Q:1. The first usage of Data came in:

1.1640
2.1954
3.1946
4.1940

Solution- 3. 1946

Reason- The first English use of the word “data” is from the 1640s. The word “data” was first used to mean “transmissible and storable computer information” in 1946.


Q:2. DIKW:

1.Stands for Data, Information, Knowledge, Wisdom
2.In 1994 Nathan Shedroff presented the DIKW hierarchy in an information design context
3.In this context data is considered as symbols representing signals
4.All the above statements are correct

Solution- 1.Stands for Data, Information, Knowledge, Wisdom

Reason 1- Knowledge Pyramid, Wisdom Hierarchy and Information Hierarchy are some of the names referring to the popular representation of the relationships between data, information, knowledge and wisdom in the Data, Information, Knowledge, Wisdom (DIKW) Pyramid.


Q:3. Classification data type which is not on the basis of measurement:

1.Ratio data
2.Ordinal data
3.Boolean data (True/False)
4.Interval data

Solution- 3. Boolean data (True/False)

Reason- There are four levels of data measurements in classification data type: Nominal, Ordinal, Interval, and Ratio.


Q:4. Not a case of Qualitative vs Quantitative data:

1.Category vs Number
2.Observed vs Measured
3.Smell vs Height
4.Volume vs Color

Solution- 4.Volume vs Color

Reason 1- Quantitative data can be counted, measured, and expressed using numbers. Qualitative data is descriptive and conceptual. Qualitative data can be categorized based on traits and characteristics.


Reason 2- Quantitative data are often counted, measured, and expressed using numbers. Qualitative data is descriptive and conceptual. Qualitative data are often categorized supported traits and characteristics.


Q:5. User driven approach is

1.Data Mining
2.Deep Learning
3.OLTP
4.Machine Learning

Solution- 3.OLTP

Reason 1- Current data warehouse development methods. can fall within three basic groups: data –driven, goal-driven and user–driven. Implementation strategies.


Reason 2- Current data warehouse development methods. can fall within three basic groups: data -driven, goal-driven and user-driven. Implementation strategies.

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