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dbt Labs dbt Analytics Engineering Certification Exam Sample Questions (Q93-Q98):
NEW QUESTION # 93
You discover a flaw in a data cleaning process applied early in your raw data transformation. What implications does this have for the rest of your dbt pipeline and the distinction between production vs. development?
- A. There's a risk that incorrect data exists in both development and production, leading to unreliable modeling.
- B. You might need to re-run models downstream of the fix across both development and production to ensure data integrity.
- C. It highlights the importance of testing and validation at each transformation stage, not just in the final reporting layer.
- D. All of the above.
Answer: D
Explanation:
A: Errors in early stages propagate downstream, affecting both environments. B: Fixing the flaw requires reprocessing potentially significant amounts of data. C: Thorough testing at each step is crucial for preventing data quality Issues.
NEW QUESTION # 94
(Multiple Select)
- A. Leveraging window functions to calculate values across rows or groups.
- B. Writing custom macros to encapsulate frequently used SQL logic.
- C. Using SELECT * to include all columns dynamically
- D. Nesting multiple correlated subqueries within a single query_
Answer: C,D
Explanation:
SELECT * can lead to performance issues and unexpected results. Correlated subqueries often have better-performing joins equivalents. Macros and window functions are good practices.
NEW QUESTION # 95
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"
- C. dbt test --select "orders" --indirect-selection=buildable
- D. dbt test --select "orders" --indirect-selection=empty
Answer: D
Explanation:
The correct answer is A: dbt test --select "orders" --indirect-selection=empty".
In dbt, the --indirect-selection flag controls how dbt handles indirectly related resources during selection, such as tests whose parent models may or may not be selected. By default, dbt may include related resources depending on the selection behavior.
indirect-selection=empty is the strictest form of selection. It means that dbt will not run tests whose parent models are not explicitly selected, even if the tests are indirectly related. This prevents executing tests on models that you did not intend to build or include in your workflow, ensuring test execution is tightly scoped.
Other options behave differently:
* Option B (no indirect-selection flag) uses dbt's default behavior, which does include related tests, meaning tests could run even when their parent models were not selected.
* Option C: buildable includes resources that can be built (e.g., when downstream dependencies require them).
* Option D: cautious runs tests if their parents are selected transitively through dependencies.
Therefore, to prevent tests from running when parent models are unselected, you must use --indirect- selection=empty, making A the correct choice.
NEW QUESTION # 96
(Multiple Select)
- A. The number of users currently active on the data warehouse.
- B. The desired frequency for updating the data
- C. The level of detail needed in downstream reporting.
- D. Existing model patterns within the project for consistency.
Answer: B,C
Explanation:
Reporting needs and data freshness requirements directly shape model design. Consistency (D) is important, but secondary to functional requirements- The number of active users is more relevant to database sizing
NEW QUESTION # 97
You encounter a runtime error: "Column 'order_date' not found in the target relation". You examine your model and see:SQL
- A. Review the fct_orders model's SQL logic to see if it unintentionally removes or renames the 'order_date' column.
- B. Verify that your Jinja templating in other models isn't interfering with column names.
- C. Check if the fct_orders model or source actually includes an 'order_date' column.
- D. Ensure there are no downstream models that could be altering the 'fct_orders' table.
Answer: C
Explanation:
Start with the basics! This error typically indicates a schema mismatch between your assumption and the actual data structure.
NEW QUESTION # 98
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