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dbt-Analytics-Engineering Pass Test Guide | dbt-Analytics-Engineering Valid Exam Vce Free

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dbt Labs dbt Analytics Engineering Certification Exam Sample Questions (Q128-Q133):

NEW QUESTION # 128
You're tasked with adding functionality to your dbt project for:

A. Handling slowly changing dimensions.
B. Calculating complex financial metrics specific to your industry
C. Auditing data quality with comprehensive anomaly detection tests.

Answer: C

Explanation:
Data quality and SCD management are common needs addressed by many dbt packages. Financial metrics tend to be more domain-specific, and you might need custom logic.

NEW QUESTION # 129
(Multiple Select)

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

Answer: B

Explanation:
B decouples the tools from the underlying model. A is database dependent, C is fragile, D inhibits improvement

NEW QUESTION # 130
(Multiple Select)

A. Data integration testing frameworks (e.g., Great Expectations)
B. Anomaly detection platforms.
C. Continuous Integration (Cl) tools.
D. Tools specializing in schema change detection.

Answer: A,B,D

Explanation:
All of these address different aspects of advanced data validation that complement the basic tests within dbt. Cl tools (D) are involved in running these checks but are not the data validation tools themselves.

NEW QUESTION # 131
Which of the following scenarios might warrant a git rebase instead of a standard git merge when integrating your changes into the main branch?

A. Your branch has diverged significantly from the main branch with unrelated changes.
B. You want to avoid a merge commit and keep a linear project history.
C. You only want to include a subset of your feature branch commits in the main branch.
D. You need to resolve complex merge conflicts that arise during a standard merge.

Answer: A,B

Explanation:
A Rebasing creates a more linear history, making it easier to trace changes over time. D. Rebasing allows for a cleaner integration when a feature branch contains intermingled changes that shouldn't all be merged.

NEW QUESTION # 132
You need a way to document relationships between raw source tables, dbt models, and downstream Bl dashboards. What type of tool would be best suited for this task?

A. dbt's built-in documentation (dbt docs)
B. A data profiling tool
C. A data catalog
D. A version control system

Answer: C

Explanation:
While dbt docs is valuable for dbt project specifics, data catalogs specialize in the broader, end-to-end lineage information needed in this scenario.

NEW QUESTION # 133
......

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