DMF-1220 Exam Dumps - DAMA CDMP Questions and Answers

TRUE

FALSE

Exercise of authority, formalization of reporting lines, implementation of supporting technology, definition of common glossaries

Alignment of Business and IT strategies, definition of data standards, implementation of Data Governance and metadata software tools

Agreed models for decision making and decision rights, defined authority and escalation paths, structures for assigning accountability and delegating responsibility, alignment with business objectives

Agreed architectures, transparent policies, shared language, effective tools, delegated authority, stewardship

Agreed models for data design and definition, decision rights regarding standards and controls, delegation of accountability

Provides explanation to customers during an unplanned disruption in service

Precedes business rules

Explains to external stakeholders why performance expectations are not being met

Outlines how a business will continue operating during an unplanned disruption in service

Defines unplanned disruptions that may occur

a patch in a system that allows it to be successfully unpatched and compromised.

being highly data risk rated

a strength in a system that allows external stakeholders to view data records.

a weakness or defect in a system that allows it to be successfully attacked and compromised.

To share the data across the organization

To keep data away from the public

To resolve many-to-many relationships

To collect as much data as possible into the data repository

To keep data for each department separate because no one needs all the data

A business Case for better data management

A description of data management roles & organizations

An outline of 'as is' and 'to be' technical architectures

A data management roadmap, highlighting major activities

A vision statement for data management

TRUE

FALSE

TRUE

FALSE

TRUE

FALSE

Provide data securely, with regulatory compliance, in the format and timeframe needed.

Lower cost and complexity of managing solutions by developing shared models and interfaces.

Managing the availability of data throughout the data lifecycle

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

Identify meaningful events and automatically trigger alerts and actions.

Support business intelligence, analytics, master data management and operational efficiency efforts.

A data model

An organizational statistic

A biased report

A level of data not usable by Data Scientists

A data swamp

Reference data integration

Fact data integration

Master data integration

Analytics data integration

Transaction data integration

FALSE

TRUE

TRUE

FALSE

All of the above

Streaming

Messaging

Technology

Data

Trickle Feeds