D467 EXPLORING DATA PROCTORED ACTUAL
EXAM 2026 COMPLETE QUESTIONS AND
CORRECT VERIFIED ANSWERS DETAILED
ANSWERS ALREADY GRADED A PLUS 100
PERCENT GUARANTEED TO PASS CONCEPTS
◉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
◉Population . Answer: All possible data values in a certain dataset
◉Sample . Answer: A part of a population that is representative of the
population
,◉Cookies . Answer: Small files stored on computers that contain
information about users
◉Discrete Data . Answer: Data that is counted and has a limited number
of values
◉Continuous Data . Answer: Data that is measured and can have almost
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
◉Internal Data . Answer: Data that lives within a company's own
systems
◉External Data . Answer: Data that lives and is generated outside of an
organization
◉Structured Data . Answer: Data organized in a certain format such as
rows and columns
, ◉Unstructured Data . Answer: Data that is not organized in any 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
◉What are the 3 most common types of data modeling? . Answer:
Conceptual, Logical, Physical
◉Conceptual data modeling . Answer: gives a high-level view of the
data structure, such as how data interacts across an organization. For
example, a conceptual data model may be used to define the business
requirements for a new database. A conceptual data model doesn't
contain technical details.
◉Logical data modeling . Answer: focuses on the technical details of a
database such as relationships, attributes, and entities. For example, a
logical data model defines how individual records are uniquely
identified in a database. But it doesn't spell out actual names of database
tables. That's the job of a physical data model.
EXAM 2026 COMPLETE QUESTIONS AND
CORRECT VERIFIED ANSWERS DETAILED
ANSWERS ALREADY GRADED A PLUS 100
PERCENT GUARANTEED TO PASS CONCEPTS
◉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
◉Population . Answer: All possible data values in a certain dataset
◉Sample . Answer: A part of a population that is representative of the
population
,◉Cookies . Answer: Small files stored on computers that contain
information about users
◉Discrete Data . Answer: Data that is counted and has a limited number
of values
◉Continuous Data . Answer: Data that is measured and can have almost
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
◉Internal Data . Answer: Data that lives within a company's own
systems
◉External Data . Answer: Data that lives and is generated outside of an
organization
◉Structured Data . Answer: Data organized in a certain format such as
rows and columns
, ◉Unstructured Data . Answer: Data that is not organized in any 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
◉What are the 3 most common types of data modeling? . Answer:
Conceptual, Logical, Physical
◉Conceptual data modeling . Answer: gives a high-level view of the
data structure, such as how data interacts across an organization. For
example, a conceptual data model may be used to define the business
requirements for a new database. A conceptual data model doesn't
contain technical details.
◉Logical data modeling . Answer: focuses on the technical details of a
database such as relationships, attributes, and entities. For example, a
logical data model defines how individual records are uniquely
identified in a database. But it doesn't spell out actual names of database
tables. That's the job of a physical data model.
