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Palantir Application Developer Exam study guide COMPLETE EXAM Questions and Answers (Verified Answers) (Latest Update 2025) UPDATE!!

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Palantir Application Developer Exam study guide COMPLETE EXAM Questions and Answers (Verified Answers) (Latest Update 2025) UPDATE!!

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Palantir Application Developer Exam study guide
COMPLETE EXAM Questions and Answers
(Verified Answers) (Latest Update 2025) UPDATE!!

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Terms in this set (100)



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.


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.

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