CMA is an abbreviation for Capability Maturity Assessment.
Information gaps represent enterprise liabilities with potentially profound impacts on operational effectiveness and profitability.
An application DBA leads the review and administration of procedural database objects.
Data replication can be active or passive.
Validity, as a dimension of data quality, refers to whether data values are consistent with a defined domain of values.
Valuation information, as an example of data enrichment, is for asset valuation, inventory and sale.
Deliverables in the Metadata Management context diagram include:
Inputs in the data quality context diagram include:
The CAP theorem asserts that the distributed system cannot comply with all the parts of the ACID. A distributed system must instead trade-off between the following properties:
JSON is an open, lightweight standard format for data interchange.
Data Integrity includes ideas associated with completeness, accuracy, and consistency.
The target of organizational change is expedition.
Wat data architecture designs represent should be clearly documented. Examples include:
Data profiling examples include:
The implementation of a Data Warehouse should follow these guiding principles:
XML is the abbreviation for standard mark-up language.
Enterprise data architecture usually include the following work streams:
A deliverable in the data modelling and design context diagram is the logical data model.
Value is the difference between the cost of a thing and the benefit derived from that thing.
ANSI standard 859 has three levels of control of data, based on the criticality of the data and the perceived harm that would occur if data were corrupt or otherwise unavailable, including:
Developing complex event processing solutions require:
The Shewhart chart contains the following elements:
The most informal enterprise data model is the most detailed data architecture design document.
Deliverables in the data management maturity assessment context diagram include:
When constructing an organization’s operating model cultural factors must be taken into consideration.
Data flows map and document relationships between data and:
Enterprise service buses (ESB) are the data integration solution for near real-time sharing of data between many systems, where the hub is a virtual concept of the standard format or the canonical model for sharing data in the organization.
Content needs to be modular, structured, reusable and device and platform independent.
SPARC published their three-schema approach to database management. The three key components were:
SLA Stands for:
Release management is critical to batch development processes that grows new capabilities.
Data handling ethics are concerned with how to procure, store, manage, use and disposeof data in ways that are aligned with ethical principles.
Critical success factors throughout the BI/DW lifecycle include:
All metadata management solutions include architectural layers including:
Enterprise data architecture influences the scope boundaries of project and system releases. An example of influence is data replication control.
For each subject area logical model: Decrease detail by adding attributes and less-significant entities and relationships.
Data parsing is the process of analysing data using pre-determined rules to define its content or value.
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 GARP principles. Please select the correct level descriptions:
Data lineage is useful to the development of the data governance strategy.
Coupling describes the degree to which two systems are intertwined.
A data governance strategy defines the scope and approach to governance efforts. Deliverables include:
Please select the option that correctly orders the models in decreasing level of detail:
DBAs exclusively perform all the activities of data storage and operations.
Please select the correct definition of Data Management from the options below.
What type of key is used in physical and sometimes logical relational data modelling schemes to represent a relationship?
To build models, data modellers heavily rely on previous analysis and modelling work.
Time-based patterns are used when data values must be associated in chronological order and with specific time values.
Resource Description Framework (RDF), a common framework used to describe information about any Web resource, is a standard model for data interchange in the Web.
An image processing system captures, transforms and manages images of paper and electronic documents.
An input in the data architecture context diagram includes data governance.
Service accounts are convenient because they can tailor enhanced access for the processes that use them.
A completely distributed architecture maintains a single access point. The metadata retrieval engine responds to user requests by retrieving data from source systems in real time.
Location Master Data includes business party addresses and business party location, as well as facility addresses for locations owned by organizations.
Please select the answer that does not represent a machine learning algorithm:
The first two steps in the data science process are:
In the context of big data the Three V’s refer to: Volume, Velocity and Validity
Small reference data value sets in the logical data model can be implemented in a physical model in three common ways:
Structural Metadata describe srealtionships within and among resource and enables identification and retrieval.
One of the percentages to measure success of a records management system implantation is the percentage of the identified corporate records declared as such and put under records control.
Consistent input data reduces the chance of errors in associating records. Preparation processes include:
Drivers for data governance most often focus on reducing risk or improving processes. Please select the elements that relate to the reduction in risk:
Vulnerability is defined as:
The operational data quality management procedures depend on the ability to measure and monitor the applicability of data.
Obfuscating or redacting data is the practice of making information anonymous ot removing sensitive information. Risks are present in the following instances:
Select three correct attributes a data governance programme must be:
Changes to reference data do not need to be management, only metadata should be managed.
Enterprise Architecture domains include:
Please select the 3 visuals that depict DAMA’s Data Management Framework.
A limitation of the centralized metadata repository approach is it may be less expensive.
Common OLAP operations include:
Operational reports are outputs from the data stewards.
Please select the correct name for the LDM abbreviation