UPDATED [May 02, 2026] Pass Data Management Fundamentals Exam with Latest Questions [Q213-Q230]

QUESTION 213
Adoption of a Data Governance program is most likely to succeed:

When the CDO is a charismatic leader

In 1 or 2 months with a large consulting team

When the entire enterprise is partaking at once

When dictated by senior executives

With an incremental rollout strategy

QUESTION 214
Orchestration is the term used to describe how multiple processes are organized and executed in a system.

TRUE

FALSE

QUESTION 215
Critical success factors throughout the BI/DW lifecycle include:

Business readiness

A clear and consistent focus

Vision alignment

Business sponsorship

Linear symmetry

A consistent line across display methods

QUESTION 216
What are some of the business drivers for the ethical handling of data that Data Governance should satisfy?

Develop Employee Awareness of the organizational risks on unethical data handling

All of these

Define what ethical handling of data means to the organization

Achieve the preferred culture and actions in handling data

Monitor, Measure and adjust the organizations approach to data ethics

QUESTION 217
A weakness or defect in a system that allows it to be successfully attacked and compromised is a:

Risk

Threat

Feature

Vulnerability

Chasm

QUESTION 218
During the initial scoping of a project, a data model can be used to:

Determine the impact of business processes and customer lifecycles

Identify detailed impact on all the tables in a database that must be changed

Plan structure of the metadata repository

Provide a clear definition of affected and non-affected data entities

Determine the security requirements for accessing the data

QUESTION 219
Naming standards for data domains should:

Contain acronyms that are relevant to the organization because everyone should know them

Be approved by the database administrators

Minimize name changes across environments

Should reflect their specific environment such as QA, Pre-Prod and Production

Be short for ease of use

QUESTION 220
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.

FALSE

TRUE

QUESTION 221
Data handling ethics are concerned with how to procure, store, manage, use and dispose of data in ways that are aligned with ethical principles.

TRUE

FALSE

QUESTION 222
The Data Warehouse (DW) is a combination of three primary components: An integrated decision support database, related software programs and business intelligence reports.

FALSE

TRUE

QUESTION 223
Data governance requires control mechanisms and procedures for, but not limited to, identifying, capturing, logging and updating actions.

FALSE

TRUE

QUESTION 224
Where does the ethical responsibility lie with respect to managing data to reduce risks of misrepresentation, misuse, or misunderstanding?

Everybody that makes use of data within the organization is responsible for the ethical use of the data

Business owns the data and is therefore ethically responsible for managing data across the data lifecycle

The ethical responsibility lies with Data Management professionals to manage data and to manage the associated risks

Data modellers carry responsibility to ensure that data handling ethics are achieved by design

Risk Management is responsible for ethical data management

QUESTION 225
Confirming and documenting understanding of different perspectives facilitate:

Formalization

Normalization

Scope definition

Knowledge retention/documentation

QUESTION 226
A database uses foreign keys from code tables for column values. This is a way of implementing:

Master data

Event data

Reference data

Star schema data

Temporal data

QUESTION 227
Some document management systems have a module that may support different types of workflows such as:

Quality Assurance Testing (QA)

Manual workflows that indicate where the user send the document

User Acceptance Testing (UAT)

Dynamic rules that allow for different workflows based on content

All of the above

None of the above

QUESTION 228
What areas should you consider when constructing an organization’s Data Governance operating model?

Cultural factors. Governance strategy will need to advocate for an operating model that fits with organizational culture, while still progressing change

What is their Business Model (decentralized vs. centralized, local vs. international, etc.)

Impact of regulation. Highly regulated organizations will have a different mindset and operating model of Data Governance than those less regulated

All of these

Value of the data to the organization. Is their Data a crucial commodity (do they sell the data)

QUESTION 229
Domains can be identified in different ways including: data type; data format; list; range; and rule-based.

TRUE

FALSE

QUESTION 230
A point to point interface architecture will, in general, have more or less interfa formats than a service oriented architecture?

A few less

About the same

A few more

Many less