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dbt Labs dbt Analytics Engineering Certification - dbt-Analytics-Engineering Exam Questions

QUESTION NO: 1
You discover that an essential dbt macro behaves differently between your development environment and production due to a subtle database version discrepancy. Which debugging approach would be most efficient?

A. Use database-specific functions to query the version information directly from within dbt models. B. Temporarily introduce a conditional branch into the macro code that is environment-aware. C. Set up a CIICD test that runs the macro in isolation using both database versions. D. Add verbose logging within the macro to track execution differences step by step.

Correct Answer: A,C,D

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QUESTION NO: 2
You've been tasked with improving the discoverability of dbt models within your project. Which of the following changes would be the MOST effective in achieving this goal?

A. Using custom macros to dynamically generate model descriptions based on metadata. B. Ensuring models have clear and concise descriptions that accurately reflect their purpose. C. Adding a tags list to all models, even if the tags are somewhat generic. D. Writing longer, more verbose descriptions for each column in your models.

Correct Answer: B

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QUESTION NO: 3
"Our dbt jobs take hours to run, and it's hard to know why!" says a frustrated colleague. What initial investigation steps would you suggest?

A. Review any 'on-run-start' or 'on-run-end' hooks that might add unexpected overhead. B. Check your dbt_project.yml configuration for any project-wide performance settings to optimize. C. Look into dbt's profiling capabilities to pinpoint the slowest models and queries. D. All of the above.

Correct Answer: A

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QUESTION NO: 4
You have a time-series fact table, and you're building incremental dbt models for efficiency. Model A loads an initial snapshot; subsequent models process new records only. During a dbt run, a model that processes new data fails. Select the possible consequences:

A. All incremental models will need to be manually rerun after fixing the failed model. B. dbt will revert the fact table to a state before the project was ever run. C. The initial snapshot will remain intact, but no new data will be updated. D. The initial snapshot and all successfully processed incremental models will be unaffected.

Correct Answer: C,D

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QUESTION NO: 5
Regular test runs reveal inconsistent and intermittent test failures, despite no obvious changes to models or source dat a. What debugging strategies might you use?

A. Consider if external dependencies used within dbt tests are themselves unstable. B. Use dbfs logging feature to add detailed output to the test execution. C. Examine data warehouse performance metrics for resource constraints during test runs. D. Temporarily switch to a more consistent testing environment.

Correct Answer: A,B,C

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QUESTION NO: 6
You have a dbt project with models defined as views. After deploying to a production database, the view objects are present, but no data is displayed when querying them. What might be the root cause?

A. There's a bug in dbt's SQL generation that specifically affects views in certain environments. B. Dbt view materializations behave differently in production. C. Your dbt job didn't run successfully, so the views were created empty. D. Permissions granted in production don't allow reading data from the underlying tables.

Correct Answer: D

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QUESTION NO: 7
Select the dbt materialization that typically DOES NOT persist its results to disk:

A. Snapshot B. Incremental C. Ephemeral D. Table

Correct Answer: C

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QUESTION NO: 8
A package you depend on has released a major update with breaking changes. How might you approach the migration?

A. Update your packages.yml to point to the new version and immediately refactor all your dependent models. B. Pin the package to the older version in your packages.yml file and plan a controlled migration. C. Fork the package and maintain your own custom version indefinitely. D. Review the release notes and the migration guide provided by the package maintainers.

Correct Answer: D

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QUESTION NO: 9
The dataset you work with contains personally identifiable information (PII). Which types of additional tooling might be necessary for your project beyond a core dbt implementation?

A. Advanced statistical modeling tools. B. Automated ETL pipelines C. Enhanced data access governance and auditing tools. D. Data masking or tokenization solutions.

Correct Answer: C,D

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QUESTION NO: 10
You encounter the following source configuration in a dbt_project.yml file. What kind of data source does this represent?

A. A CSV file loaded as a seed. B. An external data source connected via a dbt adapter. C. A raw table from your data warehouse. D. An output from another dbt model.

Correct Answer: C

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QUESTION NO: 11
You notice that your dbt jobs take longer than expected. You suspect potential issues with models referencing large raw tables unnecessarily. Which of the following strategies might help optimize performance? (Choose two)

A. Move the raw table into a separate staging schema and grant access only to necessary models. B. Introduce CTEs within your models to pre-filter raw data where possible. C. Add more indexes to all the raw tables in your warehouse. D. Convert your most-used models to incremental materializations.

Correct Answer: B,D

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QUESTION NO: 12
You've added detailed descriptions to your sources.yml file. Which of the following scenarios would still necessitate adding descriptions directly within your model files?

A. If different models utilize the same source table for different purposes. B. If you want to provide additional context or logic specific to how a source is used within that model. C. If the source table undergoes a schema change, and you want to document these changes historically within the model. D. You always need both source and model-level descriptions for complete documentation.

Correct Answer: A,B,C

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QUESTION NO: 13
During a code review, a collaborator suggests modifying a small portion of code you had already committed to your feature branch. What's the most efficient way to address this without creating a completely new commit?

A. Use git revert to undo your previous commit, make the change, and then re-commit. B. Use git commit -amend to modify your most recent commit. C. Explain to your collaborator that modifying committed code is not recommended, and the change should wait for a future update. D. Create a new branch extending from your feature branch, make the change, and open a separate pull request.

Correct Answer: B

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