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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Testing and Documentation20%- Custom data tests
- dbt docs and DAG visualization
- Documentation generation
- Schema tests (unique, not_null, accepted_values, relationships)
Topic 2: Models25%- Snapshots
- Sources and references
- Materializations (table, view, ephemeral, incremental)
- Seeds
- Writing and managing SQL models
Topic 3: Deployment and Orchestration15%- Jobs and scheduling in dbt Cloud
- Environments (dev, staging, prod)
- Git version control integration
- CI/CD with dbt Cloud
Topic 4: Data Transformation Techniques25%- Jinja templating
- Macros and packages
- Refactoring and incremental models
- Common table expressions and subqueries
Topic 5: dbt Fundamentals15%- dbt project structure
- dbt workflow and best practices
- dbt Core vs dbt Cloud

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dbt Labs dbt Analytics Engineering Certification Exam Sample Questions (Q185-Q190):

NEW QUESTION # 185
You have a time-series fact table, and you're building incremental dbt models for efficiency. Model A loads an initial snapshot; subsequent models process new records only. During a dbt run, a model that processes new data fails. Select the possible consequences:

Answer: A,D

Explanation:
A and D are true. Incremental models and snapshot models are designed to work independently within a well-structured dbt project. Failure of one shouldn't affect another. B is incorrect. Dbt doesn't have automatic rollback across entire tables. C is incorrect. Only downstream dependent incremental models would require a rerun, not all of them.


NEW QUESTION # 186
You've included the popular 'dbt-utils' package in your project. Where should you primarily expect to find the models and macros it offers?

Answer: D

Explanation:
Packages extend your project's functionality by placing items within your model's directory offering seamless integration.


NEW QUESTION # 187
While working on a feature branch, you need to incorporate some critical bug fixes that were merged into the main branch. Which Git commands, or combination of commands, would you use?

Answer: B,D

Explanation:
B: Rebasing integrates the main branch's changes onto your feature branch, keeping a linear history. C: Merging directly creates a merge commit, making the history slightly less linear but often easier to track when features are integrated.


NEW QUESTION # 188
Select the dbt materialization that typically DOES NOT persist its results to disk:

Answer: D

Explanation:
Ephemeral materializations are computed within CTEs (Common Table Expressions). Their results exist only during the query's execution and are useful for intermediate steps within complex transformations.


NEW QUESTION # 189
You're experimenting with new transformations. You want to iterate on a model without affecting data in the production warehouse. Which dbt command should you use along with appropriate flags?

Answer: C

Explanation:
The -target flag allows you to isolate development work within different environments preventing accidental changes to production data.


NEW QUESTION # 190
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