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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:

dbt Labs dbt Analytics Engineering Certification Sample Questions:

1. A model intermittently fails. Sometimes it runs without errors. Which category of issue should you suspect FIRST?

A) Race conditions due to models in your DAG running concurrently without proper synchronization.
B) dbt-specific configuration errors causing unpredictable behavior at the engine level.
C) Errors within complex macros used by the model, triggered only under specific data conditions.
D) Data quality issues in the source that are not consistently present.

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

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

4. You're getting inconsistent errors when adding new models in your dbt_project.yml. You suspect typos or indentation issues. How can you proactively improve this situation?

A) Set up a pre-commit hook that runs a YAML validation script before committing changes.
B) Write tests covering various aspects of dbt_project.yml to proactively catch errors.
C) Use a code editor or IDE with YAML-specific linting and auto-formatting support.
D) All of the above.

5. You want to use a YAML anchor to reuse a standard block of descriptive text within multiple models. How would you implement this?

A) Insert a YAML anchor (&) in your dbt_projectyml file and reference it in your model files.
B) YAML anchors are not directly supported in the context of dbt model and source descriptions-
C) Create a YAML anchor within the relevant model file where the text should be reused.
D) Define a Jinja macro for the text block, and then call the macro within your descriptions.

Solutions: