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DAMA DMF-1220 - Data Management Fundamentals

Page: 12 / 15
Total 725 questions

Data stewardship is the least common label to describe accountability and responsibility for data and processes to ensure effective control and use of data assets.

A.

TRUE

B.

FALSE

CMDB provide the capability to manage and maintain Metdata specifically related to the IT assets, the relationships among them, and contractual details of the assets.

A.

TRUE

B.

FALSE

Dimensions of data quality include:

A.

Validity

B.

Privacy

C.

Innovation

D.

Accessibility

E.

Currency

F.

All of the above

The CAP theorem asserts that the distributed system cannot comply with all the parts of the ACID. A distributed system must instead trade-off between the following properties:

A.

Consistency

B.

Utilization

C.

Availability

D.

System development

E.

Partition tolerance

F.

All of the above

Three data governance operating models types include:

A.

Centralized

B.

Decentralized

C.

Feathered

D.

Federated

E.

Replicated

F.

Duplicated

Examples of transformation in the ETL process onclude:

A.

De-duping

B.

Structure changes

C.

Hierarchical changes

D.

Re-ordering

E.

Semantic conversions

F.

None of the above

Triplestores can be classified into these categories:

A.

Native triplestores

B.

All of the above

C.

None of the above

D.

RDMS-backed triplestores

E.

NoSQL triplestores

F.

MapReduce triplestores

Issues caused by data entry processes include:

A.

Training issues

B.

List entry replacement

C.

Software issues

D.

Soft state issues

E.

Change to business processes

F.

Inconsistent business process execution

There are several reasons to denormalize data. The first is to improve performance by:

A.

Creating smaller copies of fata to reduce costly run-time calculations and/or table scans of large tables.

B.

None of the above

C.

Pre-calculating and sorting costly data calculations to avoid runt-time system resource competition.

D.

Making tables more readable when no foreign key exists

E.

Combining data from multiple other tables in advance to avoid costly run-time joins

F.

All of the above

A project scope requires the collection, exchange, and reporting of data from multiple in-house custom systems. Documents gathered include business concepts, existing database schemas, XSDs, and reporting layouts. How many models of each layer of abstraction can be expected?

A.

More XSDs than reporting layouts

B.

The same number of each of the model types

C.

More physical data models than logical data models, and more logical data models than conceptual data models

D.

Only 1 conceptual data model, 1 logical data model, and 1 physical data model

E.

More conceptual data models than physical data models

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

A.

TRUE

B.

FALSE

Business activity information is one of the types of data that can be modelled.

A.

TRUE

B.

FALSE

Communications are essential to the success of a DMM or Data Governance assessment. Communications are important because:

A.

Communications can influence the socialization and acceptance of the results and implementation of a data management or Data Governance program

B.

Many organizations will overlook the communications aspect of a data management or Data Governance assessment

C.

Findings may affect stakeholder's positions and roles

D.

Each organization will approach data management and Data Governance communications differently

E.

Data management and Data Governance communications are different from each other

When it comes to Data Governance, what does the Operations Plan include?

A.

The list of events required to implement and operate Data Governance activities

B.

A risk assessment for the enterprise

C.

The types of enterprise operations that need Data Governance

D.

The metrics needed for each department within the organization

E.

The list of activities the Data Stewards will follow to define the data

Organizations should evaluate several maturity assessment models for data management, and for Data Governance, before adopting one or before developing a custom maturity assessment model because:

A.

Choosing a maturity model for an organization is expensive

B.

Vendors may go out of business so organizations need to choose wisely

C.

Performing an assessment without evaluating multiple models does not provide the organization with the ability to use the easiest model

D.

Each maturity model is flawed and the organization must find the flaws and work around them

E.

Each DMMM is based on a specific approach and needs to align with an organization's needs