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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:

dbt Labs dbt Analytics Engineering Certification Sample Questions:

1. Unexpected Results

A) Use diff tools or version control history to compare the refactored logic against the previous version.
B) Revert the changes in your version control system to restore the model to its previous working state.
C) Implement targeted profiling to measure the execution time of specific query sections within the model.

2. You want to host your dbt project documentation on an internal company server that's behind a firewall. Which approach would be best suited for this scenario?

A) Directly modify the HTML and CSS of the generated documentation site to add firewall-specific rules.
B) Utilize the dbt docs serve command, making the local web server accessible within your private network.
C) Upload the static files generated by dbt docs generate to your internal web server.
D) Deploy the docs using dbt Cloud's built-in hosting features.

3. You debug a production issue by running a model in a testing environment with additional logging output. Which dbt features or command-line additions would facilitate this?

A) Custom dbt flags (using -vars) to control the logging level of the SQL execution.
B) dbt hooks to redirect model-related logs to a centralized logging platform.
C) Environment variables to conditionally enable verbose logging macros inside the model.
D) The -warn-error flag to treat warnings as errors, making your run fail louder on potential issues.

4. (Multiple Select)

A) Manually examine the compiled SQL files.
B) dbt test
C) Inspect the manifest.json file.
D) Write a custom Python script to parse dbt models.
E) Jinja templating
F) Snapshots
G) Use the dbt debug command.
H) ref() and source() functions
I) dbt docs

5. (Multiple Select)

A) Refer to the dbt documentation for a comprehensive list of valid properties within schema files.
B) If available, compare your schema.yml to a previous working version to spot problematic changes.
C) Introduce a global persist_docs setting within your dbt_project.yml file to resolve schema inconsistencies.
D) Utilize a YAML validator tool independently of dbt to check for general formatting errors.

Solutions: