DMF-1220 Data Management Fundamentals Questions and Answers

Data security internal audits ensure data security and regulatory compliance policies are followed should be conducted regularly and consistently.

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

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.

Development of goals, principles and policies derived from the data governance strategy will not guide the organization into the desired future state.

A communication plan includes an engagement model for stakeholders, the type of information to be shared, and the schedule for sharing information.

Information architecture is the process of creating structure for a body of information or content. It includes the following components:

Release management is critical to batch development processes that grows new capabilities.

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.

There are three techniques for data-based change data capture, namely:

Data quality issues cannot emerge at any point in the data lifecycle.

Data Integrity includes ideas associated with completeness, accuracy, and consistency.

Inputs in the reference and master data context diagram include:

Examples of interaction models include:

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.

Data Warehouse describes the operational extract, cleansing, transformation, control and load processes that maintain the data in a data warehouse.

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.

The need to manage data movement efficiently is a primary driver for Data Integration and Interoperability.

Developing complex event processing solutions require:

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.

Class operations can be:

Effective document management requires clear policies and procedures, especially regarding retention and disposal of records.

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

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

Dimensions of data quality include:

SBA is an abbreviation for service-based architecture.

A data governance strategy defines the scope and approach to governance efforts. Deliverables include:

Data access control can be organized at an individual level or group level, depending on the need.

When assessing security risks it is required to evaluate each system for the following:

Examples of data enhancement includes:

Please select the 2 frameworks that show high-level relationships that influence how an organization manages data.

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

In the Data Warehousing and Business Intelligence Context Diagram, a primary deliverable is the DW and BI Architecture.

Enterprise data architecture project-related activities include:

Examples of transformation in the ETL process onclude:

The first two steps of the Reference data Change request process, as prescribed DMBOk2, include:

The IT security policy provides categories for individual application, database roles, user groups and information sensitivity.

SOA stand for Service Orchestrated Architecture

The target of organizational change is expedition.

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

Business requirements is an input in the Data Warehouse and Business Intelligence context diagram.

SPARC published their three-schema approach to database management. The three key components were:

The DMBOK support’s DAMA’s mission by:

Data science depends on:

An advantage of a centralized repository include: Quick metadata retrieval, since the repository and the query reside together.

CIF stands for:

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.

Advantages if a centralized metadata repository include:

Business glossaries have the following objectives:

Data quality management is a key capability of a data management practice and organization.

Content management includes the systems for organizing information resources so that they can specially be stored.

The Zachman Framweork’s communication interrogative columns provides guidance on defining enterprise architecture. Please select answer(s) that is(are) coupled correctly:

Latency can be:

All metadata management solutions include architectural layers including:

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

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.

An implemented warehouse and its customer facing BI tool is a data product.

Data modelling is most infrequently performed in the context of systems and maintenance efforts, known as SDLC.

As an often-overlooked aspects of basic data movement architecture, Process controls include:

Master data is an aggregation of:

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

Please select the types of DBA specializations:

Subtype absorption: The subtype entity attributes are included as nullable columns into a table representing the supertype entity

Elements that point to differences between warehouses and operational systems include:

SSD is the abbreviation for Solid State Dimension.

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.

Please select the correct principles of the General Data Protection Regulation (GDPR) of the EU.

Examples of the ‘Who’ entity category include: employee; patient; player; and suspect.

One of the deliverables in the Data Integration and Interoperability context diagram is: