dbt Labs dbt Analytics Engineering Certification : dbt-Analytics-Engineering

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dbt Labs dbt Analytics Engineering Certification Sample Questions:

1. You create tests to validate counts and timestamps against a baseline dataset. The tests fail unexpectedly. What might be possible root causes?

A) Your upstream ETL process has a logic error, leading to incorrect data.
B) The baseline dataset itself has become corrupted
C) Your tests are too strict and need more generous tolerances.
D) There are differences in data types or time zone handling between the model and baseline.

2. You typically use dbt run to execute your project. However, you want to trigger a refresh of only models that depend on newly updated source dat a. How could you achieve this?

A) Leverage dbt snapshots to identify changed sources and derive the dependent model list.
B) Configure your sources with the freshness property and run dbt source freshness.
C) Manually determine dependent models, then use dbt run -m
D) Add dbt run to the post-hook of your upstream ETL process, so it triggers upon data arrival.

3. You've configured your project to include both schema and data tests in the generated documentation. A user reports the tests are visible but don't show any execution results (pass/fail status). Why might this be happening?

A) The documentation generator has a known limitation on how test results are displayed.
B) The project settings are explicitly configured to hide test results in the documentation.
C) Your data pipeline hasn't been executed recently, so there are no recent test results.
D) The type of test you're using is not supported for displaying results in the documentation.

4. (Multiple Select)

A) Leverage your data warehouse's built-in auditing or change tracking features, if available.
B) Configure dbt to log all executed SQL statements with sufficient metadata for auditing.
C) Integrate a specialized data lineage tool that tracks dependencies down to the database level..
D) Enable version control on your dbt_project.yml file and related configuration.

5. You get the following error when compiling a model:ln 'models/marts/sales_report.sql':

A) Delete the existing model and create a new one with the materialization set to table.
B) Examine your model's SQL and ensure you've defined a column or combination of columns to serve as a unique identifier.
C) Introduce a unit test to assert that the model's output has no duplicate rows.
D) Add a config.get("unique_key") entry within your model configuration in dbt_project.yml.

Solutions: