Micro 9 Flashcards

1
Q

Data Processing Cycle Stages

A
  • Data Collection
  • Preparation
  • Input
  • Processing
  • Output / Result
  • Storage
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2
Q

This is the first stage of the cycle, and is very crucial, since the quality of data collected will impact heavily on the output

A

Data Collection

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3
Q

The collection process needs to ensure that the data gathered are both defined and accurate, so that subsequent decisions based on the findings are valid

A

Data Collection

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4
Q

Some people consider this as a part of processing but does not involve any processing

A

Preparation

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5
Q

It is the manipulation of data into a form suitable for further analysis and processing

A

Preparation

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6
Q

This is the feeding of collected data, raw and sieved data for processing

A

Input

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7
Q

It is the task where verified data is coded or converted into machine readable form so that it can be processed through an application

A

Input

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8
Q

This is the step where data is processed by electronic data processing, mechanical processing, processing system or other means

A

Processing

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9
Q

The processed data is delivered in the form of information/ results in this step. Once the result or output is received, it may further be processed or interpreted

A

Output / Result

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10
Q

is the stage where processed information is now transmitted and displayed to the user

A

Output and interpretation

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11
Q

is the last stage in the data processing cycle, where data, and metadata (information about data) are held for future use

A

Storage

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12
Q

is term used to explain the sequence of steps or process used to process the raw data and turn it into readable form and generate meaningful information

A

Data Processing Cycle

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13
Q

This continuous use and processing of data follow a

A

cycle

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14
Q

is simply the conversion of raw data to meaningful information through a process

A

Data processing

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15
Q

suggests a sequence of steps or operations for processing
data i.e., processing raw data to the usable and readable form

A

Data processing cycle

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16
Q

This stage provides both the baseline from which to measure, and a target on what to improve.

A

Data Collection

17
Q

identification of datasets and data items is done at this stage

A

Data Collection

18
Q

includes sorting and filtering of data which will finally be used as input

A

Preparation

19
Q

This stage required you to remove the extra or unusable data to make processing faster and better

A

Preparation

20
Q

This is a broad step in reducing the quantity of data to yield in a better result

A

Preparation

21
Q

Preparation is sometime referred as

A

data cleaning

22
Q

is about constructing a data set from one or more data sources to be used for further exploration and processing

A

Preparation

23
Q

If the inputs is not given properly or entered wrong, then the result will be adversely affected. This is because software follows the rule of

A

“Garbage in – garbage out”

24
Q

It is when the data is subjected to various means and methods of powerful technical manipulations using Machine Learning and Artificial Intelligence algorithms to generate an output or interpretation about the data

A

Processing

25
is presented to users in various report formats like graphical reports, audio, video, or document viewers.
Output
26
The importance of this cycle is that it allows quick access and retrieval of the processed information, allowing it to be passed on to the next stage directly, when needed.
Storage