Lack of automated monitoring represents serious risks, including compliance risk.
Data governance requires control mechanisms and procedures for, but not limited to, facilitating subjective discussions where managers’ viewpoints are heard.
A ‘Content Distribution Network’ supporting a multi-national website is likely to use:
An image processing system captures, transforms and manages images of paper and electronic documents.
When doing reference data management, there many organizations that have standardized data sets that are incredibly valuable and should be subscribed to. Which of these organizations would be least useful?
An authoritative system where data is created/captured, and/or maintained through
a defined set of rules and expectations is called:
Validity, as a dimension of data quality, refers to whether data values are consistent with a defined domain of 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.
Data Management maturity has many goals for accomplishment including having a positive effect on culture. This is important to a Data Governance program for the following reason:
Examples of concepts that can be standardized within the data quality knowledge area include:
A goal of reference and master data is to provide authoritative source of reconciled and quality-assessed master and reference data.
Which of the following is a directive that codifies principles and management intent
into fundamental rules governing the creation, acquisition, integrity, security, quality,
and use of data and information?
An organization can enhance its Data Governance program and thereby improve its approach to enterprise data management. This is important for the following reason:
Business Intelligence, among other things, refer to the technology that supports this kind of analysis.
Bias refers to an inclination of outlook. Please select the types of data bias:
Primary deliverables of the Data Warehouse and Business Intelligence context diagram include:
Content management includes the systems for organizing information resources so that they can specially be stored.
Examples of the ‘Who’ entity category include: employee; patient; player; and suspect.
One of the deliverables in the Data Integration and Interoperability context diagram is:
Various Regulations require evidence of clear data lineage and accuracy. How can we as data managers best serve our enterprises in achieving this goal?
Considerations for whether to integrate two data stores should include all except
the:
The CAP theorem states that at most two of the three properties: consistency, availability and partition tolerance can exist in any shared data system.
Information gaps represent enterprise liabilities with potentially profound impacts on operational effectiveness and profitability.
The IT security policy provides categories for individual application, database roles, user groups and information sensitivity.
Over a decade an organisation has rationalised implementation of party concepts
from 48 systems to 3. This is a result of good:
Effective data management involves a set of complex, interrelated processes that disable an organization to use its data to achieve strategic goals.
The accepted tenets of bioethics provide a starting point for the principles of data ethics. Which of the following tenets of bioethics is NOT included in the DMBOK2 Chapter on Data Handling Ethics?
Which of the following is NOT required to effectively track data quality incidents?
Data governance requires control mechanisms and procedures for, but not limited to, identifying, capturing, logging and updating actions.
Data Management Professionals only work with the technical aspects related to data.
Poorly managed Metadata leads to, among other, redundant data and data management processes.
Top down' and "bottom up' data analysis and profiling is best done in concert
because:
ISO 8000 will describe the structure and organization of data quality management, including:
Archiving is the process of moving data off immediately accessible storage media and onto media with lower retrieval performance.
The advantage of a decentralised Data Governance model over a centralised model is:
Volume refers to the amount of data. Big Data often has thousands of entities or elements in billions of records.
ISO 8000 will describe the structure and the organization of data quality management, including:
Please select the 2 frameworks that show high-level relationships that influence how an organization manages data.
Deliverables in the data management maturity assessment context diagram include:
The search function associated with a document management store is failing to return known artefacts. This is due to a failure of:
A synonym for transformation in ETL is mapping. Mapping is the process of developing the lookup matrix from source to target structures, but not the result of the process.
Location Master Data includes business party addresses and business party location, as well as facility addresses for locations owned by organizations.
In gathering requirements for DW/BI projects, begin with the data goals and strategies first.
Functionality-focused requirements associated with a comprehensive metadata solution, include:
Several global regulations have significant implications on data management practices. Examples include:
The term data quality refers to only the characteristics associated with high quality data.
Gathering and interpreting results from a DMM or Data Governance assessment are important because:
In matching, false positives are three references that do not represent the same entity are linked with a single identifier.
Data security internal audits ensure data security and regulatory compliance policies are followed should be conducted regularly and consistently.
The primary goal of data management capability assessment is to evaluate the current state of critical data management activities in order to plan for improvement.
Tools required to manage and communicate changes in data governance programs include
A database uses foreign keys from code tables for column values. This is a way of
implementing:
Data governance can be understood in terms of political governance. It includes the following three function types:
Data Storage and Operations: The design, implementation and support of stored data to maximize its value.
Periodic archiving of transaction data from a production CRM system is critical for:
Obfuscating or redacting data is the practice of making information anonymous ot removing sensitive information. Risks are present in the following instances:
When developing a Data Governance operating framework, what areas should be considered?
A dimensional physical data model is usually a star schema, meaning there is one structure for each dimension.
Modeling Bid data is a non-technical challenge but critical if an organization that want to describe and govern its data.
Master data management includes several basic steps, which include: Develop rules for accurately matching and merging entity instances.
Through similarity analysis, slight variation in data can be recognized and data values can be consolidated. Two basic approaches, which can be used together, are:
There is a global trend towards increasing legislative protection of individual's information privacy. Which of these is an emerging topic related to online ethical behaviours?
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.
Please select correct term for the following sentence: An organization shall assign a senior executive to appropriate individuals, adopt policies and processes to guide staff and ensure program audibility.
Governance ensures data is managed, but is not include the actual act of managing data.
Misleading visualisations could be an example where a base level of truthfulness and transparency are not adhered to.
Effective data management involves a set of complex, interrelated processes that enable an organisation to use its data to achieve strategic goals.
A ‘Golden Record’ means that it is always a 100% complete and accurate representation of all entities within the organization.
How do data management professionals maintain commitment of key stakeholders to the data management initiative?
Defining quality content requires understanding the context of its production and use, including:
Change only requires change agents in special circumstances, especially when there is little to no adoption.
Data professional should not balance the short-term versus long-term business interests.
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.
Typically, DW/BI projects have three concurrent development tracks, including:
Operationality and interoperability depends on the data quality. In order to measure the efficiency of a repository the data quality needs to be:
The load step of the ETL is physically storing or presenting the results of the transformation into the source system.
Data Warehouse describes the operational extract, cleansing, transformation, control and load processes that maintain the data in a data warehouse.
Organizations are legally required to protect privacy by identifying and protecting sensitive data. Who usually identifies the confidentiality schemes and identify which assets are confidential or restricted?
For each subject area logical model: Decrease detail by adding attributes and less-significant entities and relationships.
The need to manage data movement efficiently is a primary driver for Data Integration and Interoperability.
Domains can be identified in different ways including: data type; data format; list; range; and rule-based.
Data professionals involved in Business Intelligence, analytics and Data Science are often responsible for data that describes: who people are; what people do; where people live; and how people are treated. The data can be misused and counteract the principles underlying data ethics.
Data science merges data mining, statistical analysis, and machine learning with the integration and data modelling capabilities, to build predictive models that explore data content patterns.
A sandbox environment can either be a sub-set of the production system, walled off from production processing or a completely separate environment.
Which model has one Data Governance organization coordinate with multiple Business Units to maintain consistent definitions and standards?
Implementing a BI portfolio is about identifying the right tools for the right user communities within or across business units.
In the context of big data the Three V’s refer to: Volume, Velocity and Validity
The categories of the Data Model Scorecard with the highest weightings include:
When constructing an organization’s operating model cultural factors must be taken into consideration.
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.
As an often-overlooked aspects of basic data movement architecture, Process controls include:
Data quality management is a key capability of a data management practice and organization.
Which of the following is not a step in the 'document and content management
lifecycle'?
An enterprise's organisation chart has multiple levels, each with a single reporting
line. This is an example of a:
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.
A catastrophic system failure due to processing attachments that are too large may
be solved by:
A goal of a Reference and Master Data Management program include enabling master and reference data to be shared across enterprise functions and applications.
Which Data Architecture artefact contains the names of key business entities, their
relationships, critical guiding business rules and critical attributes?
There are several reasons to denormalize data. The first is to improve performance by:
The European Commission Article 29 Data Protection Working Party provides a set of criteria to evaluate anonymization methods. What do they recommend?
A pensioner who usually receives a quarterly bill of around $300 was sent a
$100,000,000 electricity bill. They were a victim of poor data quality checks in
which dimension?
Elements that point to differences between warehouses and operational systems 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 organizational goals.
A data warehouse deployment with multiple ETL, storage and querying tools often
suffers due to the lack of:
Which statement best describes the relationship between documents and records?
Enterprise data architecture influences the scope boundaries of project and system releases. An example of influence is data replication control.
Development of goals, principles and policies derived from the data governance strategy will not guide the organization into the desired future state.
Data Governance is at the centre if the data management activities, since governance is required for consistency within and balance between functions.
Data modelling tools are software that automate many of the tasks the data modeller performs.
One of the key differences between operational systems and data warehouses is:
An effective Data Governance communication program should include the following:
Over a decade an organization has rationalized implementation of party concepts from 48 systems to 3. This is a result of good:
Orchestration is the term used to describe how multiple processes are organized and executed in a system.
Please select the option that correctly orders the models in decreasing level of detail:
In Resource Description Framework (RDF) terminology, a triple store is composed of a subject that denotes a resource, the predicate that expresses a relationship between the subject and the object, and the object itself.
Data flows map and document relationships between data and locations where global differences occur.
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 business glossary application is structured to meet the functional requirements of the three core audiences:
When starting a Data Governance initiative it is important to understand what the Business cannot achieve due to data issues because:
Looking at the DMBoK definition of Data Governance, and other industry definitions, what are some of the common key elements of Data Governance?
The database administrator (DBA) is the most established and the most widely adopted data professional role.
Please select the answer that does not represent a machine learning algorithm:
Subtype absorption: The subtype entity attributes are included as nullable columns into a table representing the supertype entity
Different levels of policy are required to govern behavior to enterprise security. For example:
A e-discovery readiness assessment should examine and identify opportunities for the commercial response program.
Data quality rules and standards are a critical form of Metadata. Ti be effective they need to be managed as Metadata. Rules include:
The difference between warehouses and operational systems do not include the following element:
What are some of the business drivers for the ethical handling of data that Data Governance should satisfy?
People often incorrectly combine the concepts of data management and information technology into one. Which of the following is NOT an example of this?
Please select the correct name for the PDM abbreviation when referring to modelling.
Achieving near-real-time data replication, using a source accumulation technique,
triggers on:
Which of the following is NOT a valid Data Governance programme Key Performance Indicator (KPI)?
'Planning, implementation and control activities for lifecycle management of data and
information, found in any form or medium', pertains to which knowledge area?
What position should be responsible for leading the Data Governance Council (DGC)?
What area do you not consider when developing a 'Data Governance operating model?
Small reference data value sets in the logical data model can be implemented in a physical model in three common ways:
Improving data quality requires a strategy that accounts for the work that needs to be done and the way people will execute it.
Architects seek to design in a way that brings value to an organisation. To reach these goals, data architects define and maintain specifications that:
Characteristics that minimise distractions and maximise useful information include, but not limited to, consistent object attributes
A Global ID is the MDM solution-assigned and maintained unique identifier attached to reconciled records.
The goal of Data Governance is to enable an organization to manage data as an asset. To achieve this overall goal, a DG program must be:
The goals of data security practices is to protect information assets in alignment with privacy and confidentiality regulations, contractual agreements and business requirements. These requirements come from:
A successful Data Governance program requires that all enterprise data be certified.
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TESTED 16 Jun 2025
