Obfuscating or redacting data is the practice of making information anonymous ot removing sensitive information. Risks are present in the following instances:

Types of metadata include:

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.

The second stage of Kotter’s eight stage process is:

Characteristics that minimise distractions and maximise useful information include, but not limited to, consistent object attributes

Accomplish repository scanning in two distinct approaches, including:

Project that use personal data should have a disciplined approach to the use of that data. They should account for:

Operational Metadata describes details of the processing and accessing of data. Which one is not an example:

Barriers to effective management of data quality include:

Databases are categorized in three general ways:

Bias refers to an inclination of outlook. Please select the types of data bias:

Well prepared records have characteristics such as:

Please select the correct general cost and benefit categories that can be applied consistently within an organization.

Business rules describe why business should operate internally, in order to be successful and compliant with the outside world.

Implementing a BI portfolio is about identifying the right tools for the right user communities within or across business units.

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.

The most important reason to implement operational data quality measurements is to inform data consumers about levels of data effectiveness.

Modeling Bid data is a non-technical challenge but critical if an organization that want to describe and govern its data.

Data governance requires control mechanisms and procedures for, but not limited to, assignment and tracking of action items.

JSON is an open, lightweight standard format for data interchange.

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.

Data Management Professionals only work with the technical aspects related to data.

SOA stand for Service Orchestrated Architecture

Please select the transition phases in Bridges’ Transition process:

Location Master Data includes business party addresses and business party location, as well as facility addresses for locations owned by organizations.

Poorly managed Metadata leads to, among other, redundant data and data management processes.

Please select the 3 visuals that depict DAMA’s Data Management Framework.

ISO 8000 will describe the structure and organization of data quality management, including:

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.

Metadata is described using a different set of categories, not including:

Corrective actions are implemented after a problem has occurred and been detected.

Device security standards include:

Defining quality content requires understanding the context of its production and use, including:

Different storage volumes include:

Developing complex event processing solutions require:

Metrics tied to Reference and Master Data Quality include:

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 four domains of enterprise architecture:

The business glossary application is structured to meet the functional requirements of the three core audiences:

Within each area of consideration mentioned in question 13, they should address morale adversity as per Ethical Risk Model for Sampling Projects.

Inputs in the Data Integration and Interoperability context diagram include:

Three classic implementation approaches that support Online Analytical Processing include:

A goal of data governance is to enable an organisation to manage its data as a liability.

Match rules for different scenarios require different workflows, including:

Category information is one of the types of data that can be modelled.

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:

Most document programs have policies related to:

Misleading visualisations could be an example where a base level of truthfulness and transparency are not adhered to.

Examples of concepts that can be standardized within the data quality knowledge area include:

Inputs in the data storage and operations context diagram include:

For each subject area logical model: Decrease detail by adding attributes and less-significant entities and relationships.

Governance ensures data is managed, but is not include the actual act of managing data.

Effective data management involves a set of complex, interrelated processes that enable an organisation to use its data to achieve strategic goals.

Enterprise data architecture description must include both [1] as well as [2]

Orchestration is the term used to describe how multiple processes are organized and executed in a system.

Improving an organization’s ethical behaviour requires an informal Organizational Change Management (OCM) process.

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.

A limitation of the centralized approach include: Maintenance of a decentralized repository is costly.

Metadata is described using different set of categories, including:

A hacker is a person who finds unknown operations and pathways within complex computer system. Hackers are only bad.

Confirming and documenting understanding of different perspectives facilitate:

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:

What type of key is used in physical and sometimes logical relational data modelling schemes to represent a relationship?

Malware refers to any infectious software created to damage, change or improperly access a computer or network.

Principles for data asset accounting include:

Disciplines within the enterprise architecture practice does not include:

Instant Messaging (IM) allows a user to message each other in real-time.

Control activities to manage metadata stores include:

SOA stands for:

Enterprise data architecture project-related activities include:

Organizations conduct capability maturity assessments for a number of reasons, including:

Data Integration and Interoperability (DII) describes processes related to the movement and consolidation of data within and between data stores, applications and organizations.