2
Palantir Application Developer Exam with accurate detailed || || || || || || ||
answers
Ontology - ✔✔- an operational layer for the organization.
|| || || || || || || || ||
- sits on top of the digital assets integrated into the Palantir platform (datasets and models)
|| || || || || || || || || || || || || || || ||
and connects them to their real-world counterparts, ranging from physical assets like plants,
|| || || || || || || || || || || ||
equipment, and products to concepts like customer orders or financial transactions.
|| || || || || || || || || || || ||
- serves as a digital twin of the organization, containing both the semantic elements
|| || || || || || || || || || || || || ||
(objects, properties, links) and kinetic elements (actions, functions, dynamic security)
|| || || || || || || || || ||
needed to enable use cases of all types.
|| || || || || || ||
Ontology semantic elements - ✔✔objects, properties, links
|| || || || || ||
Ontology kinetic elements - ✔✔actions, functions, dynamic security
|| || || || || || ||
objects, properties, and links - ✔✔Defining the semantics of your organization happens by
|| || || || || || || || || || || || ||
mapping existing datasources into || || ||
Action types and Functions - ✔✔The kinetics of the organization—enabling change while
|| || || || || || || || || || || ||
complying with organizational controls and governance—are defined in the Ontology using
|| || || || || || || || || ||
Functions - ✔✔provide a way to author and evolve business logic with arbitrary complexity.
|| || || || || || || || || || || || ||
Interface - ✔✔-an Ontology type that describes the shape of an object type and its
|| || || || || || || || || || || || || || ||
capabilities.
-provide object type polymorphism, allowing for consistent modeling of and interaction
|| || || || || || || || || || ||
with object types that share a common shape.
|| || || || || || ||
,2
Object Views - ✔✔are a central hub for all information and workflows related to a
|| || || || || || || || || || || || || || ||
particular object. This includes key "biographical data" about an object, any linked objects,
|| || || || || || || || || || || || ||
key related metrics, and links to (or embedding of) key analyses, dashboards, and
|| || || || || || || || || || || || ||
applications related to the object.ho || || || ||
Object Explorer - ✔✔-a search and analysis tool for answering questions about anything in
|| || || || || || || || || || || || || ||
the Ontology layer.
|| ||
-requires no pre-configuration and is geared towards less technical users.
|| || || || || || || || ||
Quiver - ✔✔-enables advanced analytical workflows in the Ontology layer through a visual
|| || || || || || || || || || || || ||
point-and-click interface and a powerful charting library. - can be used to support anything || || || || || || || || || || || || || ||
from simple linear drill-down analyses to highly-branched and complex analyses with
|| || || || || || || || || || ||
aggregations and statistical functions. || || || ||
- also supports native time series analysis.
|| || || || || ||
- analyses can be templatized into read-only dashboards for broader consumption.
|| || || || || || || || || ||
Workshop - ✔✔-enables point-and-click code-less application-building natively on the
|| || || || || || || || ||
Ontology layer. ||
-Applications built are more dynamic and interactive than typical dashboards created in
|| || || || || || || || || || || || ||
other point-and-click tools.
|| ||
- as user-friendly and high-quality as custom React applications
|| || || || || || || ||
Slate - ✔✔-a flexible application builder for Foundry that requires more technical
|| || || || || || || || || || || ||
configuration and code than Workshop. || || || || ||
- applications interact with the Ontology layer, but can also interact directly with Foundry
|| || || || || || || || || || || || || ||
datasets. ||
- enables significant visual customization based on web development paradigms and has a
|| || || || || || || || || || || || ||
wide range of available features, but also requires more technical knowledge to build and
|| || || || || || || || || || || || || ||
maintain applications than Workshop. || || ||
, 2
Carbon - ✔✔- enables combining multiple resources or applications in Foundry to create
|| || || || || || || || || || || || ||
highly curated workspaces for operational users. By allowing you to combine analytical
|| || || || || || || || || || || ||
results such as dashboards, applications built in Workshop or Slate, and out-of-the-box
|| || || || || || || || || || || ||
capabilities such as Object Views and Object Explorer, it enables workflow builder to
|| || || || || || || || || || || || ||
perform the "last mile" of customization to create a highly tailored and usable experience for
|| || || || || || || || || || || || || ||
end users.
|| ||
- can provide a focused experience for less technical users that need to carry out critical
|| || || || || || || || || || || || || || || ||
operational workflows. ||
Map - ✔✔application allows you to bring together and analyze objects and other data in a
|| || || || || || || || || || || || || || || ||
geospatial context. ||
Application Comparison - ✔✔see PNG || || || ||
Main Use Cases - ✔✔Discovery, Analysis, Dashboards, and Applications.
|| || || || || || || ||
Discovery - ✔✔- enables users to find the right information or workflow.
|| || || || || || || || || || || ||
- is primarily enabled through two core features: curated content hubs and search.
|| || || || || || || || || || || ||
Analysis - ✔✔enables users to answer a broad range of questions.
|| || || || || || || || || ||
Dashboards - ✔✔- are sets of pre-configured visualizations consumed primarily in a read-
|| || || || || || || || || || || ||
only fashion by a broader set of consumer users.
|| || || || || || || || ||
- are often used to turn meaningful Analyses into recurring reporting or operational
|| || || || || || || || || || || || ||
monitoring. ||
- are characterized by a large number of charts and other visualizations, but are not as
|| || || || || || || || || || || || || || || ||
customizable or interactive as Applications (see below). || || || || || || ||
- are often parameterized such that users can filter down the visualizations to different
|| || || || || || || || || || || || || ||
subsets of data. || ||
Palantir Application Developer Exam with accurate detailed || || || || || || ||
answers
Ontology - ✔✔- an operational layer for the organization.
|| || || || || || || || ||
- sits on top of the digital assets integrated into the Palantir platform (datasets and models)
|| || || || || || || || || || || || || || || ||
and connects them to their real-world counterparts, ranging from physical assets like plants,
|| || || || || || || || || || || ||
equipment, and products to concepts like customer orders or financial transactions.
|| || || || || || || || || || || ||
- serves as a digital twin of the organization, containing both the semantic elements
|| || || || || || || || || || || || || ||
(objects, properties, links) and kinetic elements (actions, functions, dynamic security)
|| || || || || || || || || ||
needed to enable use cases of all types.
|| || || || || || ||
Ontology semantic elements - ✔✔objects, properties, links
|| || || || || ||
Ontology kinetic elements - ✔✔actions, functions, dynamic security
|| || || || || || ||
objects, properties, and links - ✔✔Defining the semantics of your organization happens by
|| || || || || || || || || || || || ||
mapping existing datasources into || || ||
Action types and Functions - ✔✔The kinetics of the organization—enabling change while
|| || || || || || || || || || || ||
complying with organizational controls and governance—are defined in the Ontology using
|| || || || || || || || || ||
Functions - ✔✔provide a way to author and evolve business logic with arbitrary complexity.
|| || || || || || || || || || || || ||
Interface - ✔✔-an Ontology type that describes the shape of an object type and its
|| || || || || || || || || || || || || || ||
capabilities.
-provide object type polymorphism, allowing for consistent modeling of and interaction
|| || || || || || || || || || ||
with object types that share a common shape.
|| || || || || || ||
,2
Object Views - ✔✔are a central hub for all information and workflows related to a
|| || || || || || || || || || || || || || ||
particular object. This includes key "biographical data" about an object, any linked objects,
|| || || || || || || || || || || || ||
key related metrics, and links to (or embedding of) key analyses, dashboards, and
|| || || || || || || || || || || || ||
applications related to the object.ho || || || ||
Object Explorer - ✔✔-a search and analysis tool for answering questions about anything in
|| || || || || || || || || || || || || ||
the Ontology layer.
|| ||
-requires no pre-configuration and is geared towards less technical users.
|| || || || || || || || ||
Quiver - ✔✔-enables advanced analytical workflows in the Ontology layer through a visual
|| || || || || || || || || || || || ||
point-and-click interface and a powerful charting library. - can be used to support anything || || || || || || || || || || || || || ||
from simple linear drill-down analyses to highly-branched and complex analyses with
|| || || || || || || || || || ||
aggregations and statistical functions. || || || ||
- also supports native time series analysis.
|| || || || || ||
- analyses can be templatized into read-only dashboards for broader consumption.
|| || || || || || || || || ||
Workshop - ✔✔-enables point-and-click code-less application-building natively on the
|| || || || || || || || ||
Ontology layer. ||
-Applications built are more dynamic and interactive than typical dashboards created in
|| || || || || || || || || || || || ||
other point-and-click tools.
|| ||
- as user-friendly and high-quality as custom React applications
|| || || || || || || ||
Slate - ✔✔-a flexible application builder for Foundry that requires more technical
|| || || || || || || || || || || ||
configuration and code than Workshop. || || || || ||
- applications interact with the Ontology layer, but can also interact directly with Foundry
|| || || || || || || || || || || || || ||
datasets. ||
- enables significant visual customization based on web development paradigms and has a
|| || || || || || || || || || || || ||
wide range of available features, but also requires more technical knowledge to build and
|| || || || || || || || || || || || || ||
maintain applications than Workshop. || || ||
, 2
Carbon - ✔✔- enables combining multiple resources or applications in Foundry to create
|| || || || || || || || || || || || ||
highly curated workspaces for operational users. By allowing you to combine analytical
|| || || || || || || || || || || ||
results such as dashboards, applications built in Workshop or Slate, and out-of-the-box
|| || || || || || || || || || || ||
capabilities such as Object Views and Object Explorer, it enables workflow builder to
|| || || || || || || || || || || || ||
perform the "last mile" of customization to create a highly tailored and usable experience for
|| || || || || || || || || || || || || ||
end users.
|| ||
- can provide a focused experience for less technical users that need to carry out critical
|| || || || || || || || || || || || || || || ||
operational workflows. ||
Map - ✔✔application allows you to bring together and analyze objects and other data in a
|| || || || || || || || || || || || || || || ||
geospatial context. ||
Application Comparison - ✔✔see PNG || || || ||
Main Use Cases - ✔✔Discovery, Analysis, Dashboards, and Applications.
|| || || || || || || ||
Discovery - ✔✔- enables users to find the right information or workflow.
|| || || || || || || || || || || ||
- is primarily enabled through two core features: curated content hubs and search.
|| || || || || || || || || || || ||
Analysis - ✔✔enables users to answer a broad range of questions.
|| || || || || || || || || ||
Dashboards - ✔✔- are sets of pre-configured visualizations consumed primarily in a read-
|| || || || || || || || || || || ||
only fashion by a broader set of consumer users.
|| || || || || || || || ||
- are often used to turn meaningful Analyses into recurring reporting or operational
|| || || || || || || || || || || || ||
monitoring. ||
- are characterized by a large number of charts and other visualizations, but are not as
|| || || || || || || || || || || || || || || ||
customizable or interactive as Applications (see below). || || || || || || ||
- are often parameterized such that users can filter down the visualizations to different
|| || || || || || || || || || || || || ||
subsets of data. || ||
