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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:

dbt Labs dbt Analytics Engineering Certification Sample Questions:

Question 1

dbt Model Snippet:SQL

A. Checking that the date_part() function is compatible with your database-
B. Validating that the column names generated by the Jinja loop would be valid SQL identifiers.
C. Ensuring the grains variable is defined in dbt_project.yml or a macro.
D. Making sure the source table fct_orders contains the expected columns.

Question 2

(Multiple Select)

A. Using an 's' at the end of tables.
B. Indenting freshness incorrectly under the customers table.
C. The error_after freshness check syntax.
D. Misspelling "orders" as "orderes".

Question 3

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. Utilize the 'defer' option to allow upstream models to run while awaiting the source update.
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. Employ a snapshot of the third-party source to create a historical record.

Question 4

You are using seeds in your dbt project for static data lookups. During a dbt seed run, you encounter an error indicating a duplicate primary key value. What are the likely consequences?

A. Seed data is considered non-essential, and the dbt seed command will complete with a warning.
B. Models directly referencing the problematic seed will fail during the next dbt run.
C. Existing seed data will remain, but records with the conflict will not be inserted.
D. The entire dbt seedoperation will roll back, leaving no seed data updated.

Question 5

Your team uses a custom macro to generate model descriptions dynamically. However, these descriptions don't appear in the DAG visualization within the documentation. Which of the following might cause this issue?

A. Dynamically generated descriptions are incompatible with DAG visualizations in dbt
B. The macro might not be returning the description in the standard format that dbt documentation expects.
C. The generated documentation site might be cached, preventing the updated descriptions from appearing.
D. Custom macros always require explicit configuration in your dbt_project.yml file to be rendered in the DAG-

Solutions: