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The DMF-1220 Exam covers the fundamental principles and best practices of data management, including data governance, data quality, data modeling, metadata management, and data architecture. It is intended for professionals who are new to the field of data management or who have limited experience in data management.

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What is DAMA DMF-1220 Exam

DAMA Data Management Fundamentals (DMF) is an exam developed by the Data Management Association (DAMA), a professional organization that certifies database administrators. The exam tests candidates in four areas: database design and implementation, SQL tuning, database security and performance management.

If you are looking for a career in data management, then this certification will help you to get a good job as it proves your knowledge and skills in this field. If you want to become an expert in this field, then you should aim at passing this exam. This certification can help you get better job opportunities as well as higher pay packages. DAMA DMF-1220 Exam Dumps are the best way to get certified and get highly paid desired jobs.

DAMA Data Management Fundamentals Sample Questions (Q82-Q87):

NEW QUESTION # 82
Assessment criteria are broken into levels, and most capability maturity models use five (5) levels. This is important since:

A. Assessments are difficult and breaking them into levels makes them more difficult to perform
B. Each capability level will have specific criteria associated with its completion. To move to the next higher level, all the capabilities of the current level must be satisfied
C. Each capability is separate, so each level represents a separate stage in development
D. It is not important how many levels there are; vendors do this to show they have a complex model
E. The organization must be able to manage each criterion, and breaking them into levels is the only way to do that

Answer: B

Explanation:
Capability maturity models (e.g., CMMI) use five levels to assess and improve processes, with each level requiring completion of specific criteria. The DAMA-DMBOK states: "Maturity models, such as the Data Management Maturity Model, use five levels, where each level has defined criteria that must be fully satisfied to progress to the next level" (DMBOK2, Chapter 1: Data Management, p. 21). Option B accurately describes this structure.
Reference:DAMA-DMBOK2, Chapter 1: Data Management, Section 2.3, p. 21.

NEW QUESTION # 83
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].

A. [1] Data, [2] Information, [3] Data, [4] Data
B. [1] Data, [2] Data, [3] Data, [4] Information
C. [1] Information, [2] Data, [3] Data, [4] Information
D. [1] Information, [2] Information, [3] Data, [4] Information

Answer: C

NEW QUESTION # 84
Data staging areas are populated from source databases using extract functions, transformed, and then:

A. Made ready for metrics calculations and key performance indicators
B. Made ready and loaded into the data warehouse
C. Made ready with advanced profiling and reported into a visualization tool
D. Made ready for metadata repository loading
E. Made ready for review by a data modeller for physical modelling

Answer: B

Explanation:
The correct answer is E. A data staging area is an intermediate location used in the data warehouse loading process. Data is extracted from operational source systems, placed or prepared in staging, cleansed and transformed according to integration and business rules, and then loaded into the target data warehouse or data marts. The staging layer isolates source systems from downstream warehouse processing and supports reconciliation, quality checks, restartability, and auditing of loads. It is not primarily a holding area for physical data-model review, visualization, KPI calculation, or metadata-repository loading. Those activities may consume warehouse data or metadata later, but they do not represent the normal final step of the staging flow described in the question. Accordingly, after extraction and transformation, the prepared data is made ready and loaded into the data warehouse.

NEW QUESTION # 85
Reference and Master data definition: Managing shared data to meet organizational goals, reduce risks associated with data redundancy, ensure higher quality, and reduce the costs of data integration.

A. FALSE
B. TRUE

Answer: B

NEW QUESTION # 86
Most people who work with data know that it is possible to use data to misrepresent facts. Which of the following is NOT a way in which data is used to misrepresent facts?

A. Providing transparency on the sources, uses, and intent of the data used in a report
B. Leaving out required context in a report resulting in ambiguity and assumptions being made about the data points
C. Leaving out the relationship between data points in a chart
D. Data collected with bias to prove a pre-conceived idea is correct
E. Omission or inclusion of certain data points in a report or activity based on timing

Answer: A

Explanation:
Misrepresenting facts involves biased or incomplete data presentation. The DAMA-DMBOK states: "Data misrepresentation can occur through biased collection, omitting context, selective data inclusion, or ignoring relationships, whereas transparency about sources and intent mitigates misrepresentation" (DMBOK2, Chapter 7: Data Quality, p. 271). Option D prevents misrepresentation, unlike A, B, C, and E.
Reference:DAMA-DMBOK2, Chapter 7: Data Quality, Section 3.3, p. 271.

NEW QUESTION # 87
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