MCQs

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Overall MCQs for Reference

What is the primary goal of a data audit in data science?
a. To build machine learning models
b. To assess and improve data quality
c. To visualize data
d. To increase dataset size
Answer: b. To assess and improve data qualityegnyte+2
Which of the following is NOT a typical step in the data audit process?
a. Data identification
b. Data visualization
c. Quality assessment
d. Reporting
Answer: b. Data visualizationsolvexia+1
Data auditing generally begins with:
a. Modeling
b. Planning objectives and scope
c. Data encryption
d. Data labeling
Answer: b. Planning objectives and scopedigitalguardian+1
Which type of data audit focuses specifically on meeting regulatory requirements?
a. Financial audit
b. Operational audit
c. Compliance audit
d. IT audit
Answer: c. Compliance auditsolvexia
What is a key output of a data audit?
a. Data encryption keys
b. Audit report with findings and recommendations
c. Visualization dashboard
d. Automated data pipeline
Answer: b. Audit report with findings and recommendationsdigitalguardian+1
Who are essential stakeholders to involve in data audits?
a. Only IT staff
b. Data creators, users, managers
c. Marketing staff only
d. External auditors only
Answer: b. Data creators, users, managersegnyte
Data audits often assess data:
a. Formatting only
b. Accuracy, completeness, and consistency
c. Encryption algorithm
d. Storage capacity
Answer: b. Accuracy, completeness, and consistencyegnyte+1
Which method is commonly used in data audit to identify abnormal trends?
a. Ratio analysis
b. Descriptive statistics
c. Trend analysis
d. Encryption
Answer: c. Trend analysisaudit
A primary benefit of regular data audits is:
a. Reducing data redundancy
b. Maintaining data integrity over time
c. Increasing data privacy
d. Enabling faster computations
Answer: b. Maintaining data integrity over timeprophecy+1
Which type of data audit focuses on how data processes contribute to workflow efficiency?
a. Compliance audit
b. Operational audit
c. IT audit
d. Synthetic audit
Answer: b. Operational auditsolvexia
Before starting a data audit, it is critical to:
a. Select visualization software
b. Define audit objectives
c. Encrypt all data
d. Delete non-relevant files
Answer: b. Define audit objectivesdigitalguardian+1
What is cataloged during the data identification phase of an audit?
a. Only structured data
b. Data sources and types
c. Data encryption keys
d. User passwords
Answer: b. Data sources and typessolvexia+1
What ensures the security evaluation part of a data audit?
a. Data format checks
b. Access controls and data protection measures
c. Data cleaning
d. Data labeling
Answer: b. Access controls and data protection measuresdigitalguardian+1
In data auditing, logical analysis typically checks for:
a. Feature scaling
b. Business rule consistency
c. Data size
d. Data visualization
Answer: b. Business rule consistencyaudit
The process of checking for errors, gaps, and duplications is known as:
a. Data enrichment
b. Data quality assessment
c. Data masking
d. Data labeling
Answer: b. Data quality assessmentsolvexia+1
What is a typical best practice for effective data audits?
a. Irregular audits
b. Comprehensive documentation
c. Manual data entry
d. Removing old audit trails
Answer: b. Comprehensive documentationsolvexia
Data audits play a role in supporting which broader data objective?
a. Data monetization
b. Data governance
c. Data compression
d. Data mining
Answer: b. Data governancenexla+1
What technique is useful for revealing overall data structure in audit analysis?
a. Scatter plot
b. Regression
c. Structural analysis
d. Root cause analysis
Answer: c. Structural analysisaudit
What is a key function of comparative analysis in data audits?
a. Compare algorithms
b. Verify articulation between data sets
c. Compress data
d. Tokenize data
Answer: b. Verify articulation between data setsaudit
Which phase in a data audit focuses on implementing recommendations?
a. Objective definition
b. Data compilation
c. Implementation and monitoring
d. Data encryption
Answer: c. Implementation and monitoringdigitalguardian+1
What should be monitored after execution of audit recommendations?
a. Employee satisfaction
b. Changes in data quality and compliance
c. Software speed
d. Number of visualizations
Answer: b. Changes in data quality and complianceprophecy+1
During a data audit, feature discovery aims to:
a. Discover new data relationships
b. Encode text
c. Sort data files
d. Encrypt data
Answer: a. Discover new data relationshipsaudit
What provides the basis for identifying priority audit areas?
a. Data visualization
b. Stakeholder engagement and objectives
c. IT department policies
d. Data storage size
Answer: b. Stakeholder engagement and objectivesegnyte+1
Which analysis checks if data patterns align with expectations?
a. Ratio analysis
b. Logical analysis
c. Scatter plot analysis
d. Principal Component Analysis
Answer: b. Logical analysisaudit
Data quality audits often focus on which three standards?
a. Accuracy, completeness, validity
b. Privacy, size, speed
c. Encryption, hashing, masking
d. Redundancy, cost, performance
Answer: a. Accuracy, completeness, validitymontecarlodata+1
A data audit trail logs:
a. System updates
