DMF-1220 Exam Dumps - DAMA CDMP Questions and Answers

Ensuring the quality of data and information

Preventing unauthorized or inappropriate access, manipulation, or use of data and information

Ensuring the privacy and confidentiality of stakeholder data

Ensuring staff are effectively trained on business operational procedures

Ensuring data can be used effectively to add value to the enterprise

Purge the data in the data marts and reload from the data warehouse

Purge the data in the source system and reload the data warehouse

Purge the data in the data warehouse and copy back to the data mart

Purge the data in the data warehouse and reload from the source systems

Purge the data generally and reload from the best system

Divisional

Tactical

Enterprise

Operating

Profiling Analyst

TRUE

FALSE

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.

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

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

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.

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

Be an excellent program developer & develop a data quality program

Ability to plan, write excellent data requirements, read a data model

Policy implementation, good communication skills, and ability to give presentations

Ability to plan, influencing systems development, good communication skills

Programming skills, ability to work with business

Definitional conformance

Format compliance

Range conformance

Mapping conformance

Contracts

Authority

Compliance

All of the above

Conflicts

Data Efficiency

To increase data redundancy, align information glossaries, and enable anenterprise to exploit machine leaming techniques

To align data systems, improve source system management, and to enable anenterprise exploit machine learning techniques

To increase data distribution, improve information generation, and enable anenterprise to use its data to increase revenue

To reduce data overload, improve information governance, and enable anenterprise to use its data to make better decisions

To reduce data redundancy, improve information consistency, and enable anenterprise to use its data to make better decisions

Auto-normalization features

Backup and recovery utilities

Document and content management

Sophisticated integration capability

Advanced analytics capabilities

Legislative-like functions

Judicial-like functions

Ethical-like functions

Executive functions

Data-like functions

Morality-like functions

TRUE

FALSE

FALSE

TRUE

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

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

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

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

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

Business user

Technical user

Analytical user

None of the above

Advanced user