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DAMA DMF-1220 - Data Management Fundamentals

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Page: 11 / 15
Total 725 questions

Which of the following is a Data Quality principle?

A.

Prevention

B.

Governance

C.

Criticality

D.

Standards Driven

E.

All of these

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

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

In the Information Management Lifecycle, the Data Governance Activity "Define the Data Governance Framework" is considered in which Lifecycle stage?

A.

Create & Acquire

B.

Maintain & Use

C.

Specify

D.

Enable

E.

Plan

Barriers to effective management of data quality include:

A.

Inappropriate or ineffective instruments to measure value

B.

Lack of awareness on the part of leadership and staff

C.

Lack of leadership and management

D.

Lack of business governance

E.

None of the above

F.

Difficulty in justification of improvements

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

A.

TRUE

B.

FALSE

The term data quality refers to both the characteristics associated with high quality data and to the processes used to measure or improve the quality of data.

A.

TRUE

B.

FALSE

Which of the following would NOT be an interest of Data Governance?

A.

Inconsistent definitions

B.

Competing versions of source data

C.

Metadata

D.

Database development

E.

Redundant data

Enterprise data architecture influences the scope boundaries of project and system releases. An example of influence is data replication control.

A.

FALSE

B.

TRUE

The dependencies of enterprise technology architecture are that it acts on specified data according to business requirements.

A.

TRUE

B.

FALSE

Data models are critical to effective management of data. They:

A.

Provide a common vocabulary around data

B.

Capture and document explicit knowledge about an organization’s data and systems

C.

Serve as a primary communication tool during projects

D.

Provide the starting point for customizations, integration or even replacement of an application

E.

Provide the organisation with clear system of the architecture

F.

Make the integration between data management and data analytics possible

What are the three characteristics of effective Data Governance communication?

A.

It must be clear, unambiguous, and consistent

B.

It must be consistent, unambiguous, engaging

C.

It must be viral, vital, and have volume

D.

It must be colorful, engaging, using multi-media

E.

It must be clear, structured, repetitive

Please select the correct name for the PDM abbreviation when referring to modelling.

A.

Physical Dimension Model

B.

Photo Data Model

C.

None of the above

D.

Probabilistic Dimension Model

E.

Photo Dimensional Model

F.

Physical Data Model

Small reference data value sets in the logical data model can be implemented in a physical model in three common ways:

A.

Create a matching separate code table

B.

Create a master shared code table

C.

None of the above

D.

Program integration by joining tables

E.

Embed rules or valid codes into the appropriate object’s definition.

F.

Roadmap Development

You have completed analysis of a Data Governance issue in your organisation and have presented your findings to the executive management team. However, your findings are not greeted warmly and you find yourself being blamed for the continued existence of the issue. What is the most likely root cause for this?

A.

You did not secure appropriate budget or resources for the engagement and did not properly define the project charter

B.

You failed to correctly scope the analysis project and did not secure resources to deliver a fully executed solution to address root causes

C.

You failed to communicate to your team the importance of achieving a workable solution to the issues identified

D.

You failed to correctly manage expectations about the roles, responsibilities, and accountabilities for Data Governance in the organisation and are dependent on other areas to execute your recommendations

E.

You adopted an incorrect methodology to your Data Governance and have failed to execute necessary information management tasks

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

A.

Staff turnover in most organisations makes longer term planning impossible

B.

Short term wins help ensure on-going political support

C.

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

D.

You need to align your deliverables with internal project budgeting cycles

E.

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