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The phrase brain dump refers to the transfer of a large quantity of information from one person or computer to another. As slang, it can describe a hurried explanation of a system, job, skillset, GD0-110, or other software engineering subject. In computing, describes the taking of a snapshot of the internal state of a knowledge database for transfer or archiving purposes.

There are 3 phases in the brain dump process:

1. capture; or the free- (if necessary guided-) forming of thoughts into a notation (or language, such as UML) that can be stored in a computer. When people only are involved, this usually takes the form of a FAQ.

2. storage; or the computable and transformable machine representation of GD0-110 knowledge into a persistent medium (flattening or structuring of the data, such as a DBMS or Object Store). When people only are involved this takes the form of an interactive training disc (for example).

3. query, analysis, and transformation; or the access to GD0-110 information using a universal interface (such as an API, SQL, or a Wiki). When people only are involved this takes the form of the sitting of a computer skill exam such as any of the Microsoft MCP (or MCSE) qualifications.

Colloquially, braindumps referred to confidential information relating to examinations that were obtained by examinees by memorizing and then "dumping" (recording) them after the examination ends (mainly because no material might be brought out from GD0-110 examination rooms).

Braindumps are commonly found in computer engineering professional certification (GD0-110) examinations (mainly because they are expensive, difficult to pass, but the exam questions rarely changed). In these examinations, braindumps are in form of questions (possibly with their choices, if the questions are multiple choice questions).

Overall, braindumps are not good for the certification itself because it allowed unqualified examinees to pass the test, hence undermining the certificate's quality. HOWEVER, using dump information to discover the percentage of categories, style, kinds of questions or GD0-110 area of effect is a useful measure.