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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:

dbt Labs dbt Analytics Engineering Certification Sample Questions:

1. (Multiple Select)

A) If macros themselves have dependencies on other macros, this adds an extra layer to consider.
B) Macros generally make dependency tracking easier by encapsulating logic.
C) Macros can completely obfuscate dependencies, making them untraceable.
D) If macros reference raw tables, those dependencies might not be reflected in dbt's lineage graphs.

2. You define a source table and include an override:YAML

A) The value 'my_project' is not a recognized keyword by dbt.
B) The overrides property is not valid for tables within your dbt_project.yml.
C) The overrides property needs to be defined at the source level, not the table level.
D) You need to create a macro named 'my_project' that contains the specific overriding logic.

3. (Multiple Select)

A) Minimize the number of intermediate models, even if it means complex SQL within a few large models.
B) Materialize all models as 'views' for maximum flexibility and to avoid potential storage bottlenecks.
C) Consider common reporting needs when designing downstream models.
D) Introduce CTEs within models to create logical groupings of transformations.

4. A critical model depends on a third-party data source with periodic update delays. How could you structure your DAG to mitigate the impact of these delays on downstream reporting?

A) Employ a snapshot of the third-party source to create a historical record.
B) Configure a 'view' that gracefully handles missing data from the third-party source.
C) Set up an alert to notify users when the upstream data source is not refreshed on time.
D) Utilize the 'defer' option to allow upstream models to run while awaiting the source update.

5. You're reviewing a pull request and notice a subtle logic error that wasn't caught in automated tests. How do you best approach this within the code review?

A) Simply fix the error directly in the pull request without leaving a comment.
B) Reject the pull request outright and ask the author to fix the error and resubmit.
C) Create a separate issue in the issue tracker, detail the bug, and reference it in the pull request.
D) Leave a comment explaining the error and provide a suggestion for how to fix it.

Solutions: