Updated DMF-1220 Practice Questions 2026 (V9.02) – DMF-1220 Free Dumps (Part 2, Q41–Q80)

Preparing for the DMF-1220 Data Management Fundamentals certification exam with updated practice questions is a great way to ensure your success on the first attempt. These updated dumps are designed to closely mirror the actual Data Management Fundamentals exam, making them highly practical for your preparation. By learning the DMF-1220 free dumps (Part 1, Q41-Q80) of V9.02, you’ll have access to high-quality practice questions and find that these preparation materials help you build and refine your knowledge effectively. Choose DumpsBase now. This reliable resource with updated DMF-1220 practice questions will give you the comprehensive support you need to confidently pass the Data Management Fundamentals exam and achieve excellent results. Today, we will continue to share more free dumps online, helping you check more about the updated practice questions.

Below are the DMF-1220 free dumps (Part 2, Q41-Q80) of V9.02, helping you check more online:

1. Drivers for data governance most often focus on reducing risk or improving processes. Please select the elements that relate to the improvement of processes:

2. Malware refers to any infectious software created to damage, change or improperly access a computer or network.

3. Some ways to measure value of data include:

4. The data-vault is an object-orientated, time-based and uniquely linked set of normalized tables that support one or more functional areas of business.

5. Examples of the ‘Who’ entity category include: employee; patient; player; and suspect.

6. Drivers for data governance most often focus on reducing risk or improving processes. Please select the elements that relate to the reduction in risk:

7. There are several methods for masking data:

8. The number of entities in a relationship is the arity of the relationship.

The most common are:

9. Examples of the ‘What’ entity category include the following nouns:

10. Reduced risk is a benefit of high quality data.

11. The Zachman Framweork’s communication interrogative columns provides guidance on defining enterprise architecture. Please select answer(s) that is(are) coupled correctly:

12. SDLC stands for:

13. What type of key is used in physical and sometimes logical relational data modelling schemes to represent a relationship?

14. Developing complex event processing solutions require:

15. Vulnerability is defined as:

16. The deliverables in the data architecture context diagram include:

17. SSD is the abbreviation for Solid State Dimension.

18. SLA Stands for:

19. Obfuscating or redacting data is the practice of making information anonymous ot removing sensitive information. Risks are present in the following instances:

20. The ethics of data handling are complex, but is centred on several core concepts. Please select the correct answers.

21. Data Governance Office (DGO) focuses on enterprise-level data definitions and data management standards across all DAMA-DMBOK knowledge areas. Consists of coordinating data management roles.

22. A data governance strategy defines the scope and approach to governance efforts. Deliverables include:

23. Improving an organization’s ethical behaviour requires an informal Organizational Change Management (OCM) process.

24. What are the primary drivers of data security activities?

25. Information gaps represent enterprise liabilities with potentially profound impacts on operational effectiveness and profitability.

26. A sandbox is an alternate environment that allows write-only connections to production data and can be managed by the administrator.

27. Please select the correct types of data stewards:

28. A node is a group of computers hosting either processing or data as part of a distributed database.

29. Please select the correct definition of Data Management from the options below.

30. Companies do not rely on their information systems to run their operations.

31. The goals of data storage and operations include:

32. The goal of data architecture is to:

33. The purpose of data governance is to ensure that data is managed properly, according to policies and best practices. Data governance is focused on how decisions are made about data and how people and processes are expected to behave in relation to data.

34. A deliverable in the data modelling and design context diagram is the logical data model.

35. What model is the highest level model within the enterprise data model?

36. Category information is one of the types of data that can be modelled.

37. Select three correct attributes a data governance programme must be:

38. Please select the correct general cost and benefit categories that can be applied consistently within an organization.

39. There are numerous methods of implementing databases on the cloud. The most common are:

40. Preparation and pre-processing of historical data needed in a predictive model may be performed in nightly batch processes or in near real-time.


 

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