Free Reference And Master Data Management Exam CDMP-RMD Exam Practice Test

What statement is NOT correct as a key point of a MDM program?

• Must continually prove and promote its accomplishments and benefits
• Program funding requirements typically grow over time as the data inventory grows
• Has an indefinite life span
• Should be in scope for Big Data and loT initiatives
• Can be effectively created and managed long-term using the same methodology

Location related attributes used exclusively by a group of Financial applications are considered as:

• Reference Data
• Metadata
• Application Suite Master Data
• Application Master Data
• Enterprise Master Data

Within the Corporate Information Factory, what data is used to understand transactions?

• Master Data and Unstructured Data
• Internal Data. Physical Schemas
• Master Data. Reference Data, and External Data
• Reference Data and Vendor Data
• Security Data and Master Data

Managing Master Data involves:

• Managing transaction data
• Managing process models
• Managing database keys
• Managing structured and unstructured data
• Managing security risks

Does an organization have to agree to a single definition for Master Data?

• No. master data can have many definitions
• Yes. the key thing is to agree on a standard definition
• No. technical data may have many definitions depending on the vendor
• No. each department can have their own definitions for master data
• No. financial data is master data but the definition is always changing

What activity is helpful in mapping source system data for MDM efforts?

• Data profiling
• ETL toolset
• Process modeling
• Data dictionary
• Data modeling

The format and allowable ranges of Master Data values are dictated by:

• Business rules
• Semantic rules
• Processing rules
• Engagement rules
• Database limitations

Management of Reference and Master data is aimed to reduce cost and risk of having disparate data mainly caused by:

• Organic growth of systems and data, isolated systems, mergers and acquisitions
• High number of legacy applications and lack of expertise to evolve or replace them
• Lack of appropriate processes to assure data availability and accuracy
• Migration to new technology platforms and evolution of landscape
• Poor or non-existent data documentation available for developers and business analysts

What data architecture component is typically used for ingesting raw source system data?

• Integration Zone
• Landing Zone
• Curation Zone
• Presentation Zone
• Analytics Zone

Business entities are represented by entity instances:

• In the form technical capabilities
• In the form of business capabilities
• In the form of files
• in the form of data/records
• In the form of domains