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Data Management Fundamentals

Last Update 19 hours ago Total Questions : 730

The Data Management Fundamentals content is now fully updated, with all current exam questions added 19 hours ago. Deciding to include DMF-1220 practice exam questions in your study plan goes far beyond basic test preparation.

You'll find that our DMF-1220 exam questions frequently feature detailed scenarios and practical problem-solving exercises that directly mirror industry challenges. Engaging with these DMF-1220 sample sets allows you to effectively manage your time and pace yourself, giving you the ability to finish any Data Management Fundamentals practice test comfortably within the allotted time.

Question # 4

Logical abstraction entities become separate objects in the physical database design using one of two methods.

A.

The DAMA Wheel

B.

Supertype partition

C.

Subtype partition

D.

Subtype absorption

E.

Supertype absorption

Question # 5

Typically, DW/BI projects have three concurrent development tracks, including:

A.

Technology

B.

Trickle Feeds

C.

Data

D.

BI Tools

E.

Messaging

F.

Streaming

Question # 6

The accepted tenets of bioethics provide a starting point for the principles of data ethics. Which of the following tenets of bioethics is NOT included in the DMBOK2 Chapter on Data Handling Ethics?

A.

Non-Maleficence Principle implies that the harm should not outweigh the benefit

B.

None of these

C.

The Justice Principle considers the fair and equitable treatment of people

D.

The Respect for Persons Principle reflects the fundamental ethical requirement that people be treated in a way that respects their dignity and autonomy as human individuals

E.

The Beneficence Principle has two elements: first, do no harm; second, maximize possible benefits and minimize possible harms

Question # 7

Your organization has many employees with official roles as data stewards and data custodians, but they don't seem to know exactly what they're supposed to be doing. Which of the following is most likely to be a root cause of this problem?

A.

There has been too much investment in Data Governance and data management tools without improving the data

B.

The people who were new to the organization were assigned to Data Governance

C.

People were assigned roles based on a somewhat random connection to the data, and without a clear purpose

D.

The Data Governance initiative leaders are using outdated vocabulary

E.

The data standards are too general and high level for proper enforcement

Question # 8

Developing complex event processing solutions require:

A.

Preparation of historical data and pre-population of a predictive model

B.

Integration testing for subsequent logging requirements

C.

Processing of real-time data stream to fully populate a predictive model and identify meaningful events

D.

Executing the triggered action in response to the prediction

E.

All of the above

F.

None of the above

Question # 9

Orchestration is the term used to describe how multiple processes are organized and executed in a system.

A.

TRUE

B.

FALSE

Question # 10

Machine learning explores the construction and study of learning algorithms.

A.

TRUE

B.

FALSE

Question # 11

What is the best reason for capturing synonyms in a data repository?

A.

Synonyms are good for indexing or for uncontrolled vocabularies

B.

You should capture all synonyms in one place so that Data Governance can decide on the best name for an element

C.

Synonyms are useful in discovering relationships between data elements

D.

Not all parts of an organization may name a field exactly the same, and the synonym will aid in data searches

E.

Without synonyms, you may not realize that two fields are the same

Question # 12

All data is of equal importance. Data quality management efforts should be spread between all the data in the organization.

A.

TRUE

B.

FALSE

Question # 13

Data quality management is a key capability of a data management practice and organization.

A.

TRUE

B.

FALSE

Question # 14

ETL is the basic process which is central to all areas in Data Integration and Interoperability. It is an abbreviation for extract, transition and load.

A.

TRUE

B.

FALSE

Question # 15

Data warehousing describes the operational extract, cleaning, transformation, control and load processes that maintain the data in a data warehouse.

A.

TRUE

B.

FALSE

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