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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:

dbt Labs dbt Analytics Engineering Certification Sample Questions:

1. (Multiple Select)

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

2. You've built a macro to implement a common custom test pattern. When using this macro in multiple models, you realize the tests are running much slower than expected. What might be the cause?

A) Too many tests are being defined on individual models.
B) The macro is accidentally triggering downstream model rebuilds.
C) The macro's SQL logic is inefficiently querying the model or other data.
D) This is expected behavior, and custom tests always incur a performance penalty.

3. (Multiple Select)

A) Knowledge sharing platforms or internal wikis for documenting best practices.
B) Centralized dbt packages for reusable code
C) Data discovery platforms to catalog available data assets
D) Automated code linters

4. You have a computationally expensive dbt model that creates a wide table with many columns. You realize that downstream analysis typically only needs a small subset of these columns. How might you optimize this for both

A) Configure a dbt job to run as a lower priority task, accepting slower processing.
B) Refactor the model to use a view materialization, selecting only necessary columns.
C) Increase memory and CPU resources allocated to the data warehouse to power through the large build-
D) Implement a post-hook that immediately deletes unused columns from the model's output table.

5. A new stakeholder needs to receive an email report generated from the results of a specific dbt model. Unfortunately, your Bl tool doesn't directly integrate with dbt. How could you address this?

A) Modify the model to output a CSV file and schedule a task to email the file as an attachment
B) Write a post-hook that queries the model, formats the results, and sends the email.
C) Within the model's SQLi write logic to insert the output data into a dedicated reporting table-
D) Develop a separate script, triggered after the dbt job, to handle report generation and emailing-

Solutions: