PALANTIR APPLICATION
DEVELOPER EXAM
Foundry Rules - ANSWERS-- enables uses to customize pipeline
logic with point and click and low-code interface
- users can create rules and apply those rules to datasets, objects, and
time series for a variety of use cases like alert generation or data
categorization.
- Use cases: raise alerts, flag suspicious transactions, categorize
entities into groups based on rules
- can be customized
FR: Rule - ANSWERS-is a set of conditions that, taken together, can
specify particular rows of data in a dataset.
FR: Conditions - ANSWERS-that form a rule apply to the columns of
a dataset and can range from simple filters to complex aggregations,
joins, or other operators.
Deploy Foundry Rule - ANSWERS-1. Deploy workflow template
2. Configure workflow
3. Author and run a rule
,Status - ANSWERS-Every object type, property, link type, action, or
interface in the Ontology has a _____
that indicates developmental state
- this metadata helps Ontology-editing users to know what resources
are being actively relied on by user applications.
i.e. : Active, experimental, deprecated, or example
Status: Active - ANSWERS-Indicates that the resource is actively in
use in user-facing applications and major breaking changes will not be
made in the Ontology Manager.
- cannot be deleted under this status- must be either experimental or
deprecated
- primary key of an ___ obj type cannot be changed, only possible in
experimental
- api name of an ___ resource cannot be changed, only valid in
experimental
Status: Experimental - ANSWERS-Indicates that the resource is still
under development. Changes may be made that make the
experimental item unavailable in user facing applications.
Status: Deprecated - ANSWERS-- Indicates that the resource will
soon be deleted. The deprecated item should not be relied on in user
facing applications.
, - usually has metadata such as a description explaining why, expected
deadline, and/or the resource that is meant to replace it
- cannot be made experiemental, active, or example again by using the
status picker - you would need to restore the Ontology resource to a
version w the desired status
Status: Example - ANSWERS-- resources are notional and are only
suitable for trainings or early-stage, exploratory use.
- are not intended for use in production workflows.
Data Health - ANSWERS-- is a Foundry service that monitors and
alerts on common issues across datasets.
- comes with pre-built checks for potential issues regarding dataset
status, time, size, content, and schema.
- In the event of a failed check, it sends in-platform notifications and
emails to alert you about the failure.
- you can check the health of a dataset, across a project, across a
pipeline, or across the platform
Common pitfalls with data health check set-ups - ANSWERS-- Too
many checks leading to noise in volume of checks
- The wrong kinds of checks leading to unhelpful alerts
- Too few checks resulting in a lack of signal when there is an issue
DEVELOPER EXAM
Foundry Rules - ANSWERS-- enables uses to customize pipeline
logic with point and click and low-code interface
- users can create rules and apply those rules to datasets, objects, and
time series for a variety of use cases like alert generation or data
categorization.
- Use cases: raise alerts, flag suspicious transactions, categorize
entities into groups based on rules
- can be customized
FR: Rule - ANSWERS-is a set of conditions that, taken together, can
specify particular rows of data in a dataset.
FR: Conditions - ANSWERS-that form a rule apply to the columns of
a dataset and can range from simple filters to complex aggregations,
joins, or other operators.
Deploy Foundry Rule - ANSWERS-1. Deploy workflow template
2. Configure workflow
3. Author and run a rule
,Status - ANSWERS-Every object type, property, link type, action, or
interface in the Ontology has a _____
that indicates developmental state
- this metadata helps Ontology-editing users to know what resources
are being actively relied on by user applications.
i.e. : Active, experimental, deprecated, or example
Status: Active - ANSWERS-Indicates that the resource is actively in
use in user-facing applications and major breaking changes will not be
made in the Ontology Manager.
- cannot be deleted under this status- must be either experimental or
deprecated
- primary key of an ___ obj type cannot be changed, only possible in
experimental
- api name of an ___ resource cannot be changed, only valid in
experimental
Status: Experimental - ANSWERS-Indicates that the resource is still
under development. Changes may be made that make the
experimental item unavailable in user facing applications.
Status: Deprecated - ANSWERS-- Indicates that the resource will
soon be deleted. The deprecated item should not be relied on in user
facing applications.
, - usually has metadata such as a description explaining why, expected
deadline, and/or the resource that is meant to replace it
- cannot be made experiemental, active, or example again by using the
status picker - you would need to restore the Ontology resource to a
version w the desired status
Status: Example - ANSWERS-- resources are notional and are only
suitable for trainings or early-stage, exploratory use.
- are not intended for use in production workflows.
Data Health - ANSWERS-- is a Foundry service that monitors and
alerts on common issues across datasets.
- comes with pre-built checks for potential issues regarding dataset
status, time, size, content, and schema.
- In the event of a failed check, it sends in-platform notifications and
emails to alert you about the failure.
- you can check the health of a dataset, across a project, across a
pipeline, or across the platform
Common pitfalls with data health check set-ups - ANSWERS-- Too
many checks leading to noise in volume of checks
- The wrong kinds of checks leading to unhelpful alerts
- Too few checks resulting in a lack of signal when there is an issue
