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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:

dbt Labs dbt Analytics Engineering Certification Sample Questions:

1. You encounter a runtime error: "Column 'order_date' not found in the target relation". You examine your model and see:SQL

A) Review the fct_orders model's SQL logic to see if it unintentionally removes or renames the 'order_date' column.
B) Verify that your Jinja templating in other models isn't interfering with column names.
C) Check if the fct_orders model or source actually includes an 'order_date' column.
D) Ensure there are no downstream models that could be altering the 'fct_orders' table.

2. After running dbt docs generate, you notice that your project documentation looks incomplete, and certain details seem to be missing. Which of the following actions could help you troubleshoot the issue?

A) Ensure all relevant model directories are present under the top-level 'models' directory of your dbt project
B) Verify that all your models, sources, seeds, and tests have descriptions where appropriate.
C) Run the dbt clean command to clear out any outdated artifacts.
D) Check if you've unintentionally used the -select flag to limit model inclusion during a previous dbt run.

3. You discover a model sorting large amounts of data using an ORDER BY clause with several columns. Performance needs to be increased. What's the FIRST step in your optimization process?

A) Examine query execution plans to identify bottlenecks and potential index usage.
B) Add a LIMIT clause to restrict the number of records sorted.
C) Remove unnecessary columns from the ORDER BY clause.
D) Change the materialization from a 'table' to a 'view'.

4. You need a way to document relationships between raw source tables, dbt models, and downstream Bl dashboards. What type of tool would be best suited for this task?

A) A version control system
B) A data catalog
C) A data profiling tool
D) dbt's built-in documentation (dbt docs)

5. You've defined a unique test on a key column within a model. When running dbt test, you encounter a surprising failure. Which of the following might be the cause?

A) Upstream data was updated unexpectedly, leading to previously non-existent duplicates.
B) The unique test is too strict and doesn't align with the business definition of uniqueness.
C) There are truly duplicate values in the column.
D) An incorrect join in your model is inadvertently creating duplicate rows.

Solutions: