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.