최신 CDMP-RMD 무료덤프 - DAMA Reference And Master Data Management

A. No. financial data is master data but the definition is always changing

B. No. master data can have many definitions

C. No. technical data may have many definitions depending on the vendor

D. Yes. the key thing is to agree on a standard definition

E. No. each department can have their own definitions for master data

A. No. master data is always the same kind of information

B. No. master data for an industry is always standardized

C. Yes. each industry and/or company has their own core master data

A. Collision Logic on two sources measuring how much they match

B. Percentage of attributes that have definitions

C. Currency of metadata in the repository

D. Random survey based on Enterprise definition of quality

E. All of these

A. A separate data steward

B. Data enrichment

C. Reference data

D. Automation of all process tasks

E. A degree of governance

A. Must continually prove and promote its accomplishments and benefits

B. Should be in scope for Big Data and loT initiatives

C. Program funding requirements typically grow over time as the data inventory grows

D. Can be effectively created and managed long-term using the same methodology

E. Has an indefinite life span

A. Trusted System

B. Source System

C. System of Reference

D. System of Origin

E. System of Use

A. Data Governance. Information Security, and Compliance

B. Data Management, Information Security, and Customer Experience

C. Data Governance. Information Technology, and Customer Experience

D. Customer Experience. Information Security, and data Governance

E. Data Management. Information Technology, and Compliance

A. Identify or develop a trusted version of truth for each of its entities

B. Include its transaction activity data that records details about transactions Only have one set of data as the source data and one set of data as the target data

C. Create a specific application solution of all the data in that application

D. Include transaction audit data that describes the state of transactions

A. Being able to determine the similarity between two data models

B. Finding two references that are linked with a single entity

C. Algorithms for parsing and standardization and on defined patterns and rules for determining similarity

D. Statistical techniques for assessing the probability that any pair of records represents the same entity

E. Taking data samples and looking at results for a subset of the records

A. Operations Run Book

B. Business Requirements Document

C. Warranty

D. Operational Level Agreement

E. Metadata catalog