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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. DMS - Development - Maintenance - Support of structured data
Kimball key components
Inmon DW Approach
Data Operations Mgt
MOLAP
2. Shared between Data Management Professionals in IT - and Business Data Stewards.
Data Management Shared responsibility
Data Management Functions
Common Activity Groups for DM Functions (PDCO)
Ten Functions of Data Management
3. (ARPM Bit Mikes PP) ARPM (Awareness - Requirements - Profile - Metrics) - BTS (Business Rules - Test requirements - Service levels) - PP (Measure/monitor - Issues - Clean - Procedures - Performance)
Document Management
Data Quality tools
Data Quality Management Functions
Reference Data - Examples
4. 1. Data and info are valuable enterprise ASSETs 2. Manage data/info carefully - like any other asset - by ensuring Quality - Security - Integrity - Protection - Availability - Understanding - and Effective Use. 3. Share responsibility between busines
Data Quality tools
Guiding Principles of data management
Data Management Professionals role
Party master data
5. The Exercise of Authority and Control over the Management of Data Assets.
Non-strategic goals of data management
Knowledge management
Goals of DMBOK
Data Governance (EAC DMA)
6. DM Program Charter - SCOPE statement - Implementation Roadmap
Examples of individual roles participating in Data Mgt
Data Development Activities (MDQI)
Data Strategy Deliverables
Guiding Principles of data management
7. Meaning and purpose of each reference data value domain - Reference tables and databases where the reference data appears. - Source of the data in each table. - Version currently available. - When data was last updated. - How the data in each table i
Reference Data Metadata may include...
Data Management functions breakdown into
Data Operations Mgt
Semantic Modeling
8. Data specifically constructed for query and analysis
Kimball DW Approach
Data Development Activities (MDQI)
Conceptual Data Models
ROLAP
9. Understand info Needs of enterprise and its stakeholders. - Capture - store - protect - and ensure integrity of Data Assets. - Continually improve Quality of data and information. - Ensure Privacy and Confidentiality - Maximize Effective use and VALU
Application DBA
Strategic goals of data management
Data Management Synonyms
Data Integration Services
10. PPTIER Profiling - Parsing/Standardization - Transformation - Identity Resolution and Mapping - Enhancement - Reporting
Data Lifecycle complete
Metadata Management Functions
Data Quality tools
Data
11. 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.
Master Data Management
Inmon DW Approach
Inmon ODS - DW - DM distinction
Data governance programScope elements
12. Expert technical custodians of data assets
Metadata Architecture types
Data Management Professionals role
Goals of DMBOK
ROLAP
13. SOA - ETL - Replication - Message Brokers
Data Access Services
Content Management
Data Quality Dimensions
Business Intelligence
14. ODS - Current-valued - volatile data for operational reporting needs - DW - Historical - non-volatile data for single source of integrated data for corporation - DM - DSS for a department analytic need
Procedural DBA
Data Lifecycle Simple
Inmon ODS - DW - DM distinction
Document vs. Content
15. WHO needs WHAT info? - What data is available from different sources? - How does data from different sources DIFFER? - How can inconsistencies be RECONCILED? - How should most valid values be SHARED effectively and efficiently?
To share consistent Reference and Master data - orgs need to understand...
Data Operations Mgt
Data Management
Inmon DW Approach
16. TMAC Taxonomy - Metadata - Access - Quality
Metadata Management Functions
Product master data
Content Mgt Functions
DMBOK Environmental Elements
17. SQIEC "Squiec" - Stewardship - Quality - Integration - Enterprise - Cultural change leadership
Data Governance Deliverables (PPS IP SQV)
Master Data
Data Policies
DMBOK Recurring Themes
18. ERP
Metadata Architecture types
Inmon ODS - DW - DM distinction
Financial master data
Data Management functions breakdown into
19. Created/acquired - stored - used - destroyed.
Affiliation Relationship
Kimball key components
Data Lifecycle Simple
Document vs. Content
20. Write everything down - Keep everything - Automate - Purpose (Why?) for each task - Don't panic - Business interest - Collaborate
Logical Data Model
Data Management Professionals role
Data Ops Mgt - Guiding Principles
Business Intelligence
21. Centralized Data Warehouse designed to serve the BI needs of the entire organization. Adheres to the Enterprise Data Model (EDM).
Enterprise Data Warehouse
Content Mgt Functions
Components of Data Strategy (VCP GMO RIRS)
Types of Data Management Organizations
22. Done by DBA - collab with DA.
Document vs. Content
Data Management Services(GAR MQD IP)
