dbt Labs Analytics Engineers dbt-Analytics-Engineering

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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:

dbt Labs dbt Analytics Engineering Certification Sample Questions:

1. While working on a feature branch, you need to incorporate some critical bug fixes that were merged into the main branch. Which Git commands, or combination of commands, would you use?

A) git checkout main followed by git pull
B) git merge main
C) Both B and C are viable options.
D) git rebase main

2. A CTE within a dbt model is incorrectly casting a string column to a numeric type.

A) A source table has inconsistent data, mixing true numeric values with strings.
B) A Jinja macro meant to filter out non-numeric strings has a logic flaw.
C) A snapshot is incorrectly merging new data with incompatible types into an existing table.

3. You receive a compilation error stating:Model depends on a node named 'ref data' which was not found

A) Search for a model named ref_data within your project or any included packages.
B) Review downstream models that might be referencing ref_data incorrectly.
C) Check the configuration of the ref_data data source.
D) Examine the SQL within the model where the error occurs for typos or incorrect ref() usage.

4. You're integrating a new API-based data source. Select the most suitable way to incorporate this into your dbt project.

A) Create a seed file to load the data directly into a table.
B) Write a dbt macro to encapsulate the API interaction logic.
C) Create a source with a loaded_at_field and write custom logic to snapshot API data.
D) Utilize a dbt package tailored for the specific API, if available.

5. You frequently need to debug model failures mid-DAG during development. Which of the following dbt features would be MOST helpful in this scenario?

A) dbt snapshots
B) The dbt run -fail-fast flag
C) The dbt test command
D) Macros for modularizing SQL code

Solutions: