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DAMA PRACTICE EXAM (150 Q'S)

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DAMA PRACTICE EXAM (150 Q'S)

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DAMA PRACTICE EXAM (150 Q'S)
7. What is a hash?
a. An algorithm that converts text into encoded values
b. A public key that is freely available and used to encode data along with a receiver's
private key
c. A clearinghouse for encrypted data
d. A symmetric encryption method
e. A meetup for Data Strategists - Answers -a. An algorithm that converts text into
encoded values
Topic: Data Security
Explanation: A hash is a form of encryption that uses algorithms to convert data into a
mathematical representation.
The exact algorithms and the order of their application must be known in order to
reverse the encryption process and
reveal the original data (ch.7, section 1.3.8.1 Hash, p. 227).

Data Standards used by enterprise must? - Answers -Promote consistent results but
periodically be reviewed and updated.

The role of the conceptual data model in the Metadata repository is? - Answers -To
summarize the key data subject areas for a business area at a high level of abstraction
to enable major data concepts to be understood.

What are the stages of the Data Quality Management Cycle and or the Shewhart chart?
- Answers -Plan, Do, Check, Act

2. Which of the following is NOT included in the 2015 opinion of the European Data
Protection Supervisor (EDPS) on
digital ethics?
a. Right to request removal of personal data
b. Accountable controllers who determine personal information processing
c. Privacy-conscious engineering and design of data processing products and services
d. Future-oriented regulation of data processing and respect for the rights to privacy and
to data protection
e. Empowered individuals - Answers -a. Right to request removal of personal data
Topic: Data Ethics
Explanation: In 2015, the European Data Protection Supervisor published an opinion on
digital ethics highlighting the
"engineering, philosophical, legal, and moral implications" of developments in data
processing and Big Data. It called
for a focus on data processing that upholds human dignity, and set out four pillars
required for an information
ecosystem that ensures ethical treatment of data. The four pillars are answer choices B
through E (ch. 2, section 3.1
Ethical Principles for Data, p. 52).

,3 Within the Data Governance framework, which component incorporates education,
training, and raising awareness?
a. Roles
b. Processes
c. Communication
d. Data
e. Tools - Answers -c. Communication
Topic: Data Governance
Explanation: Communication helps convey the principles of Data Governance, create
awareness about the importance
of data quality, security, and compliance, and ensure that individuals are trained to
follow the established processes
(ch. 3, section 2.9 Engage Change Management, p. 85


6. Which of the following Knowledge Areas provides version control information about
an organization's datasets?
a. Data Quality
b. Master Data
c. Reference Data
d. Data Modeling
e. Metadata - Answers -e. Metadata
Topic: Metadata Management
Explanation: Metadata entails the management of information related to the data
lifecycle including maintaining a
historical record (i.e., data lineage) that includes version history (ch. 12, section 1.3.2
Types of Metadata, p. 422).

9. Taxonomy refers to...
a. Any classification or controlled vocabulary
b. Classification of organizational resources
c. Arrangement of controlled vocabulary
d. Constrained set of organizational vocabulary
e. Categorization of controlled phrases - Answers -a. Any classification or controlled
vocabulary
Topic: Document & Content Management
Explanation: Taxonomy is an umbrella term referring to any classification or controlled
vocabulary. The best-known
example of a taxonomy might be the classification system for all living things that was
developed by Swedish biologist
Carl Linnaeus (ch. 9, section 1.3.2.6 Taxonomies, p. 312).

10. Which position is responsible for the quality and use of the organization's data
assets?
a. Data Architect

,b. Data Modeler
c. Data Steward
d. Chief Information Officer
e. Data Scientist - Answers -c. Data Steward
Topic: Data Governance
Explanation: The Data Architect and Data Modeler roles are related to database
architecture. The Chief Information
Officer is responsible for Information Technology across the enterprise. A Data Scientist
uses an organization's data to
derive insights. The Data Steward role is responsible for the quality and use of data
assets within their specified
domain (ch. 3, section 1.3.4 Data Stewardship, p. 75).

11. Which is the most accurate definition of the term data lifecycle?
a. The path along which data moves from its point of origin to its point of storage,
usage, or disposal
b. Management of the risks associated with data
c. Data that is used to manage and use data
d. A range of perspectives on how to approach Data Management
e. A representation of the cross-functional nature of data - Answers -a. The path along
which data moves from its point of origin to its point of storage, usage, or disposal
Topic: Data Storage & Operations
Explanation: Data lifecycle management includes the implementation of policies and
procedures for the acquisition,
migration, retention, expiration, and disposal of data (ch. 6, section 1.3.2 Data Lifecycle
Management, p. 173).

12. What is the correct definition of change data capture?
a. A Data Integration approach that updates a Data Warehouse with big changes from
Operational Systems
b. A Data Warehousing approach to transforming Operational Systems into Data Marts
c. A Data Quality initiative that assesses any discrepancies between data stored in a
Data Warehouse and data in
Operational Systems
d. A Metadata document that describes how data is transformed in the Data Warehouse
e. A Data Integration approach that updates a Data Warehouse with small changes
from Operational Systems - Answers -e. A Data Integration approach that updates a
Data Warehouse with small changes from Operational Systems
Topic: Data Integration & Interoperability
Explanation: Change data capture (CDC) refers to the process of detecting that data
has changed and ensuring that
only the changed information is updated appropriately across the data storage system
(ch. 6, section 1.3.10.3 Change
Data Capture, p. 190).

13. What is the purpose of the Conceptual Data Model?

, a. To provide a comprehensive overview of the organization by documenting how
different business entities
create and share data with one another
b. To capture high-level data requirements as a collection of related concepts
c. To provide a detailed representation of data requirements, usually in support of a
specific usage context
d. To offer a detailed technical solution for how data will be implemented within a
particular technology
e. To document how data is to be stored and accessed in a particular data system -
Answers -b. To capture high-level data requirements as a collection of related concepts
Topic: Data Modeling & Design
Explanation: A Conceptual Data Model captures the high-level data requirements as a
collection of related concepts. It
contains only the basic and critical business entities within a given realm and function,
showing a description of each
entity and the relationships between entities (ch. 5, section 1.3.5.1 Conceptual, p. 145).

14. A dataset composed of county-level statistics provided by the national government
would be an example of:
a. Reference Data
b. Master Data
c. Historical Data
d. Metadata
e. Transactional Data - Answers -a. Reference Data
Topic: Master & Reference Data Management
Explanation: Reference Data typically comes from outside the organization. It is used to
provide additional context on
the organization's data. It can help relate the organization's data to information beyond
the boundaries of the
organization (ch. 10, section 1.3.1 Difference Between Master & Reference Data, p.
350).

15. When Metadata activities are focused on documents, the information is referred to
as...
a. Legal Metadata
b. Reference Metadata
c. Administrative Metadata
d. Preservation Metadata
e. Descriptive Metadata - Answers -d. Preservation Metadata
Topic: Metadata Management
Explanation: Preservation Metadata represents information about document storage,
archival conditions, and rules for
conservation (ch. 12, section 1.3.4 Metadata for Unstructured Data, p. 425).

16. A dataset composed of the X, Y coordinates of company store locations would be
an example of:

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