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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:

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

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dbt Labs dbt Analytics Engineering Certification Exam Sample Questions (Q333-Q338):

NEW QUESTION # 333
You suspect discrepancies in a critical model. To troubleshoot, you need to understand the order of model execution, but the DAG is complex. What would be the BEST strategy to get this information?

A. Run dbt docs generate and inspect the generated documentation.
B. Visually inspect the manifest.json file.
C. Use dbt Is -select
D. Manually trace the dependencies in your model files.

Answer: A

Explanation:
While other options provide some information, dbt docs generate creates comprehensive documentation including a visual DAG to show execution flow clearly.

NEW QUESTION # 334
Which two dbt commands work with dbt retry?
Choose 2 options.

A. deps
B. snapshot
C. debug
D. parse
E. run-operation

Answer: B,E

Explanation:
The correct answers are A: run-operation and E: snapshot.
According to dbt's retry documentation, the dbt retry command works by examining the artifacts of a previous invocation (manifest, run results) and then re-running failed nodes for commands that generate node executions. Only commands that write run results and maintain execution state can be retried. These include dbt run, dbt test, dbt seed, dbt snapshot, and dbt run-operation when the operation executes nodes or macros that generate runtime artifacts.
Option A is correct because run-operation supports retry when the macro being run triggers execution tracked in run results. Option E is correct because snapshots execute SQL against the warehouse and record stateful results, meaning dbt can retry failed snapshots using the retry mechanism.
Options B (parse), C (debug), and D (deps) do not create runnable nodes or execution results; they simply validate or install project resources. These commands do not produce retryable artifacts, so dbt retry cannot operate on them.
Thus, the only options that work with dbt retry from the list provided are run-operation and snapshot.

NEW QUESTION # 335
You're onboarding a new team member and need to set them up with a personal sandbox environment within your existing project. What factors do you need to consider?

A. All of the above.
B. How to configure a profile on their machine and guide them to isolate changes to their sandbox.
C. How to provision data warehouse resources if needed, such as a separate schema or potentially even a dedicated database.
D. Whether they need access to production data replicas and how to control this securely

Answer: A

Explanation:
A: Resource allocation impacts security and costs. B. Sandbox access should align with the developer's role and data privacy requirements. C: Setting up the developer's machine and workflow is essential-

NEW QUESTION # 336
You're ready to integrate your feature branch into the main branch. Which scenarios would necessitate a pull request and code review process?

A. You are the only contributor to the dbt project.
B. You are working on a personal dbt project.
C. You are working in a collaborative team environment with established quality control practices.
D. In all dbt projects, pull requests should be mandatory.

Answer: C,D

Explanation:
C: Code reviews are crucial in collaborative settings for improving quality and sharing knowledge. D: While not strictly mandatory always, pull requests are a best practice even when working alone as they encourage structured change tracking-

NEW QUESTION # 337
A team member proposes directly joining multiple raw source tables into a single large model for convenience.
Which of the following is a potential long-term consequence of this approach?

A. Your DAG might inadvertently develop circular dependencies.
B. The dbt test command might run slower due to the complex join logic.
C. Maintenance complexity increases as business logic or source tables change.
D. Incremental materialization strategies would no longer be applicable.

Answer: C

Explanation:
Directly joining raw sources sacrifices modularity and flexibility. While option A is partially true, B highlights a more significant maintainability risk.

NEW QUESTION # 338
......

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