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. The planning and execution of...policies - practices - and projects that...acquire - control - protect - deliver - and enhance the value of...data and information assets.






2. Any file or record






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






4. 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






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






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






7. Policies - Standards - Procedures - Metrics - Business data Names - business Definitions - business Rules






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






9. Done by DBA - collab with DA.






10. 1. Integrated Decision Support Database 2. All the software used to collect - cleanse - transform - store data






11. Data is Intangible Asset - usually in Goodwill category. ways to value: Cost of Loss of data..What would Competitors pay for this data?






12. Improve data Quality and Integration... Provide onsolidated 360 degree view of information about important business entities (Party - Product - Location - Financial Structure).






13. High level perspective on a subject area of importance to the business.






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






15. 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






16. LEGISLATIVE branch - Policies and standards - JUDICIAL branch - Issue management - EXECUTIVE branch - administration - services - and compliance






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






18. 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.






19. 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.






20. ETL Source to target mappings






21. Appointed trustees for data assets






22. Customer - CRM Employee/workforce - HRM






23. 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?






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






25. 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.






26. Source Systems - Staging Area - Data Presentation Area/DW - Data Access Tools






27. Created/acquired - stored - used - destroyed.






28. Short statements of Management Intent and fundamental Rules governing creation - acquisition - integrity - security - quality - and use of data and information. Describe WHATs - and What NOTs; do not describe HOWs.






29. 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)






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






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






32. SIC - Storage - Inventory - and Control of EPD - Electronic and Paper Documents.






33. Establishment and maintenance of Relationships between master data records.






34. Expert technical custodians of data assets






35. Data in context. Business meaning - Format of data presentation - Timeframe - Relevance of data for a given usage.






36. Database Support and Data Technology Management






37. 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






38. DB implementation and change management - Test Data creation - Data migration/conversion programs - User training - Documentation






39. 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.






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






41. Discipline that fosters organizational learning and the management of intellectual capital.






42. 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






43. 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






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






45. 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






46. TMAC Taxonomy - Metadata - Access - Quality






47. Location REFERENCE data includes geopolitical data - countries - states - provinces - counties...Location MASTER data includes business party addresses - geographic positioning coordinates - etc.






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






49. 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






50. Data Strategy and Policies - Standards and Architecture - Regulatory Compliance - Issue management - PROJECTS - Valuation - Communication