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Databricks Certified Data Engineer Professional Exam - Topic 2 Question 53 Discussion

A data engineer is developing a Lakeflow Declarative Pipeline (LDP) using a Databricks notebook directly connected to their pipeline. After adding new table definitions and transformation logic in their notebook, they want to check for any syntax errors in the pipeline code without actually processing data or running the pipeline.How should the data engineer perform this syntax check?
A) Use the ''Validate'' option in the notebook to check for syntax errors.
B) Open the web terminal from the notebook and run a shell command to validate the pipeline code.
C) Disconnect the notebook from the pipeline and reconnect it to a compute cluster to access code validation features.
D) Switch to a workspace file instead of a notebook to access validation and diagnostics tools.

Databricks Certified Data Engineer Professional Exam - Topic 2 Question 53 Discussion

Actual exam question for Databricks's Databricks Certified Data Engineer Professional exam
Question #: 53
Topic #: 2
[All Databricks Certified Data Engineer Professional Questions]

A data engineer is developing a Lakeflow Declarative Pipeline (LDP) using a Databricks notebook directly connected to their pipeline. After adding new table definitions and transformation logic in their notebook, they want to check for any syntax errors in the pipeline code without actually processing data or running the pipeline.

How should the data engineer perform this syntax check?

Show Suggested Answer Hide Answer
Suggested Answer: A

Databricks provides a ''Validate'' option within the Lakeflow Declarative Pipeline development interface that checks pipeline configurations, transformations, and syntax errors before actual execution.

This feature parses and validates the pipeline logic defined in notebooks or workspace files to ensure correctness and consistency of table dependencies, DLT (Delta Live Table) syntax, and schema references.

The validation process does not process or move any data, making it ideal for testing new configurations before deployment.

Using the shell terminal (B) or workspace files (D) does not perform integrated pipeline-level validation, while reconnecting to compute clusters (C) is unrelated to syntax checks. Therefore, the verified and correct approach is A.


by Glenna at Jul 20, 2026, 06:48 AM

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Trina
4 days ago
D is a bit outdated, stick with the notebook!
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Ora
10 days ago
Wait, can you really validate without running it?
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Aliza
15 days ago
C seems like a hassle, just use A!
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Ellen
20 days ago
I disagree, B sounds more efficient.
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Amber
25 days ago
A) Validate option is the way to go!
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Ben
1 month ago
I don't think switching to a workspace file is necessary just for syntax checking, but it could be useful for diagnostics later on.
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Cory
1 month ago
I’m leaning towards option A, but I vaguely recall something about needing to connect to a cluster for full validation features.
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Latanya
1 month ago
I remember practicing a similar question, and I feel like using the web terminal might be overkill for just checking syntax.
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Gladis
2 months ago
I think the "Validate" option in the notebook is the right choice, but I'm not entirely sure if it covers all syntax errors.
upvoted 0 times
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