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DMF-1220 Practice Questions

Data Management Fundamentals

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Total Questions : 725

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Question # 46

Reference data management entails the preventative maintenance of undefined domain values, definitions and the relationship within and across domain values.

Options:

A.  

TRUE

B.  

FALSE

Discussion 0
Question # 47

Snowflaking is the term given to normalizing the flat, single-table, dimensional structure in a star schema into the respective component hierarchical or network structures.

Options:

A.  

TRUE

B.  

FALSE

Discussion 0
Question # 48

An organization has a legitimate interest in commercializing data. So why is the economic value of data a core concept of data handling ethics?

Options:

A.  

It is critical that customers are not exploited in ways that are detrimental to the customer in the long run

B.  

In owning data, we have a commitment to society to determine how value can be accessed and who can derive this value

C.  

Data is used in every business process. The effectiveness of the process is dependent on the quality of the data it is dependent on

D.  

An organization does not own its customer data so it is illegal to monetize the data

E.  

Organizations dependent on information to provide product and services that meet Customer and Community needs, must ensure the ethical handling of customer information

Discussion 0
Question # 49

Uniqueness, as a dimension of data quality, states no entity exists more than once within the data set.

Options:

A.  

TRUE

B.  

FALSE

Discussion 0
Question # 50

Master data is an aggregation of:

Options:

A.  

Transaction Structure Data

B.  

Database Structure Data

C.  

Reference Data

D.  

Enterprise Structure Data

Discussion 0
Question # 51

Machine learning explores the construction and study of learning algorithms.

Options:

A.  

TRUE

B.  

FALSE

Discussion 0
Question # 52

A hacker is a person who finds unknown operations and pathways within complex computer system. Hackers are only bad.

Options:

A.  

TRUE

B.  

FALSE

Discussion 0
Question # 53

The purpose for adding redundancy to a data model (denormalisation) is to:

Options:

A.  

Make it easier for developers to join tables

B.  

Avoid the loss of data by storing key values more than once

C.  

Improve aggregate database performance across read requests

D.  

Fully utilize all the indexes

E.  

Ensure surrogate keys are retaining their unique values in all satellite tables

Discussion 0
Question # 54

A data dictionary is necessary to support the use of a DW.

Options:

A.  

TRUE

B.  

FALSE

Discussion 0
Question # 55

A Global ID is the MDM solution-assigned and maintained unique identifier attached to reconciled records.

Options:

A.  

TRUE

B.  

FALSE

Discussion 0
Question # 56

Which of these is not a goal of Data Governance and Stewardship?

Options:

A.  

Define, approve, communicate, and implement principles, policies, procedures, metrics, tools, and responsibilities for data management

B.  

Monitor and guide policy compliance, data usage, and management activities

C.  

Help the data modelers to use data elements that have gone through Data Governance processes

D.  

Enable an organization to manage its data as an asset

E.  

Ensure that the privacy and confidentiality needs of all stakeholders are enforced and audited

Discussion 0
Question # 57

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

Options:

A.  

TRUE

B.  

FALSE

Discussion 0
Question # 58

SOA stands for:

Options:

A.  

Service orchestrated architecture

B.  

Service orientated access

C.  

Service orientated architecture

D.  

Service overall architecture

Discussion 0
Question # 59

Deliverables in the data management maturity assessment context diagram include:

Options:

A.  

Maturity baseline

B.  

Roadmap

C.  

Executive briefings

D.  

Recommendations

E.  

Risk assessment

F.  

Ratings and ranks

Discussion 0
Question # 60

The European Commission Article 29 Data Protection Working Party provides a set of criteria to evaluate anonymization methods. What do they recommend?

Options:

A.  

It is useful to use small groups because it is not possible to discover the identity of an individual from a small group of individuals.

B.  

Datasets that includes individuals occupations as well as demographic information could never be linked to publicly available profiles.

C.  

Delete particular types of data to prevent identification of an individual. This is better than masking data.

D.  

Anonymity is protected when it is only possible to analyse sizable 'clusters' of individuals who cannot be distinguished from one another based on their attributes.

E.  

Use Social Media data because people have already shared their information and do not care about anonymity.

Discussion 0
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