MCQs

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Overall MCQs for Reference

Which term refers to the uniformity, accuracy, and coherence of data across various databases and systems?
a. Data redundancy
b. Data consistency
c. Data scalability
d. Data integrity
Answer: b. Data consistencyatlan+2
What is NOT a key type of data consistency?
a. Structural consistency
b. Temporal consistency
c. Value consistency
d. Data fragmentation
Answer: d. Data fragmentationdecube+1
Which method involves checking that all foreign keys in one table match primary keys in another?
a. Cross-system consistency
b. Referencial consistency
c. Version consistency
d. Transformation consistency
Answer: b. Referencial consistencyfuture-processing+2
Temporal consistency ensures which aspect is maintained?
a. Data accessibility
b. Chronological accuracy
c. Replication speed
d. Storage efficiency
Answer: b. Chronological accuracymontecarlodata+1
What is crucial for data consistency in analytics?
a. Random sampling
b. Uniform data formats
c. Missing values
d. Inconsistent metrics
Answer: b. Uniform data formatsibm+1
Which process identifies anomalies and checks the structure of data?
a. Data profiling
b. Data streaming
c. Data silos
d. Data exploitation
Answer: a. Data profilingatlan+1
Value consistency refers to:
a. Uniqueness of data entries
b. Uniformity and coherence of values for the same entity
c. Data metadata collection
d. Security of data
Answer: b. Uniformity and coherence of values for the same entitydecube+1
Data cleansing typically involves:
a. Randomizing the data
b. Removing duplicates and correcting errors
c. Encrypting data
d. Splitting datasets
Answer: b. Removing duplicates and correcting errorsfuture-processing+1
Which tool is commonly used for data integration and consistency between systems?
a. Apache Hadoop
b. Informatica
c. Tableau
d. Power BI
Answer: b. Informaticafuture-processing
Logical consistency relates to:
a. Efficient storage management
b. Proper logical relationships within data
c. Fast data transfer
d. Visualization methods
Answer: b. Proper logical relationships within datametaplane+1
Which aspect measures whether data conforms to business rules?
a. Statistical consistency
b. Business logic consistency
c. Referential consistency
d. Historical consistency
Answer: b. Business logic consistencyatlan+1
Granularity consistency refers to:
a. Data size limitation
b. Consistent level of detail in data collection
c. Data archiving
d. Data encryption
Answer: b. Consistent level of detail in data collectionatlan
Which is a key challenge for data consistency in distributed systems?
a. Network security
b. Data currency across nodes
c. Data mining efficiency
d. Report automation
Answer: b. Data currency across nodesgeeksforgeeks+1
In database terminology, what ensures that updates are reflected across all replicas?
a. Data redundancy
b. Data sharding
c. Data replication consistency
d. Access control
Answer: c. Data replication consistencymontecarlodata+1
What does referential integrity help maintain?
a. Correct links between related data elements
b. Encryption standards
c. Data compression
d. Data analytics speed
Answer: a. Correct links between related data elementsibm+1
Cross-source consistency is important when:
a. Aggregating data from multiple systems
b. Analyzing a single table only
c. Ignoring missing values
d. Using unstructured data
Answer: a. Aggregating data from multiple systemsdecube+1
Which technology allows real-time synchronization for consistency?
a. SymmetricDS
b. MapReduce
c. Airflow
d. Kafka
Answer: a. SymmetricDSfuture-processing
What type of consistency is required when analyzing trends over time?
a. Value consistency
b. Historical consistency
c. External consistency
d. Referential consistency
Answer: b. Historical consistencydecube+1
Automated monitoring tools help in:
a. Hiding data inconsistencies
b. Continuously alerting administrators to discrepancies
c. Increasing data volume
d. Cleaning all unstructured data
Answer: b. Continuously alerting administrators to discrepanciesfuture-processing
Which consistency check involves queries or reports verifying data matches across system sections?
a. Consistency check
b. Profiling check
c. Streaming check
d. Encryption check
Answer: a. Consistency checkcouchbase+1
A key benefit of consistent data is:
a. Faster machine learning model training
b. Reliable analytical insights
c. Larger datasets
d. Reduced cloud cost
Answer: b. Reliable analytical insightsmontecarlodata+1
Inconsistent data across sources may lead to:
a. Improved accuracy
b. Misleading conclusions
c. Higher security
d. Greater redundancy
Answer: b. Misleading conclusionsatlan+1
Data governance frameworks support:
a. Data replication speed
b. Enforcing data consistency rules
c. Security patching
d. Visualization techniques
Answer: b. Enforcing data consistency rulesatlan+1
Which is NOT a tool for data consistency maintenance?
a. MySQL
b. Git
c. Collibra
d. Paint
Answer: d. Paintfuture-processing
Which consistency type ensures correct relationships, like customer and order tables?
a. Logical consistency
b. Referencial consistency
c. Value consistency
d. Temporal consistency
Answer: b. Referencial consistencymontecarlodata+1
Data consistency is critical for:
a. Unstructured datasets only
b. All data-driven systems and analytics
c. Video data analysis
d. Redundant storage
Answer: b. All data-driven systems and analyticsmontecarlodata+1
Which best practice helps prevent inconsistencies?
a. Defining data consistency rules
b. Increasing storage size
c. Using random sampling
d. Ignoring outliers
Answer: a. Defining data consistency rulesdecube+1
Consistency in time series data ensures:
a. Data is random
b. Chronological integrity across periods
c. Data is encrypted
d. Unstructured data
Answer: b. Chronological integrity across periodsatlan
When merging datasets, what must be ensured for consistency?
a. Matching attribute formats and units
b. Larger file sizes
c. Encryption
d. Sampling bias
Answer: a. Matching attribute formats and unitsdecube+1
What could cause data inconsistency?
a. Manual data entry errors
b. High-speed internet
c. Using standard APIs
d. Automated monitoring
Answer: a. Manual data entry errorsfuture-processing+1
Consistency checks can be performed using:
a. Random guessing
b. Data validation rules
c. Visual dashboards
d. Chatbots
Answer: b. Data validation rulesatlan+1
Which tool specializes in real-time synchronization for consistency?
a. GitHub
b. SymmetricDS
c. WordPress
d. Canva
Answer: b. SymmetricDSfuture-processing
Data duplication can negatively affect:
a. Value consistency
b. Encryption protocol
c. Data redundancy
d. Visualization process
Answer: a. Value consistencydecube+1
Consistency across systems is called:
a. Cross-system consistency
b. Data mining consistency
c. Migration consistency
d. Record consistency
Answer: a. Cross-system consistencyatlan
What does external consistency refer to?
a. Consistency of internal business rules only
b. Aligning data with outside trusted sources
c. Synchronization between tables
d. Data storage
Answer: b. Aligning data with outside trusted sourcesdecube+1
Which is a common cause for inconsistent data during ETL processes?
a. Standardized formats
b. Lack of transformation rules
c. Automated schema mapping
d. Schema validation
Answer: b. Lack of transformation rulesfuture-processing+1
Referential consistency helps during:
a. Foreign key associations
b. Visualization
c. Encryption
d. Streaming analysis
Answer: a. Foreign key associationsatlan+1
Data consistency vs. data integrity: which is broader?
a. Consistency
b. Integrity
c. Reliability
d. Accuracy
Answer: b. Integrityibm
Data transformation supports consistency by:
a. Aligning formats, units, structures
b. Increasing redundancy
c. Enhancing visualization speed
d. Randomizing values
Answer: a. Aligning formats, units, structuresdecube+1
Consistency across data replicas is a concern in:
a. Distributed databases
b. CRT displays
c. Single-file storage
d. Desktop graphics
Answer: a. Distributed databasesgeeksforgeeks+1
Higher consistency leads to:
a. Better model accuracy and predictions
b. Slower processing
c. Increased redundancy
d. Loss of historical data
Answer: a. Better model accuracy and predictionsibm+1
Which pattern helps ensure consistency in microservices?
a. Saga pattern
b. Random pattern
c. Tree pattern
d. Waterfall pattern
Answer: a. Saga patterndaily
Maintaining audit trails aids consistency by
a. Keeping records of every change
b. Ignoring invalid entries
c. Reducing storage requirements
d. Improving encryption standards
Answer: a. Keeping records of every changefuture-processing+1
Which metric can be used to measure consistency in data sets?
a. Mean deviation
b. Coefficient of variation
c. Skewness
d. Quartiles
Answer: b. Coefficient of variationtestbook
High-quality data is characterized by:
a. Consistency, completeness, correctness
b. Encryption only
c. Redundancy
d. Formatting
Answer: a. Consistency, completeness, correctnessdecube+1
Data validation is done to ensure:
a. Data is consistent with rules and standards
b. All data is encrypted
c. Visualization is enhanced
d. Sampling is random
Answer: a. Data is consistent with rules and standardsatlan+1
Inconsistent data may result in:
a. Proper decision making
b. Flawed strategies and predictions
c. Increased interpretability
d. Efficient analytics
Answer: b. Flawed strategies and predictionsdecube+1
A feature of consistent systems is:
a. All users see the same data at any moment
b. Only admins access data
c. Unique visualizations
d. Real-time translation
Answer: a. All users see the same data at any momentcouchbase+1
Robustness in analysis is supported by:
a. Externally valid, consistent data
b. Inconsistent model inputs
c. Ignoring missing values
d. Unstructured storage
Answer: a. Externally valid, consistent datatestbook
What enables organizations to reliably aggregate, analyze, and report data?
a. Maintaining data consistency rules and standards
b. Ignoring system errors
c. Limiting data sources
d. Increasing visualization features
Answer: a. Maintaining data consistency rules and standardsibm+2

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