Certified Data Steward (CDS) — Questions and Answers
Question 1: What term describes a hierarchical arrangement of categories used to systematically organize data?
- Data lineage
- Data provenance
- Data dictionary
- Data taxonomy (Correct answer)
Correct answer: Data taxonomy
A data taxonomy is a hierarchical classification system that organizes data into structured categories and subcategories, similar to how biological species are classified.
Question 2: Which monitoring technique compares today's record count against the trailing 30-day average to detect anomalies?
- Referential integrity checking
- Volume-based trend monitoring (Correct answer)
- Format validation scanning
- Schema drift detection
Correct answer: Volume-based trend monitoring
Volume-based trend monitoring uses historical averages as a baseline to flag unusual spikes or drops in record counts.
Question 3: What is 'data obsolescence' in the context of lifecycle management?
- Data that exceeds the storage system's capacity limits
- Data that has been encrypted with an outdated algorithm
- Data stored in a deprecated file format
- Data that is no longer accurate, relevant, or useful for its original purpose (Correct answer)
Correct answer: Data that is no longer accurate, relevant, or useful for its original purpose
Data obsolescence refers to data that has lost its business value or accuracy over time and should be evaluated for archiving or disposal.
Question 4: In a data governance change management program, what is the primary purpose of a RACI matrix?
- To map data flows between source and target systems
- To rank data quality issues by severity
- To schedule data backups across teams
- To clarify roles by defining who is Responsible, Accountable, Consulted, and Informed for each activity (Correct answer)
Correct answer: To clarify roles by defining who is Responsible, Accountable, Consulted, and Informed for each activity
A RACI matrix eliminates ambiguity by explicitly assigning responsibility, accountability, consultation, and information rights for every governance activity.
Question 5: What is the relationship between master data and transactional data?
- Master data is deleted after each transaction
- They are the same type of data
- Master data supports and contextualizes transactional data (Correct answer)
- Transactional data overrides master data
Correct answer: Master data supports and contextualizes transactional data
Master data and transactional data have a fundamental relationship where master data provides the context for transactional data. Transactional data describes events or activities (e.g., a sale, a payment) and typically references master data entities (e.g., which customer bought which product). Thus, master data supports and contextualizes these transactions, ensuring their accuracy and meaningful interpretation.
Question 6: Which U.S. law protects health information privacy?
- GDPR
- HIPAA (Correct answer)
- PCI DSS
- CAN-SPAM
Correct answer: HIPAA
The Health Insurance Portability and Accountability Act (HIPAA) is a U.S. federal law that establishes national standards to protect sensitive patient health information. It mandates strict rules for healthcare providers, health plans, and healthcare clearinghouses regarding the privacy and security of Protected Health Information (PHI). HIPAA ensures individuals' rights over their health data and sets penalties for violations.
Question 7: Which change management model is widely used to guide organizations through structured transitions, including data governance implementations?
- ITIL v4
- Six Sigma DMAIC
- Kotter's 8-Step Change Model (Correct answer)
- Scrum framework
Correct answer: Kotter's 8-Step Change Model
Kotter's 8-Step Model provides a structured approach to organizational change, covering urgency creation, coalition building, vision, and anchoring new behaviors.
Question 8: A data steward is asked to evaluate metadata completeness for a new dataset. Which dimension should they assess first?
- Whether the dataset's file size is documented
- Whether the dataset has a physical index
- Whether required metadata fields (owner, definition, classification) are populated (Correct answer)
- Whether the dataset is stored in columnar format
Correct answer: Whether required metadata fields (owner, definition, classification) are populated
Metadata completeness is measured by whether mandatory fields—such as owner, business definition, sensitivity classification—are populated.
Question 9: Which metric expresses the proportion of records that pass all applicable data quality rules?
- Mean time to detect (MTTD)
- Record rejection ratio
- Data error rate
- Data quality score (DQ score) (Correct answer)
Correct answer: Data quality score (DQ score)
A DQ score (often expressed as a percentage) is calculated as the ratio of conforming records to total records across one or more quality dimensions.
Question 10: Which storage tier is most appropriate for data that is rarely accessed but must be retained for 7+ years for regulatory compliance?
- Hot storage (SSD-backed)
- Warm storage (standard HDD)
- In-memory cache
- Cold/archival storage (tape or deep archive) (Correct answer)
Correct answer: Cold/archival storage (tape or deep archive)
Cold or archival storage tiers offer the lowest cost for infrequently accessed data retained solely for compliance over long periods.
Question 11: During a data migration project, what is the primary purpose of running data quality checks BEFORE migration begins?
- To satisfy regulatory audit requirements for the migration project
- To prove the source system has no bugs before decommissioning
- To reduce the number of transformation rules required in the ETL
- To establish a baseline and prevent inheriting existing defects in the target system (Correct answer)
Correct answer: To establish a baseline and prevent inheriting existing defects in the target system
Pre-migration DQ checks establish a baseline of existing defects and allow remediation before those defects are replicated and potentially amplified in the new target environment.
Question 12: What is the principle of least privilege?
- Removing all access until requested
- Granting users only the minimum access necessary to perform their duties (Correct answer)
- Restricting access only for external users
- Giving all users administrator access for convenience
Correct answer: Granting users only the minimum access necessary to perform their duties
The principle of least privilege limits access to the minimum necessary for job functions, reducing the attack surface and potential impact of compromised accounts.
Question 13: Why is metadata important in data governance?
- It enables data visualization.
- It replaces data backups.
- It hides data from users.
- It enhances data understanding and traceability (Correct answer)
Correct answer: It enhances data understanding and traceability
Metadata, often described as 'data about data,' is crucial in data governance because it provides context, definitions, and lineage for data assets. It helps users understand what data means, where it originated, how it's transformed, and its quality. This enhanced understanding and traceability are vital for effective data management, analysis, and compliance.
Question 14: What should be included in every automation script?
- Comments explaining every line of code
- A graphical user interface
- Error handling, logging, and clear documentation of purpose (Correct answer)
- Only the core functionality
Correct answer: Error handling, logging, and clear documentation of purpose
Error handling, logging, and documentation ensure automation scripts are reliable, debuggable, and maintainable by current and future team members.
Question 15: How should a root cause analysis be conducted?
- Only analyze problems that recur three or more times
- Assign blame to the responsible party
- Fix the immediate symptom and close the ticket
- Systematically investigate underlying causes rather than just symptoms (Correct answer)
Correct answer: Systematically investigate underlying causes rather than just symptoms
Root cause analysis investigates underlying causes systematically, preventing recurrence rather than just addressing symptoms temporarily.
Question 16: Why is regular security training important for all staff?
- It is only required annually for compliance
- Employees are often the weakest link in security and training reduces human error (Correct answer)
- It is only needed for IT staff
- It replaces the need for technical security controls
Correct answer: Employees are often the weakest link in security and training reduces human error
Regular security training reduces human error, the most common cause of security breaches, by keeping all staff aware of current threats and proper procedures.
Question 17: A business rule states that every order must have a corresponding customer record. Which data quality dimension is violated when orphan orders exist?
- Accuracy
- Timeliness
- Consistency
- Integrity (Correct answer)
Correct answer: Integrity
Referential integrity violations — where child records exist without a valid parent — represent a failure of the Integrity dimension.
Question 18: Which scenario most clearly demonstrates metadata-driven data governance?
- A DBA sets column-level permissions by reviewing each table individually
- Access control policies are automatically enforced based on dataset sensitivity classification tags in the metadata (Correct answer)
- A BI team manually documents all report fields in a shared spreadsheet each quarter
- Data quality rules are hard-coded in ETL stored procedures
Correct answer: Access control policies are automatically enforced based on dataset sensitivity classification tags in the metadata
Metadata-driven governance uses classification and other metadata attributes to automatically trigger and enforce policies without manual intervention.
Question 19: In data sensitivity classification, what does PII stand for?
- Private Information Index
- Primary Identification Input
- Personally Identifiable Information (Correct answer)
- Protected Internal Infrastructure
Correct answer: Personally Identifiable Information
PII stands for Personally Identifiable Information, which is any data that can be used to identify a specific individual, such as name, Social Security number, or email address.
Question 20: What does 'data freshness' mean in the context of monitoring dashboards?
- The rate at which new columns are added to source tables
- How recently the data underlying the dashboard was updated (Correct answer)
- The speed at which users can interact with report filters
- The visual design modernity of the dashboard interface
Correct answer: How recently the data underlying the dashboard was updated
Data freshness measures the time elapsed since the data was last refreshed, indicating whether the dashboard reflects current reality.
Question 21: What role does a data steward play in the end-of-life stage of the data lifecycle?
- Ensuring data is disposed of per retention schedules, legal holds, and disposal procedures (Correct answer)
- Encrypting the data before transfer to a new owner
- Designing the database schema for the replacement system
- Rebuilding the dataset from raw source logs
Correct answer: Ensuring data is disposed of per retention schedules, legal holds, and disposal procedures
At end-of-life, the data steward coordinates compliant disposal including checking for legal holds, obtaining destruction certificates, and updating the asset register.
Question 22: What is the primary purpose of data classification in data stewardship?
- To duplicate data across multiple backup systems
- To assign sensitivity levels and categories to data assets for proper handling (Correct answer)
- To organize data assets by their creation date
- To delete obsolete data records on a schedule
Correct answer: To assign sensitivity levels and categories to data assets for proper handling
Data classification assigns sensitivity levels and categories to data assets so they can be protected, managed, and handled in accordance with governance policies.
Question 23: When building a business glossary, which practice BEST ensures long-term adoption across departments?
- Having the IT team define all terms unilaterally and publishing them to a portal
- Engaging business stakeholders to co-author definitions with formal SME review and approval (Correct answer)
- Importing term definitions automatically from a third-party data dictionary vendor
- Restricting editing rights to only the Chief Data Officer
Correct answer: Engaging business stakeholders to co-author definitions with formal SME review and approval
Co-authorship with subject matter experts and formal approval cycles ensures definitions reflect actual business usage and earn trust across departments.
