Chapter 1 Question Bank — Practice
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Questions 1–10
C1-001 — Which statement best captures DAMA's Chapter 1 definition of Data Management?
A. Developing, executing, and supervising plans, policies, programs, and practices that deliver, control, protect, and enhance data/information value across lifecycles
B. Establishing decision rights and stewardship roles for enterprise data
C. Transforming raw data into reports for business decision-making
D. Operating databases and storage platforms so they remain available
C1-002 — What is the primary business driver for Data Management in Chapter 1?
A. Centralize all data physically
B. Enable organizations to obtain value from data assets
C. Eliminate business involvement in technology decisions
D. Standardize every data element everywhere
C1-003 — Which is NOT listed as a Chapter 1 Data Management goal?
A. Privacy/confidentiality
B. Prevent unauthorized/inappropriate use
C. Eliminate all duplicate data regardless of purpose
D. Ensure Data Quality
C1-004 — Why does Chapter 1 emphasize data as representation rather than simply “truth”?
A. Only unstructured data needs definitions
B. Business data has no meaning until monetized
C. Data is always inaccurate until Steward review
D. People choose how concepts are represented, so context and conventions are needed
C1-005 — customer_status = A. Which item is most clearly Metadata?
A. Definition saying A means Active customer with current contractual relationship
B. Customer invoice
C. Value A for one customer
D. Customer record containing the field
C1-006 — Which statement best reflects Chapter 1's treatment of data and information?
A. Information always comes from data without prior knowledge
B. They are intertwined; organizations may distinguish them for communication, but DMBOK often uses them interchangeably
C. Data is physical, information conceptual
D. They are permanently separate layers
C1-007 — Which property most clearly distinguishes data from many physical assets?
A. It can produce value
B. It must be maintained
C. It is not consumed by use and many people can use it simultaneously
D. It can be lost
C1-008 — Which approach best reflects the principle about expressing data value economically?
A. Same market value for every dataset
B. Storage cost only
C. Avoid financial discussion because data cannot be valued
D. Use a consistent internal method comparing costs of poor quality with benefits of improvement
C1-009 — A dataset is secure and documented but too inaccurate for the business process. Which principle is most directly violated?
A. Managing data means managing Data Quality
B. Account for a range of perspectives
C. Data is an asset with unique properties
D. Leadership commitment
C1-010 — An organization cannot explain critical field meaning, origin, movement or allowed use. Which principle?
A. Cross-functional
B. It takes Metadata to manage data
C. Different data types have different lifecycle characteristics
D. Data must be monetized
Questions 11–20
C1-011 — Which action best demonstrates “It takes planning to manage data”?
A. Independent conflicting department definitions
B. Select storage solely on vendor popularity
C. Design a customer system while considering downstream flows, quality, architecture and future use
D. Wait for production problems before deciding representation
C1-012 — Why is Data Management cross-functional?
A. Governance should be eliminated
B. Data can only be outsourced
C. Everyone must be a DBA
D. One team cannot supply all technical, business, analytical, semantic and strategic skills across the lifecycle
C1-013 — Three departments use different definitions of product. Which principle is most relevant?
A. Enterprise perspective
B. Data is consumed when used
C. Only technology matters
D. Data should never be shared
C1-014 — Which statement best reflects the lifecycle principle?
A. Focus only on creation
B. Different data types can have different lifecycle characteristics/requirements
C. Lifecycle = SDLC
D. All data gets identical lifecycle controls
C1-015 — Why does managing data include managing risk?
A. All data must be highly confidential
B. Data creates only risk, never value
C. Data can be lost, stolen, misused, misunderstood or cause harm through poor quality/inappropriate use
D. Risk replaces Quality and Security
C1-016 — A CIO wants a fashionable technology before any business-aligned data requirement exists. Strongest rebuttal?
A. IT strategy always overrides business strategy
B. Metadata removes technology decisions
C. Store all data in one technology
D. Data Management requirements must drive IT decisions
C1-017 — Which combination best reflects why data differs from physical assets?
A. Intangible, easily copied, reusable, can be stolen without disappearing
B. Scarce, perishable, one location
C. One user at a time
D. Universal market price
C1-018 — Which is a reasonable internal valuation factor?
A. Number of rows only
B. Cost of replacing data if lost
C. Original software price only
D. Universal DAMA price per GB
C1-019 — Example of hidden/indirect poor-Data-Quality cost?
A. Governance Council meets quarterly
B. Backup succeeds
C. Employees create workarounds and correct records before real work
D. Buy server for capacity
C1-020 — Which planning mindset does Chapter 1 encourage?
A. Optimize only immediate departmental needs
B. Separate data design from business strategy
C. Treat data as by-product after systems are complete
D. Treat data as an intentionally created product and plan across processes, systems, architecture and strategy
Questions 21–30
C1-021 — Almost no shared definitions, lineage, classifications or knowledge of critical-data location. Most relevant observation?
A. Metadata management can be a useful starting point for broader improvement
B. Defer Metadata until all other KAs mature
C. Metadata only matters to DBAs
D. Metadata is not data
C1-022 — Why is enterprise perspective especially important across departments?
A. Only executives can use shared data
B. Data moves horizontally across organizational verticals and local definitions can conflict
C. Departments cannot create local data
D. Enterprise data must live in one database
C1-023 — A team designs only for today's internal process and ignores downstream reuse, external data, law and misuse. Which challenge?
A. Data should never be reused
B. Lifecycle ends at first use
C. Accounting for other perspectives
D. Data can only be represented one way
C1-024 — Analyst traces KPI source transactions through transformations to dashboard. Primary concept?
A. Valuation
B. Stewardship
C. Lifecycle
D. Lineage
C1-025 — Correct lifecycle vs SDLC distinction?
A. Lifecycle follows data; SDLC organizes system/solution development
B. SDLC only covers disposal
C. Lifecycle only applies to unstructured data
D. Same process
C1-026 — Which control is expected throughout the lifecycle?
A. Report formatting only
B. Data Security
C. Data creation approval only
D. Storage capacity only
C1-027 — Cannot afford intensive governance/quality monitoring for every dataset. Recommendation?
A. Stop collecting Metadata
B. Manage all data equally
C. Focus on critical data and minimize ROT
D. Delete all data after first use
C1-028 — Why classify data?
A. Eliminate need for Governance
B. Only Master Data has value
C. Every type needs identical controls
D. Different types have different risks, roles and lifecycle requirements
C1-029 — “Information gap” means:
A. Difference between what is known and what is needed for an effective decision
B. Missing data dictionary only
C. Backup interval
D. Network outage
C1-030 — Strongest signal of the leadership problem in Section 2.5.13?
A. Team documents a definition
B. Executives call data an asset but cannot identify critical data, lack strategy and underestimate management work
C. DBA asks for disk
D. Analyst creates temporary query
Questions 31–40
C1-031 — Data strategy should be derived primarily from:
A. Current schema only
B. Regulation only
C. Business strategy and inherent data needs
D. New platform feature list
C1-032 — Best description of Data Management Program Strategy?
A. One migration schedule
B. Report inventory
C. Business use of information without management considerations
D. Supporting plan for quality, integrity, access, security and risk so data strategy can be executed
C1-033 — Vision, business case, goals, principles, success measures, risks and operating model. Which deliverable?
A. Charter
B. Scope Statement
C. Roadmap
D. Context Diagram
C1-034 — Three-year objectives plus accountable roles/organizations/leaders. Which deliverable?
A. Charter
B. Scope Statement
C. Roadmap
D. Hexagon
C1-035 — Programs, projects, task assignments and milestones. Which deliverable?
A. Charter
B. Scope
C. Implementation Roadmap
D. DQ scorecard
C1-036 — Why multiple Data Management frameworks?
A. They contradict and one is correct
B. Only visual learners need them
C. DAMA mandates exact implementation of all diagrams
D. Different abstractions provide lenses for alignment, organization, dependencies, strategy and application
C1-037 — Four domains: Business Strategy, IT Strategy, Organizational Infrastructure/Processes, IT Infrastructure/Processes. Which framework?
A. SAM
B. Context Diagram
C. Aiken Pyramid
D. Wheel
C1-038 — What most distinguishes AIM?
A. Analytics maturity pyramid
B. 9-cell Business/Information/IT across Strategy/Tactics/Operations
C. 11 KAs around Governance
D. P-C-D-O
C1-039 — DAMA Wheel's primary purpose?
A. Project schedule
B. Economic valuation
C. Show 11 KAs and Governance at center
D. Detailed one-KA inputs/outputs
C1-040 — What is at the center of the Environmental Factors Hexagon?
A. Data Governance
B. Metrics
C. Business Strategy
D. Goals and Principles
Questions 41–53
C1-041 — Inputs/Suppliers left, Activities center, Deliverables/Consumers right, plus Participants/Tools/Techniques/Metrics. Which framework?
A. Knowledge Area Context Diagram
B. Wheel
C. Aiken Pyramid
D. SAM
C1-042 — Which activity classification is correctly matched?
A. Plan = production support
B. Control = assure ongoing quality, integrity, reliability and security
C. Develop = set direction only
D. Operate = analyze/design/build/test/deploy
C1-043 — People who perform, manage or approve activities are:
A. Metrics
B. Suppliers
C. Participants
D. Consumers
C1-044 — Deliverables in a Context Diagram are:
A. People receiving reports
B. Always software tools
C. Identical to techniques
D. Tangible outputs of activities that may become inputs elsewhere
C1-045 — Most important caution about Aiken Pyramid?
A. It is a progression/dependency lens; real organizations may build capabilities in imperfect/arbitrary order
B. It replaces the Wheel
C. Governance is always last
D. Every organization follows exact same order
C1-046 — Advanced analytics desired but Quality, design, integration, systems and Governance are weak. Which view best emphasizes upstream dependencies?
A. Scope Statement
B. Functional Area Dependencies
C. Data vs Information
D. Valuation list
C1-047 — Which are foundational activities in the Data Management Function Framework?
A. Only Modeling/Architecture
B. Only policy/stewardship
C. Data risk management, Metadata and Data Quality
D. Only BI/Data Science
C1-048 — One role of DMBOK?
A. Mandate one technology stack
B. Replace organizational strategy
C. Focus only on DBA work
D. Common vocabulary/functional framework and fundamental CDMP reference
C1-049 — Which belongs to the common Knowledge Area chapter structure?
A. Relation to Data Governance
B. Quarterly financials
C. Vendor pricing comparisons
D. Employee reviews
C1-050 — Which KA focuses on movement/consolidation across stores, applications and organizations?
A. Document & Content
B. Data Integration & Interoperability
C. Data Quality
D. Data Governance
C1-051 — Which KA focuses on definitions, models, data flows and context needed to understand data/systems?
A. Storage & Operations
B. Architecture
C. Metadata Management
D. Reference & Master Data
C1-052 — Which KA measures, assesses and improves fitness for use?
A. Modeling & Design
B. Security
C. DW/BI
D. Data Quality
C1-053 — Why is Data Governance at the center of the DAMA Wheel?
A. It is required for consistency within and balance between Data Management functions
B. It replaces Quality and Metadata
C. Other KAs are optional
D. It performs every Data Management activity