DAMA DMF-1220 Dumps

Deliverables in the data management maturity assessment context diagram include:

Document and content management is defined as planning, implementation and control activities for storage management of data and information found in any form or medium.

Metadata management solutions include architectural layers including:

Please select the answer that best fits the following description: Contains only real-time data.

Data management professionals who understand formal change management will be more successful in bringing about changes that will help their organizations get more value from their data. To do so, it is important to understand:

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

Layers of data governance are often part of the solution. This means determining where accountability should reside for stewardship activities and who the owners of the data are.

Corporate Information Factory (CIF) components include:

Examples of the ‘Who’ entity category include: employee; patient; player; and suspect.

Reference and master data require governance processes, including:

It is unwise to implement data quality checks to ensure that the copies of the attributes are correctly stored.

Please select the four domains of enterprise architecture:

Data Integration and Interoperability (DII) describes processes related to the movement and consolidation of data within and between data stores, applications and organizations.

ETL is the basic process which is central to all areas in Data Integration and Interoperability. It is an abbreviation for extract, transition and load.

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 Tranform.

BI tool types include:

The flow of data in a data integration solution does not have to be designed and documented.

The biggest business driver for developing organizational capabilities around Big Data and Data Science is the desire to find and act on business opportunities that may be discovered through data sets generated through a diversified range of processes.

The goal of data architecture is to:

The goals of Metadata management include:

Data Governance is at the centre if the data management activities, since governance is required for consistency within and balance between functions.

Effective data management involves a set of complex, interrelated processes that disable an organization to use its data to achieve strategic goals.

One of the deliverables in the Data Integration and Interoperability context diagram is:

Some common data quality business rule types are:

The goals of data security include:

Metrics tied to Reference and Master Data Quality include:

SDLC stands for:

Improving data quality requires a strategy that accounts for the work that needs to be done and the way people will execute it.

Factors that have shown to play a key role in the success in the success of effective data management organizations does not include:

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

When constructing an organization’s operating model cultural factors must be taken into consideration.

Technical metadata describes details of the processing and accessing of data.

What are the primary drivers of data security activities?

Data flows map and document relationships between data and locations where global differences occur.

A e-discovery readiness assessment should examine and identify opportunities for the commercial response program.

Data flows map and document relationships between data and:

The best DW/BI architects will design a mechanism to connect back to transactional level and operational level reports in an atomic DW.

Reference and Master data definition: Managing shared data to meet organizational goals, reduce risks associated with data redundancy, ensure higher quality, and reduce the costs of data integration.

Architecture is the fundamental organization of a system, embodied in its components, their relationships to each other and the environment and the principles governing its design and evolution.

SOA is an abbreviation for service orientated architecture.

Critical success factors throughout the BI/DW lifecycle include:

Data security internal audits ensure data security and regulatory compliance policies are followed should be conducted regularly and consistently.

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

Traditional tool sin data visualtization have both a data and a graphical component. Advanced visualization and discovery tools use in-memory architecture to allow users to interact with the data.

Data parsing is the process of analysing data using pre-determined rules to define its content or value.

Product Master data can only focus on an organization’s internal product and services.

All metadata management solutions include architectural layers including:

The ethics of data handling are complex, but is centred on several core concepts. Please select the correct answers.

There are three techniques for data-based change data capture, namely:

Enterprise Architecture domains include:

Please select the correct General Accepted Information Principles:

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

Type of Reference Data Changes include:

The business glossary should capture business terms attributes such as:

Data quality issues cannot emerge at any point in the data lifecycle.

SSD is the abbreviation for Solid State Dimension.

Hierarchical database model is the newest database model

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

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

Metadata is described using three sets od categories, including:

Several global regulations have significant implications on data management practices. Examples include:

Please select the correct principles of the General Data Protection Regulation (GDPR) of the EU.

There are numerous methods of implementing databases on the cloud. The most common are:

SBA is an abbreviation for service-based architecture.

Bias refers to an inclination of outlook. Please select the types of data bias:

A controlled vocabulary is a defined list of explicitly allowed terms used to index, categorize, tag, sort and retrieve content through browsing and searching.

Analytics models are associated with different depths of analysis, including:

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

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

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

Service accounts are convenient because they can tailor enhanced access for the processes that use them.

Examples of business processes when constructing data flow diagrams include: