Best DMF-1220 Exam Dumps for the Preparation of Latest Exam Questions [Q241-Q261] : Valid Premium Exam : http://premium.validexam.com

NO.241 Customer relationship management systems manage Master Data about customers.

TRUE

FALSE

NO.242 The purpose of enterprise application architecture is to describe the structure and functionality of applications in an enterprise.

TRUE

FALSE

NO.243 The dependencies of enterprise technology architecture are that it acts on specified data according to business requirements.

TRUE

FALSE

NO.244 The goals of Data Integration and Interoperability include:

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.

NO.245 The DMBOK support’s DAMA’s mission by:

Establish a common vocabulary

Guides IT personnel to improve data management

Serving as the fundamental reference guide

roviding a functional framework

NO.246 Please select the transition phases in Bridges’ Transition process:

The neutral zone

The new beginning

The ending

The transition

The translation

The game

NO.247 Please select the four domains of enterprise architecture:

Enterprise software architecture

Enterprise technology architecture

Enterprise business architecture

Enterprise data architecture

Enterprise hardware architecture

Enterprise application architecture

NO.248 The purpose of data governance is to ensure that data is managed properly, according to policies and best practices. Data governance is focused on how decisions are made about data and how people and processes are expected to behave in relation to data.

TRUE

FALSE

NO.249 Business metadata focuses largely on the content and condition of the data and includes details related to data governance.

TRUE

FALSE

NO.250 Machine learning explores the construction and study of learning algorithms.

TRUE

FALSE

NO.251 Class operations can be:

General: Hidden

Public: Externally visible

Internally visible: Visible to children objects

Private: Hidden

NO.252 Creating the CDM involves the following steps:

Select Scheme

Obtain Sign-off

Complete Initial CDM

Select Notation

Incorporate Enterprise Technology

All of the above

NO.253 While the focus of data quality improvement efforts is often on the prevention of errors, data quality can also be improved through some forms of data processing.

TRUE

FALSE

NO.254 Data architects facilitate alignment between [1] and [2]

[1] Business and [2] IT

[1] Technology and [2] Data

[1] Governance and [2] Management

[1] Strategy and [2] Execution

NO.255 Three data governance operating models types include:

Centralized

Decentralized

Feathered

Federated

Replicated

Duplicated

NO.256 Metrics tied to Reference and Master Data Quality include:

Addressing all queries

Data steward coverage

Implementing data management training

Data sharing volume and usage

Data ingestion and consumption

Service level agreements

NO.257 Two risks with the Matching process are:

False positives

False Certainties

False Negatives

False Uncertainties

NO.258 Access to data for Multidimensional databases use a variant of SQL called MDX or Multidimensional expression.

FALSE

TRUE

NO.259 A deliverable in the data security context diagram is the data security architecture.

TRUE

FALSE

NO.260 Reference and master data require governance processes, including:

The data sources to be integrated

Emotions matrix

Compliance framework

The priority and response levels of data stewardship efforts

The conditions of use rules to be followed

None of the above

NO.261 Examples of the ‘Who’ entity category include: employee; patient; player; and suspect.

TRUE

FALSE