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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:

dbt Labs dbt Analytics Engineering Certification Sample Questions:

1. You're integrating a new dbt package and find its models conflict with naming conventions in your existing project. Which approach generally provides the most flexible solution?

A) Manually edit the SQL within the conflicting package models.
B) Utilize the dbt_project.yml file to re-alias the models provided by the package.
C) Contact the package maintainers to request changes aligning with your conventions.
D) Override the package's macros and redefine them within your project.

2. After configuring a dbt package, you notice its models depend on a source table absent from your warehouse. How do you typically address this?

A) File an issue or submit a pull request to the package's repository.
B) Rewrite the package's model from scratch within your project to remove the dependency.
C) Override the package model's SQL query to reference an existing table in your warehouse.
D) Update your source definitions to include the required table.

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

4. (Multiple Select)

A) Minimize the number of intermediate models, even if it means complex SQL within a few large models.
B) Consider common reporting needs when designing downstream models.
C) Materialize all models as 'views' for maximum flexibility and to avoid potential storage bottlenecks.
D) Introduce CTEs within models to create logical groupings of transformations.

5. Your team decides to strictly enforce a linear history on the main branch. How does this decision impact your development and merge workflow?

A) Code reviews might need to focus on the overall change in the pull request instead of individual commits.
B) All of the above.
C) Feature branches would likely need to utilize git rebase before merging.
D) Pull requests would always show a single commit upon merging with the main branch.

Solutions: