CDS Implementation & Configuration 2 — Questions and Answers
Question 1: When configuring a data catalog for enterprise use, which metadata type should be ingested FIRST to provide the broadest foundation for data discovery?
- Business glossary terms
- Technical metadata from source systems (Correct answer)
- Operational lineage logs
- User-defined custom attributes
Correct answer: Technical metadata from source systems
Technical metadata from source systems (schemas, tables, columns) must be ingested first because it forms the structural foundation on which business and operational metadata are layered.
Question 2: A data steward is configuring reference data synchronization between a CRM and an ERP. Which approach best prevents conflicts when both systems can update the same record?
- Last-write-wins with timestamp comparison
- Designating one system as the authoritative source per domain (Correct answer)
- Manual review of every conflict by the steward
- Disabling updates in one system entirely
Correct answer: Designating one system as the authoritative source per domain
Designating an authoritative (golden) source per domain ensures deterministic conflict resolution without manual overhead or data loss.
Question 3: Which configuration element in a Master Data Management (MDM) hub defines how records from different source systems are combined into a single golden record?
- Survivorship rules (Correct answer)
- Trust scores only
- Entity resolution threshold
- Data retention policy
Correct answer: Survivorship rules
Survivorship rules specify which source system's field values are preferred or how conflicts are resolved when creating a golden record.
Question 4: During a data governance tool implementation, the project team finds that business users resist entering metadata. What configuration change most directly addresses adoption friction?
- Make all metadata fields mandatory before save
- Integrate metadata entry into existing workflow tools users already use (Correct answer)
- Generate automated email reminders to stewards
- Reduce the number of governance tiers
Correct answer: Integrate metadata entry into existing workflow tools users already use
Embedding metadata capture within existing workflows (e.g., Jira, Confluence, or data pipelines) reduces context-switching and lowers resistance.
Question 5: A data stewardship team is implementing data classification labels. Which step must precede assigning sensitivity labels to datasets?
- Publishing the labels to the data catalog
- Defining the classification taxonomy and criteria (Correct answer)
- Training end users on label meaning
- Configuring access control lists
Correct answer: Defining the classification taxonomy and criteria
The classification taxonomy (e.g., Public, Internal, Confidential, Restricted) and its criteria must be formally defined before any dataset can be consistently labeled.
Question 6: When setting up automated data quality rules in a governance platform, what is the primary purpose of configuring a 'threshold' for each rule?
- To limit the number of records scanned per run
- To define the acceptable failure rate before an alert is triggered (Correct answer)
- To set the schedule frequency of quality checks
- To determine which users can view quality scores
Correct answer: To define the acceptable failure rate before an alert is triggered
A threshold defines the acceptable pass/fail percentage; breaching it triggers alerts or workflow actions for remediation.
Question 7: In a role-based access control (RBAC) configuration within a data governance platform, what distinguishes a 'data steward' role from a 'data owner' role?
- Stewards have read-only access; owners have full admin rights
- Stewards manage day-to-day data quality and metadata; owners hold accountability and approve policy changes (Correct answer)
- Stewards can delete datasets; owners cannot
- Stewards are IT staff; owners are always from the business unit
Correct answer: Stewards manage day-to-day data quality and metadata; owners hold accountability and approve policy changes
Data stewards handle operational governance tasks (quality, metadata), while data owners are accountable for strategic decisions and policy approvals.
When configuring a data catalog for enterprise use, which metadata type should be ingested FIRST to provide the broadest foundation for data discovery?