Test your basic knowledge |

Subjects : certifications, dmbok
Instructions:
  • Answer 50 questions in 15 minutes.
  • If you are not ready to take this test, you can study here.
  • 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. Control over defined domain values - i.e. Vocabularies.






2. Data stored in combination of ROLAP and MOLAP






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






4. Data specifically constructed for query and analysis






5. Resources with recognized valued under the control of an individual or organization. Data and information are enterprise assets.






6. G ADO SQ RIDM - Governance - Architecture - Development - Operations - Security - Quality - Reference/Master Data Mgt - DW/Business Intelligence - Document and Content Management - Metadata Management.






7. Process - Tools - and Techniques for Organizing - Categorizing and Structuring access to Information Content






8. Sarbanes-Oxley - financial reporting and auditing - HIPPA - privacy and security of health information - Basel II - Solvency II - PCI-DSS - Payment Card Industry Data Security Standards






9. A high-level course of action to achieve data goals. Usually a data management program strategy.






10. Data about the business entities that provide context for busines stransactions. e.g. Parties - Products - Financial Structures - Locations






11. 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)






12. ETL Source to target mappings






13. DMS - Development - Maintenance - Support of structured data






14. State names - codes - MedDRA code - WHO Drug Code






15. 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






16. Technology specific - denormalized for performance - Surrogate keys - Indexing - Views -






17. Appointed trustees for data assets






18. Modeling and design standards






19. Representation of facts - as Text - Numbers - Graphics - Images - Sound - or Video.






20. Planning - Development and Execution of - Policies and Procedures to provide proper - Authentication - Authorization - Access - and Auditing of - Information Assets.






21. 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






22. Business function of planning for - controlling - and delivering data and information assets. PDC-A






23. 1. Data Mgt Service orgs (EIM COE) 2. Data Governance Council 3. Data Stewardship Steering Committee 4. Data Stewardship Teams 5. Data Governance Office






24. Knowledge modeling. Ontology is a semantic model that describes Knowledge.






25. The Exercise of Authority and Control over the Management of Data Assets.






26. PIBRA Plan - Implement Doc/Record Mgt System - Backup - Retain - Audit






27. FDPPOS - Functions - Definitions - Principles - Practices - Organization - Scope






28. Expert technical custodians of data assets






29. Type of model that represents a set of concepts and their relationships within a domain.






30. Formal accountability for business responsibilities ensuring effective control and use of data assets.






31. SITNSH - Subject oriented - Integrated - Time-variant (snapshots of data) - Non-volatile (no updates) - Summarized and Detailed data - Historical






32. 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






33. Centralized Data Warehouse designed to serve the BI needs of the entire organization. Adheres to the Enterprise Data Model (EDM).






34. 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






35. 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.






36. (ARPM Bit Mikes PP) ARPM (Awareness - Requirements - Profile - Metrics) - BTS (Business Rules - Test requirements - Service levels) - PP (Measure/monitor - Issues - Clean - Procedures - Performance)






37. 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






38. GADR PTO "Gatter Riptoe" - Goals/Principles - Activities - Deliverables - Roles - Practices - Technology - Org/Culture






39. Security - DB Recovery and Retention - Access and Use of Externally Sourced Data - Sharingdata internally and externally - DW/BI policies






40. DSA - Descriptive metadata (Catalog information - thesauri keyword terms) - Structural metadata (Dublin core - field structures - XML schema) - ADMINISTRATIVE metadata (Source - integration/update schedule - access rights - page relationships)






41. More detailed than Conceptual Data Model - adding: Normalization - Abstraction - Still technology independent.






42. TMAC Taxonomy - Metadata - Access - Quality






43. Customer - CRM Employee/workforce - HRM






44. Data Architect - Business Process Analyst- Chief Knowledge Officer (CKO) - IT Auditor - Government and Regulatory Bodies






45. 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.






46. RAS - ICIM - DR [Requirements - Architecture - Standards] - [Implement Managed Metadata Environment Capture Metadata - Integrate Metadata - Metrics on Metadata[ - [Deliver Metadata - Report on Metadata]






47. Information in perspective - integrated into a viewpoint based on the recognition of Patterns - trnends - assumptions - etc.






48. Information mgt - Enterprise Information mgt - Enterprise Data mgt - Data Resource mgt - Information Resource mgt - Information Asset mgt






49. 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






50. 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