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Test your basic knowledge |
DMBOK
Start Test
Study First
Subjects
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certifications
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dmbok
Instructions:
Answer 50 questions in 15 minutes.
If you are not ready to take this test, you can
study here
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Match each statement with the correct term.
Don't refresh. All questions and answers are randomly picked and ordered every time you load a test.
This is a study tool. The 3 wrong answers for each question are randomly chosen from answers to other questions. So, you might find at times the answers obvious, but you will see it re-enforces your understanding as you take the test each time.
1. Ongoing Reconciliation and Maintenance of reference and master data.
Knowledge management
Data Management Synonyms
Reference and Master Data Management
Data Quality Dimensions
2. Policies - Procedures - Standards - Issues - Projects - Services - Quality Data and Info - Recognized Data Value
Data Management Functions
Data Governance Deliverables (PPS IP SQV)
Ten Functions of Data Management
Data Implementation
3. PPPDMA Plan - assess scope of known issues - Deploy - profile the data - and employ inspections and monitors - Monitor - actively monitor data quality against defined business rules - Act - Take action to address and resolve emerging issues
Semantic Modeling
Common Activity Groups for DM Functions (PDCO)
Data Quality Management lifecycle
Data Policies
4. Governance coordination - Architecture definition and coordination - Information requirements analysis - data modeling facilitation - data quality analysis - traditional db design - implementation - production support services.
Kimball key components
Party master data
Common Activity Groups for DM Functions (PDCO)
Data Management Services(GAR MQD IP)
5. Establishment and maintenance of Relationships between master data records.
Master Data Management
Data Quality Dimensions
Affiliation Relationship
The PE - PPP - ACPDEV - DIA Data Management Acronym
6. Modeling and design standards
MOLAP
DMBOK Recurring Themes
Data Model/Design quality management
Data Access Services
7. Document mgt- not concerned with insides of the file. - Content mgt - looks at inside of file and tries to identify the content.
MOLAP
Master Data
Document vs. Content
Affiliation Relationship
8. High level perspective on a subject area of importance to the business.
Guiding Principles of data management
Product master data
Document Mgt.Functions
Conceptual Data Models
9. Resources with recognized valued under the control of an individual or organization. Data and information are enterprise assets.
Non-strategic goals of data management
HOLAP
Asset
Master Data Management
10. Data about the business entities that provide context for busines stransactions. e.g. Parties - Products - Financial Structures - Locations
Data Management
Master Data
Data Security Management (PDE PP AAAA)
Taxonomies - 4 types
11. Formal accountability for business responsibilities ensuring effective control and use of data assets.
Data Quality Management lifecycle
Data Ops Mgt - Guiding Principles
Inmon ODS - DW - DM distinction
Data Stewardship
12. 1. Modeling - Analysis - Design (Reqts - Conc - Log - Phys Models) 2. Detailed Data Design (Phys DBs - Info Products - Access - Integration Services) 3. Quality Management (Modeling/Design Standards - Review Models - Versioning/Integration of Models)
Data Development Activities (MDQI)
Data Management Functions
DM Function Context Diagram overview (DG - ISP - T - DCM)
Data governance programScope elements
13. Location REFERENCE data includes geopolitical data - countries - states - provinces - counties...Location MASTER data includes business party addresses - geographic positioning coordinates - etc.
Document
Data Policies
Reference Data - Examples
Location master data
14. DB implementation and change management - Test Data creation - Data migration/conversion programs - User training - Documentation
HOLAP
Data Quality Management Functions
Data Implementation
Conceptual Data Models
15. SIC - Storage - Inventory - and Control of EPD - Electronic and Paper Documents.
Document Management
Master Data Management
Data Governance Deliverables (PPS IP SQV)
Document Mgt.Functions
16. Planning - set strategic and tactical course for other activities - Development - undertaken within implementation projects and recognized as part of SDLC - Control - Supervisory activities - Operational - Service and support activities
Common Activity Groups for DM Functions (PDCO)
Data
Data Quality expectations
The PE - PPP - ACPDEV - DIA Data Management Acronym
17. Shared between Data Management Professionals in IT - and Business Data Stewards.
Examples of individual roles participating in Data Mgt
Data Management Shared responsibility
Content Mgt Functions
Data Lifecycle Simple
18. PPTIER Profiling - Parsing/Standardization - Transformation - Identity Resolution and Mapping - Enhancement - Reporting
Business Intelligence
Kimball DW Approach
Data Quality tools
Reference Data Management
19. Appointed trustees for data assets
Data Warehouse primary components
Business Intelligence
Data Policies
Data Stewards
20. Centralized - gather and store centrally - periodic batch updates - Distributed - Query it in realtime from source - Hybrid - Header/common info stored centrally - more detailed info gathered in realtime from source
Data Access Services
Data Quality tools
Metadata Architecture types
Knowledge management
21. Data is Intangible Asset - usually in Goodwill category. ways to value: Cost of Loss of data..What would Competitors pay for this data?
Data asset valuation
To share consistent Reference and Master data - orgs need to understand...
Strategic goals of data management
Hierarchical Relationships
22. Source Systems - Staging Area - Data Presentation Area/DW - Data Access Tools
DMBOK Environmental Elements
Party master data
Ontology
Kimball key components
23. Centralized Data Warehouse designed to serve the BI needs of the entire organization. Adheres to the Enterprise Data Model (EDM).
