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Palantir Data Engineering Certification Exam Questions Correct And Answers| Latest Update

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a comprehensive collection of practice questions and verified answers for the Palantir Data Engineering Certification Exam, covering Foundry Transforms, pipelines, Code Repositories, Ontology, data connections, security, and best practices. It is designed to support exam preparation for 2026 and reflects realistic, exam-style multiple-choice questions. The material is suitable for data engineers working with Palantir Foundry who want to test their knowledge, identify gaps, and prepare efficiently for the official certification.

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Palantir Data Engineering Certification
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Uploaded on
December 14, 2025
Number of pages
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Written in
2025/2026
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Palantir Data Engineering Certification
Exam Questions Correct And Answers|
Latest Update



19. You are responsible for syncing a specific range of data from a
Fusion spreadsheet to a dataset in Foundry to be used by Contour.
After selecting the desired table range and initiating the sync, what
must you ensure to avoid synchronization issues?


Ensure that the dataset has Viewer permissions.


Export the synced data as a CSV file immediately after syncing.


Only use table sync without any sheet sync in the Fusion sheet.


Use both sheet sync and table sync within the same Fusion sheet.


Only use table sync without any sheet sync in the Fusion sheet.

,24. When syncing a table range from a Fusion sheet to a dataset in
Foundry, which of the following conditions must be met to ensure
that future changes in the spreadsheet are reflected in the dataset?


The user must have at least Editor permissions on the dataset.


The dataset must be exported as a CSV file after each sync.


Both sheet sync and table sync must be enabled concurrently.


The user must have Viewer permissions on the dataset.


The user must have at least Editor permissions on the dataset.




25. When developing a transform for unstructured datasets in
Foundry, which of the following approaches is most effective for
parsing semi-structured data like JSON or XML files?


Converting the unstructured data into plain text before processing.


Storing the unstructured data as binary blobs without parsing.

,Leveraging custom Python or Java code within the transform to
handle parsing.


Using built-in SQL functions to parse the data directly.


Leveraging custom Python or Java code within the transform to
handle parsing.




26. Which role is required to configure network egress policies in
Foundry's managed SaaS platform?


Information Security Officer


User


Project Admin


Data Pipeline Developer


Information Security Officer




30. Which of the following components enhance security
interoperability within Palantir AIP?

, SAML integration for authentication


Using internal scripts for authorization


Role-based permissions


Proprietary authentication systems


Permissions managed through JSON files


Integration with Active Directory


SAML integration for authentication
Role-based permissions
Integration with Active Directory




31. 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.

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