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PLANTIR DATA ENGINEERING CERTIFICATION EXAM LATEST 2025/2026
ACTUAL EXAM WITH COMPLETE QUESTIONS AND CORRECT DETAILED
ANSWERS (100% VERIFIED ANSWERS) |ALREADY GRADED A+| ||PROFESSOR
VERIFIED|| ||BRANDNEW!!!||
1. When defining Transform logic level versioning (TLLV), which
of the following factors are included in the default version string?
Select three.
The names of all input datasets
All modules the Transform depends on
The module where the Transform is defined
Any project dependencies
The runtime environment configuration
All functions within the Transform - ANSWER-All modules the
Transform depends on
The module where the Transform is defined
Any project dependencies
2. When would you choose to use the 'Merge with fast-forward'
mode in Foundry's Code Repositories?
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When you need to create a new commit that combines all
changes from the pull request.
When the target branch has diverged significantly from the source
branch.
When you want to maintain a detailed commit history with merge
commits.
When there are no additional changes on the target branch and
you want a linear commit history. - ANSWER-When there are no
additional changes on the target branch and you want a linear
commit history.
3. You want to leverage distributed processing in Foundry
Transforms to handle files of varying sizes efficiently. Which Spark
configuration properties should you adjust to control the
partitioning of the FileStatus DataFrame? Select two.
spark.executor.cores
spark.executor.memory
spark.sql.files.openCostInBytes
spark.driver.memory
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spark.sql.files.maxPartitionBytes - ANSWER-
spark.sql.files.openCostInBytes
spark.sql.files.maxPartitionBytes
4. In a Foundry Pipeline, you need to generate multiple output
datasets from a single input dataset by filtering based on different
criteria. Which feature of the Transforms API allows you to
accomplish this efficiently?
Multiple-output Transforms
Transform logic level versioning (TLLV)
Transform generation using for-loops
TransformContext injection - ANSWER-Multiple-output
Transforms
5. Which of the following are recommended practices when
performing join operations in PySpark according to the style
guide? Select two.
Use dataframe aliases to manage column references
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Specify the join type explicitly, even if it's the default
Prefer left joins and avoid right joins
Always use right joins instead of left joins
Use .dropDuplicates() to handle join explosions
Duplicate column names to avoid ambiguity - ANSWER-Specify
the join type explicitly, even if it's the default
Prefer left joins and avoid right joins
6. Which of the following health checks are recommended to
install on input datasets of a Foundry data pipeline? Select three.
Build Status Check
Schema Check
Data Freshness
Build Duration Check
Sync Status Check
Time Since Last Updated (TSLU) - ANSWER-Build Status Check
Schema Check
Time Since Last Updated (TSLU)
PLANTIR DATA ENGINEERING CERTIFICATION EXAM LATEST 2025/2026
ACTUAL EXAM WITH COMPLETE QUESTIONS AND CORRECT DETAILED
ANSWERS (100% VERIFIED ANSWERS) |ALREADY GRADED A+| ||PROFESSOR
VERIFIED|| ||BRANDNEW!!!||
1. When defining Transform logic level versioning (TLLV), which
of the following factors are included in the default version string?
Select three.
The names of all input datasets
All modules the Transform depends on
The module where the Transform is defined
Any project dependencies
The runtime environment configuration
All functions within the Transform - ANSWER-All modules the
Transform depends on
The module where the Transform is defined
Any project dependencies
2. When would you choose to use the 'Merge with fast-forward'
mode in Foundry's Code Repositories?
,2|Page
When you need to create a new commit that combines all
changes from the pull request.
When the target branch has diverged significantly from the source
branch.
When you want to maintain a detailed commit history with merge
commits.
When there are no additional changes on the target branch and
you want a linear commit history. - ANSWER-When there are no
additional changes on the target branch and you want a linear
commit history.
3. You want to leverage distributed processing in Foundry
Transforms to handle files of varying sizes efficiently. Which Spark
configuration properties should you adjust to control the
partitioning of the FileStatus DataFrame? Select two.
spark.executor.cores
spark.executor.memory
spark.sql.files.openCostInBytes
spark.driver.memory
,3|Page
spark.sql.files.maxPartitionBytes - ANSWER-
spark.sql.files.openCostInBytes
spark.sql.files.maxPartitionBytes
4. In a Foundry Pipeline, you need to generate multiple output
datasets from a single input dataset by filtering based on different
criteria. Which feature of the Transforms API allows you to
accomplish this efficiently?
Multiple-output Transforms
Transform logic level versioning (TLLV)
Transform generation using for-loops
TransformContext injection - ANSWER-Multiple-output
Transforms
5. Which of the following are recommended practices when
performing join operations in PySpark according to the style
guide? Select two.
Use dataframe aliases to manage column references
, 4|Page
Specify the join type explicitly, even if it's the default
Prefer left joins and avoid right joins
Always use right joins instead of left joins
Use .dropDuplicates() to handle join explosions
Duplicate column names to avoid ambiguity - ANSWER-Specify
the join type explicitly, even if it's the default
Prefer left joins and avoid right joins
6. Which of the following health checks are recommended to
install on input datasets of a Foundry data pipeline? Select three.
Build Status Check
Schema Check
Data Freshness
Build Duration Check
Sync Status Check
Time Since Last Updated (TSLU) - ANSWER-Build Status Check
Schema Check
Time Since Last Updated (TSLU)
