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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:

dbt Labs dbt Analytics Engineering Certification Sample Questions:

1. (Multiple Select)

A) The column ordering within the table is changed.
B) A column is renamed
C) A small percentage of records have null values introduced in a field.
D) Additional records are appended with new data.

2. A critical model depends on a third-party data source with periodic update delays. How could you structure your DAG to mitigate the impact of these delays on downstream reporting?

A) Configure a 'view' that gracefully handles missing data from the third-party source.
B) Employ a snapshot of the third-party source to create a historical record.
C) Utilize the 'defer' option to allow upstream models to run while awaiting the source update.
D) Set up an alert to notify users when the upstream data source is not refreshed on time.

3. A user reports a critical security issue discovered in a third-party dbt package you use. Where could you most likely find updated information about potential vulnerabilities or fixes?

A) Directly from the maintainer of the dbt package, often in a GitHub repository or similar
B) The packages.yml file in your dbt project.
C) Within dbt Cloud's central package documentation and release notes.
D) The locally generated dbt documentation for the installed packages.

4. You have an urgent hotfix that needs to be deployed while a larger feature branch is still under review. Which strategies could you consider?

A) Merge the hotfix into the main branch and then rebase the feature branch on top of the new main branch.
B) Temporarily revert the feature branch changes, deploy the hotfix, and then restore the feature branch.
C) Create a dedicated branch from the main branch specifically for the hotfix.
D) Merge the hotfix into the feature branch and wait for the entire feature to be approved.

5. A colleague expresses confusion about how dbt uses the dbt_project.yml file. Which of the following is the MOST accurate high-level explanation?

A) The dbt_projectyml file acts as a blueprint for how dbt should generate your data models, tests, and documentation.
B) The dbt_project.yml file is primarily used for version control and collaboration in dbt projects
C) The dbt_project. yml file serves as a temporary cache for in-development models.
D) The dbt_project yml file contains the actual SQL code that defines your data transformations.

Solutions: