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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:

dbt Labs dbt Analytics Engineering Certification Sample Questions:

1. A large dimension table is joined frequently in your dbt models. Due to its size, these joins significantly impact performance. Which strategy might offer improvement?

A) Rewrite the join logic by nesting conditions within a CTE.
B) Investigate database-specific techniques like hash joins or distribution keys for optimizing the join.
C) If the dimension data rarely changes, convert it to an incremental model.
D) Add a WHERE clause to the model to filter out unnecessary rows during the join.

2. dbt Model Snippet:SQL

A) The stg_orders model uses a schema config in its own model SQL
B) Your dbt_projectyml file has a model-level schema override.
C) Your sources.yml file is not configured correctly-
D) There's a custom macro in use that dynamically changes schemas.

3. You're setting up a CI/CD pipeline for dbt deployments. Which actions can help maintain data integrity and consistency between your development, staging, and production environments?

A) Enforce a branching strategy that mirrors environment progression (e.g., dev branch deploys to dev, etc. )
B) Implement automated tests that validate data quality and model assumptions across all environments.
C) All of the above.
D) Utilize dbt logs and artifacts to track any changes made outside the standard deployment pipeline in each environment.

4. (Multiple Select)

A) Avoid refactoring dbt models that are directly queried by external tools.
B) Establish a naming convention in dbt that external tools can rely upon.
C) Instruct dbt to rename columns rather than dropping and recreating them during updates.
D) Create views on top of dbt model tables, providing a stable abstraction layer for the Bl tools.

5. (Multiple Select)

A) Scheduling models to run outside normal business hours to reduce resource contention.
B) Using credentials with appropriate permissions (likely read-only) to access production data sources.
C) Potentially running on a different data warehouse or with different database settings.
D) Implementing more rigorous access controls and auditing procedures.

Solutions: