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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Models	25%	- Sources and references - Materializations (table, view, ephemeral, incremental) - Seeds - Writing and managing SQL models - Snapshots
Topic 2: Deployment and Orchestration	15%	- Environments (dev, staging, prod) - Jobs and scheduling in dbt Cloud - Git version control integration - CI/CD with dbt Cloud
Topic 3: Testing and Documentation	20%	- Schema tests (unique, not_null, accepted_values, relationships) - dbt docs and DAG visualization - Custom data tests - Documentation generation
Topic 4: dbt Fundamentals	15%	- dbt project structure - dbt workflow and best practices - dbt Core vs dbt Cloud
Topic 5: Data Transformation Techniques	25%	- Jinja templating - Macros and packages - Common table expressions and subqueries - Refactoring and incremental models

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dbt Labs dbt Analytics Engineering Certification Exam Sample Questions (Q320-Q325):

NEW QUESTION # 320
Choose a correct command for each statement.

Answer:

Explanation:

Explanation:
Will always point to the latest version of the source schema
Correct Match: # defer
Allows to use objects built in the target schema with any downstream tool Correct Match: # dbt clone
3## Allows to safely modify objects built in the target schema
Correct Match: # defer
4## Is a point-in-time operation
Correct Match: # dbt clone
defer and dbt clone serve very different purposes in dbt, and understanding their behavior is essential for choosing the right command.
The --defer flag tells dbt to use already-built objects from a previous environment (often production) instead of rebuilding them. Because it always references the existing target schema's most recent objects, it "always points to the latest version of the source schema." Since no objects are overwritten when using defer, it also
"allows safely modifying objects built in the target schema"-your development environment uses production objects without altering them.
By contrast, dbt clone creates a point-in-time copy of existing relations. This cloned schema is static; it does not auto-update when source data changes. Therefore, clone is classified as a "point-in-time operation." Since clone copies physical tables/views into a new schema, downstream tools (BI dashboards, ML pipelines) can safely query the cloned environment without affecting production, making "allows to use objects built in the target schema with any downstream tool" the correct match.
Thus, defer is used for logic substitution without copies, while clone is used for replicable, point-in-time snapshots.

NEW QUESTION # 321
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 version control system
C. A data catalog
D. A data profiling tool

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 # 322
Unexpected Results

A. Implement targeted profiling to measure the execution time of specific query sections within the model.
B. Revert the changes in your version control system to restore the model to its previous working state.
C. Use diff tools or version control history to compare the refactored logic against the previous version.

Answer: B

Explanation:
Start by gaining situational awareness (logs), pinpointing bottlenecks (profiling), and then analyzing the code change itself (diff). Revert if needed but only after some investigation.

NEW QUESTION # 323
A non-technical user needs to access a specific table generated by your dbt project. Which of the following is the LEAST suitable option?

A. Set up a read-only connection to the database and guide them with SQL queries.
B. Share query results as a CSV file.
C. Grant them access to the output from dbt docs generate.
D. Create a dashboard in a Bl tool connected to your data warehouse.

Answer: A

Explanation:
Providing direct database access to non-technical users carries risks. Options A, C, and D provide information without exposing the user to unnecessary complexity.

NEW QUESTION # 324
You need to parameterize a dbt model that filters data based on a country code. Which approach offers the BEST combination of flexibility and security?

A. Use environment variables in conjunction with Jinja to substitute the country code.
B. Create a seed file mapping country codes to filter values and reference it in the model.
C. Build a dynamic query string entirely within a Jinja macro.
D. Pass the country code as a CLI argument when executing dbt run.

Answer: A

Explanation:
Environment variables provide control and help prevent SQL injection risks. While the other options might work, they are less secure or less flexible.

NEW QUESTION # 325
......

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