DMF-1220 Exam Questions

When constructing models and diagrams during formalisation of data architecture there are certain characteristics that minimise distractions and maximize useful information. Charac...

In the Abate Information Triangle the past moves through the following echelons befor it comes insight:

Quality Assurance Testing (QA) is used to test functionality against requirements.

Please select the 3 visuals that depict DAMA's Data Management Framework.

There are three basic approaches to implementing a Master Data hub environment, including:

Development of goals, principles and policies derived from the data governance strategy will not guide the organization into the desired future state.

Examples of concepts that can be standardized within the data architecture knowledge area include:

Data governance requires control mechanisms and procedures for, but not limited to, identifying, capturing, logging and updating actions.

ISO 8000 will describe the structure and organization of data quality management, including:

Sample value metrics for a data governance program include:

The implementation of a Data Warehouse should follow guiding principles, including:

To mitigate risks, implement a network-based audit appliance, which can address most of the weaknesses associated with the native audit tools. This kind of appliance has the follow...

SPARC published their three-schema approach to database management. The three key components were:

Defining quality content requires understanding the context of its production and use, including:

Please select the 2 frameworks that show high-level relationships that influence how an organization manages data.

Please select the option that correctly orders the models in decreasing level of detail:

Data warehouses are often loaded and serviced by a nightly batch window.

The DW encompasses all components in the data staging and data presentation areas, including:

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.

Creating the CDM involves the following steps:

Functionality-focused requirements associated with a comprehensive metadata solution, include:

Access to data for Multidimensional databases use a variant of SQL called MDX or Multidimensional expression.

The most important reason to implement operational data quality measurements is to inform data consumers about levels of data effectiveness.

To build models, data modellers heavily rely on previous analysis and modelling work.

Lack of automated monitoring represents serious risks, including compliance risk.

Orchestration is the term used to describe how multiple processes are organized and executed in a system.

All organizations have the same Master Data Management Drivers and obstacles.

Those responsible for the data-sharing environment have an obligation to downstream data consumers to provide high quality data.

Type of Reference Data Changes include:

Examples of data enhancement includes:

A control activity in the metadata management environment includes loading statistical analysis.

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

Please select the correct component pieces that form part of an Ethical Handling Strategy and Roadmap.

An organization will create an uncover valuable Metadata during the process of developing Data Integration and Interoperability solutions.

Barriers to effective management of data quality include:

Principles for data asset accounting include:

A business driver for Master Data Management program is managing data quality.

The Data Model Scorecard provides 10 data model quality metrics

The data warehouse and marts differ from that in applications as the data is organized by subject rather than function.

Data science depends on:

If the target system has more transformation capability than either the source or the intermediary application system, the order of processes may be switched to ELT ?Extract Load T...

Types of metadata include:

BI tool types include:

The categories of the Data Model Scorecard with the highest weightings include:

DBAs and database architects combine their knowledge of available tools with the business requirements in order to suggest the best possible application of technology to meet organ...

The DMBOK support's DAMA's mission by:

All data is of equal importance. Data quality management efforts should be spread between all the data in the organization.

Triplestores can be classified into these categories:

Data replication can be active or passive.

The target of organizational change is expedition.