Data Management Fundamentals
Last Update Oct 27, 2025
Total Questions : 730
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Development of goals, principles and policies derived from the data governance strategy will not guide the organization into the desired future state.
Communications are essential to the success of a DMM or Data Governance assessment. Communications are important because:
When presenting a case for an organization wide Data Governance program to your Senior Executive Board, which of these potential benefits would be of LEAST importance?
Which of the following is NOT required to effectively track data quality incidents?
Security Risks include elements that can compromise a network and/or database.
A e-discovery readiness assessment should examine and identify opportunities for the commercial response program.
Confidentiality classification schemas might include two or more of the five confidentiality classification levels. Three correct classifications levels are:
Normalisation is the process of applying rules in order to organise business complexity into stable data structures.
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:
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?
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?
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?
Issue management is the process for identifying, quantifying, prioritizing, and resolving Data Governance issues. Which of the following are areas where that issues might arise:
Small reference data value sets in the logical data model can be implemented in a physical model in three common ways:
How does the DMBOK refer to an organization that values data as an asset and manages data through all phases of its lifecycle?
Please select the incorrect item that does not represent a dimension in the Data Values category in Data Quality for the Information age.
E-discovery is the process of finding electronic records that might serve as evidence in a legal action.
Customer relationship management systems manage Master Data about customers.
In a SQL injection attack, a perpetrator inserts authorized database statements into a vulnerable SQL data channel, such as a stored procedure.
An enterprise's organisation chart has multiple levels, each with a single reporting
line. This is an example of a:
Emergency contact phone number would be found in which master data
management program?
There are three basic approaches to implementing a Master Data hub environment, including:
Please select the correct principles of the General Data Protection Regulation (GDPR) of the EU.
The data in Data warehouses and marts differ. Data is organized by subject rather than function
Elements that point to differences between warehouses and operational systems include:
Data mining is a sub-field of supervised learning where users attempt to model data elements and predict future outcomes through the evaluation of probability estimates.
The main difference between a System of Record and a System of Reference is:
A node is a group of computers hosting either processing or data as part of a distributed database.
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.
Master data management includes several basic steps, which include: Develop rules for accurately matching and merging entity instances.
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?
An image processing system captures, transforms and manages images of paper and electronic documents.
What position is responsible for the quality and use of their organization’s data assets?
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?
Decentralized informality can be made more formal through a documented series of connections and accountabilities via a RACI matrix.
Practitioners identify development of staff capability to be a primary concern of Data Governance. Why would this be a main concern?
A change management program supporting formal data governance should focus communication on:
Obtaining buy-in from all stakeholders
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.
A catastrophic system failure due to processing attachments that are too large may
be solved by:
Over a decade an organization has rationalized implementation of party concepts from 48 systems to 3. This is a result of good:
Access to data for Multidimensional databases use a variant of SQL called MDX or Multidimensional expression.
Drivers for data governance most often focus on reducing risk or improving processes. Please select the elements that relate to the reduction in risk:
Issue management is the process for identifying, quantifying, prioritizing and resolving data governance related issues, including:
If data is a governed resource, like other resources (e.g., human resources, finance, property), how is Data Governance different from other types of Governance?
When data is classified as either security data or regulatory data, the result will be:
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?
The most important reason to implement operational data quality measurements is to inform data consumers about levels of data effectiveness.
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.
The business glossary application is structured to meet the functional requirements of the three core audiences:
A sandbox is an alternate environment that allows write-only connections to production data and can be managed by the administrator.
Business Intelligence, among other things, refer to the technology that supports this kind of analysis.
A deliverable in the data architecture context diagram includes an implementation roadmap.
ISO 8000 will describe the structure and the organization of data quality management, including:
Change only requires change agents in special circumstances, especially when there is little to no adoption.
Confirming and documenting understanding of different perspectives facilitate:
Data quality rules and standards are a critical form of Metadata. Ti be effective they need to be managed as Metadata. Rules include:
Which DMBok knowledge area is most likely responsible for a high percentage of
returned mail?
If two data stores are able to be inconsistent during normal operations, then the
integration approach is:
To mitigate risks, implement a network-based audit appliance, which can address most of the weaknesses associated with the native audit tools. This kind of appliance has the following benefits:
The database administrator (DBA) is the most established and the most widely adopted data professional role.
An application DBA leads the review and administration of procedural database objects.
The data-vault is an object-orientated, time-based and uniquely linked set of normalized tables that support one or more functional areas of business.
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 content strategy should end with an inventory of current state and a gap assessment.
Achieving near-real-time data replication, using a source accumulation technique,
triggers on:
The failure to gain acceptance of a business glossary may be due to ineffective:
Which statement best describes the relationship between documents and records?
When constructing an organization’s operating model cultural factors must be taken into consideration.
The operational data quality management procedures depend on the ability to measure and monitor the applicability of data.
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?
In a global organization which must operate under many local jurisdictions, each with their own legislative and compliance laws, which type of Data Governance Operating Model Type would best apply?
Assessment criteria are broken into levels, and most capability maturity models use five (5) levels. This is important since:
Gathering and interpreting results from a DMM or Data Governance assessment are important because:
It is recommended that organizations not print their business data glossaries for general use, why would you not want to print the glossary?
Data for Big Data ingestion can also be called the data lake. This needs to be carefully managed, or the data lake will become:
When reviewing data access plans, sequential searching is slowing the database. One
way to fix this is:
ANSI 859 recommends taking into account the following criteria when determining which control level applies to a data asset:
Data governance requires control mechanisms and procedures for, but not limited to, identifying, capturing, logging and updating actions.
Various Regulations require evidence of clear data lineage and accuracy. How can we as data managers best serve our enterprises in achieving this goal?
A hacker is a person who finds unknown operations and pathways within complex computer system. Hackers are only bad.
Preparation and pre-processing of historical data needed in a predictive model may be performed in nightly batch processes or in near real-time.
Data flows map and document relationships between data and locations where global differences occur.
Drivers for data governance most often focus on reducing risk or improving processes. Please select the elements that relate to the improvement of processes:
SPARC published their three-schema approach to database management. The three key components were:
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.
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.
Use business rules to support Data Integration and Interoperability at various points, to:
One of the key differences between operational systems and data warehouses is:
The creation of overly complex enterprise integration over time is often a symptom
of:
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?
Data governance program must contribute to the organization by identifying and delivering on specific benefits.
The flow of data in a data integration solution does not have to be designed and documented.
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.
An organization can enhance its Data Governance program and thereby improve its approach to enterprise data management. This is important for the following reason:
The CAP theorem states that at most two of the three properties: consistency, availability and partition tolerance can exist in any shared data system.
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:
Information gaps represent enterprise liabilities with potentially profound impacts on operational effectiveness and profitability.
Referential Integrity (RI) is often used to update tables without human intervention. Would this be a good idea for reference tables?
An advantage of a centralized repository include: Quick metadata retrieval, since the repository and the query reside together.
Data Integration and Interoperability (DII) describes processes related to the movement and consolidation of data within and between data stores, applications and organizations.
All assessments should include a roadmap for phased implementation of the recommendations. This is important because:
In defining a Data Security Policy, what role should Data Governance play?
Volume refers to the amount of data. Big Data often has thousands of entities or elements in billions of records.
The accuracy dimension of data quality refers to the degree that data correctly respresents ‘real-life’ entities.
Please select the answer that best fits the following description: Contains only real-time data.
Business glossary is not merely a list of terms. Each term will be associated with other valuable metadata such as synonyms, metrics, lineage, or:
The IT security policy provides categories for individual application, database roles, user groups and information sensitivity.
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
Organizations conduct capability maturity assessments for a number of reasons, including:
Information architecture is the process of creating structure for a body of information or content. It includes the following components:
Misleading visualisations could be an example where a base level of truthfulness and transparency are not adhered to.
When measuring the value of data architecture one should be most concerned about
Integration of ETL data flows will usually be developed within tools specialised to manage those flows in a proprietary way.
Data profiling is a form of data analysis used to inspect data and assess quality.
An organization has a legitimate interest in commercializing data. So why is the economic value of data a core concept of data handling ethics?
When assessing tools to implement master data management solutions, functionality
must include:
Following the rollout of a data issue process, there have been no issues recorded in the first month. The reason for this might be:
Data security internal audits ensure data security and regulatory compliance policies are followed should be conducted regularly and consistently.
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.
Why is it so important to conduct a Data Governance Readiness Assessment?
An implemented warehouse and its customer facing BI tool is a data product.
Which of the following activities is most likely to maintain bias in data analysis?
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.
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.
Data management organizational constructs include the following type of model.
Business requirements is an input in the Data Warehouse and Business Intelligence context diagram.
The categories of the Data Model Scorecard with the highest weightings include:
Data warehousing describes the operational extract, cleaning, transformation, control and load processes that maintain the data in a data warehouse.
Location Master Data includes business party addresses and business party location, as well as facility addresses for locations owned by organizations.
The purpose for adding redundancy to a data model (denormalisation) is to:
What are some of the business drivers for the ethical handling of data that Data Governance should satisfy?
The load step of ETL is physically storing or presenting the results of the transformation in the target system.
Some document management systems have a module that may support different types of workflows such as:
Data science involves the iterative inclusion of data sources into models that develop insights. Dat science depends on:
Select the areas to consider when constructing an organization’s operating model:
A controlled vocabulary is a defined list of explicitly allowed terms used to index, categorize, tag, sort and retrieve content through browsing and searching.
In the Information Management Lifecycle, the Data Governance Activity "Define the Data Governance Framework" is considered in which Lifecycle stage?
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.
Business continuity is an aspect of Governance. What should a business continuity plan include?
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:
The roles associated with enterprise data architecture are data architect, data modellers and data stewards.
Data governance requires control mechanisms and procedures for, but not limited to, escalating issues to higher level of authority.
Top down' and "bottom up' data analysis and profiling is best done in concert
because:
TESTED 27 Oct 2025
