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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:

dbt Labs dbt Analytics Engineering Certification Sample Questions:

Question 1

The dataset raw user activity is critical to several models. You've been informed that a major schema change is scheduled for this source. Select the best way to proactively mitigate the potential impact of this change on your dbt project.

A. Create custom data tests that validate the critical columns in raw_user_activity.
B. Run dbt test after the schema changes and address any failures.
C. Pause all dbt jobs until the schema change risk is fully assessed.
D. Communicate with the relevant data team to create a temporary staging table mirroring the old schema.

Question 2

(Multiple Select)

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

Question 3

A sudden data quality issue occurs in production. You need to quickly reproduce the problem in a lower environment but retain a point-in-time snapshot of production dat a. Which strategies might you employ? Create a backup of the production database and restore it to a separate development or testing database.

A. Utilize data replication features (if supported by your data warehouse) to create a near real-time mirror of production data in a
B. A combination of the above, depending on time constraints and available resources.
C. staging area.
D. Use dbt snapshots to capture critical production tables during a defined timeframe for later use in troubleshooting.

Question 4

You have complex dbt models involving incremental logic based on a timestamp column. To debug a production issue, you want to temporarily force a full rebuild of a specific incremental model. Which dbt command-line options could help?

A. Manually update the timestamp column in the incremental model's output table.
B. Write a macro within the model to switch behavior based on an environment variable.
C. Use dbt artifacts or the compilation context to access the current run's timestamp and override model logic.
D. Add the -full-refresh flag to the dbt run command.

Question 5

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

Solutions: