PALANTIR DATA ENGINEERING CERTIFICATION
EXAM QUESTIONS AND VERIFIED ANSWERS |
ALREADY GRADED A+ | LATEST VERSION 2026/2027.
"Which of the following practices are essential when
implementing pipelines that back ontology objects and links in
Foundry? Select two.
Aligning pipeline logic with the ontology's entity and
relationship definitions.
Using only default transformation settings without
customization.
Avoiding documentation to keep the pipeline simple.
Manually verifying each pipeline run for consistency.
Ensuring that data transformations preserve the integrity of
semantic relationships.
Implementing error handling to manage discrepancies between
data sources and ontology requirements. - CORRECT
ANSWER=> Aligning pipeline logic with the ontology's entity
and relationship definitions.
Ensuring that data transformations preserve the integrity of
semantic relationships."
"You are assigned to maintain a critical data pipeline in Foundry
that has been experiencing intermittent failures. To ensure timely
Page | 1
,resolution and support, which of the following support structures
should you establish?
"A data scientist wants to leverage their existing Jupyter
notebooks within Palantir AIP for data analysis without
switching to a different interface. Which feature of Palantir AIP
should they utilize to achieve this?
REST Interfaces
Virtual Tables
Palantir HyperAuto Pipelines
Code Workspaces - CORRECT ANSWER=> Code Workspaces"
"What are the kinetic elements in the Palantir Ontology?
Objects, Properties, Links
Actions, Functions
Semantics, Interfaces
Object Types, Link Types - CORRECT ANSWER=> Actions,
Functions"
"Which Linux operating system version is specifically
recommended for hosting a Foundry agent?
Ubuntu 18.04
Fedora 34
Page | 2
,Debian 10
Red Hat Enterprise Linux 8 - CORRECT ANSWER=> Red Hat
Enterprise Linux 8"
"What actions are performed when the ModelOutput.publish()
method is called in Foundry's Code Repositories? Select two:
It serializes the model using the ModelAdapter.save() method.
It initializes the model adapter with the fresh model.
It runs the model inference.
It creates a new model version. - CORRECT ANSWER=> It
serializes the model using the ModelAdapter.save() method.
It creates a new model version."
"Which of the following statements correctly describes the
behavior of the FileSystem.open() method in Foundry
Transforms?
it allows random access to any part of that file
it automatically infers the file schema upon opening
it returns a writable stream by default
it provides a read-only stream without support for seek or tell
methods - CORRECT ANSWER=> it provides a read-only stream
without support for seek or tell methods"
Page | 3
, "Which of the following are recommended practices for
chaining expressions in PySpark to enhance code readability?
Select two.
isolate each logical group of transformations into separate code
blocks.
chain as many expressions as possible for conciseness.
use backslashes (\) for line breaks in chains.
limit chains to a maximum of 5 statements.
extract complex logic into separate functions.
nest multiple chains within a single expression block. -
CORRECT ANSWER=> limit chains to a maximum of 5
statements.
extract complex logic into separate functions."
"You need to inject a TransformContext into your Transform's
compute function to access the current Spark session. How
should you define the parameters of your compute function?
def compute(context, input, output):
def compute(input, output):
def compute(input, output, ctx):
def compute(ctx, input, output): - CORRECT ANSWER=> def
compute(ctx, input, output):"
"You have a dataset in the Foundry filesystem that includes
JPEG and PDF files, and you want to upload only the PDF files
Page | 4
EXAM QUESTIONS AND VERIFIED ANSWERS |
ALREADY GRADED A+ | LATEST VERSION 2026/2027.
"Which of the following practices are essential when
implementing pipelines that back ontology objects and links in
Foundry? Select two.
Aligning pipeline logic with the ontology's entity and
relationship definitions.
Using only default transformation settings without
customization.
Avoiding documentation to keep the pipeline simple.
Manually verifying each pipeline run for consistency.
Ensuring that data transformations preserve the integrity of
semantic relationships.
Implementing error handling to manage discrepancies between
data sources and ontology requirements. - CORRECT
ANSWER=> Aligning pipeline logic with the ontology's entity
and relationship definitions.
Ensuring that data transformations preserve the integrity of
semantic relationships."
"You are assigned to maintain a critical data pipeline in Foundry
that has been experiencing intermittent failures. To ensure timely
Page | 1
,resolution and support, which of the following support structures
should you establish?
"A data scientist wants to leverage their existing Jupyter
notebooks within Palantir AIP for data analysis without
switching to a different interface. Which feature of Palantir AIP
should they utilize to achieve this?
REST Interfaces
Virtual Tables
Palantir HyperAuto Pipelines
Code Workspaces - CORRECT ANSWER=> Code Workspaces"
"What are the kinetic elements in the Palantir Ontology?
Objects, Properties, Links
Actions, Functions
Semantics, Interfaces
Object Types, Link Types - CORRECT ANSWER=> Actions,
Functions"
"Which Linux operating system version is specifically
recommended for hosting a Foundry agent?
Ubuntu 18.04
Fedora 34
Page | 2
,Debian 10
Red Hat Enterprise Linux 8 - CORRECT ANSWER=> Red Hat
Enterprise Linux 8"
"What actions are performed when the ModelOutput.publish()
method is called in Foundry's Code Repositories? Select two:
It serializes the model using the ModelAdapter.save() method.
It initializes the model adapter with the fresh model.
It runs the model inference.
It creates a new model version. - CORRECT ANSWER=> It
serializes the model using the ModelAdapter.save() method.
It creates a new model version."
"Which of the following statements correctly describes the
behavior of the FileSystem.open() method in Foundry
Transforms?
it allows random access to any part of that file
it automatically infers the file schema upon opening
it returns a writable stream by default
it provides a read-only stream without support for seek or tell
methods - CORRECT ANSWER=> it provides a read-only stream
without support for seek or tell methods"
Page | 3
, "Which of the following are recommended practices for
chaining expressions in PySpark to enhance code readability?
Select two.
isolate each logical group of transformations into separate code
blocks.
chain as many expressions as possible for conciseness.
use backslashes (\) for line breaks in chains.
limit chains to a maximum of 5 statements.
extract complex logic into separate functions.
nest multiple chains within a single expression block. -
CORRECT ANSWER=> limit chains to a maximum of 5
statements.
extract complex logic into separate functions."
"You need to inject a TransformContext into your Transform's
compute function to access the current Spark session. How
should you define the parameters of your compute function?
def compute(context, input, output):
def compute(input, output):
def compute(input, output, ctx):
def compute(ctx, input, output): - CORRECT ANSWER=> def
compute(ctx, input, output):"
"You have a dataset in the Foundry filesystem that includes
JPEG and PDF files, and you want to upload only the PDF files
Page | 4
