The options that are primarily used to help ensure data integrity are:

1. Data Types: Data types are a way to ensure data integrity because they define the kind of data that can be stored in a field. For example, if a field is defined as an integer type, the database management system (DBMS) will not allow a text string to be saved in this field. This helps to prevent incorrect or inappropriate data from being saved.

2. Lookup Tables: Lookup tables also help to ensure data integrity. They are used to validate the data that is being entered into a database. For example, if a field is supposed to contain a country code, a lookup table of valid country codes can be used to check the data that is being entered. If the data does not match an entry in the lookup table, it can be rejected.

Conceptual design and De-normalisation are not primarily used to ensure data integrity. Conceptual design is more about how the database is structured and organized, while de-normalisation is a technique used to improve the performance of a database at the expense of redundancy.

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The options that are primarily used to help ensure data integrity are:

1. Data Types: Data types are a way to ensure data integrity because they define the kind of data that can be stored in a field. For example, if a field is defined as an integer type, the database management system (DBMS) will not allow a text string to be saved in this field. This helps to prevent incorrect or inappropriate data from being saved.

2. Lookup Tables: Lookup tables also help to ensure data integrity. They are used to validate the data that is being entered into a database. For example, if a field is supposed to contain a country code, a lookup table of valid country codes can be used to check the data that is being entered. If the data does not match an entry in the lookup table, it can be rejected.

Conceptual design and De-normalisation are not primarily used to ensure data integrity. Conceptual design is more about how the database is structured and organized, while de-normalisation is a technique used to improve the performance of a database at the expense of redundancy.

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The options that are primarily used to help ensure data integrity are:

1. Data Types: Data types are a way to ensure data integrity because they define the kind of data that can be stored in a field. For example, if a field is defined as an integer type, the database management system (DBMS) will not allow a text string to be saved in this field. This helps to prevent incorrect or inappropriate data from being saved.

2. Lookup Tables: Lookup tables also help to ensure data integrity. They are used to validate the data that is being entered into a database. For example, if a field is supposed to contain a country code, a lookup table of valid country codes can be used to check the data that is being entered. If the data does not match an entry in the lookup table, it can be rejected.

Conceptual design and De-normalisation are not primarily used to ensure data integrity. Conceptual design is more about how the database is structured and organized, while de-normalisation is a technique used to improve the performance of a database at the expense of redundancy.

Which of the following are primarily used to help ensure data integrity (more than one answer)?Group of answer choicesConceptual designData typesDe-normalisationLookup tables

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