b. Changes and access to data
c. Data file downloads
d. Software installations
Answer: b. Changes and access to datasatoricyber+1
Which principle should guide the choice of data audit tools?
a. Lowest cost
b. Alignment with organizational goals
c. Most downloads
d. Open source only
Answer: b. Alignment with organizational goalssolvexia
What is the benefit of engaging multiple departments in a data audit?
a. Faster audits
b. Holistic assessment and understanding
c. Lower costs
d. Automation
Answer: b. Holistic assessment and understandingegnyte+1
Which is NOT a direct result of proper data auditing?
a. Improved data quality
b. Stronger data governance
c. Enhanced predictive model accuracy
d. Larger data volume
Answer: d. Larger data volumenexla+1
Data audits typically assess which of these elements for compliance?
a. Data visualization tools
b. Access rights, storage, usage
c. Data science job roles
d. Hardware brands
Answer: b. Access rights, storage, usagesatoricyber+1
Which audit type specifically checks IT infrastructure supporting data?
a. Compliance audit
b. Financial audit
c. IT audit
d. Personnel audit
Answer: c. IT auditsolvexia
Which step of a data audit evaluates backup policies and disaster recovery plans?
a. Data identification
b. Security evaluation
c. Quality assessment
d. Reporting
Answer: b. Security evaluationdigitalguardian+1
In audit reporting, what is vital to enhance future data management strategies?
a. Automation
b. Documentation of findings and recommendations
c. Hardware upgrades
d. Visualization charts
Answer: b. Documentation of findings and recommendationsdigitalguardian+1
What often triggers a specialized data audit?
a. Routine business review
b. Regulatory change or major system implementation
c. Weekly report
d. Employee promotion
Answer: b. Regulatory change or major system implementationwolterskluwer+1
Which tool can monitor user access to sensitive data as a part of an audit?
a. Log management tool
b. Email client
c. Visualization library
d. Spreadsheet
Answer: a. Log management toolsatoricyber+1
The process of ensuring audit recommendations are followed is:
a. Data visualization
b. Audit follow-up
c. Encryption
d. Cluster analysis
Answer: b. Audit follow-updigitalguardian
When should data audits be conducted?
a. Once at project start
b. Regularly and after changes
c. Only after data breaches
d. During visualization
Answer: b. Regularly and after changesmontecarlodata+1
What does “ratio analysis” provide in a data audit?
a. Comparison of key metrics
b. Encryption of sensitive attributes
c. Visualization only
d. Modeling performance
Answer: a. Comparison of key metricsaudit
What is the “feature discovery” stage used for in audits?
a. Data validation
b. Unknown pattern and anomaly detection
c. Model training
d. Plotting graphs
Answer: b. Unknown pattern and anomaly detectionaudit
What aspect do financial audits concentrate on in a data context?
a. Encryption
b. Accuracy of financial records
c. Visualization dashboard
d. Data labeling
Answer: b. Accuracy of financial recordssolvexia
A strong data audit policy should prioritize:
a. Frequent hardware upgrades
b. Data quality standards and processes
c. Social media integration
d. Visualization tools
Answer: b. Data quality standards and processesprophecy+1
What is the role of continuous improvement in the audit cycle?
a. Omit repeated audits
b. Use findings to enhance data practices
c. Reduce dataset size
d. Train models
Answer: b. Use findings to enhance data practicesmontecarlodata+1
Data audit findings should provide:
a. No actionable steps
b. Actionable recommendations and next steps
c. Data tables only
d. Anonymized data sets
Answer: b. Actionable recommendations and next stepsdigitalguardian
What helps make the data audit process repeatable and scalable?
a. Predefined checklists and templates
b. Manual entry only
c. Random process selection
d. Ignore documentation
Answer: a. Predefined checklists and templatesprophecy+1
Which is NOT a standard metric assessed in a data audit?
a. Completeness
b. Accuracy
c. Storage vendor evaluation
d. Consistency
Answer: c. Storage vendor evaluationsolvexia+1
The step where findings are shared with stakeholders is called:
a. Data cleaning
b. Audit reporting
c. Data aggregation
d. Indexing
Answer: b. Audit reportingdigitalguardian+1
Which analysis can help identify periods of abnormal data changes?
a. Structural analysis
b. Trend analysis
c. Histogram plotting
d. Data blending
Answer: b. Trend analysisaudit
Which is a cornerstone of trusted data-driven decision-making?
a. Frequent visualizations
b. Reliable and regularly audited data
c. Open source software
d. More staff
Answer: b. Reliable and regularly audited dataprophecy+1
What does an operational audit in data science examine?
a. Regulatory compliance only
b. Efficiency and effectiveness of data processes
c. Data encryption only
d. Model performance
Answer: b. Efficiency and effectiveness of data processessolvexia
Which statement best describes the ultimate objective of a data audit?
a. Improve decision-making with high-quality data
b. Create data lakes
c. Visualize data only
d. Encrypt data files
Answer: a. Improve decision-making with high-quality datamontecarlodata+2

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