MCQs

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Overall MCQs for Reference

Redundant data refers to which of the following?
a. Unique data in one place
b. Unnecessary data duplication
c. Highly valuable data
d. Protected data only
Answer: b. Unnecessary data duplicationtechtarget+1
What is a common consequence of redundant data in databases?
a. Increased consistency
b. Increased storage costs
c. Improved processing speed
d. Enhanced security
Answer: b. Increased storage costsexploredatabase+1
Data redundancy is often the result of:
a. Normalized databases
b. Poor database design
c. Cloud computing
d. Data encryption
Answer: b. Poor database designgeeksforgeeks+1
Which process is aimed at minimizing redundant data in relational databases?
a. Data mining
b. Normalization
c. Encryption
d. Classification
Answer: b. Normalizationapix-drive+2
Redundant data can lead to which problem in an organization?
a. Data integrity issues
b. Faster insights
c. Streamlined operations
d. All of the above
Answer: a. Data integrity issuesowox+2
What does “deduplication” in data management refer to?
a. Merging different data types
b. Removing duplicate records
c. Encrypting data records
d. Sorting data alphabetically
Answer: b. Removing duplicate recordsapix-drive
Excessive redundant data in machine learning datasets can cause:
a. Improved model accuracy
b. Overfitting
c. Reduced reliability
d. Lower storage use
Answer: b. Overfittinglightly
In data science, what is the best approach to avoid data redundancy?
a. Ignore duplicate data
b. Use master data management (MDM)
c. Allow data inconsistency
d. None of the above
Answer: b. Use master data management (MDM)apix-drive
Which among the following is a type of data redundancy?
a. Logical duplication
b. Physical duplication
c. Both a and b
d. None of the above
Answer: c. Both a and bexploredatabase+1
Which normalization form eliminates transitive dependencies?
a. First Normal Form (1NF)
b. Second Normal Form (2NF)
c. Third Normal Form (3NF)
d. None of the above
Answer: c. Third Normal Form (3NF)jobspikr
Data redundancy is beneficial in which situation?
a. Backup and disaster recovery
b. Predictive analytics
c. Visualization
d. Data streaming
Answer: a. Backup and disaster recoverytalend+1
What is a potential drawback of redundant data in computation?
a. Enhanced scalability
b. Slow performance
c. Fast querying
d. Easy maintenance
Answer: b. Slow performancetechtarget+1
What is meant by “atomic data” in the context of redundancy reduction?
a. Complex data structures
b. Data split into smallest units
c. Redundant data grouped together
d. Data with multiple meanings
Answer: b. Data split into smallest unitsjobspikr
Inconsistent data may arise from:
a. Data redundancy
b. Data normalization
c. Data visualization
d. Data encryption
Answer: a. Data redundancyexploredatabase+1
What is often used to automatically remove near-duplicate samples in large datasets?
a. Random sampling
b. Similarity search
c. Manual auditing
d. None of these
Answer: b. Similarity searchlightly
Which data model helps describe redundant data relationships?
a. E-R diagram
b. Cluster analysis
c. Decision tree
d. Linear regression
Answer: a. E-R diagramstudocu
High redundancy in transactional databases can result in:
a. More efficient transactions
b. Data anomalies
c. Stronger backup strategies
d. None of these
Answer: b. Data anomaliesgeeksforgeeks+1
The main purpose of normalization in relational databases is to:
a. Improve data visualization
b. Remove redundant data
c. Enhance encryption
d. Provide analytics
Answer: b. Remove redundant datajobspikr+1
Which of the following is least likely to cause redundancy?
a. Centralized data management
b. Multiple data entry points
c. Lack of standardization
d. Manual data integration
Answer: a. Centralized data managementowox+1
Redundant bits in data transmission are used to:
a. Enhance encryption
b. Correct errors
c. Complicate processing
d. Reduce accuracy
Answer: b. Correct errorswikipedia
One of the data governance practices to curb redundancy is:
a. Ignoring duplicates
b. Creating strict update policies
c. Encouraging multiple copies
d. Decentralizing records
Answer: b. Creating strict update policiesapix-drive+1
Which is a disadvantage of redundant data in data warehousing?
a. More accurate analytics
b. Data inconsistency
c. Faster query times
d. Lower security risks
Answer: b. Data inconsistencyinterviewbit+1
What is a technique for handling data redundancy in ETL (Extract, Transform, Load) pipelines?
a. Data cleansing
b. Data masking
c. Data encryption
d. Data visualization
Answer: a. Data cleansingapix-drive
Which method restructures databases to minimize redundancy?
a. Denormalization
b. Normalization
c. Randomization
d. Partitioning
Answer: b. Normalizationgeeksforgeeks+1
Automated integration tools help in redundancy management by:
a. Synchronizing data across systems
b. Deleting useful data
c. Blocking external access
d. Encrypting all records
Answer: a. Synchronizing data across systemsapix-drive
What often results from storing the same data in several places?
a. Optimal resource use
b. Increased maintenance costs
c. Smoother data flows
d. Enhanced visualization
