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DMF-1220
Data Management Fundamentals Questions and Answers

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Viewing questions 151-165 out of questions

Questions # 151:

Changes to reference data do not need to be management, only metadata should be managed.

Options:

TRUE

FALSE

Answer

Questions # 152:

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

Options:

Synonyms are good for indexing or for uncontrolled vocabularies

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

Synonyms are useful in discovering relationships between data elements

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

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

Answer

Explanation

Capturing synonyms in a data repository aids search and integration across diverse naming conventions. The DAMA-DMBOK states: “Synonyms in a data repository enable effective data searches by accommodating different naming conventions across the organization, improving findability and integration” (DMBOK2, Chapter 11: Metadata Management, p. 447). Option D is the most accurate.

[Reference:DAMA-DMBOK2, Chapter 11: Metadata Management, Section 3.3, p. 447., ]

Questions # 153:

A Data Management Maturity Assessment (DMMA) can be used to evaluate data management overall, or it can be used to focus on a single Knowledge Area or even a single process.

Options:

TRUE

FALSE

Answer

Questions # 154:

Why is it important to create short-term wins when rolling out a Data Governance initiative?

Options:

Staff turnover in most organisations makes longer term planning impossible

Short term wins help ensure on-going political support

Short term wins help to distract stakeholders from delayed delivery on bigger issues

You need to align your deliverables with internal project budgeting cycles

People find it hard to sustain commitment to change if they do not see compelling results within a relatively short time period

Answer

B, E

Questions # 155:

An authoritative system where data is created/captured, and/or maintained through

a defined set of rules and expectations is called:

Options:

A System of Systems

A System of Retirement

A System of Record

A System of Reference

A System of Referential Integrity

Answer

Questions # 156:

The most common drivers for initiating a Mater Data Management Program are:

Options:

Metadata insecurity

Managing data quality

Reducing risk

Managing the costs of data integration

Meeting organizational data requirements

Reducing latency

Answer

B, C, D, E

Questions # 157:

All DMM and Data Governance assessments should identify its objectives and goals for improvement. This is important because:

Options:

There is always room for improvement

An assessment without goals and objectives will not have a conclusion

The assessment team has to be aware of the objectives to be successful

Data management and Data Governance assessments have different goals and objectives

Assessment objectives start at the business drivers (for funding), goals to describe focus, and objectives to provide specific expectations and criteria for evaluation for success

Answer

Questions # 158:

What types of data are considered Technical Data?

Options:

Data standards; ETL job details; source-to-target mappings

Valid value constraints; File format schemas; data models; data access rights

Attributes that are only used for status reporting; data quality rules; data usage, database table names

Physical database and column names; ETL job details; recovery and backup rules; data access rights

Physical data models; calculations and algorithms; program and application names

Answer

Questions # 159:

One common KPI of e-discovery is cost reduction.

Options:

FALSE

TRUE

Answer

Questions # 160:

Data management organizational constructs include the following type of model.

Options:

Network operating model

Decentralized operating model

Centralized operating model

Federation operating model

Hybrid operating model

Integrated operating model

Answer

A, B, C, E

Questions # 161:

Metrics tied to Reference and Master Data quality include:

Options:

Strategic usage reporting

Amsterdam Information Model

Data change activity

Total cost of ownership

Answer

C, D

Questions # 162:

Referential Integrity (RI) is often used to update tables without human intervention. Would this be a good idea for reference tables?

Options:

Yes, since Standards Bodies typically supply reference data, the enterprise can automatically update when a new code or value is received

No, updates should always be made directly via data entry or through a specific batch interface based on operator-entered information partly because of regulatory reporting and archiving

Yes, you do not have to worry about archived data with reference data so tables can be updated automatically

No, but an enterprise can use program logic to do updates as there is little potential for problems to occur with reference data

Yes, older transactions do not have to be removed because with the Cloud there is unlimited database storage

Answer

Questions # 163:

Traditional tool sin data visualtization have both a data and a graphical component. Advanced visualization and discovery tools use in-memory architecture to allow users to interact with the data.