TinyDB's ____ assures data consistency and avoids data redundancy by separating data into distinct tables.

TinyDB - Quiz(MCQ)

data sharding

data modeling

data integration

data normalisation

Correct Answer : data normalisation

Explanation : TinyDB's data normalization assures data consistency and avoids data redundancy by separating data into distinct tables.

Recently Updated in TinyDB Questions

Which of the following is an example of a TinyDB query for retrieving documents where multiple data fields meet certain criteria?

{“field1 = value1 or field2 = value2”}

{“field1 = value1 and field2 = value2”}

{“field1 = value1 and field2 = value2 or field3 = value3”}

{“field1 = value1 or field2 = value2 and field3 = value3”}

Correct Answer : {“field1 = value1 and field2 = value2”}

Explaination : To retrieve documents where multiple data fields meet certain criteria, developers can use the {“field1 = value1 and field2 = value2”} syntax in a TinyDB query.

Which of the following is an example of a TinyDB query for retrieving documents where multiple data fields meet at least one of several possible criteria?

{“field1 = value1 or field2 = value2”}

{“field1 = value1 and field2 = value2”}

{“field1 = value1 and field2 = value2 or field3 = value3”}

{“field1 = value1 or field2 = value2 and field3 = value3”}

Correct Answer : {“field1 = value1 or field2 = value2”}

Explaination : To retrieve documents where multiple data fields meet at least one of several possible criteria, developers can use the {“field1 = value1 or field2 = value2”} syntax in a TinyDB query.

Which of the following is an example of a TinyDB query for retrieving documents where a specific data field is not null?

{“field1 = null”}

{“field1 is null”}

{“field1 != null”}

{“field1 is not null”}

Correct Answer : {“field1 is not null”}

Explaination : To retrieve documents where a specific data field is not null, developers can use the {“field1 is not null”} syntax in a TinyDB query.