Palantir Application Developer - Certification Exam Questions & Verified 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.
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.
Stuvia 2026-2027 | Latest Version
, Palantir Application Developer - Certification Exam Questions & Verified Answers
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.
Applications - are interactive custom operational interfaces intended for a specific user group to
solve a specific problem.
- are often more complex than dashboards and are oriented at enabling users to
follow a specific and on-rails workflow.
Workflow Styles 1. Exploratory
2. Workflow- specific
Exploratory applications - do not need to be pre-configured by a "builder" user and are used out-of-the-box
by end users as soon as data has been modeled into the Ontology.
- the end-user defines their analytical path, and can answer a wide range of
questions that are not pre-determined.
- typically contain a set of search, visualization, and transformation features to
enable this. Object-aware
- EX: Object Explorer and Quiver.
Workflow-specific Applications - require pre-configuration by a "builder" user before an end user can actually use
them.
- This is typical of Dashboards or Applications that have two primary user groups:
(1) the builder group configuring the specific dashboard or application and
(2) the downstream end users for whom the applications are built. - EX: Workshop
and Slate
Stuvia 2026-2027 | Latest Version
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.
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.
Stuvia 2026-2027 | Latest Version
, Palantir Application Developer - Certification Exam Questions & Verified Answers
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.
Applications - are interactive custom operational interfaces intended for a specific user group to
solve a specific problem.
- are often more complex than dashboards and are oriented at enabling users to
follow a specific and on-rails workflow.
Workflow Styles 1. Exploratory
2. Workflow- specific
Exploratory applications - do not need to be pre-configured by a "builder" user and are used out-of-the-box
by end users as soon as data has been modeled into the Ontology.
- the end-user defines their analytical path, and can answer a wide range of
questions that are not pre-determined.
- typically contain a set of search, visualization, and transformation features to
enable this. Object-aware
- EX: Object Explorer and Quiver.
Workflow-specific Applications - require pre-configuration by a "builder" user before an end user can actually use
them.
- This is typical of Dashboards or Applications that have two primary user groups:
(1) the builder group configuring the specific dashboard or application and
(2) the downstream end users for whom the applications are built. - EX: Workshop
and Slate
Stuvia 2026-2027 | Latest Version
