answer 37

A limitation imposed by hardware or software on the solution

Question 38

Evaluation Criteria

Answer 38

rules set out during design that include effectiveness and efficiency criteria and are based on the solutions requirements.

Question 39

Disaster Recovery Plan Steps

Answer 39

Evacuation, Backup, Restoration and Testing.

Question 40

Evaluation

Answer 40

Assesses weather the solutions achieves the goal it was designed for.

Question 41

Back up

Answer 41

Making a copy of the data and storing it in a location that is separate than the original.

Question 42

Biometric Security

Answer 42

Devices that check unique biological characteristics of a person.

Question 43

Client/ server network

Answer 43

Central Server stores data and software and client devices request data from server.

Question 44

Cloud Computing

Answer 44

Involves Storing data in a remote location, using an internet connection to transfer data.

Question 45

Encryption

Answer 45

Encoding or changing data so if that unauthorized people cannot read the data.

Question 46

Firewall

Answer 46

Software that monitors all incoming and outgoing internet traffic from a LAN. It examines each data packet and determines if it should have access to the LAN.

Question 47

Full backup

Answer 47

Backs up all information and data at one time.

Question 48

Incremental Backup

Answer 48

Creating a full backup from time to time and performing partial backups in-between full backups.

Question 49

Malware

Answer 49

Malicious Software that is designed to damage, disrupt or gain unauthorized access to an information system.

Question 50

Network Attached Storage

Answer 50

A device that offers data storage capabilities.

Question 51

Ethics

Answer 51

The principals of right and wrong which are accepted by an individual or a social group