- A First
- BSecond
- CThird
- DFourth
Normal Form MCQ - Quiz
- ABe in Second Normal Form (2NF)
- BBe in Third Normal Form (3NF)
- CHave a single attribute key
- DHave a composite key
- AEliminate all hidden dependencies
- B Eliminate the possibility of a insertion anomalies
- CHave a composite key
- DHave all non key fields depend on the whole primary key
- ABCNF is stricter than 3 NF
- BLossless, dependency -preserving decomposition into 3 NF is always possible
- C Loss less, dependency
- DAny relation with two attributes is BCNF
- AKey
- BKey revisited
- CSuperset key
- DNone of the mentioned
- AFunctional dependency
- BDatabase modeling
- CNormalization
- DDecomposition
- A1NF
- B2NF
- C3NF
- D All of the mentioned
- A1NF
- B2NF
- C3NF
- D4NF
- A1 NF only
- B2 NF and hence also in 1 NF
- C3NF and hence also in 2NF and 1NF
- DBCNF and hence also in 3NF, 2NF and 1NF
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Normal Form MCQ - Quiz
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- A. First
- B. Second
- C. Third
- D. Fourth
Remarks:
Explanation: The first normal form is used to eliminate the duplicate information.
- A. Be in Second Normal Form (2NF)
- B. Be in Third Normal Form (3NF)
- C. Have a single attribute key
- D. Have a composite key
Remarks:
Explanation: The relation in second normal form is also in first normal form and no partial dependencies on any column in primary key.
- A. Eliminate all hidden dependencies
- B. Eliminate the possibility of a insertion anomalies
- C. Have a composite key
- D. Have all non key fields depend on the whole primary key
Remarks:
Explanation:
The relation in second normal form is also in first normal form and no partial dependencies on any column in primary key.
Tables in second normal form (2NF) are a stage of database normalization in which a table's primary key determines a unique set of non-key attributes. In other words, in a table in 2NF, all non-primary key columns are dependent on the primary key and do not repeat groups of data. This means that there is no partial dependency of non-primary key columns on the primary key. By having a table in 2NF, the data is less prone to data inconsistencies and is more scalable.
To bring a table to 2NF, it must first be in first normal form (1NF) which means that all repeating groups of data have been removed and each row has a unique identifier. Then, any non-primary key columns that are not dependent on the primary key should be removed and placed in a separate table with a foreign key referencing the primary key of the original table. This ensures that any non-key columns are only dependent on the primary key and not on other non-key columns.
- A. BCNF is stricter than 3 NF
- B. Lossless, dependency -preserving decomposition into 3 NF is always possible
- C. Loss less, dependency
- D. Any relation with two attributes is BCNF
Remarks:
Explanation: We say that the decomposition is a lossless decomposition if there is no loss of information by replacing r (R) with two relation schemas r1(R1) andr2(R2).
- A. Key
- B. Key revisited
- C. Superset key
- D. None of the mentioned
Remarks:
Explanation: Key is the basic element needed for the constraints.
- A. Functional dependency
- B. Database modeling
- C. Normalization
- D. Decomposition
Remarks:
Explanation: Normalisation is the process of removing redundancy and unwanted data.
- A. 1NF
- B. 2NF
- C. 3NF
- D. All of the mentioned
Remarks:
Explanation: The first normal form is used to eliminate the duplicate information.
- A. 2NF
- B. 3NF
- C. 4NF
- D. 5NF
Remarks:
Explanation: A Table is in 4NF if and only if, for every one of its non-trivial multivalued dependencies X \twoheadrightarrow Y, X is a superkey—that is, X is either a candidate key or a superset thereof.
- A. 1NF
- B. 2NF
- C. 3NF
- D. 4NF
Remarks:
Explanation: The table is in 3NF if every non-prime attribute of R is non-transitively dependent (i.e. directly dependent) on every superkey of R.
- A. 1 NF only
- B. 2 NF and hence also in 1 NF
- C. 3NF and hence also in 2NF and 1NF
- D. BCNF and hence also in 3NF, 2NF and 1NF
Remarks:
Explanation: The relation in second normal form is also in first normal form and no partial dependencies on any column in primary key.