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dbt Labs dbt Analytics Engineering Certification Exam Sample Questions (Q19-Q24):

NEW QUESTION # 19
A critical model fails with a non-descriptive error. You suspect a third-party package used in the model. How might you narrow down the problem?

A. Examine recent commits or releases of the package for changes that might have introduced a bug.
B. Run the package's models in isolation to see if the error reproduces.
C. Add -log-format json to your dbt run command to get more structured error output.
D. Temporarily disable the package and try running the model.

Answer: A

Explanation:
Start by understanding if the problem lies within the package itself. Disabling or isolating package models can help. Structured logging is useful for analysis.

NEW QUESTION # 20
You're building tests for a dbt model that performs a join across multiple large datasets. You notice performance issues - tests are taking a very long time to run. What might be optimization strategies?

A. Refactor model SQL to use incremental logic to avoid full table scans.
B. Accept that tests on complex models will always be slow.
C. Create snapshots of the source tables and test on those snapshots instead.
D. Focus on tests that can validate a subset of the data rather than the entire dataset.

Answer: A,D

Explanation:
B and C target reducing the test's workload with sampling or optimizing the model itself. A might help under specific circumstances, but not always. D is a defeatist approach!

NEW QUESTION # 21
You want to run and test the models, tests, and snapshots you have added or modified in development.
Which will you invoke? Choose 1 option.
Options:

A. dbt build --select state:modified --defer --state <path/to/artifacts>
B. dbt build --select state:modified --defer <path/to/artifacts>
C. dbt run --select state:modified --state <path/to/artifacts>
dbt test --select state:modified --state <path/to/artifacts>
D. dbt build --select state:modified --state <path/to/artifacts>
E. dbt run --select state:modified --defer --state <path/to/artifacts>
dbt test --select state:modified --defer --state <path/to/artifacts>

Answer: A

Explanation:
The goal in this scenario is:
* Select only models, tests, and snapshots that were modified in development, using:state:modified
* Use already-built production objects whenever possible, so development does not need to rebuild everything. This is done with:--defer
* Compare development code against production artifacts, which requires:--state <path/to/artifacts>
* Run everything (models + tests + snapshots) in a single command. This is exactly what dbt build does.
* dbt build = run models + run tests + run snapshots + run seeds.
Putting it all together, the correct command is:
dbt build --select state:modified --defer --state <path/to/artifacts>
This single command satisfies all requirements:
* It runs only modified resources.
* It uses the production state artifacts for comparison.
* It defers to production-built models where possible.
* It runs all resource types automatically.
Why the other options are incorrect:
* A # Missing --state, so state:modified cannot function.
* B # Splits run + test separately; question asks which single command you will invoke.
* D # Missing --defer, which defeats the purpose of using production objects.
* E # Also missing --defer.
Thus, Option C is the only correct answer.

NEW QUESTION # 22
You introduce a minor formatting change to a large SQL model. Afterwards, the results change unexpectedly. Which dbt-related issue might explain this, even if the SQL itself appears correct?

A. A subtle indentation change in a CTE accidentally modifies the execution order within the query.
B. An upstream data issue only surfaces due to the formatting change making that part of the query execute differently.
C. There's a version mismatch between the dbt library used during development and in production.
D. You've used a reserved keyword as a column alias without properly quoting it.

Answer: A

Explanation:
Whitespace matters in SQL, and CTE order is often significant even if the query might still be validly formatted.

NEW QUESTION # 23
During development, you frequently used temporary print statements for debugging. Which of the following is the best practice before opening a pull request?

A. Leave the print statements for future reference, in case similar debugging is needed-
B. Remove the print statements entirely from your commits-
C. Consolidate the print statements into a separate debugging function that can be toggled on and off
D. Comment out the print statements but leave them in the code.

Answer: B

Explanation:
Debugging code should generally not be part of committed changes, as it clutters the codebase and offers no value to the core functionality.

NEW QUESTION # 24
......

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dbt Labs dbt Analytics Engineering Certification Exam Sample Questions (Q19-Q24):

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