Question 24: What is the primary goal of data governance?
- To collect as much data as possible.
- To ensure proper management and usage of data (Correct answer)
- To store data without policies.
- To outsource all data functions.
Correct answer: To ensure proper management and usage of data
The primary goal of data governance is to establish a comprehensive framework for managing data assets throughout their lifecycle. This involves defining policies, processes, and responsibilities to ensure data quality, security, usability, and integrity. It aims to optimize data's value to the organization while ensuring compliance.
Question 25: What is the primary purpose of security auditing?
- To justify security spending
- To create busy work for the security team
- To identify vulnerabilities and verify compliance with security policies (Correct answer)
- To find reasons to terminate employees
Correct answer: To identify vulnerabilities and verify compliance with security policies
Security auditing identifies vulnerabilities, verifies policy compliance, and provides evidence of due diligence in protecting organizational assets.
Question 26: What role does a Data Protection Officer (DPO) play?
- Designs marketing strategies.
- Manages social media campaigns.
- Handles payroll.
- Ensures compliance with data protection laws (Correct answer)
Correct answer: Ensures compliance with data protection laws
A Data Protection Officer (DPO) is a designated role, often mandated by regulations like GDPR, responsible for overseeing an organization's data protection strategy and ensuring compliance with data protection laws. The DPO acts as an independent advisor, monitoring internal compliance, informing and advising on data protection obligations, and serving as a contact point for supervisory authorities and data subjects.
Question 27: Which approach to data classification uses automated scanning tools that inspect content and assign categories based on predefined patterns or keywords?
- Manual classification
- User-driven classification
- Content-based classification (Correct answer)
- Policy-only classification
Correct answer: Content-based classification
Content-based classification uses automated tools to scan data content and apply category labels based on pattern matching, keywords, or regular expressions found within the data itself.
Question 28: Why is post-implementation review important?
- It delays the next project
- It is only required by auditors
- It is optional if the implementation was successful
- It identifies lessons learned and confirms objectives were met (Correct answer)
Correct answer: It identifies lessons learned and confirms objectives were met
Post-implementation reviews confirm that objectives were met, identify areas for improvement, and capture lessons learned for future projects.
Question 29: What is the 80/20 rule as applied to performance optimization?
- Spend 80% of time optimizing and 20% testing
- Optimize 80% of components and ignore 20%
- Performance should be 80% of the project budget
- 80% of performance gains come from optimizing 20% of the code or configuration (Correct answer)
Correct answer: 80% of performance gains come from optimizing 20% of the code or configuration
The 80/20 rule (Pareto principle) in optimization means focusing on the critical 20% of areas that will yield 80% of performance improvements, maximizing efficiency.
Question 30: What is the difference between monitoring and observability?
- Monitoring tracks known metrics while observability enables investigation of unknown issues (Correct answer)
- Observability replaces the need for monitoring
- They are identical concepts
- Monitoring is for hardware, observability is for software
Correct answer: Monitoring tracks known metrics while observability enables investigation of unknown issues
Monitoring tracks predefined metrics, while observability provides the tooling and data to investigate unexpected or unknown issues through logs, traces, and metrics.
Question 31: What is metadata in the context of data management?
- The storage format of archived data
- The raw data used in reports
- Information about data such as its source, format, and usage (Correct answer)
- An advanced form of data encryption
Correct answer: Information about data such as its source, format, and usage
Metadata, in the context of data management, is essentially 'data about data.' It provides crucial descriptive information that helps users understand the characteristics, context, and usage of data. This includes details like data source, creation date, format, data types, relationships, and security classifications, making data more discoverable, understandable, and manageable.
Question 32: How should security incidents be handled?
- Fixing the issue and not reporting it
- Waiting to see if it happens again
- Following an established incident response plan with documentation (Correct answer)
- Blaming the affected user
Correct answer: Following an established incident response plan with documentation
Following an established incident response plan ensures consistent, effective handling while documentation supports analysis, compliance, and future prevention.
Certified Data Steward (CDS)
The Certified Data Steward (CDS) certification validates professional competency in data stewardship across 15 topic areas including data governance, data quality, metadata and master data management, architecture, automation, and regulatory compliance. Offered by eLearningCurve, it is recognized as an industry-standard credential formalizing the Data Steward role.
Exam Rules
- You can skip questions and return to them later
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- No feedback shown until you submit the entire exam
- Unanswered questions count as wrong — answer everything
- 10 pretest questions are mixed in and don't affect your score
- Timer auto-submits when time runs out
- Your progress is auto-saved every 30 seconds
These practice questions were written with AI tools. They are not real exam questions. Exam facts are checked against the official sources listed below. Not reviewed by a subject-matter expert. Editorial policy
Sources & references
Exam facts on this page (fees, format, dates, passing scores) are checked against these official sources; the date is our last check. Editorial policy
- ecm.elearningcurve.com — Eligibility, passing score, retake policy, test dates, score validity, test delivery, exam format, score release, time limit · verified Oct 2026