Answer: b. Increased maintenance coststechtarget+1
Which of the following can arise due to accidental data redundancy?
a. Data loss only
b. Data inconsistency
c. Data sampling
d. Data encryption
Answer: b. Data inconsistencyexploredatabase+1
Data redundancy is typically measured by:
a. The frequency of duplicate records
b. The encryption strength
c. The count of analyses per dataset
d. None of the above
Answer: a. The frequency of duplicate recordsowox+1
Duplicate detection algorithms are essential for:
a. Data compression
b. Data redundancy management
c. Data visualization
d. Data mining only
Answer: b. Data redundancy managementapix-drive
Which level of normalization ensures minimum data duplication?
a. First Normal Form (1NF)
b. Second Normal Form (2NF)
c. Third Normal Form (3NF)
d. All of the above
Answer: d. All of the abovejobspikr+1
What is a master data management practice useful for?
a. Securing all data
b. Providing a single source of truth
c. Duplicating key records
d. Denormalizing relationships
Answer: b. Providing a single source of truthapix-drive
Why is regular auditing crucial in redundancy avoidance?
a. To ignore errors
b. To eliminate redundant entries
c. To increase data duplication
d. To randomize records
Answer: b. To eliminate redundant entriesalooba+1
Which is NOT a cause of data redundancy?
a. Structured input forms
b. Manual entry into multiple systems
c. Lack of centralized updating
d. Poor database design
Answer: a. Structured input formsowox+1
Which storage system may intentionally use redundancy for fault tolerance?
a. RAID arrays
b. Cloud apps
c. Basic spreadsheets
d. Manual record books
Answer: a. RAID arraystechtarget
An unwanted outcome of redundant data is:
a. Data optimization
b. Data inconsistency
c. High performance
d. Efficient backups
Answer: b. Data inconsistencytechtarget+1
What is the correct description of data redundancy in databases?
a. Storing the same data in unnecessary multiple places
b. Encrypting key records
c. Automating all updates
d. Speeding up queries
Answer: a. Storing the same data in unnecessary multiple placesowox+1
Which approach helps minimize data redundancy in analytics platforms?
a. Automated deduplication
b. Manual sorting
c. Ignoring inconsistent records
d. Preferential selection
Answer: a. Automated deduplicationlightly+1
What can excessive data redundancy in a database result in?
a. Streamlined redundancy
b. Data anomalies during updates
c. Reduced backup requirements
d. Enhanced cryptography
Answer: b. Data anomalies during updatesexploredatabase+1
What is the primary risk of redundant data for organizations?
a. Improved efficiency
b. Difficulty in data updates
c. Lower analytics accuracy
d. None of the above
Answer: b. Difficulty in data updatesexploredatabase+1
Data redundancy is eliminated mainly through:
a. Data normalization
b. Data visualization
c. Data encryption
d. Data mining
Answer: a. Data normalizationgeeksforgeeks+2
In computer memory, redundancy may allow:
a. Faster encoding
b. Correction of errors
c. Data visualization
d. Unauthorized access
Answer: b. Correction of errorswikipedia
Which of the following is a challenge caused by redundant data in business systems?
a. Decreased maintenance requirements
b. Enhanced consistency
c. Increased risk of errors
d. Streamlined processing only
Answer: c. Increased risk of errorstechtarget+2
Which is NOT a recommended strategy to avoid redundancy?
a. Regular database audits
b. Strong update policies
c. Assign unique identifiers
d. Duplicate manual entries
Answer: d. Duplicate manual entriesalooba+1
What role does unique identifier assignment play in redundancy minimization?
a. Non-redundant data referencing
b. Duplicate backups maintenance
c. Unoptimized data entries
d. Inconsistent records creation
Answer: a. Non-redundant data referencingjobspikr
How does redundancy impact data analysis in large datasets?
a. Improves result accuracy
b. Causes imprecise models
c. Reduces sample size
d. Eliminates errors automatically
Answer: b. Causes imprecise modelslightly+1
Which database condition is a signal of excessive redundancy?
a. Multiple records referencing same data
b. Consistent atomic values
c. High performance under load
d. Optimized queries always
Answer: a. Multiple records referencing same dataowox+2
Which process helps keep only most valuable data by avoiding near-duplicates?
a. Typicality sampling
b. Data partitioning
c. Manual selection
d. Encryption
Answer: a. Typicality samplinglightly
What is NOT a benefit of managing redundant data?
a. Improved resource use
b. Better data integrity
c. Higher maintenance cost
d. Quality analytics
Answer: c. Higher maintenance costowox+1
Which is a result of ignoring redundancy in integrated data systems?
a. Enhanced system performance
b. Reduced decision-making accuracy
c. Stronger deduplication policies
d. Increased encryption
Answer: b. Reduced decision-making accuracyowox+1
What is the main purpose of data governance regarding redundancy?
a. Ensure data integrity and reliability
b. Multiply duplicate records
c. Fragment data systems
d. Permit endless updates
Answer: a. Ensure data integrity and reliabilityjobspikr+1

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