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DBMS Theoryknowledge~10 mins

Why distributed databases handle scale in DBMS Theory - Test Your Understanding

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Practice - 5 Tasks
Answer the questions below
1fill in blank
easy

Complete the sentence to explain why distributed databases handle scale.

DBMS Theory
Distributed databases handle scale by spreading data across multiple [1].
Drag options to blanks, or click blank then click option'
Aservers
Btables
Cindexes
Dqueries
Attempts:
3 left
💡 Hint
Common Mistakes
Choosing 'tables' because they are part of databases but not the main scaling factor.
Selecting 'queries' which are commands, not storage units.
2fill in blank
medium

Complete the sentence to describe how distributed databases improve performance.

DBMS Theory
By distributing data, databases can handle more [1] simultaneously.
Drag options to blanks, or click blank then click option'
Aerrors
Brequests
Cindexes
Dbackups
Attempts:
3 left
💡 Hint
Common Mistakes
Choosing 'errors' thinking about problems rather than workload.
Selecting 'backups' which relate to data safety, not performance.
3fill in blank
hard

Fix the error in the explanation about distributed databases.

DBMS Theory
Distributed databases improve scale by storing all data on a single [1].
Drag options to blanks, or click blank then click option'
Aclient
Bnetwork
Cnode
Dserver
Attempts:
3 left
💡 Hint
Common Mistakes
Choosing 'server' which implies a single machine, not distributed.
Selecting 'client' which is a user device, not a storage point.
4fill in blank
hard

Fill both blanks to explain how distributed databases handle large data volumes.

DBMS Theory
Data is [1] across many [2] to balance load and improve access speed.
Drag options to blanks, or click blank then click option'
Asharded
Bcached
Cservers
Dbacked up
Attempts:
3 left
💡 Hint
Common Mistakes
Choosing 'cached' which relates to temporary storage, not distribution.
Selecting 'backed up' which is about data safety, not distribution.
5fill in blank
hard

Fill all three blanks to describe key benefits of distributed databases.

DBMS Theory
Distributed databases provide [1] by avoiding single points of failure, [2] by adding more nodes, and [3] by locating data closer to users.
Drag options to blanks, or click blank then click option'
Ascalability
Bredundancy
Clatency reduction
Dcomplexity
Attempts:
3 left
💡 Hint
Common Mistakes
Mixing up scalability and redundancy terms.
Choosing 'complexity' which is a challenge, not a benefit.