CDO Data Quality Management 3

Question 1

What is the primary difference between data cleansing and data enrichment?

Accepted Answer

Cleansing corrects existing errors; enrichment adds new attributes to enhance data value

Answer

Cleansing adds data from external sources; enrichment removes duplicates

Answer

Cleansing is automated; enrichment always requires manual effort

Answer

Cleansing applies to structured data only; enrichment applies to unstructured data

Question 2

Which metric best demonstrates the financial impact of poor data quality when building a CDO business case for a data quality initiative?

Accepted Answer

Cost of bad data including failed transactions, regulatory fines, and rework costs

Answer

Number of data stewards hired

Answer

Storage costs for duplicate records

Answer

Time spent by IT on database maintenance

Question 3

Which approach to data quality management focuses on continuously monitoring data quality in production systems rather than periodic batch assessments?

Accepted Answer

Real-time data quality monitoring

Answer

Waterfall data quality assessment

Answer

Annual data audits

Answer

Point-in-time data snapshots

Question 4

What is the purpose of a data quality remediation workflow?

Accepted Answer

To define the process for investigating, correcting, and tracking resolution of data quality issues

Answer

To permanently delete records that fail quality checks

Answer

To automate the generation of data quality reports

Answer

To encrypt sensitive data fields that contain errors

Question 5

When defining data quality rules for a CDO certification program, which approach best ensures rules are aligned with business outcomes?

Accepted Answer

Collaborating with business stakeholders to define rules that reflect actual business impact

Answer

Having IT staff define all quality rules based on technical schema constraints

Answer

Using only industry-standard thresholds without customization

Answer

Applying the same rules across all data domains regardless of use case

Question 6

Sales reports generated from two different systems show different revenue figures for the same time period. Which data quality issue does this most likely represent?

Accepted Answer

Data inconsistency

Answer

Data incompleteness

Answer

Data inaccuracy

Answer

Data staleness

Question 7

Which governance mechanism best establishes formal accountability for data quality outcomes at the business executive level rather than IT?

Accepted Answer

Assigning data quality ownership to business domain executives

Answer

Data Quality Help Desk ticketing system

Answer

IT Service Management (ITSM) escalation paths

Answer

Automated quality gate enforcement in pipelines