DMF-1220 Exam Questions

Logical abstraction entities become separate objects in the physical database design using one of two methods.

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

Reference and master data require governance processes, including:

Data profiling is a form of data analysis used to inspect data and assess quality.

Effectiveness metrics for a data governance programme includes: achievement of goals and objectives; extend stewards are using the relevant tools; effectiveness of communication; a...

Lack of automated monitoring represents serious risks, including:

The ISO 11179 Metadata registry, an international standard for representing Metadata in an organization, contains several sections related to data standards, including naming attri...

An implemented warehouse and its customer-facing BI tools is a technology product.

Tools required to manage and communicate changes in data governance programs include

Device security standard include:

The first two steps of the Reference data Change request process, as prescribed DMBOk2, include:

SOA is an abbreviation for service orientated architecture.

Implementing a BI portfolio is about identifying the right tools for the right user communities within or across business units.

Many people assume that most data quality issues are caused by data entry errors. A more sophisticated understanding recognizes that gaps in or execution of business and technical...

Metadata is described using different set of categories, including:

Activities that drive the goals in the context diagram are classified into the following phases:

Within each area of consideration mentioned in question 13, they should address morale adversity as per Ethical Risk Model for Sampling Projects.

In designing and building the database, the DBA should keep the following design principles in mind:

Enterprise data architecture description must include both [1] as well as [2]

Business Intelligence, among other things, refer to the technology that supports this kind of analysis.

Effective document management requires clear policies and procedures, especially regarding retention and disposal of records.

Issues caused by data entry processes include:

Examples of technical metadata include:

DAMA International's Certified Data Management Professional (CDMP) certification required that data management professionals subscribe to a formal code of ethics, including an obli...

The information governance maturity model describes the characteristics of the information governance and recordkeeping environment at five levels of maturity for each of the eight...

The load step of the ETL is physically storing or presenting the results of the transformation into the source system.

Typically, DW/BI projects have three concurrent development tracks, including:

Data professional should not balance the short-term versus long-term business interests.

Structural Metadata describe srealtionships within and among resource and enables identification and retrieval.

A metadata repository is essential to assure the integrity and consistent use of an enterprise data model across business processes.

The most informal enterprise data model is the most detailed data architecture design document.

The goal of data architecture is to:

Data architects facilitate alignment between [1] and [2]

A goal of data architecture is to identify data storage and processing requirements.

The deliverables in the data architecture context diagram include:

The purpose of enterprise application architecture is to describe the structure and functionality of applications in an enterprise.

Data governance can be understood in terms of political governance. It includes the following three function types:

The Data Governance Council (DGC) manages data governance initiatives, issues, and escalations.

Data Governance Office (DGO) focuses on enterprise-level data definitions and data management standards across all DAMA-DMBOK knowledge areas. Consists of coordinating data managem...

Three data governance operating models types include:

Data stewardship is the least common label to describe accountability and responsibility for data and processes to ensure effective control and use of data assets.

Please select the correct types of data stewards:

Data asset valuation is the process of understanding and calculating the economic value of data to an organisation. Value comes when the economic benefit of using data outweighs th...

Some ways to measure value of data include:

Please select the correct General Accepted Information Principles:

Data governance program must contribute to the organization by identifying and delivering on specific benefits.

Part of alignment includes developing organizational touchpoints for data governance work. Some examples of touchpoints include: Procurement and Contracts; Budget and Funding; Regu...

In an information management context, the short-term wins and goals often arise from the resolution of an identified problem.

The second stage of Kotter's eight stage process is:

To push up the urgency level requires adding of the sources of complacency or increasing of their impact.