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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:

dbt Labs dbt Analytics Engineering Certification Sample Questions:

1. (Multiple Select)

A) Adding test records to validate a new custom data test.
B) Populating a staging environment with representative data for testing.
C) Inserting rows for a generic date dimension table.
D) Loading data to fact tables as part of the regular ETL process.

2. Your company wants to standardize pull request templates. Which information would be beneficial to include in such a template?

A) Specific instructions for the reviewer, if certain aspects need special attention.
B) All of the above.
C) A section to link to relevant design documents or specifications.
D) Checkboxes for confirming that tests have been run and documentation has been updated if necessary.

3. dbt Model Snippet

A) The presence of filters on the source fct_orders or dim_customers.
B) The underlying data types of o.customer_id and c.customer_id mismatch.
C) The logic contained within a custom macro.
D) The ref() functions arent correctly resolving dependencies.

4. Select the dbt materialization that typically DOES NOT persist its results to disk:

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

5. You're collaborating with a third-party analytics vendor who requires access to a subset of processed data within your dbt project for integration into their platform. How might you approach this securely?

A) Utilize a dbt package to export specific models to CSV or JSON format and provide those files to the vendor
B) Generate a dedicated readout schema in your data warehouse with appropriate grants for the vendor's user
C) A combination of the above might be needed, depending on the vendor's integration capabilities-
D) Set up a data sharing mechanism through your data warehouse, if it supports this functionality, enabling controlled access.

Solutions: