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A limitation of the centralized approach include: Maintenance of a decentralized repository is costly.
Please select the answers that correctly describes the set of principles that recognizes salient features of data management and guide data management practice.
Assessment criteria are broken into levels, and most capability maturity models use five (5) levels. This is important since:
A sandbox environment can either be a sub-set of the production system, walled off from production processing or a completely separate environment.
An organization can enhance its Data Governance program and thereby improve its approach to enterprise data management. This is important for the following reason:
In the Abate Information Triangle the past moves through the following echelons befor it comes insight:
The flow of data in a data integration solution does not have to be designed and documented.
The load step of ETL is physically storing or presenting the results of the transformation in the target system.
Data Storage and Operations: The design, implementation and support of stored data to maximize its value.
Oversight for the appropriate handling of data falls under both Data Governance and Legal Counsel. What are they NOT required to do?
Examples of business processes when constructing data flow diagrams include:
Bold means doing something that might cause short term pain, not just something that looks good in a marketing email.
A data governance strategy defines the scope and approach to governance efforts. Deliverables include:
Data Warehouse describes the operational extract, cleansing, transformation, control and load processes that maintain the data in a data warehouse.
Every DMM and Data Governance assessment must define how the assessment team will interact with its subjects (after defining the subject/stakeholder list). This is important because:
An application DBA leads the review and administration of procedural database objects.
An effective team is based on two simple foundations: trust and a common goal.
Misleading visualisations could be an example where a base level of truthfulness and transparency are not adhered to.
Emergency contact phone number would be found in which master data
management program?
An information maturity assessment provides a valuable input to Data Governance planning because it provides:
Data profiling also includes cross-column analysis, which can identify overlapping or duplicate columns and expose embedded value dependencies.
Within projects, conceptual data modelling and logical data modelling are part of requirements planning and analysis activities, while physical data modelling is a design activity.
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.
Please select the correct principles of the General Data Protection Regulation (GDPR) of the EU.
You are a reporting Data Analyst. A new Management Report has been requested. What is the most effective way to ensure you receive the appropriate data at the correct level of accuracy to meet the business need?
Data governance program must contribute to the organization by identifying and delivering on specific benefits.
Organizations should evaluate several maturity assessment models for data management, and for Data Governance, before adopting one or before developing a custom maturity assessment model because:
What position is responsible for the quality and use of their organization's data
assets?
Examples of the ‘Who’ entity category include: employee; patient; player; and suspect.
The purpose of data governance is to ensure that data is managed properly, according to policies and best practices. Data governance is focused on how decisions are made about data and how people and processes are expected to behave in relation to data.
Architects seek to design in a way that brings value to an organisation. To reach these goals, data architects define and maintain specifications that:
Which Data Architecture Artifact describes how data transforms into business
assets?
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.
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:
Business Intelligence, among other things, refer to the technology that supports this kind of analysis.
Several global regulations have significant implications on data management practices. Examples include:
What business function is best aligned to deliver oversight to data architecture ?
A goal of data architecture is to identify data storage and processing requirements.
Which DMBok knowledge area is most likely responsible for a high percentage of
returned mail?
How does the DMBOK refer to an organization that values data as an asset and manages data through all phases of its lifecycle?
A goal of reference and master data is to provide authoritative source of reconciled and quality-assessed master and reference data.
Changes to reference data do not need to be management, only metadata should be managed.
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.
The business glossary application is structured to meet the functional requirements of the three core audiences:
Modeling Bid data is a non-technical challenge but critical if an organization that want to describe and govern its data.
Data quality rules and standards are a critical form of Metadata. Ti be effective they need to be managed as Metadata. Rules include:
The Belmont principles that may be adapted for Information Management disciplines, include:
People often incorrectly combine the concepts of data management and information technology into one. Which of the following is NOT an example of this?
Most people who work with data know that it is possible to use data to misrepresent facts. Which of the following is NOT a way in which data is used to misrepresent facts?
The library of Alexandria was one of the largest collection of books in the ancient
world. Which DMBoK knowledge area is most aligned with managing the collection?
When recovering from multiple system failures, what is the biggest difficulty faced
by a DBA?
E-discovery is the process of finding electronic records that might serve as evidence in a legal action.
Achieving security risk reduction in an organisation begins with developing what?
The repeated implementation of different CRM technologies with different data
structures is mostly a failure of:
One of the deliverables in the Data Integration and Interoperability context diagram is:
Malware refers to any infectious software created to damage, change or improperly access a computer or network.
The term data quality refers to only the characteristics associated with high quality data.
A sandbox is an alternate environment that allows write-only connections to production data and can be managed by the administrator.
Many people assume that most data quality issues are caused by data entry errors. A more sophisticated understanding recognizes that gaps in or execution of business and technical processes cause many more problems that mis-keying.
Enterprise data architecture influences the scope boundaries of project and system releases. An example of influence is data replication control.
What changes in data processing when a gas utility checks the condition of its assets using a drone rather than a team of people driving alongside the pipeline?
A goal of Data warehouse and business intelligence is to support and enable ineffective business analysis and decision making by knowledge workers.
Defining quality content requires understanding the context of its production and use, including:
Metadata is essential to the management of unstructured data as it id to the management of structured data.
Data modeller: responsible for fata model version control an change control
Data security includes the planning, development and execution of security policies and procedures to provide authentication, authorisation, access and auditing of data and information assets.
Various Regulations require evidence of clear data lineage and accuracy. How can we as data managers best serve our enterprises in achieving this goal?
Drivers for data governance most often focus on reducing risk or improving processes. Please select the elements that relate to the reduction in risk:
Please select the 3 visuals that depict DAMA’s Data Management Framework.
Technical metadata describes details of the processing and accessing of data.
The best preventative action to prevent poor quality data from entering an organisation include:
The most informal enterprise data model is the most detailed data architecture design document.
The impact of the changes from new volatile data must be isolated from the bulk of the historical, non-volatile DW data. There are three main approaches, including:
When trying to integrate a large number of systems, the integration complexities can
be reduced by:
Business activity information is one of the types of data that can be modelled.
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.
Which of the following is not a step in the 'document and content management
lifecycle'?
No recorded negative ethical outcomes does not mean that the organization is processing data ethically. Legislation cannot keep up with the evolution of the data environment so how do we stay compliant?
The main difference between a System of Record and a System of Reference is:
The best DW/BI architects will design a mechanism to connect back to transactional level and operational level reports in an atomic DW.
The implementation of a Data Warehouse should follow these guiding principles:
A System of Reference is an authoritative system where data consumers can obtain reliable data to support transactions and analysis, even if the information did not originate in the system reference.
One of the key differences between operational systems and data warehouses is:
Data profiling is a form of data analysis used to inspect data and assess quality.
A ‘Golden Record’ means that it is always a 100% complete and accurate representation of all entities within the organization.
Please select the correct definition of Data Management from the options below.
Archiving is the process of moving data off immediately accessible storage media and onto media with lower retrieval performance.
A deliverable in the data modelling and design context diagram is the logical data model.
Confidentiality classification schemas might include two or more of the five confidentiality classification levels. Three correct classifications levels are:
Data modelling tools and model repositories are necessary for managing the enterprise data model in all levels.
Tools required to manage and communicate changes in data governance programs include
While the focus of data quality improvement efforts is often on the prevention of errors, data quality can also be improved through some forms of data processing.
Value is the difference between the cost of a thing and the benefit derived from that thing.
The dependencies of enterprise technology architecture are that it acts on specified data according to business requirements.
In an information management context, the short-term wins and goals often arise from the resolution of an identified problem.
The IT security policy provides categories for individual application, database roles, user groups and information sensitivity.
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.
A e-discovery readiness assessment should examine and identify opportunities for the commercial response program.
Part of alignment includes developing organizational touchpoints for data governance work. Some examples of touchpoints include: Procurement and Contracts; Budget and Funding; Regulatory Compliance; and the SDLC framework.
Data asset valuation is the process of understanding and calculating the economic value of data to an organisation. Value comes when the economic benefit of using data outweighs the costs of acquiring and storing it, as
An input in the data architecture context diagram includes data governance.
What is the final step in the development of a business-data-driven roadmap?
Logical abstraction entities become separate objects in the physical database design using one of two methods.
Poorly managed Metadata leads to, among other, redundant data and data management processes.
Data parsing is the process of analysing data using pre-determined rules to define its content or value.
Please select the correct name for the PDM abbreviation when referring to modelling.
When assessing security risks it is required to evaluate each system for the following:
Which of the following is NOT an objective of a business (data) glossary?
Data flows map and document relationships between data and locations where global differences occur.
In matching, false positives are three references that do not represent the same entity are linked with a single identifier.
Integrating data security with document and content management knowledge areas.
guides the implementation of:
A "Data Governance strategy" usually includes the following deliverables:
Release management is critical to batch development processes that grows new capabilities.
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:
When measuring the value of data architecture one should be most concerned about
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:
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].
A change management program supporting Data Governance should focus communication on what?
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.
Some document management systems have a module that may support different types of workflows such as:
A Data Management Maturity Assessment (DMMA) can be used to evaluate data management overall, or it can be used to focus on a single Knowledge Area or even a single process.
Data Integration and Interoperability (DII) describes processes related to the movement and consolidation of data within and between data stores, applications and organizations.
Bias refers to an inclination of outlook. Please select the types of data bias:
All assessments should include a roadmap for phased implementation of the recommendations. This is important because:
There are three recovery types that provide guidelines for how quickly recovery takes place and what it focuses on.
All organizations have the same Master Data Management Drivers and obstacles.
An implemented warehouse and its customer facing BI tool is a data product.
Why is the GDPR called the most important change in data and data privacy regulation in 20 years?
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.
Please select the 2 frameworks that show high-level relationships that influence how an organization manages data.
The advantage of a decentralised Data Governance model over a centralised model is:
Those responsible for the data-sharing environment have an obligation to downstream data consumers to provide high quality data.
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.
A deliverable in the data architecture context diagram includes an implementation roadmap.
The independent updating of data into a system of reference is likely to cause:
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?
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.
Wat data architecture designs represent should be clearly documented. Examples include:
DMMA ratings represent a snapshot of the organization’s capability level.
Data modelling is most infrequently performed in the context of systems and maintenance efforts, known as SDLC.
A Business Glossary forces a business to adopt a single definition of a business term.
Business requirements is an input in the Data Warehouse and Business Intelligence context diagram.
Improving data quality requires a strategy that accounts for the work that needs to be done and the way people will execute it.
Risk classifications describe the sensitivity of the data and the likelihood that it might be sought after for malicious purposes.
The CAP theorem states that at most two of the three properties: consistency, availability and partition tolerance can exist in any shared data system.
Analytics models are associated with different depths of analysis, including:
TESTED 01 Jul 2025