DMF-1220 Practice Exam Questions and Answers

Data science involves the iterative inclusion of data sources into models that develop insights. Dat science depends on:

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:

Controlling data availability requires management of user entitlements and of structures that technically control access based on entitlements.

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

Inputs in the data modelling and design context diagram include:

Reference and Master Data Management follow these guiding principles:

Functionality-focused requirements associated with a comprehensive metadata solution, include:

A metadata repository is essential to assure the integrity and consistent use of an enterprise data model across business processes.

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.

Integration of ETL data flows will usually be developed within tools specialised to manage those flows in a proprietary way.

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

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

Inputs in the reference and master data context diagram include:

Most document programs have policies related to:

Value is the difference between the cost of a thing and the benefit derived from that thing.

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

SOR Stands for:

A goal of data architecture is to identify data storage and processing requirements.

Analytics models are associated with different depths of analysis, including:

A business driver for Master Data Management program is managing data quality.

The target of organizational change is expedition.

A limitation of the centralized metadata repository approach is it may be less expensive.

Select three correct attributes a data governance programme must be:

Please select the correct name for the PDM abbreviation when referring to modelling.

Access to data for Multidimensional databases use a variant of SQL called MDX or Multidimensional expression.

Deliverables in the data quality context diagram include:

The goals of Data Integration and Interoperability include:

Technical Metadata provides data about the technical data, the systems that store data, and the processes that move between systems.

Changes to reference data do not need to be management, only metadata should be managed.

SOA is an abbreviation for service orientated architecture.

The DMBOK support’s DAMA’s mission by:

The four main types of NoSQL databases are:

Field overloading: Unnecessary data duplication is often a result of poor data management.

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

The biggest business driver for developing organizational capabilities around Big Data and Data Science is the desire to find and act on business opportunities that may be discovered through data sets generated through a diversified range of processes.

Enterprise data architecture influences the scope boundaries of project and system releases. An example of influence is data replication control.

Security Risks include elements that can compromise a network and/or database.

Enterprise data architecture usually include the following work streams:

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

Business glossaries have the following objectives:

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

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.

Confirming and documenting understanding of different perspectives facilitate:

SOA stand for Service Orchestrated Architecture

On example of a transformation process in ETL is:

The CAP theorem asserts that the distributed system cannot comply with all the parts of the ACI

D.  

Real-time data integration is usually triggered by batch processing, such as historic data.

The first two steps in the data science process are:

Accomplish repository scanning in two distinct approaches, including:

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 load step of the ETL is physically storing or presenting the results of the transformation into the source system.

A content strategy should end with an inventory of current state and a gap assessment.

Master data management includes several basic steps, which include: Develop rules for accurately matching and merging entity instances.

Metadata is described using three sets od categories, 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.

CMA is an abbreviation for Capability Maturity Assessment.

Self-service is a fundamental delivery channel in the BI portfolio.

The data in Data warehouses and marts differ. Data is organized by subject rather than function

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

An advantage of a centralized repository include: High availability since it is independent of the source systems.

Developing complex event processing solutions require:

Data and enterprise architecture deal with complexity from two viewpoints:

DMMA ratings represent a snapshot of the organization’s capability level.

Please select the four domains of enterprise architecture:

Data integrity is the state of being partitioned – protected from being whole.

A node is a group of computers hosting either processing or data as part of a distributed database.

Structural Metadata describe srealtionships within and among resource and enables identification and retrieval.

Typically, DW/BI projects have three concurrent development tracks, including:

Data profiling also includes cross-column analysis, which can identify overlapping or duplicate columns and expose embedded value dependencies.

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.

The Belmont principles that may be adapted for Information Management disciplines, include:

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