Data handling ethics are concerned with how to procure, store, manage, use and dispose of data in ways that are aligned with ethical principles.
To understand and evaluate ethical use of data within the organization what principles should we base our decisions on?
Because Data Governance activities require coordination across functional areas, the DG program must establish an ___________ that defines accountabilities and intersections.
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 data in Data warehouses and marts differ. Data is organized by subject rather than function
Once the most critical business needs and the data that supports them have been identified, the most important part of the data quality assessment is actually looking data, querying it to understand data content and relationships, and comparing actual data to rules and expectations.
The Data Governance Council (DGC) manages data governance initiatives, issues, and escalations.
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:
Data access control can be organized at an individual level or group level, depending on the need.
Communications are essential to the success of a DMM or Data Governance assessment. Communications are important because:
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 stewardship is the least common label to describe accountability and responsibility for data and processes to ensure effective control and use of data assets.
Time-based patterns are used when data values must be associated in chronological order and with specific time values.
Release management is critical to batch development processes that grows new capabilities.
Business activity information is one of the types of data that can be modelled.
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.
Within the Data Handling Ethics Context Diagram a key deliverable is the Ethical Data Handling Strategy.
Business people must be fully engaged in order to realize benefits from the advanced analytics.
Please select the correct name for the PDM abbreviation when referring to modelling.
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.
Decentralized informality can be made more formal through a documented series of connections and accountabilities via a RACI matrix.
Data Integration and Interoperability (DII) describes processes related to the movement and consolidation of data within and between data stores, applications and organizations.
ISO 8000 will describe the structure and organization of data quality management, including:
Wat data architecture designs represent should be clearly documented. Examples include:
Value is the difference between the cost of a thing and the benefit derived from that thing.
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:
The Zachman Framweork’s communication interrogative columns provides guidance on defining enterprise architecture. Please select answer(s) that is(are) coupled correctly:
A critical step in data management organization design is identifying the best-fit operating model for the organization.
An authoritative system where data is created/captured, and/or maintained through
a defined set of rules and expectations is called:
Data governance requires control mechanisms and procedures for, but not limited to, escalating issues to higher level of authority.
The Data Warehouse (DW) is a combination of three primary components: An integrated decision support database, related software programs and business intelligence reports.
Data parsing is the process of analysing data using pre-determined rules to define its content or value.
The ethics of data handling are complex, but is centred on several core concepts. Please select the correct answers.
Which of the following is NOT required to effectively track data quality incidents?
Drivers for data governance most often focus on reducing risk or improving processes. Please select the elements that relate to the improvement of processes:
The best preventative action to prevent poor quality data from entering an organisation include:
A limitation of the centralized approach include: Maintenance of a decentralized repository is costly.
With respect to health data, what is the difference between the privacy and the security of the data?
A change management program supporting Data Governance should focus communication on what?
Development of goals, principles and policies derived from the data governance strategy will not guide the organization into the desired future state.
Please select the correct principles of the General Data Protection Regulation (GDPR) of the EU.
XML provides a language for representing both structures and unstructured data and information.
As part of its transformation, the organization must identify and respond to different kinds of roadblocks. Please select the answer that is not a roadblock:
Primary deliverables of the Data Warehouse and Business Intelligence context diagram include:
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.
Use business rules to support Data Integration and Interoperability at various points, to:
Oversight for the appropriate handling of data falls under both Data Governance and Legal Counsel. What are they NOT required to do?
Which of the following is not a step in the 'document and content management
lifecycle'?
In the Information Management Lifecycle, the Data Governance Activity "Define the Data Governance Framework" is considered in which Lifecycle stage?
Quality Assurance Testing (QA) is used to test functionality against requirements.
Effective data management involves a set of complex, interrelated processes that disable an organization to use its data to achieve strategic goals.
Deliverables in the data management maturity assessment context diagram include:
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.
The DW encompasses all components in the data staging and data presentation areas, including:
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?
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?
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.
There are three recovery types that provide guidelines for how quickly recovery takes place and what it focuses on.
As an often-overlooked aspects of basic data movement architecture, Process controls include:
Governance ensures data is managed, but is not include the actual act of managing data.
Service accounts are convenient because they can tailor enhanced access for the processes that use them.
Archiving is the process of moving data off immediately accessible storage media and onto media with lower retrieval performance.
Data modelling tools are software that automate many of the tasks the data modeller performs.
Valuation information, as an example of data enrichment, is for asset valuation, inventory and sale.
Typically, DW/BI projects have three concurrent development tracks, including:
If data is not integrated with care it presents risk for unethical data handling. These ethical risks intersect with fundamental problems in data management including: Limited knowledge of data’s origin and lineage; Data of poor quality; Unreliable Metadata; and Documentation of error remediation.
When constructing an organization’s operating model cultural factors must be taken into consideration.
Content needs to be modular, structured, reusable and device and platform independent.
Data Integrity includes ideas associated with completeness, accuracy, and consistency.
The IT security policy provides categories for individual application, database roles, user groups and information sensitivity.
There are numerous methods of implementing databases on the cloud. The most common are:
Top down' and "bottom up' data analysis and profiling is best done in concert
because:
Improving an organization’s ethical behaviour requires an informal Organizational Change Management (OCM) process.
Effective document management requires clear policies and procedures, especially regarding retention and disposal of records.
Please select the correct general cost and benefit categories that can be applied consistently within an organization.
A communication plan includes an engagement model for stakeholders, the type of information to be shared, and the schedule for sharing information.
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.
Risk classifications describe the sensitivity of the data and the likelihood that it might be sought after for malicious purposes.
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.
The creation of overly complex enterprise integration over time is often a symptom
of:
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:
Customer value comes when the economic benefit of using data outweighs the costs of acquiring and storing it, as well we managing risk related to usage. Which of these is not a way to measure value?
Business rules describe why business should operate internally, in order to be successful and compliant with the outside world.
In the context of big data the Three V’s refer to: Volume, Velocity and Validity
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.
In matching, false positives are three references that do not represent the same entity are linked with a single identifier.
Repositories facilitate the collection, publishing and distribution of data in a centralized and possibly standardized way. Data is most often used to:
In a data warehouse, where the classification lists for organisation type are
inconsistent in different source systems, there is an indication that there is a lack of
focus on:
Examples of concepts that can be standardized within the data quality knowledge area include:
Please select the answer that best fits the following description: Contains only real-time data.
Data management organizational constructs include the following type of model.
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.
A goal of data governance is to enable an organisation to manage its data as a liability.
Effective data management involves a set of complex, interrelated processes that enable an organisation to use its data to achieve strategic goals.
The accuracy dimension of data quality refers to the degree that data correctly respresents ‘real-life’ entities.
One of the key differences between operational systems and data warehouses is:
Layers of data governance are often part of the solution. This means determining where accountability should reside for stewardship activities and who the owners of the data are.
A staff member has been detected inappropriately accessing client records from
usage logs. The security mechanism being used is an:
Which Data Architecture artefact contains the names of key business entities, their
relationships, critical guiding business rules and critical attributes?
Some document management systems have a module that may support different types of workflows such as:
Data Governance includes developing alignment of the data management approach with organizational touchpoints outside of the direct authority of the Chief Data Officer. Select the example of such a touchpoint.
A deliverable in the data architecture context diagram includes an implementation roadmap.
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.
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?
When assessing security risks it is required to evaluate each system for the following:
Data Integration and Interoperability is dependent on these other areas of data management:
Operationality and interoperability depends on the data quality. In order to measure the efficiency of a repository the data quality needs to be:
'Planning, implementation and control activities for lifecycle management of data and
information, found in any form or medium', pertains to which knowledge area?
Referential Integrity (RI) is often used to update tables without human intervention. Would this be a good idea for reference tables?
A controlled vocabulary is a defined list of explicitly allowed terms used to index, categorize, tag, sort and retrieve content through browsing and searching.
A data governance strategy defines the scope and approach to governance efforts. Deliverables include:
Project that use personal data should have a disciplined approach to the use of that data. They should account for:
Emergency contact phone number would be found in which master data
management program?
Which of the following are must-do for any successful Data Governance programme?
Assessment capabilities are evaluated against a pre-determined scale with established criteria. This is important because:
A sandbox is an alternate environment that allows write-only connections to production data and can be managed by the administrator.
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:
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?
Communication should start later in the process as too many inputs will distort the vision.
Examples of concepts that can be standardized within the data architecture knowledge area include:
When measuring the value of data architecture one should be most concerned about
Normalisation is the process of applying rules in order to organise business complexity into stable data structures.
Please select the 2 frameworks that show high-level relationships that influence how an organization manages data.
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?
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?
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.
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TESTED 01 May 2025
