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MongoDBquery~5 mins

Why document design matters in MongoDB - Quick Recap

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Recall & Review
beginner
What is document design in MongoDB?
Document design is how you organize and structure data inside MongoDB documents to make data easy to access and efficient to store.
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beginner
Why does document design affect query performance?
Good document design reduces the number of database reads by storing related data together, so queries can get all needed info in fewer steps.
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intermediate
How can poor document design cause data duplication?
If related data is repeated in many documents instead of referenced or embedded properly, it causes duplication, wasting space and risking inconsistent data.
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beginner
What is embedding in document design?
Embedding means putting related data inside the same document, like putting an address inside a user document, which helps read data quickly.
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intermediate
When should you use references instead of embedding?
Use references when data is large, changes often, or is shared by many documents, so you avoid duplication and keep data consistent.
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Why is good document design important in MongoDB?
AIt removes the need for indexes
BIt improves query speed and reduces data duplication
CIt increases the number of documents needed
DIt makes the database look prettier
What does embedding data inside a document mean?
AStoring related data inside the same document
BLinking to data in another database
CCopying data to a backup file
DDeleting unused data
When is referencing preferred over embedding?
AWhen you want to duplicate data
BWhen data is small and static
CWhen you want faster reads only
DWhen data is shared or changes often
What can happen if document design is poor?
AData duplication and slow queries
BAutomatic data correction
CFaster database backups
DLess storage used
How does good document design help developers?
AAutomatically fixes bugs
BRemoves the need to write queries
CMakes data easier to find and update
DPrevents all errors
Explain why document design matters in MongoDB and how it affects performance and data consistency.
Think about how data is stored and accessed in documents.
You got /5 concepts.
    Describe when you would choose embedding data inside a document versus using references in MongoDB.
    Consider the size and update frequency of the data.
    You got /3 concepts.