Free DMF Exam Braindumps
Data Management Fundamentals Questions 106–110 (page: 23)

Updated On: 10-Feb-2026

Well executed metadata management enables:

  1. A consistent understanding of data resources
  2. A consistent approach to data modelling
  3. A consistent design for dimensional reporting
  4. A consistent understanding of database design
  5. A consistent authorization framework

Answer(s): A

Explanation:

Well-executed metadata management ensures that data resources are consistently understood across an organization. It provides a clear, unified view of what the data represents, how it is structured, and where it resides. This consistency helps improve data quality, accessibility, and decision-making by ensuring that all stakeholders have the same understanding of the data.



One advantage of a continuous improvement over a maturity approach in data quality is:

  1. A continuous improvement approach can be completed by skilled staff, but a maturity approach requires 3rd parties
  2. Continuous improvement is driven by micro-business cases rather than an overall standardised approach
  3. A maturity assessment will achieve level 3 at the most and a continuous assessment can achieve level 4
  4. A continuous improvement approach is not as measureable as a maturity measure
  5. A continuous improvement approach such as metadata management

Answer(s): B

Explanation:

A continuous improvement approach focuses on incremental, ongoing improvements driven by specific business needs or micro-business cases. This allows organizations to adapt quickly and make changes as issues arise, rather than adhering to a rigid, overarching maturity model. In contrast, a maturity approach is more structured and standardized, focusing on achieving predefined stages or levels of capability.



A pensioner who usually receives a quarterly bill of around $300 was sent a $100,000,000 electricity bill. They were a victim of poor data quality checks in which dimension?

  1. Integrity
  2. Accuracy
  3. Reasonableness
  4. Currency
  5. Timeliness

Answer(s): C

Explanation:

The issue here lies in the reasonableness dimension of data quality. A $100,000,000 bill is clearly unreasonable compared to the usual quarterly bill of $300, which indicates that there was a lack of proper checks to ensure the data was within expected, reasonable limits. This type of data quality issue typically occurs when checks for realistic or expected values are not in place.



What is a super key?

  1. A numeric, often system generated key uniquely identify an entity instance.
  2. An inverted architecture key, frequently used in high speed data retrieval systems
  3. Any set of attributes without duplicates that uniquely identify an entity instance.
  4. Any set of attributes that uniquely identify an entity instance.
  5. Any set of attributes where each component is a shortened identifier to provide meaning to the reader of a key

Answer(s): D

Explanation:

A super key is any combination of attributes (or columns) that can uniquely identify an entity instance in a database. It may include additional attributes beyond those necessary for uniqueness, which means it is a broader concept compared to a candidate key, which is minimal in terms of the number of attributes required for uniqueness.



In Data Modelling, the generalization of the concept of person and organisation into a party enables:

  1. Them to act in roles in agreements, shared address usages and common interaction processes
  2. Faster implementation into packages that use the same vocabulary
  3. The implementation of relationships between persons and organisations
  4. Single person organisations to be managed consistently
  5. Greater security as users are unaware if this party is a person or an organisation

Answer(s): A

Explanation:

In data modeling, generalizing the concept of person and organization into a "party" allows for a flexible representation where both individuals and organizations can act in various roles in agreements, share address usages, and interact in common processes. This abstraction simplifies modeling by unifying different types of entities under a single concept, which can then be used in various contexts across the system.



Viewing page 23 of 60
Viewing questions 111 - 115 out of 295 questions


Post your Comments and Discuss CDMP DMF exam prep with other Community members:

AI Tutor AI Tutor 👋 I’m here to help!