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Sample ICCP CDP Practice Questions
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1In the DAMA-DMBOK2 framework, which knowledge area is depicted at the center of the DAMA Wheel because it provides direction and oversight for all other data management activities?
A.Data Architecture
B.Metadata Management
C.Data Governance
D.Data Quality
Explanation: DAMA-DMBOK2 places Data Governance at the center of the DAMA Wheel. It is the exercise of authority and control over the management of data assets and coordinates the other ten knowledge areas, providing the planning, oversight, and enforcement that the rest of data management depends on.
2A Data Steward in a data governance program is BEST described as someone who is accountable for which of the following?
A.Purchasing and configuring all database servers
B.The day-to-day management and quality of specific data assets on behalf of the organization
C.Writing all ETL code that moves data between systems
D.Approving the corporate marketing budget
Explanation: In DAMA-DMBOK2, a Data Steward is accountable for managing data assets and ensuring their quality, definitions, and appropriate use on behalf of stakeholders. Stewardship is a business-oriented role focused on caretaking data, not infrastructure procurement or coding.
3Which governance body is typically responsible for setting enterprise-wide data policy, resolving escalated issues, and providing executive sponsorship for the data governance program?
A.The help desk
B.The physical security team
C.The accounts payable department
D.The Data Governance Council (or steering committee)
Explanation: DAMA-DMBOK2 describes a Data Governance Council (sometimes a steering committee) as the primary governance body that approves policies and standards, prioritizes initiatives, and resolves escalated issues. It provides the executive authority that legitimizes governance decisions.
4DAMA-DMBOK2 distinguishes between data governance and data management. Which statement best captures that distinction?
A.Governance and management are identical terms used interchangeably
B.Governance is the exercise of authority and decision-making; management is the execution of plans to deliver data products and services
C.Management sets policy while governance writes code
D.Governance only applies to unstructured data
Explanation: In DAMA-DMBOK2, governance is about decision rights and accountabilities — who can make what decisions about data and how. Data management is the execution: the planning and operational work to deliver and control data. Governance directs; management does.
5An organization wants to formally classify data based on sensitivity (e.g., Public, Internal, Confidential, Restricted) so that handling rules can be applied. This activity is MOST directly an output of which governance practice?
A.Index tuning
B.Data classification within data governance and security policy
C.Disk defragmentation
D.Network cabling design
Explanation: Defining sensitivity tiers and the rules for handling each tier is a data classification activity that lives at the intersection of data governance and data security. Classifications drive downstream access controls, masking, and retention decisions.
6Treating data as a strategic asset that has measurable value and should appear in organizational decision-making is the principle underlying which discipline?
A.Tape backup scheduling
B.Spreadsheet formatting
C.Data governance and data asset valuation
D.Email archiving
Explanation: A foundational DAMA-DMBOK2 principle is that data is an enterprise asset with value, requiring management and governance like any other asset. Data asset valuation and the asset mindset are core to justifying governance investment.
7Which document type formally states the organization's high-level intent and rules regarding data (e.g., 'all customer PII must be encrypted at rest'), serving as the basis for more detailed standards and procedures?
A.A SQL query plan
B.A data policy
C.A server warranty
D.A UI wireframe
Explanation: A data policy is a high-level statement of intent and mandatory rules about data. DAMA-DMBOK2 positions policies above standards (which specify how) and procedures (step-by-step instructions). Policies provide the authority that standards and procedures implement.
8A regulation requires the organization to demonstrate the lineage and authorized use of personal data. Within governance, which capability most directly supports proving where data came from and how it is permitted to be used?
A.Random number generation
B.CPU overclocking
C.Data lineage and metadata-supported governance
D.Logo redesign
Explanation: Data lineage, captured through metadata, traces data from origin through transformations to consumption. Combined with governance policies on authorized use, lineage lets the organization demonstrate provenance and compliance to regulators.
9Which of the following best describes the relationship between a Data Owner and a Data Steward in many governance models?
A.The Data Steward outranks and supervises the Data Owner
B.Both terms refer exclusively to database administrators
C.Neither role has any business involvement
D.The Data Owner has accountability and decision authority for a data domain, while the Data Steward carries out day-to-day stewardship on the owner's behalf
Explanation: Typically a Data Owner is a senior, accountable decision-maker for a data domain who sets priorities and approves access, while the Data Steward executes the operational stewardship — defining terms, monitoring quality, and coordinating issue resolution on the owner's behalf.
10An organization is measuring the maturity of its data management practices using a model with levels such as Initial, Repeatable, Defined, Managed, and Optimized. This is an application of what?
A.A relational join algorithm
B.A color contrast standard
C.A data management maturity assessment model
D.A firewall rule set
Explanation: Maturity models (such as the DMM or CMMI-style scales) rate data management capabilities across levels from ad hoc to optimized. DAMA-DMBOK2 endorses maturity assessment to identify gaps and build a roadmap for improving governance and management practices.
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