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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:

dbt Labs dbt Analytics Engineering Certification Sample Questions:

1. (Multiple Select)

A) You made a typo when defining the column name in your model.
B) A ref function referencing another model is incorrect.
C) An upstream source table schema was updated without updating the dbt model.
D) Your dbt tests are invalid.

2. dbt Model Snippet:SQL

A) The source() function retrieving data from the incorrect schema.
B) The GROUP BY month clause leading to duplicate rows.
C) Incorrect Jinja usage within a macro used for templating.
D) The SUM(order_amount) aggregation logic.

3. You define several sources. However, some are frequently updated, while others rarely change. How can you optimize your dbt run command to account for this difference?

A) Set up dbt schedules within your dbt_project.yml with different intervals for each group.
B) Include the -exclude flag along with less-frequently updated source names.
C) Group sources based on update frequency and create separate dbt run commands for each group.
D) Employ the defer option if downstream models permit and ensure freshness checks are adjusted.

4. A colleague has introduced a new sensitive column into a source table. You need to update the dbt project documentation accordingly. Which of the following actions should you take?

A) Consult your organization's data governance policies and consider additional measures beyond simple documentation.
B) Update the source documentation and add references to that documentation in the appropriate model's YAML file
C) Add a clear description of the sensitive column in its corresponding YAML file.
D) Add the column description and tag it using a custom sensitive tag in the YAML file.

5. (Multiple Select)

A) Introduce a source snapshot to create a point-in-time copy of the data.
B) Increase the query_comment timeout setting in your dbt_project. yml
C) Apply an incremental materialization strategy to subsequent models if appropriate.
D) Use CTEs or views in the source definition to pre-filter columns or apply initial transformations.

Solutions: