What are the three characteristics of effective Data Governance communication?
Examples of the ‘What’ entity category include the following nouns:
Triplestores can be classified into these categories:
Databases are categorized in three general ways:
XML is the abbreviation for standard mark-up language.
Type of Reference Data Changes include:
Input in the Big Data and data science context diagram include:
CMA is an abbreviation for Capability Maturity Assessment.
Data Fabric is:
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.
Malware types include:
A data architecture team is best described as:
Disciplines within the enterprise architecture practice does not include:
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.
Normalisation is the process of applying rules in order to organise business complexity into stable data structures.
Enterprise Data Architects should support projects for potential:
An Operational Data Mart is a data mart focused on tactical decision support.
In Data Modelling, the generalization of the concept of person and organization into a party enables:
A DMZ is bordered by 2 firewalls. These are between the DMZ and the:
The ISO 11179 Metadata registry, an international standard for representing Metadata in an organization, contains several sections related to data standards, including naming attributes and writing definitions.
In the Data Warehousing and Business Intelligence Context Diagram, a primary deliverable is the DW and BI Architecture.
Well prepared records have characteristics such as:
Field overloading: Unnecessary data duplication is often a result of poor data management.
The goals of Metadata management include:
Sustainable Data Governance depends on:
Inputs in the data quality context diagram include:
Achieving security risk reduction in an organisation begins with developing what?
Data governance can be understood in terms of political governance. It includes the following three function types:
An advantage of a centralized repository include: Quick metadata retrieval, since the repository and the query reside together.
A Business Glossary forces a business to adopt a single definition of a business term.
Integration of ETL data flows will usually be developed within tools specialised to manage those flows in a proprietary way.
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?
Examples of concepts that can be standardized within the data quality knowledge area include:
A hacker is a person who finds unknown operations and pathways within complex computer system. Hackers are only bad.
Metadata is essential to the management of unstructured data as it id to the management of structured data.
Three classic implementation approaches that support Online Analytical Processing include:
In data modelling practice, entities are linked by:
Within the Data Handling Ethics Context Diagram a key deliverable is the Ethical Data Handling Strategy.
Please select the four domains of enterprise architecture:
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.
Taxonomies can have different structures, including:
Considerations for whether to integrate two data stores should include all except
the:
Data governance program must contribute to the organization by identifying and delivering on specific benefits.
Examples of technical metadata include:
Data governance and IT governance are the same thing.
Project that use personal data should have a disciplined approach to the use of that data. They should account for:
SPARC published their three-schema approach to database management. The three key components were:
Who should write the main content for a security policy for an organisation?
Please select the three types of data models:
The disclosure of sensitive addresses may occur through:
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?
What types of data are considered Technical Data?
An implemented warehouse and its customer-facing BI tools is a technology product.
It is unwise to implement data quality checks to ensure that the copies of the attributes are correctly stored.
What area do you not consider when developing a 'Data Governance operating model?
Data Integration and Interoperability is dependent on these other areas of data management:
Some document management systems have a module that may support different types of workflows such as:
The target of organizational change is expedition.
The DW encompasses all components in the data staging and data presentation areas, including:
How does the DMBOK refer to an organization that values data as an asset and manages data through all phases of its lifecycle?
The goals of implementing best practices around document and content management include:
The repeated implementation of different CRM technologies with different data
structures is mostly a failure of:
Top down' and "bottom up' data analysis and profiling is best done in concert
because:
Technical Metadata provides data about the technical data, the systems that store data, and the processes that move between systems.
Controlling data availability requires management of user entitlements and of structures that technically control access based on entitlements.
To push up the urgency level requires adding of the sources of complacency or increasing of their impact.
CIF stands for:
Technical metadata describes details of the processing and accessing of data.
Which of these best describes the purpose of a Communications Plan in Data Governance?
Operational Metadata describes details of the processing and accessing of data. Which one is not an example:
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:
Small reference data value sets in the logical data model can be implemented in a physical model in three common ways:
Two risks with the Matching process are:
The best DW/BI architects will design a mechanism to connect back to transactional level and operational level reports in an atomic DW.
The failure to gain acceptance of a business glossary may be due to ineffective:
All organizations have the same Master Data Management Drivers and obstacles.
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:
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:
Business activity information is one of the types of data that can be modelled.
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?
Please select the 2 frameworks that show high-level relationships that influence how an organization manages data.
The neutral zone is one of the phases in the Bridges’ transition phases.
Activities that drive the goals in the context diagram are classified into the following phases:
The accuracy dimension has to do with the precision of data values.
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?
Please select the correct name for the PDM abbreviation when referring to modelling.
An organization will create an uncover valuable Metadata during the process of developing Data Integration and Interoperability solutions.
You have completed analysis of a Data Governance issue in your organisation and have presented your findings to the executive management team. However, your findings are not greeted warmly and you find yourself being blamed for the continued existence of the issue. What is the most likely root cause for this?
All assessments should include a roadmap for phased implementation of the recommendations. This is important because:
During the intial scoping of a project, a data model can be used to:
Data Storage and Operations: The design, implementation and support of stored data to maximize its value.
How can the Data Governance process best support Regulatory reporting requirements?
What result(s) is/are Data Handling Ethics trying to avoid?
Why is it important to create short-term wins when rolling out a Data Governance initiative?
The term data quality refers to only the characteristics associated with high quality data.
Metadata is described using a different set of categories, not including:
Critical success factors throughout the BI/DW lifecycle include:
Improving an organization’s ethical behaviour requires an informal Organizational Change Management (OCM) process.
Data governance requires control mechanisms and procedures for, but not limited to, escalating issues to higher level of authority.
Business rules describe why business should operate internally, in order to be successful and compliant with the outside world.
A Metadata repository contains information about the data in an organization, including:
Data security issues, breaches and unwarranted restrictions on employee access to data cannot directly impact operational success.
Malware refers to any infectious software created to damage, change or improperly access a computer or network.
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:
Please select correct term for the following sentence: Any collection of stored data regardless of structure or content. Some large databases refer to instances and schema.
What model is the highest level model within the enterprise data model?
A staff member has been detected inappropriately accessing client records from
usage logs. The security mechanism being used is an:
SOR Stands for:
Over a decade an organisation has rationalised implementation of party concepts
from 48 systems to 3. This is a result of good:
The Data Warehouse encompasses all components in the data staging and data presentation areas, including:
Examples of technical metadata include:
Business Intelligence tool types include:
Examples of data enhancement includes:
Examples of the ‘Who’ entity category include: employee; patient; player; and suspect.
A business driver for Master Data Management program is managing data quality.
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.
A data governance strategy defines the scope and approach to governance efforts. Deliverables include:
A dimensional physical data model is usually a star schema, meaning there is one structure for each dimension.
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.
Open by default' document control will assist data sharing by:
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.
There are numerous methods of implementing databases on the cloud. The most common are:
Analytics models are associated with different depths of analysis, including:
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.
SDLC stands for:
Snowflaking is the term given to normalizing the flat, single-table, dimensional structure in a star schema into the respective component hierarchical or network structures.
Please select the incorrect item that does not represent a dimension in the Data Values category in Data Quality for the Information age.
Coupling describes the degree to which two systems are intertwined.
Big data is often defined by three characteristics. They are:
The IBM Data Governance Council model is organized around four key categories. Select the answer that is not a category.
Corrective actions are implemented after a problem has occurred and been detected.
Factors that have shown to play a key role in the success in the success of effective data management organizations does not include:
Modeling Bid data is a non-technical challenge but critical if an organization that want to describe and govern its data.
Volume refers to the amount of data. Big Data often has thousands of entities or elements in billions of records.
Wat data architecture designs represent should be clearly documented. Examples include:
Content refers to the data and information inside a file, document or website.
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?
Inputs in the data modelling and design context diagram include:
When constructing an organization’s operating model cultural factors must be taken into consideration.
An application DBA leads the review and administration of procedural database objects.
The acronym CMDB stands for:
As an often-overlooked aspects of basic data movement architecture, Process controls include:
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.
A e-discovery readiness assessment should examine and identify opportunities for the commercial response program.
Please select the answers that correctly describes where the costs of poor quality data comes from.
A goal of a Reference and Master Data Management program include enabling master and reference data to be shared across enterprise functions and applications.
An input in the Metadata management context diagram does not include:
Please select valid modelling schemes or notations
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?
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.
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:
What are the three characteristics of effective Data Governance communication?
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.
DMMA ratings represent a snapshot of the organization’s capability level.
An advantage of a centralized repository include: High availability since it is independent of the source systems.
When assessing security risks it is required to evaluate each system for the following:
Data architect: A senior analyst responsible for data architecture and data integration.
The Belmont principles that may be adapted for Information Management disciplines, include:
Decentralized informality can be made more formal through a documented series of connections and accountabilities via a RACI matrix.
All DMM and Data Governance assessments should identify its objectives and goals for improvement. This is important because:
Value is the difference between the cost of a thing and the benefit derived from that thing.
Industry is struggling to distinguish the accountabilities of CDO and CIO. The definition of their responsibilities may specify parts of:
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 controlled vocabulary is a defined list of explicitly allowed terms used to index, categorize, tag, sort and retrieve content through browsing and searching.
Elements that point to differences between warehouses and operational systems include:
What is the best definition of Crowdsourced data collection?
For each subject area logical model: Decrease detail by adding attributes and less-significant entities and relationships.
Business metadata focuses largely on the content and condition of the data and includes details related to data governance.
There are three basic approaches to implementing a Master Data hub environment, including:
Access to data for Multidimensional databases use a variant of SQL called MDX or Multidimensional expression.
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.
A sandbox environment can either be a sub-set of the production system, walled off from production processing or a completely separate environment.
The acronym BASE is made up of:
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?
The steps followed in managing data issues include:
Data handling ethics are concerned with how to procure, store, manage, use and dispose of data in ways that are aligned with ethical principles.
There are three recovery types that provide guidelines for how quickly recovery takes place and what it focuses on.
The Data Governance Council (DGC) manages data governance initiatives, issues, and escalations.
The four main types of NoSQL databases are:
Data flows map and document relationships between data and locations where global differences occur.
The difference between warehouses and operational systems do not include the following element:
Data Governance requires which of the following?
Data profiling is a form of data analysis used to inspect data and assess quality.
What are the three qualities of an effective Data Governance function?
The data in Data warehouses and marts differ. Data is organized by subject rather than function
A change management program supporting Data Governance should focus communication on what?
The purpose for adding redundancy to a data model (denormalisation) is to:
A data dictionary is necessary to support the use of a DW.
Which of the following are must-do for any successful Data Governance programme?
Data and enterprise architecture deal with complexity from two viewpoints:
When it comes to Data Governance, what does the Operations Plan include?
A key feature of Bill Inmon’s approach to data warehousing is:
Naming standards for data domains should:
When recovering from multiple system failures, what is the biggest difficulty faced
by a DBA?
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
The need to manage data movement efficiently is a primary driver for Data Integration and Interoperability.
A design approach for managing the risk of errors in data marts is:
Within each area of consideration mentioned in question 13, they should address morale adversity as per Ethical Risk Model for Sampling Projects.
Gathering and interpreting results from a DMM or Data Governance assessment are important because:
Operationality and interoperability depends on the data quality. In order to measure the efficiency of a repository the data quality needs to be:
A node is a group of computers hosting either processing or data as part of a distributed database.
Content management includes the systems for organizing information resources so that they can specially be stored.
The TOGAF framework does NOT include a(n):
When constructing models and diagrams during formalisation of data architecture there are certain characteristics that minimise distractions and maximize useful information. Characteristics include:
Confirming and documenting understanding of different perspectives facilitate:
Enterprise Architecture domains include:
The Data Warehouse (DW) is a combination of three primary components: An integrated decision support database, related software programs and business intelligence reports.
A goal of data architecture is to identify data storage and processing requirements.
The Data Warehouse has a set of storage areas, including:
Regulations including the Sarbanes-Oxley Act require evidence of data lineage and accuracy. How can Data Governance aid organisations in achieving this goal?
What is a steward?
XML provides a language for representing both structures and unstructured data and information.
Veracity refers to how difficult the data is to use or to integrate.
Improving data quality requires a strategy that accounts for the work that needs to be done and the way people will execute it.
Drivers for data governance most often focus on reducing risk or improving processes. Please select the elements that relate to the reduction in risk:
Which of the following would NOT be an interest of Data Governance?
What are some of the business drivers for the ethical handling of data that Data Governance should satisfy?
Which Data Architecture Artifact describes how data transforms into business
assets?