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dbt Labs dbt Analytics Engineering Certification Exam Sample Questions (Q303-Q308):
NEW QUESTION # 303
Which two are true for a dbt retry command?
Choose 2 options.
- A. It reads a manifest.json file to identify the models and tests that failed in the last run.
- B. It picks up from the error without running all of the upstream dependencies.
- C. It reuses selectors from the previous command.
- D. It reruns all nodes in your previous invocation statement.
- E. It retries the previous command if it is not a syntax error in a model.
Answer: A,E
Explanation:
The correct answers are B and E.
The dbt retry command was introduced to help developers quickly re-run only what failed in the prior dbt invocation. According to dbt documentation, dbt retry examines metadata from the previous execution, including the run results and the manifest.json, to determine which nodes failed. This aligns with Option E, as dbt uses the manifest to identify the models, tests, and other nodes that errored or were not executed successfully.
Option B is also correct because dbt retry works only when the previous run failed due to execution errors (e.
g., a warehouse failure or a logic error in SQL). If the failure was due to a syntax error that prevented dbt from compiling, there will be no valid manifest produced, so retry cannot execute. Thus, dbt retry can only re- run models when the previous failure occurred after successful compilation.
Options A and C are incorrect because retry does not run all nodes nor does it automatically pick up exactly where an execution stopped - instead, it runs failed and downstream unbuilt nodes as determined by the manifest. Option D is also incorrect; retry uses the execution metadata, not selectors, to determine what should run.
NEW QUESTION # 304
You write a macro to dynamically create a filter string and apply it within a model as follows:SQL
- A. The macro templating incorrectly nests single and double quotes.
- B. You cannot dynamically apply filters using Jinja; they must be hardcoded in your model's SQL.
- C. The generate_filter macro should be placed within a separate macros directory, not inline in the model.
- D. The database doesn't support comparison of the data type of the region column with a string value.
Answer: A
Explanation:
Nesting quotes within Jinja can be tricky. Review the macro's output for unintended formatting. The others are unlikely to cause this specific error.
NEW QUESTION # 305
You have a dbt model that performs complex aggregations. During development, you notice some models take excessively long to run, but they ultimately complete without errors. Which of the following might be true?
- A. Downstream models will inherit the performance issues.
- B. This behavior automatically triggers an optimization feature within dbt.
- C. The models are at risk of failing if the source data grows substantially.
- D. These models likely have issues with joins or CTE structure impacting performance.
Answer: C,D
Explanation:
A and B are likely true. Models without errors can still signify potential scaling issues and inefficient logic. C is not necessarily true. Downstream models won't inherit performance issues unless they directly rely on the output of these slow models. D is false. dbt has optimization features, but they often require manual configuration, not automatic triggering.
NEW QUESTION # 306
You have complex dbt models involving incremental logic based on a timestamp column. To debug a production issue, you want to temporarily force a full rebuild of a specific incremental model. Which dbt command-line options could help?
- A. Add the -full-refresh flag to the dbt run command.
- B. Manually update the timestamp column in the incremental model's output table.
- C. Use dbt artifacts or the compilation context to access the current run's timestamp and override model logic.
- D. Write a macro within the model to switch behavior based on an environment variable.
Answer: A,C
Explanation:
A overrides the incremental setting project-wide. C allows the model to be 'tricked" into a full refresh. B is valid, but more work. D is risky and violates dbts workflow.
NEW QUESTION # 307
Which of the following are essential elements of a well-structured pull request description?
- A. Explanations of the reasoning behind major changes and implementation choices.
- B. A concise title summarizing the overall changes.
- C. References to related issues in the project tracker, if applicable.
- D. Detailed logs of each Git command used during development.
Answer: A,B,C
Explanation:
A: Clear titles aid quick understanding of the PRs purpose. C: Explanations help reviewers and future developers understand the thought process behind the code. D: Issue references create traceability and context.
NEW QUESTION # 308
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