D467 EXPLORING DATA CERTIFICATION
EVALUATION 2026 FULL QUESTIONS AND
CORRECT ANSWERS
◉ Population.
Answer: All possible data values in a certain dataset
◉ Sample.
Answer: A part of the population that is representative of the
population
◉ First-party data.
Answer: Data collected by an individual or group using their own
resources
◉ Second-party data.
Answer: Data collected by a group directly from its audience and
then sold
◉ Third-party data.
Answer: Data collected from outside sources who did not collect it
directly
,◉ Internal data (Primary data).
Answer: Collected by a researcher from first-hand sources
◉ External data (Secondary data).
Answer: Gathered by other people or from other research
◉ Quantitative data.
Answer: Can be measured and counted using numbers (quantity,
amount, range)
◉ Qualitative data.
Answer: Cannot be counted, measured or easily expressed in
numbers (names, categories, descriptions)
◉ Discrete data.
Answer: Data that is counted and has a limited number of values
◉ Continuous data.
Answer: Data that is measured and can have any numeric value
◉ Nominal data.
,Answer: A type of qualitative data that is categorized without a set
order
◉ Ordinal data.
Answer: A type of qualitative data with a set order or scale
◉ Structured data.
Answer: Data organized in a certain format such as rows and
columns
◉ Unstructured data.
Answer: Data that is not organized in an easily identifiable manner
◉ Data model.
Answer: A model that is used for organizing data elements and how
they relate to one another
◉ Data elements.
Answer: Pieces of information, such as people's names, account
numbers, and addresses
◉ Data modeling.
, Answer: The process of creating diagrams that visually represent
how data is organized and structured
◉ Levels of data modeling.
Answer: 1. Conceptual modeling 2. Logical data modeling 3. Physical
data modeling
◉ Physical data model.
Answer: Defines all entities and attributes used.
◉ Entity Relationship Diagram (ERD).
Answer: Visual way to understand the relationship between entities
in the data model.
◉ Unified Modeling Language (UML).
Answer: Detailed diagrams that describe the structure of a system
by showing the system's entities, attributes, operations, and their
relationships.
◉ Data type.
Answer: A specific kind of data attribute that tells what kind of value
that is.
EVALUATION 2026 FULL QUESTIONS AND
CORRECT ANSWERS
◉ Population.
Answer: All possible data values in a certain dataset
◉ Sample.
Answer: A part of the population that is representative of the
population
◉ First-party data.
Answer: Data collected by an individual or group using their own
resources
◉ Second-party data.
Answer: Data collected by a group directly from its audience and
then sold
◉ Third-party data.
Answer: Data collected from outside sources who did not collect it
directly
,◉ Internal data (Primary data).
Answer: Collected by a researcher from first-hand sources
◉ External data (Secondary data).
Answer: Gathered by other people or from other research
◉ Quantitative data.
Answer: Can be measured and counted using numbers (quantity,
amount, range)
◉ Qualitative data.
Answer: Cannot be counted, measured or easily expressed in
numbers (names, categories, descriptions)
◉ Discrete data.
Answer: Data that is counted and has a limited number of values
◉ Continuous data.
Answer: Data that is measured and can have any numeric value
◉ Nominal data.
,Answer: A type of qualitative data that is categorized without a set
order
◉ Ordinal data.
Answer: A type of qualitative data with a set order or scale
◉ Structured data.
Answer: Data organized in a certain format such as rows and
columns
◉ Unstructured data.
Answer: Data that is not organized in an easily identifiable manner
◉ Data model.
Answer: A model that is used for organizing data elements and how
they relate to one another
◉ Data elements.
Answer: Pieces of information, such as people's names, account
numbers, and addresses
◉ Data modeling.
, Answer: The process of creating diagrams that visually represent
how data is organized and structured
◉ Levels of data modeling.
Answer: 1. Conceptual modeling 2. Logical data modeling 3. Physical
data modeling
◉ Physical data model.
Answer: Defines all entities and attributes used.
◉ Entity Relationship Diagram (ERD).
Answer: Visual way to understand the relationship between entities
in the data model.
◉ Unified Modeling Language (UML).
Answer: Detailed diagrams that describe the structure of a system
by showing the system's entities, attributes, operations, and their
relationships.
◉ Data type.
Answer: A specific kind of data attribute that tells what kind of value
that is.
