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dbt Labs dbt Analytics Engineering Certification Sample Questions:

1. You discover a downstream model, dim products, references an outdated raw dataset, raw_product_archive, intended for historical analysis and not active products. What's the most appropriate corrective action?

A) Update the dim_products model to reference the active product dataset.
B) Add a schema test to dim_products to catch potential errors.
C) Delete the raw_product_archive source, so it can't be used accidentally.
D) Leave it as-is since it's not actively causing any errors currently.

2. You maintain a large dbt project with various reporting models that source data from a set of core business tables. These core tables often include columns with sensitive information. What technique could ensure compliance and maintainability when restricting access to this data?

A) Apply row-level security within the data warehouse itself for fine-grained control.
B) Write complex WHERE clauses in each reporting model to exclude rows containing sensitive data.
C) Create incremental models that directly remove the sensitive columns before reporting models utilize them.
D) Use views to create different projections of the core tables, exposing only the necessary columns.

3. dbt Model Snippet:SQL

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

4. (Multiple Select)

A) Foreign key relationships are consistently enforced.
B) Tables intended to be empty as part of a process truly have zero records.
C) Columns intended to contain timestamps actually store valid timestamp values.

5. (Multiple Select)

A) Checking if values in a specific column fall within a valid range based on business logic.
B) Confirming that the total count of orders in a day matches a rollup value in a pre-calculated summary table.
C) Ensuring a primary key column has no null values.
D) Verifying that a paid_at timestamp column always occurs after a signup_at timestamp column.

Solutions: