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Palantir Application Developer & Certification - Foundry Aware Complete Exam Study Questions with Correct Answers

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Palantir Application Developer & Certification - Foundry Aware Complete Exam Study Questions with Correct Answers 1. What is the primary key in an Ontology object type? - ANSWER The unique identifier for objects of a type that maps to a column in the backing dataset. 2. Ontology - ANSWER - 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. 3. Ontology semantic elements - ANSWER objects, properties, links 4. Ontology kinetic elements - ANSWER actions, functions, dynamic security 5. Carbon - ANSWER - 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. 6. Map - ANSWER application allows you to bring together and analyze objects and other data in a geospatial context. 7. Application Comparison - ANSWER see PNG 8. Main Use Cases - ANSWER Discovery, Analysis, Dashboards, and Applications. 9. Discovery - ANSWER - enables users to find the right information or workflow. - is primarily enabled through two core features: curated content hubs and search. 10. Analysis - ANSWER enables users to answer a broad range of questions. 11. Dashboards - ANSWER - 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. 12. Applications - ANSWER - 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. 13. Workflow Styles - ANSWER 1. Exploratory 2. Workflow- specific 14. Exploratory applications - ANSWER - 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. 15. Workflow-specific Applications - ANSWER - 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 16. Configuration Models - ANSWER 1. Walk-up Usable 2. Customizable 17. Walk-Up Usable - ANSWER -applications can be employed effectively and immediately by users, with little to no configuration requirement or maintenance burden. -For example, Object Explorer has minimal-to-no configuration requirement, making it immediately usable for end users once an Ontology is defined. 18. Customizable - ANSWER - applications require an upfront investment (often by a separate "builder" user) to implement an interface that solves a particular problem for an end user. - It also implies a higher ongoing maintenance cost. - the resulting application is typically a fit-for-purpose interface that exactly meets the need of the specific workflow. - EX: Workshop and Slate 19. overall goal of data integration in Foundry - ANSWER - to provide a digital view of the objective reality within your Organization. - Achieving this goal typically requires syncing data from many source systems, imposing a common schema, combining datasets together, and enabling teams to build use cases off a common data foundation. 20. objects, properties, and links - ANSWER Defining the semantics of your organization happens by mapping existing datasources into 21. Action types and Functions - ANSWER The kinetics of the organization— enabling change while complying with organizational controls and governance—are defined in the Ontology using 22. Functions - ANSWER provide a way to author and evolve business logic with arbitrary complexity. 23. Interface - ANSWER -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.

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Inhaltsvorschau

Palantir Application Developer & Certification -
Foundry Aware Complete Exam Study
Questions with Correct Answers

1. What is the primary key in an Ontology object type? - ANSWER The
unique identifier for objects of a type that maps to a column in the backing
dataset.


2. Ontology - ANSWER - 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.


3. Ontology semantic elements - ANSWER objects, properties, links


4. Ontology kinetic elements - ANSWER actions, functions, dynamic security


5. Carbon - ANSWER - 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.

,6. Map - ANSWER application allows you to bring together and analyze
objects and other data in a geospatial context.


7. Application Comparison - ANSWER see PNG


8. Main Use Cases - ANSWER Discovery, Analysis, Dashboards, and
Applications.


9. Discovery - ANSWER - enables users to find the right information or
workflow.
- is primarily enabled through two core features: curated content hubs
and search.


10.Analysis - ANSWER enables users to answer a broad range of questions.


11.Dashboards - ANSWER - 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.


12.Applications - ANSWER - 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.

, 13.Workflow Styles - ANSWER 1. Exploratory
2. Workflow- specific


14.Exploratory applications - ANSWER - 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.


15.Workflow-specific Applications - ANSWER - 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


16.Configuration Models - ANSWER 1. Walk-up Usable
2. Customizable


17.Walk-Up Usable - ANSWER -applications can be employed effectively and
immediately by users, with little to no configuration requirement or
maintenance burden.


-For example, Object Explorer has minimal-to-no configuration requirement,
making it immediately usable for end users once an Ontology is defined.

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