Try DMF-1220 FREE Dumps (Part 1, Q1-Q40) of V9.02 Right Now! – 2026 Updated for Data Management Fundamentals Exam

Let me introduce the Certified Data Management Professional (CDMP) certification. It is a globally recognized data management certification, which validates both knowledge and real-world capability in managing data across an organization. CDMP has three progressive levels, including:

  • Associate: Best for students or newcomers
  • Practitioner: Focuses on hands-on knowledge
  • Master: Demonstrates broad and deep expertise

When coming for the associate level, you must pass the Data Management Fundamentals (DMF-1220) exam successfully. DumpsBase updated the DMF-1220 dumps to V9.02, offering you 724 practice questions and answers for preparation. These Q&As are comprehensive and high-quality, meticulously crafted to provide complete coverage of all Data Management Fundamentals exam objectives, ensuring you are thoroughly prepared for every aspect of the CDMP certification test. Today, we will share DMF-1220 free dumps (Part 1, Q1-Q40) of V9.02 online to help you check first.

Below are our DMF-1220 free dumps (Part 1, Q1-Q40) of V9.02 for checking:

1. Data integrity is the state of being partitioned C protected from being whole.

2. Malware types include:

3. Data governance program must contribute to the organization by identifying and delivering on specific benefits.

4. For each subject area logical model: Decrease detail by adding attributes and less-significant entities and relationships.

5. Time-based patterns are used when data values must be associated in chronological order and with specific time values.

6. Please select the two classifications of database types:

7. Value is the difference between the cost of a thing and the benefit derived from that thing.

8. Data Storage and Operations: The design, implementation and support of stored data to maximize its value.

9. The database administrator (DBA) is the most established and the most widely adopted data professional role.

10. Data asset valuation is the process of understanding and calculating the economic value of data to an organisation. Value comes when the economic benefit of using data outweighs the costs of acquiring and storing it, as

11. Test environments serve many uses:

12. The four A’s in security processes include:

13. Misleading visualisations could be an example where a base level of truthfulness and transparency are not adhered to.

14. Data modelling is most infrequently performed in the context of systems and maintenance efforts, known as SDLC.

15. Confirming and documenting understanding of different perspectives facilitate:

16. The flow of data in a data integration solution does not have to be designed and documented.

17. A goal of data governance is to enable an organisation to manage its data as a liability.

18. Three data governance operating models types include:

19. Data flows map and document relationships between data and:

20. Please select correct term for the following sentence: Any collection of stored data regardless of structure or content. Some large databases refer to instances and schema.

21. Please select the correct principles of the General Data Protection Regulation (GDPR) of the EU.

22. Please select the correct General Accepted Information Principles:

23. The acronym BASE is made up of:

24. Differentiating between data and information. Please select the correct answers based on the sentence below:

Here is a marketing report for the last month [1].

It is based on data from our data warehouse [2].

Next month these results [3]

will be used to generate our month-over-month performance measure [4].

25. Enterprise data architecture project-related activities include:

26. Data governance can be understood in terms of political governance. It includes the following three function types:

27. A sandbox environment can either be a sub-set of the production system, walled off from production processing or a completely separate environment.

28. Data modelling tools and model repositories are necessary for managing the enterprise data model in all levels.

29. Within the Data Handling Ethics Context Diagram a key deliverable is the Ethical Data Handling Strategy.

30. Please select the two concepts that drive security restrictions:

31. The Belmont principles that may be adapted for Information Management disciplines, include:

32. Data handling ethics are concerned with how to procure, store, manage, use and dispose of data in ways that are aligned with ethical principles.

33. An application DBA leads the review and administration of procedural database objects.

34. Part of alignment includes developing organizational touchpoints for data governance work.

Some examples of touchpoints include:

Procurement and Contracts;

Budget and Funding;

Regulatory Compliance;

and the SDLC framework.

35. Inputs in the data storage and operations context diagram include:

36. Data Management Professionals only work with the technical aspects related to data.

37. The CAP theorem states that at most two of the three properties: consistency, availability and partition tolerance can exist in any shared data system.

38. Data models comprise and contain metadata essential to data consumers.

39. The goals of data security practices is to protect information assets in alignment with privacy and confidentiality regulations, contractual agreements and business requirements.

These requirements come from:

40. The scope and focus of any data governance program depend on organizational needs, but most programs include:


 

CDMP-RMD Exam Dumps (V9.02) - Provide You with the Newest Study Materials to Prepare for Your Reference And Master Data Management Exam

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