dbt Labs dbt Analytics Engineering Certification : dbt-Analytics-Engineering

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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:

dbt Labs dbt Analytics Engineering Certification Sample Questions:

1. (Multiple Select)

A) Run dbt Is to confirm that all dependencies for the macro and the model are resolved correctly.
B) Implement unit tests specifically for the macro to validate its output under different inputs
C) Check the generated column names in the compiled SQL to ensure they match existing columns in the data.
D) Add {{ log(macros, info=true) statements within the macro to track how it executes-

2. You're collaborating with others on a dbt project. A new feature branch introduces unexpected errors. Which command combination helps analyze potential issues before merging into the main branch?

A) dbt seed to populate any new source tables.
B) dbt deps followed by dbt compile
C) dbt docs generate on the new feature branch.
D) dbt run followed by dbt test on both the feature branch and the main branch.

3. You're refactoring a complex dbt model and realize breaking it down into smaller models would improve readability. However, you're concerned about performance overhead due to the additional materializations. How would you address this concern?

A) Rely on source freshness checks to determine if intermediate models need to be rebuilt_
B) Switch to incremental materializations for all intermediate models.
C) Profile your models to pinpoint bottlenecks and optimize those specifically.
D) Utilize ephemeral materializations for intermediate steps, where appropriate_

4. You want to write a custom test to check for potential anomalies in a time-series dataset. Which of the following would be the MOST important considerations when designing this test?

A) Identifying the metrics (e.g., average, standard deviation) relevant to your data.
B) Ensuring the test integrates seamlessly with dbt's docs feature.
C) Understanding the expected seasonality or patterns in the data.
D) Defining thresholds for what constitutes an anomaly in your business context.

5. You identify the need to refactor several models with similar transformations. Which of the following is the first step to increase modularity and promote the DRY philosophy?

A) Create CTEs to segment logical steps within the existing model SQL.
B) Use a text editor's "find and replace" function to update repetitive code blocks.
C) Analyze commonalities and differences in the transformations to determine refactoring potential.
D) Test individual models thoroughly to establish a baseline before making changes.

Solutions: