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DAMA
CDMP
DMF-1220
Data Management Fundamentals Questions and Answers

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Viewing questions 106-120 out of questions

Questions # 106:

Sustainable Data Governance depends on:

Options:

Rapid response to critical data issues

The maturity level of the organization

Business leadership, sponsorship, and ownership

Well-documented policies

Definition of 10-11 principles

Answer

Explanation

Sustainable data governance relies on business leadership and ownership. The DAMA-DMBOK states: “Sustainable data governance depends on strong business leadership, sponsorship, and ownership to ensure alignment with organizational goals and long-term commitment” (DMBOK2, Chapter 3: Data Governance, p. 107). Option C is correct.

[Reference:DAMA-DMBOK2, Chapter 3: Data Governance, Section 2.3, p. 107., ]

Questions # 107:

Some ways to measure value of data include:

Options:

Replacement cost

Market value

Selling Data

Risk cost

Identified opportunities

All of the above

Answer

Questions # 108:

Data asset valuation is the process of understanding and calculating the economic value of data to an organisation. Value comes when the economic benefit of using data outweighs the costs of acquiring and storing it, as

Options:

TRUE

FALSE

Answer

Questions # 109:

An Operational Data Mart is a data mart focused on tactical decision support.

Options:

TRUE

FALSE

Answer

Questions # 110:

Misleading visualisations could be an example where a base level of truthfulness and transparency are not adhered to.

Options:

TRUE

FALSE

Answer

Questions # 111:

Examples of interaction models include:

Options:

Hub-and-spoke

Publish - subscribe

Point-to-point

Wheel-and-spike

Answer

A, B, C

Questions # 112:

One of the difficulties when integrating multiple source systems is:

Options:

Maintaining documentation describing the data warehouse operation

Determining valid links or equivalences between data elements

Modifying the source systems to align to the enterprise data model

Having a data quality rule applicable to all source systems

Completing the data architecture on time for the first release

Answer

Explanation

Integrating multiple source systems is challenging due to the need to identify valid links or equivalences between data elements across systems (e.g., matching customer IDs). The DAMA-DMBOK states: “A key challenge in data integration is determining equivalences between data elements from disparate sources, requiring mapping and transformation to ensure consistency” (DMBOK2, Chapter 13: Data Integration and Interoperability, p. 513).

Options A, C, D, and E are challenges but less central: documentation (A) is operational, modifying systems (C) is often impractical, universal rules (D) are difficult but secondary, and architecture timing (E) is project-related.

[Reference:DAMA-DMBOK2, Chapter 13: Data Integration and Interoperability, Section 3.2, p. 513., ]

Questions # 113:

The disclosure of sensitive addresses may occur through:

Options:

Inappropriate use of photocopier toner

Ineffective implementation of data architecture

Cloud-based databases

Stored procedures being called directly

Software ignoring privacy tags on the data.

Answer

Questions # 114:

SOA is an abbreviation for service orientated architecture.

Options:

FALSE

TRUE

Answer

Questions # 115:

OCR is the abbreviation for Optical Character Recognition.

Options:

TRUE

FALSE

Answer

Questions # 116:

Over a decade an organisation has rationalised implementation of party concepts

from 48 systems to 3. This is a result of good:

Options:

Data quality and data governance

Data architecture and data warehousing

Data operations and system rationalization

System rationalization and metadata management

Data architecture and data governance

Answer

Questions # 117:

JSON is an open, lightweight standard format for data interchange.

Options:

FALSE

TRUE

Answer

Questions # 118:

There are three techniques for data-based change data capture, namely:

Options:

The source system populates specific data elements.

Application automated interfaces

The source system processes copy data that has changed into a separate object as part of the transaction, which is then used for the extract process.

The source systems send binary code through ASCI that makes the process rapid.

The source system processes add to a simple list of objects and identifiers when changing data, which is then used to control selection of data extraction.

None of the above

Answer

A, C, E

Questions # 119:

The most informal enterprise data model is the most detailed data architecture design document.

Options:

TRUE

FALSE

Answer

Questions # 120:

Enterprise data architects in an application migration project are primarily concerned with:

Options:

Mapping of data to business processes

Changes to business processes

Resolving data complexity

Data mapping specifications

Mapping outliers

Answer

Explanation

In application migration projects, enterprise data architects focus on aligning data with business processes to ensure the new system supports organizational goals. The DAMA-DMBOK states: “Data architects are responsible for mapping data to business processes to ensure that data structures support business capabilities during system migrations” (DMBOK2, Chapter 4: Data Architecture, p. 141).

Options B, C, D, and E are secondary: B involves process owners, C and E are vague, and D is a tactical task, not the primary concern.

[Reference:DAMA-DMBOK2, Chapter 4: Data Architecture, Section 3.1, p. 141., ]

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