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Inputs in the data storage and operations context diagram include:

A.

Data requirements

B.

Service level agreements

C.

Data Management Architecture

D.

Systems Architecture

E.

Data architecture

F.

Data models

Time-based patterns are used when data values must be associated in chronological order and with specific time values.

A.

TRUE

B.

FALSE

Data Governance Office (DGO) focuses on enterprise-level data definitions and data management standards across all DAMA-DMBOK knowledge areas. Consists of coordinating data management roles.

A.

TRUE

B.

FALSE

The difference between warehouses and operational systems do not include the following element:

A.

Time variant

B.

Database

C.

Subject-orientated

D.

Historical

Data quality issues only emerge at initial stages of the data lifecycle.

A.

TRUE

B.

FALSE

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

A.

TRUE

B.

FALSE

A data warehouse deployment with multiple ETL, storage and querying tools often

suffers due to the lack of:

A.

Integration of the dictionaries to achieve common understanding

B.

Conflict between software vendors

C.

Disk space on the big data platform

D.

Quality data modelers

E.

Common data types in the source datasets

Various Regulations require evidence of clear data lineage and accuracy. How can we as data managers best serve our enterprises in achieving this goal?

A.

Perform a one off review of data quality

B.

Create a new data store for regulator required metrics

C.

Capture and document all metrics and store in a central repository

D.

Undertake an audit of current process and produce a report

E.

Provide the framework and guidance to enable a business led ongoing Data Governance process

ETL is the basic process which is central to all areas in Data Integration and Interoperability. It is an abbreviation for extract, transition and load.

A.

TRUE

B.

FALSE

What is the main purpose of developing a Data Architecture Roadmap?

A.

To help forward-looking decision making

B.

To help the management of the organization to see the trade-offs

C.

To manage the data dependencies that require active management

D.

To formulate a plan to address architectural problems in the business

E.

To ensure that projects are aligned with business needs and opportunities

Metadata management solutions include architectural layers including:

A.

Metadata control and management

B.

Metadata Marketing

C.

Metadata usage

D.

Metadata integration

E.

Metadata Sales

F.

Metadata delivery

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.

A.

FALSE

B.

TRUE

The database administrator (DBA) is the most established and the most widely adopted data professional role.

A.

TRUE

B.

FALSE

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.

A.

TRUE

B.

FALSE

Data lineage is useful to the development of the data governance strategy.

A.

TRUE

B.

FALSE