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Decentralized informality can be made more formal through a documented series of connections and accountabilities via a RACI matrix.
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.
DAMA International’s Certified Data Management Professional (CDMP) certification required that data management professionals subscribe to a formal code of ethics, including an obligation to handle data ethically for the sake of society beyond the organization that employs them.
Top down' and "bottom up' data analysis and profiling is best done in concert
because:
Business continuity is an aspect of Governance. What should a business continuity plan include?
Functionality-focused requirements associated with a comprehensive metadata solution, include:
The failure to gain acceptance of a business glossary may be due to ineffective:
Data Integration and Interoperability is dependent on these other areas of data management:
Which of the following is not a step in the 'document and content management
lifecycle'?
What position is responsible for the quality and use of their organization’s data assets?
The Belmont principles that may be adapted for Information Management disciplines, include:
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.
Integration of ETL data flows will usually be developed within tools specialised to manage those flows in a proprietary way.
The European Commission Article 29 Data Protection Working Party provides a set of criteria to evaluate anonymization methods. What do they recommend?
Data architect: A senior analyst responsible for data architecture and data integration.
The need to manage data movement efficiently is a primary driver for Data Integration and Interoperability.
One of the deliverables in the Data Integration and Interoperability context diagram is:
A database uses foreign keys from code tables for column values. This is a way of
implementing:
Reference data management entails the preventative maintenance of undefined domain values, definitions and the relationship within and across domain values.
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?
Please select the 2 frameworks that show high-level relationships that influence how an organization manages data.
Data governance can be understood in terms of political governance. It includes the following three function types:
Data Integration and Interoperability (DII) describes processes related to the movement and consolidation of data within and between data stores, applications and organizations.
Business rules describe why business should operate internally, in order to be successful and compliant with the outside world.
A weakness or defect in a system that allows it to be successfully attacked and
compromised is a:
Effective data management involves a set of complex, interrelated processes that disable an organization to use its data to achieve strategic goals.
Please select the user that best describes the following description: Uses the business glossary to make architecture, systems design, and development decisions, and to conduct the impact analysis.
Business requirements is an input in the Data Warehouse and Business Intelligence context diagram.
The roles associated with enterprise data architecture are data architect, data modellers and data stewards.
CMDB provide the capability to manage and maintain Metdata specifically related to the IT assets, the relationships among them, and contractual details of the assets.
Because Data Governance activities require coordination across functional areas, the DG program must establish an ___________ that defines accountabilities and intersections.
XML provides a language for representing both structures and unstructured data and information.
A dimensional physical data model is usually a star schema, meaning there is one structure for each dimension.
Factors that have shown to play a key role in the success in the success of effective data management organizations does not include:
What ISO standard defines characteristics that can be tested by any organisation in the data supply chain to objectively determine conformance of the data to this ISO standard.
How does the DMBOK refer to an organization that values data as an asset and manages data through all phases of its lifecycle?
According to the DMBoK, Data Governance is central to Data Management. In practical terms, what other functions of Data Management are required to ensure that your Data Governance programme is successful?
A control activity in the metadata management environment includes loading statistical analysis.
How can the Data Governance process best support Regulatory reporting requirements?
Data modelling tools and model repositories are necessary for managing the enterprise data model in all levels.
What position should be responsible for leading the Data Governance Council (DGC)?
Select the areas to consider when constructing an organization’s operating model:
Gathering and interpreting results from a DMM or Data Governance assessment are important because:
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.
A sandbox environment can either be a sub-set of the production system, walled off from production processing or a completely separate environment.
Please select the answer that best fits the following description: Contains only real-time data.
Where does the ethical responsibility lie with respect to managing data to reduce risks of misrepresentation, misuse, or misunderstanding?
Business glossary is not merely a list of terms. Each term will be associated with other valuable metadata such as synonyms, metrics, lineage, or:
Business people must be fully engaged in order to realize benefits from the advanced analytics.
A ‘Content Distribution Network’ supporting a multi-national website is likely to use:
People often incorrectly combine the concepts of data management and information technology into one. Which of the following is NOT an example of this?
Data flows map and document relationships between data and locations where global differences occur.
Use business rules to support Data Integration and Interoperability at various points, to:
Business activity information is one of the types of data that can be modelled.
The database administrator (DBA) is the most established and the most widely adopted data professional role.
For each subject area logical model: Decrease detail by adding attributes and less-significant entities and relationships.
Product Master data can only focus on an organization’s internal product and services.
Data security internal audits ensure data security and regulatory compliance policies are followed should be conducted regularly and consistently.
When developing a Data Governance operating framework, what areas should be considered?
Some document management systems have a module that may support different types of workflows such as:
An advantage of a centralized repository include: Quick metadata retrieval, since the repository and the query reside together.
Which of the following is NOT a valid Data Governance programme Key Performance Indicator (KPI)?
Drivers for data governance most often focus on reducing risk or improving processes. Please select the elements that relate to the reduction in risk:
Media monitoring and text analysis are automated methods for retrieving insights from large unstructured or semi-structured data, such as transaction data, social media, blogs, and web news sites.
When measuring the value of data architecture one should be most concerned about
Which artifact is the highest level of abstraction in the Enterprise Data Model?
Measuring the effects of change management on in five key areas including: Awareness of the need to change; Desire to participate and support the change; Knowledge about how to change; Ability to implement new skills and behaviors; and Reinforcement to keep the change in place.
The Data Warehouse (DW) is a combination of three primary components: An integrated decision support database, related software programs and business intelligence reports.
Data Management and Data Governance Maturity models require planning before implementation. Planning is important because:
The load step of ETL is physically storing or presenting the results of the transformation in the target system.
Archiving is the process of moving data off immediately accessible storage media and onto media with lower retrieval performance.
Drivers for data governance most often focus on reducing risk or improving processes. Please select the elements that relate to the improvement of processes:
Data governance requires control mechanisms and procedures for, but not limited to, escalating issues to higher level of authority.
Assessment criteria are broken into levels, and most capability maturity models use five (5) levels. This is important since:
Bias refers to an inclination of outlook. Please select the types of data bias:
When we consider the DMBoK2 definition of Data Governance, and the various practitioner definitions that exist in the literature, what are some of the key elements of Data Governance?
Architects seek to design in a way that brings value to an organisation. To reach these goals, data architects define and maintain specifications that:
ISO 8000 will describe the structure and organization of data quality management, including:
What business function is best aligned to deliver oversight to data architecture ?
The operational data quality management procedures depend on the ability to measure and monitor the applicability of data.
As an often-overlooked aspects of basic data movement architecture, Process controls include:
Please select the answers that correctly describes the set of principles that recognizes salient features of data management and guide data management practice.
An effective team is based on two simple foundations: trust and a common goal.
Content management includes the systems for organizing information resources so that they can specially be stored.
Which of the following activities is most likely to maintain bias in data analysis?
Differentiating between data and information. Please select the correct answers based on the sentence below: Here is a marketing report for the last month [1]. It is based on data from our data warehouse[2]. Next month these results [3] will be used to generate our month-over-month performance measure [4].
Master data management includes several basic steps, which include: Develop rules for accurately matching and merging entity instances.
The data in Data warehouses and marts differ. Data is organized by subject rather than function
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:
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.
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.
The repeated implementation of different CRM technologies with different data
structures is mostly a failure of:
Data Warehouse describes the operational extract, cleansing, transformation, control and load processes that maintain the data in a data warehouse.
A deliverable in the data architecture context diagram includes an implementation roadmap.
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.
Data professional should not balance the short-term versus long-term business interests.
A successful Data Governance program requires that all enterprise data be certified.
The Zachman Framweork’s communication interrogative columns provides guidance on defining enterprise architecture. Please select answer(s) that is(are) coupled correctly:
Improving data quality requires a strategy that accounts for the work that needs to be done and the way people will execute it.
What are the three characteristics of effective Data Governance communication?
GDPR came into affect in May. 2018. What organization is responsible for awarding compliance certificates for organizations?
Data governance requires control mechanisms and procedures for, but not limited to, identifying, capturing, logging and updating actions.
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?
The accuracy dimension of data quality refers to the degree that data correctly respresents ‘real-life’ entities.
Data modelling is most infrequently performed in the context of systems and maintenance efforts, known as SDLC.
The purpose of enterprise application architecture is to describe the structure and functionality of applications in an enterprise.
The best preventative action to prevent poor quality data from entering an organisation include:
A critical step in data management organization design is identifying the best-fit operating model for the organization.
What are some of the business drivers for the ethical handling of data that Data Governance should satisfy?
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.
Enterprise data architects in an application migration project are primarily concerned with:
Information architecture is the process of creating structure for a body of information or content. It includes the following components:
ANSI 859 recommends taking into account the following criteria when determining which control level applies to a data asset:
Changes to reference data do not need to be management, only metadata should be managed.
Confidentiality classification schemas might include two or more of the five confidentiality classification levels. Three correct classifications levels are:
Your organization has many employees with official roles as data stewards and data custodians, but they don't seem to know exactly what they're supposed to be doing. Which of the following is most likely to be a root cause of this problem?
Data Management Professionals only work with the technical aspects related to data.
It is unwise to implement data quality checks to ensure that the copies of the attributes are correctly stored.
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.
The search function associated with a document management store is failing to return known artefacts. This is due to a failure of:
The difference between warehouses and operational systems do not include the following element:
The Data Governance Council (DGC) manages data governance initiatives, issues, and escalations.
Subtype absorption: The subtype entity attributes are included as nullable columns into a table representing the supertype entity
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?
Orchestration is the term used to describe how multiple processes are organized and executed in a system.
The scope and focus of any data governance program depend on organizational needs, but most programs include:
The IBM Data Governance Council model is organized around four key categories. Select the answer that is not a category.
A ‘Golden Record’ means that it is always a 100% complete and accurate representation of all entities within the organization.
Data Integrity includes ideas associated with completeness, accuracy, and consistency.
A project scope requires the collection, exchange, and reporting of data from multiple in-house custom systems. Documents gathered include business concepts, existing database schemas, XSDs, and reporting layouts. How many models of each layer of abstraction can be expected?
The creation of overly complex enterprise integration over time is often a symptom
of:
Please select the correct component pieces that form part of an Ethical Handling Strategy and Roadmap.
A change management program supporting formal data governance should focus communication on:
Obtaining buy-in from all stakeholders
Which of the following is NOT required to effectively track data quality incidents?
There are three basic approaches to implementing a Master Data hub environment, including:
When starting a Data Governance initiative it is important to understand what the Business cannot achieve due to data issues because:
There are several reasons to denormalize data. The first is to improve performance by:
A roadmap for enterprise data architecture describes the architecture’s 3 to 5-year development path. The roadmap should be guided by a data management maturity assessment.
A goal of data architecture is to identify data storage and processing requirements.
TESTED 15 Oct 2025