Inmon ODS - DW - DM distinction
Data Security in an outsourced wolrd
Enterprise Data Warehouse
Metadata Architecture types
24. Data specifically constructed for query and analysis
Non-strategic goals of data management
Data Ops Mgt has 2 Subfunctions
Data Quality expectations
Kimball DW Approach
25. Control over defined domain values - i.e. Vocabularies.
Reference Data Management
Reference and Master Data Management
Data Management functions breakdown into
To share consistent Reference and Master data - orgs need to understand...
26. DMS - Development - Maintenance - Support of structured data
Data Implementation
Data Operations Mgt
Data Quality expectations
Data asset valuation
27. Control COST of data mgt. - Promote wider understanding of value of data assets. - Manage info consistently across enterprise - Align data mgt efforts and technology with Business Needs.
Non-strategic goals of data management
MOLAP
Information
Semantic Modeling
28. Write everything down - Keep everything - Automate - Purpose (Why?) for each task - Don't panic - Business interest - Collaborate
To share consistent Reference and Master data - orgs need to understand...
Product master data
Hierarchical Relationships
Data Ops Mgt - Guiding Principles
29. The planning and execution of...policies - practices - and projects that...acquire - control - protect - deliver - and enhance the value of...data and information assets.
Data Management Shared responsibility
Inmon ODS - DW - DM distinction
Master Data Management
The PE - PPP - ACPDEV - DIA Data Management Acronym
30. Any file or record
Data Model/Design quality management
Document
Content Management
Data Management Shared responsibility
31. The Exercise of Authority and Control over the Management of Data Assets.
Data Governance (EAC DMA)
Reference Data Metadata may include...
Data governance like real Government
Data Access Services
32. Stored in multidimensional data store
Data Quality expectations
MOLAP
Causes for Performance problems
Content Management
33. CRUD matrices that map data responsibilities across bus process - applications - roles - and organizations. - RACI matrix with clearn accountability and ownership.
Data Security in an outsourced wolrd
Data Implementation
Data Warehouse primary components
Application DBA
34. More detailed than Conceptual Data Model - adding: Normalization - Abstraction - Still technology independent.
Logical Data Model
Data Governance Deliverables (PPS IP SQV)
Enterprise Data Warehouse
Data Strategy
35. Control over master data values to enable consistent - shared - contextual use across systems - of the most Accurate - Current - Relevant version of truth about Essential business entitites.
Data Quality Management Functions
Master Data Management
Examples of individual roles participating in Data Mgt
Logical Data Model
36. Information in perspective - integrated into a viewpoint based on the recognition of Patterns - trnends - assumptions - etc.
Knowledge
Enterprise Data Warehouse
Content Management
DMBOK Recurring Themes
37. FFHN Flat - No relationship among controlled set of categories (e.g. List of Countries) - Facet - Star - attributes of an object (Metadata) - Hierarchical - TREE structure (Geography) - Network - Hierarchy And Facet (Thesaurus)
Detailed Data Design
Strategic goals of data management
Data Development Activities (MDQI)
Taxonomies - 4 types
38. PLM - Product lifecycle management systems - enable cross-process cost and legal agreements tracking as product concepts evolve from one idea to many potential products under different names and potentially different licensing agreements.
Product master data
Content Management
To share consistent Reference and Master data - orgs need to understand...
Causes for Performance problems
39. Data stored in combination of ROLAP and MOLAP
Metadata Management Functions
HOLAP
Data Stewards
Physical Data Models
40. Technology specific - denormalized for performance - Surrogate keys - Indexing - Views -
Knowledge
Physical Data Models
Data Management functions breakdown into
Location master data
41. BTPD Business (Definitions - rules - data lineage - quality statements - report lists - etc.) - Targetd at Business - Technical and operational (Information about SYSTEMS. DBs - column names - files - etls - etc) - Targeted at IT Operations users' n
Types of Metadata
Metadata for unstructured data types
Affiliation Relationship
Data Quality Dimensions
42. A high-level course of action to achieve data goals. Usually a data management program strategy.
Data Management Shared responsibility
Non-strategic goals of data management
Data Lifecycle Simple
Data Strategy
43. G ADO SQ RIDM - Governance - Architecture - Development - Operations - Security - Quality - Reference/Master Data Mgt - DW/Business Intelligence - Document and Content Management - Metadata Management.
Conceptual Data Models
Data Development Activities (MDQI)
Data Strategy
Data Management Functions
44. ETL Source to target mappings
Information
Data Policies
Metadata Architecture types
Data Integration Services
45. Expert technical custodians of data assets
Data Integration Services
Location master data
Data Management Professionals role
Data Quality Management Functions
46. Data Architect - Business Process Analyst- Chief Knowledge Officer (CKO) - IT Auditor - Government and Regulatory Bodies
Examples of individual roles participating in Data Mgt
Data governance like real Government
Data Ops Mgt has 2 Subfunctions
Content Management
47. Data stored in Relational DB store
DOLAP
ROLAP
Content Management
Guiding Principles of data management
48. Top - Definition and List of Goals - Center - List of that function's Activities - Left - Inputs - Suppliers - Participants - Below - Tools used for activities - Right - Primary DELIVERABLES - Consumers - Metrics
Content Management
DM Function Context Diagram overview (DG - ISP - T - DCM)
Location master data
Logical Data Model
49. PIBRA Plan - Implement Doc/Record Mgt System - Backup - Retain - Audit
DOLAP
Asset
Data Stewardship
Document Mgt.Functions
50. Security - DB Recovery and Retention - Access and Use of Externally Sourced Data - Sharingdata internally and externally - DW/BI policies
Location master data
Data Quality expectations
Data Management Synonyms
Detailed Data Design