Database Systems Online Tests
Data Dictionary Storage Multiple Choice Questions (MCQ) PDF Download
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Free Data Dictionary Storage Multiple Choice Questions (MCQ Quiz) with Answers (Data Dictionary Storage MCQ PDF Book) download to learn database systems online courses. Practice Storage and File Structure Multiple Choice Questions and Answers (MCQs), Data Dictionary Storage quiz answers PDF to learn computer engineering courses. The Data Dictionary Storage MCQ App Download: Free learning app for raid, magnetic disk and flash storage test prep for online college classes.
The MCQ: Relational schemas are stored in a structure called; "Data Dictionary Storage" App Download (Free) with answers sequence dictionary, storage dictionary, data dictionary and functional dictionary to learn computer engineering courses. Study data dictionary storage quiz questions, download Google e-Book (Free Sample) for online computer science and engineering.
Data Dictionary Storage MCQs: Questions and Answers PDF Download
MCQ 1: Relational schemas are stored in a structure called
- Sequence dictionary
- Storage dictionary
- Data Dictionary
- Functional dictionary
MCQ 2: Data about data is referred to as
- Grand-data
- Metadata
- Teradata
- Tieradata
MCQ 3: Data dictionary is also known as
- Function catalog
- Data catalog
- Storage catalog
- System catalog
MCQ 4: Metadata about relations are stored in a structure known as
- Data Dictionary
- Functional dictionary
- Sequence dictionary
- Storage dictionary
Database Systems Practice Tests
Data Dictionary Storage Learning App & Free Study Apps
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Computer Architecture Practice Questions
Database Systems Practice Tests
Computer Architecture MCQ Questions
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Data Dictionary Storage MCQs Book Questions
- Adding or subtracting an interval to a date or time gives back a/an
- Most fastest and costly form of storage is named as
- Standard that supports formatted display of information, and creation of forms based
- Data models provides a way to describe the design of a database at the level
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- In a database design, gathering the data needs of the prospective database