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dbt Labs dbt Analytics Engineering Certification Exam Sample Questions (Q161-Q166):

NEW QUESTION # 161
A new dbt model is created directly in the development environment without a corresponding raw data source. Which of these can be potential ramifications of this approach?

A. There might be limited ability to reproduce or troubleshoot the model if the development data is modified or deleted.
B. You might lack a clear reference and lineage back to the original data source.
C. The model might be based on assumptions about data that dont hold true when applied in production.
D. All of the above-

Answer: D

Explanation:
A: Direct development modeling risks bypassing important raw data checks. B: Data lineage becomes unclear and could lead to misinterpretations. C: Without a reliable source, fixing issues or adapting the model becomes harder

NEW QUESTION # 162
You want to configure dbt to prevent tests from running if one or more of their parent models is unselected.
Which test command should you execute?
Choose 1 option.

A. dbt test --select "orders" --indirect-selection=cautious
B. dbt test --select "orders" --indirect-selection=buildable
C. dbt test --select "orders"
D. dbt test --select "orders" --indirect-selection=empty

Answer: D

NEW QUESTION # 163
dbt Model Snippet

A. The presence of filters on the source fct_orders or dim_customers.
B. The underlying data types of o.customer_id and c.customer_id mismatch.
C. The logic contained within a custom macro.
D. The ref() functions arent correctly resolving dependencies.

Answer: A

Explanation:
Filters on sources frequently cause missing rows in joins. Check your source definitions and any model- level filtering. While the others could be issues, start with the most common cause.

NEW QUESTION # 164
You get the following error when compiling a model:ln 'models/marts/sales_report.sql':

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

Answer: D

Explanation:
Incremental models must have a unique key You must address this in the model's logic itself. Changing the materialization or testing wont solve the root cause.

NEW QUESTION # 165
When integrating a new data source, you notice many existing models could benefit from it. What's the most maintainable way to incorporate the new data within a DRY approach?

A. Establish a naming convention for the new data elements to avoid hardcoding them within model SQL.
B. Add the new data source directly to each relevant model's SQL query.
C. Build a snapshot of the new data combined with relevant data from existing models.
D. Create a base model that incorporates the new data source and use the ref() function in downstream models.

Answer: D

Explanation:
A base model serves as a modular point of integration for the new data. The ref() function promotes DRY principles and eases maintenance if the new source structure changes.

NEW QUESTION # 166
......

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