1|Page
WGU D467 EXAM EXPLORING DATA|| ACCURATE
AND FREQUENTLY TESTED QUESTIONS AND 100%
CORRECT ANSWERS WITH RATIONALES|| LATEST
AND COMPLETE UPDATE WITH EXPERT VERIFIED
SOLUTIONS|| SURE PASS!!
Select the right data type 2. Determine the time frame for data collection 3. How
the data will be collected 4. How much data to collect 5. Choose data sources 6.
Decide what data to use - ANSWER:Data collection considerations
All possible data values in a certain dataset - ANSWER:Population
A part of the population that is representative of the population -
ANSWER:Sample
Data collected by an individual or group using their own resources -
ANSWER:First-party data
Data collected by a group directly from its audience and then sold -
ANSWER:Second-party data
Data collected from outside sources who did not collect it directly -
ANSWER:Third-party data
Collected by a researcher from first-hand sources - ANSWER:Internal data
(Primary data)
Gathered by other people or from other research - ANSWER:External data
(Secondary data)
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Can be measured and counted using numbers (quantity, amount, range) -
ANSWER:Quantitative data
Cannot be counted, measured or easily expressed in numbers (names, categories,
descriptions) - ANSWER:Qualitative data
Data that is counted and has a limited number of values - ANSWER:Discrete data
Data that is measured and can have any numeric value - ANSWER:Continuous
data
A type of qualitative data that is categorized without a set order -
ANSWER:Nominal data
A type of qualitative data with a set order or scale - ANSWER:Ordinal data
Data organized in a certain format such as rows and columns -
ANSWER:Structured data
Data that is not organized in an easily identifiable manner -
ANSWER:Unstructured data
A model that is used for organizing data elements and how they relate to one
another - ANSWER:Data model
Pieces of information, such as people's names, account numbers, and addresses -
ANSWER:Data elements
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The process of creating diagrams that visually represent how data is organized and
structured - ANSWER:Data modeling
1. Conceptual modeling 2. Logical data modeling 3. Physical data modeling -
ANSWER:Levels of data modeling
Defines all entities and attributes used. - ANSWER:Physical data model
Visual way to understand the relationship between entities in the data model. -
ANSWER:Entity Relationship Diagram (ERD)
Detailed diagrams that describe the structure of a system by showing the system's
entities, attributes, operations, and their relationships. - ANSWER:Unified
Modeling Language (UML)
A specific kind of data attribute that tells what kind of value that is. -
ANSWER:Data type
A sequence of characters and punctuation that contains textual information. -
ANSWER:Text or string
Data type with only two possible values: true or false. - ANSWER:Boolean
A symbol that names the operation or calculation to be performed. -
ANSWER:Operator
Lets you stack both of your conditions. - ANSWER:AND operator
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Lets you move forward if either one of your two conditions is met. -
ANSWER:OR operator
Lets you filter by subtracting specific conditions from the results. -
ANSWER:NOT operator
Record. - ANSWER:Row
Field. - ANSWER:Column
Data where each row contains multiple data points for the particular items
identified in the columns. - ANSWER:Wide data
Data where each row contains a single data point for a particular item. -
ANSWER:Long data
The process of changing the data's format, structure, or values. - ANSWER:Data
transformation
Better organized data is easier to use. - ANSWER:Data organization
Different applications or systems can then use the same data. - ANSWER:Data
compatibility
Data with matching formats can be moved from one system to another. -
ANSWER:Data migration
WGU D467 EXAM EXPLORING DATA|| ACCURATE
AND FREQUENTLY TESTED QUESTIONS AND 100%
CORRECT ANSWERS WITH RATIONALES|| LATEST
AND COMPLETE UPDATE WITH EXPERT VERIFIED
SOLUTIONS|| SURE PASS!!
Select the right data type 2. Determine the time frame for data collection 3. How
the data will be collected 4. How much data to collect 5. Choose data sources 6.
Decide what data to use - ANSWER:Data collection considerations
All possible data values in a certain dataset - ANSWER:Population
A part of the population that is representative of the population -
ANSWER:Sample
Data collected by an individual or group using their own resources -
ANSWER:First-party data
Data collected by a group directly from its audience and then sold -
ANSWER:Second-party data
Data collected from outside sources who did not collect it directly -
ANSWER:Third-party data
Collected by a researcher from first-hand sources - ANSWER:Internal data
(Primary data)
Gathered by other people or from other research - ANSWER:External data
(Secondary data)
,2|Page
Can be measured and counted using numbers (quantity, amount, range) -
ANSWER:Quantitative data
Cannot be counted, measured or easily expressed in numbers (names, categories,
descriptions) - ANSWER:Qualitative data
Data that is counted and has a limited number of values - ANSWER:Discrete data
Data that is measured and can have any numeric value - ANSWER:Continuous
data
A type of qualitative data that is categorized without a set order -
ANSWER:Nominal data
A type of qualitative data with a set order or scale - ANSWER:Ordinal data
Data organized in a certain format such as rows and columns -
ANSWER:Structured data
Data that is not organized in an easily identifiable manner -
ANSWER:Unstructured data
A model that is used for organizing data elements and how they relate to one
another - ANSWER:Data model
Pieces of information, such as people's names, account numbers, and addresses -
ANSWER:Data elements
,3|Page
The process of creating diagrams that visually represent how data is organized and
structured - ANSWER:Data modeling
1. Conceptual modeling 2. Logical data modeling 3. Physical data modeling -
ANSWER:Levels of data modeling
Defines all entities and attributes used. - ANSWER:Physical data model
Visual way to understand the relationship between entities in the data model. -
ANSWER:Entity Relationship Diagram (ERD)
Detailed diagrams that describe the structure of a system by showing the system's
entities, attributes, operations, and their relationships. - ANSWER:Unified
Modeling Language (UML)
A specific kind of data attribute that tells what kind of value that is. -
ANSWER:Data type
A sequence of characters and punctuation that contains textual information. -
ANSWER:Text or string
Data type with only two possible values: true or false. - ANSWER:Boolean
A symbol that names the operation or calculation to be performed. -
ANSWER:Operator
Lets you stack both of your conditions. - ANSWER:AND operator
, 4|Page
Lets you move forward if either one of your two conditions is met. -
ANSWER:OR operator
Lets you filter by subtracting specific conditions from the results. -
ANSWER:NOT operator
Record. - ANSWER:Row
Field. - ANSWER:Column
Data where each row contains multiple data points for the particular items
identified in the columns. - ANSWER:Wide data
Data where each row contains a single data point for a particular item. -
ANSWER:Long data
The process of changing the data's format, structure, or values. - ANSWER:Data
transformation
Better organized data is easier to use. - ANSWER:Data organization
Different applications or systems can then use the same data. - ANSWER:Data
compatibility
Data with matching formats can be moved from one system to another. -
ANSWER:Data migration
