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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:

dbt Labs dbt Analytics Engineering Certification Sample Questions:

1. A project stakeholder requests access to an intermediate stage of a dbt transformation pipeline to validate specific calculations.
You need to weigh this request carefully because:

A) Raw data, development data, and production data often have different levels of data quality, completeness, and timeliness.
B) Granting access to intermediate data may confuse stakeholders who are not familiar with the full transformation process-
C) Exposing intermediate results can lead to premature analysis based on incomplete data.
D) All of the above-

2. you're working with a dbt project where a central model fct_orders is refactored. Several downstream models rely on this fact table. Which of the following is the MOST efficient way to determine which downstream models might be affected by this change?

A) Run dbt test to see which tests might fail.
B) Utilize the dbt docs generate and dbt docs serve commands.
C) Execute dbt run and observe for errors.
D) Use the dbt Is command to generate a lineage graph.
E) Manually review the code of all downstream models.

3. While refactoring models, you accidentally drop a table in your development environment that mirrors production. Which inherent characteristic of development environments likely contributed to this issue?

A) Both A and C-
B) Development datasets might be incomplete or outdated compared to productiom
C) Developers working in development environments might expect the ability to make and revert changes with fewer consequences.
D) Development environments often have less stringent permissions to facilitate experimentation.

4. (Multiple Select)

A) Defining a custom source in sources.yml that selects tables from the desired subdirectory.
B) Configuring separate dbt projects for each subdirectory and running them independently.
C) Using dbt run -m to select models using a path pattern.
D) Setting up tags strategically and using the -s flag when executing dbt commands.

5. You want to trigger a dbt job immediately upon successful completion of an upstream ETL process. Which methods could achieve this?

A) Using dbt Cloud's webhooks to create an endpoint that your ETL process can call.
B) Using the dbt build command to run all dependent models after a successful dbt run.
C) Scheduling a dbt job with a very frequent interval (e.g., every 5 minutes) to poll for changes in a metadata table.
D) Configuring the ETL process to send a completion notification to your CIICD tool, triggering the dbt job.

Solutions: