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. Ongoing Reconciliation and Maintenance of reference and master data.






2. 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.






3. CRUD matrices that map data responsibilities across bus process - applications - roles - and organizations. - RACI matrix with clearn accountability and ownership.






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






5. ERP






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






7. Query - analysis and reporting off of the DW.






8. Data stored in combination of ROLAP and MOLAP






9. Document mgt- not concerned with insides of the file. - Content mgt - looks at inside of file and tries to identify the content.






10. 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.






11. Activities and Activity Groups






12. Responsibility for a Specific Database(s) in all of its environments - rather than database System administration.






13. 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






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






15. 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






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






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






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






19. 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






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






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






22. 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






23. 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






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






25. (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






26. Control over defined domain values - i.e. Vocabularies.






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






28. 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)






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






30. 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.






31. Shared between Data Management Professionals in IT - and Business Data Stewards.






32. TMAC Taxonomy - Metadata - Access - Quality






33. 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.






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






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






36. 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






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






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






39. Customer - CRM Employee/workforce - HRM






40. Done by DBA - collab with DA.






41. 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)






42. 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






43. Appointed trustees for data assets






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






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






46. Database Support and Data Technology Management






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






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






49. 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






50. ETL Source to target mappings