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






2. 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






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






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






5. 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






6. 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.






7. Expert technical custodians of data assets






8. DM Program Charter - SCOPE statement - Implementation Roadmap






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






10. 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.






11. Virtual OLAP cube available as proprietary function of a classic relational database






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






13. 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.






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






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






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






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






18. 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






19. 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.






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






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






22. Database Support and Data Technology Management






23. Responsible for development and support of procedural logic controlled and executed by the DBMS. Triggers - sprocs - functions.






24. 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






25. 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






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






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






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






29. ERP






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






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






32. Data specifically constructed for query and analysis






33. Ongoing Reconciliation and Maintenance of reference and master data.






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






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






36. Governance coordination - Architecture definition and coordination - Information requirements analysis - data modeling facilitation - data quality analysis - traditional db design - implementation - production support services.






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






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






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






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






41. Write everything down - Keep everything - Automate - Purpose (Why?) for each task - Don't panic - Business interest - Collaborate






42. Policies - Procedures - Standards - Issues - Projects - Services - Quality Data and Info - Recognized Data Value






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






44. Memory allocation - Locking/blocking - Failure to update Stats - Poor SQL - Insufficient Indexing - Application Activity - Increase in Number/Size of DBs - Db Volatility






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






47. (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






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






49. 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)






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