ROLAP
Detailed Data Design
23. Formal accountability for business responsibilities ensuring effective control and use of data assets.
DOLAP
Data Ops Mgt - Guiding Principles
Master Data Management
Data Stewardship
24. Accuracy - degree data reflects real life entities] - [Completeness - both cols and rows - Consistency - Consistent data values between data sets - Currency - current with real world situation] - [Precision - level of detail - Privacy - access contr
Data Quality Dimensions
Party master data
Data Governance (EAC DMA)
Data Management
25. Policies - Standards - Procedures - Metrics - Business data Names - business Definitions - business Rules
Data Management functions breakdown into
Data Development Activities (MDQI)
Rules defined by Data Governance (PSP MBN DR )
Master Data
26. 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
MOLAP
Data Quality Management Functions
Data governance programScope elements
27. RAS - ICIM - DR [Requirements - Architecture - Standards] - [Implement Managed Metadata Environment Capture Metadata - Integrate Metadata - Metrics on Metadata[ - [Deliver Metadata - Report on Metadata]
Data Management Functions
Logical Data Model
Data Implementation
Metadata Management Functions
28. Stored in multidimensional data store
Data Lifecycle complete
Metadata for unstructured data types
MOLAP
Asset
29. Ongoing Reconciliation and Maintenance of reference and master data.
Knowledge management
Reference and Master Data Management
Data Warehouse primary components
Types of Data Management Organizations
30. Authentication - User is who they say they are. - Authorization - List of privileges that a user has to data - Access - Enable privileges in a timely manner - Auditing - Review security actions and user activity to ensure compliance
Data Access Services
Data Security Management (PDE PP AAAA)
AAAA
Data security guiding principles
31. G ADO SQ RIDM - Governance - Architecture - Development - Operations - Security - Quality - Reference/Master Data Mgt - DW/Business Intelligence - Document and Content Management - Metadata Management.
Data governance programScope elements
Data Management Functions
Reference Data - Examples
Data Stewards
32. Responsible Trustee of data - Understand and Comply with Regulations- Define data security Reqts Collaboratively - ID detailed application security reqts in each app dev project - Every user acct. has password - Use Role Groups- Formally track/approv
Information
Data security guiding principles
Data Management Shared responsibility
Inmon ODS - DW - DM distinction
33. FDPPOS - Functions - Definitions - Principles - Practices - Organization - Scope
Goals of DMBOK
Document Mgt.Functions
Knowledge management
Data Management Services(GAR MQD IP)
34. Activities and Activity Groups
Data Lifecycle complete
Document vs. Content
Hierarchical Relationships
Data Management functions breakdown into
35. ETL Source to target mappings
Data Security in an outsourced wolrd
Data Quality Management Functions
Data Integration Services
Financial master data
36. Any file or record
Data Stewardship
Document
Data Governance (EAC DMA)
Location master data
37. 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
Data governance like real Government
Data Quality Management lifecycle
Asset
Product master data
38. Type of model that represents a set of concepts and their relationships within a domain.
Financial master data
Goals of DMBOK
Ontology
Data Management Services(GAR MQD IP)
39. 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.
Data governance like real Government
Physical Data Models
Product master data
Data Management Professionals role
40. (GADO SQ RIDM) 1. Governance 2. Architecture Management 3. Development 4. Operations Management 5. Security Management 6. Quality Management 7. Reference/Master Data Management 8. Data Warehousing/Business Intelligence 9. Document and Content Manage
Reference Data Metadata may include...
Ten Functions of Data Management
Data asset valuation
Affiliation Relationship
41. Data Strategy and Policies - Standards and Architecture - Regulatory Compliance - Issue management - PROJECTS - Valuation - Communication
Data Development Activities (MDQI)
Data Lifecycle complete
Data governance programScope elements
Conceptual Data Models
42. Responsibility for a Specific Database(s) in all of its environments - rather than database System administration.
Document Mgt.Functions
Data Quality Dimensions
Application DBA
To share consistent Reference and Master data - orgs need to understand...
43. 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 Lifecycle complete
Data Security Management (PDE PP AAAA)
Metadata Architecture types
Data Management Professionals role
44. State names - codes - MedDRA code - WHO Drug Code
Data governance like real Government
Reference Data - Examples
Types of Data Management Organizations
Data Management functions breakdown into
45. Plan - Specify - Enable - Create - Use - Retrieve - Purge
Data Management Services(GAR MQD IP)
Data Lifecycle complete
Data Policies
Data Ops Mgt has 2 Subfunctions
46. Vision - business case - guiding principles - long-term goal of Data Management - Measures of success - SMART program Objectives - descriptions of Roles - description of INITIATIVES (projects) - ROADMAP - boundaries of SCOPE.
AAAA
Data Stewards
Components of Data Strategy (VCP GMO RIRS)
Data Implementation
47. SIC - Storage - Inventory - and Control of EPD - Electronic and Paper Documents.
Data Management Professionals role
Document Management
Data security guiding principles
Data Operations Mgt
48. Knowledge modeling. Ontology is a semantic model that describes Knowledge.
DMBOK Environmental Elements
Types of Data Management Organizations
Data security guiding principles
Semantic Modeling
49. LEGISLATIVE branch - Policies and standards - JUDICIAL branch - Issue management - EXECUTIVE branch - administration - services - and compliance
Data Governance (EAC DMA)
Data governance like real Government
Inmon ODS - DW - DM distinction
Conceptual Data Models
50. The planning and execution of...policies - practices - and projects that...acquire - control - protect - deliver - and enhance the value of...data and information assets.
Inmon ODS - DW - DM distinction
The PE - PPP - ACPDEV - DIA Data Management Acronym
Data security guiding principles
Information