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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:

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

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dbt Labs dbt Analytics Engineering Certification Exam Sample Questions (Q31-Q36):

NEW QUESTION # 31
You've introduced a new series of dbt models and want to run them in isolation to verify results before integrating them into the main build process. Which dbt command options and flags are likely to be useful?

A. dbt build -exclude model_name to temporarily skip certain models.
B. dbt run -m +model_path to explicitly select a model by its file path.
C. dbt run -s to target models with a specific tag
D. dbt test --select source name to validate the new models' source data.

Answer: B,C

Explanation:
A and C provide precise selection mechanisms. B is for exclusion, not focused execution- D is about tests, not model runs-

NEW QUESTION # 32
You've created a new model ref_country_codes. It references a raw table in your data warehouse raw_web_events. To ensure this dependency is valid and up-to-date, you should include which element in your model definition?

A. A custom macro to validate data in raw web events
B. A dbt seed file populating ref_country_codes
C. A source freshness test on raw web events
D. A schema test on ref_country_codes

Answer: C

Explanation:
Verifying raw object dependencies is about data freshness. A source freshness test on the upstream source raw_web_events will alert you if that table becomes stale, causing potential issues in your ref_country_codes model.

NEW QUESTION # 33
(Multiple Select)

A. Using dbt Cloud's built-in job monitoring and notification features, if applicable.
B. Integrating dbt's logging with your existing monitoring and alerting platforms.
C. Require thorough code reviews with a focus on testability before deploying model changes to production.
D. Implement custom metrics tracking the duration and resource usage of individual dbt models.

Answer: A,B,D

Explanation:
These provide active monitoring of your dbt production environment. D is a good practice, but not about real-time observability

NEW QUESTION # 34
You want to include a detailed lineage diagram in your project documentation. Which of these approaches would you likely consider?

A. Configure a third-party dbt package designed for enhanced lineage and visualization.
B. Write a custom macro that generates a lineage diagram and include it in relevant model descriptions.
C. Use the built-in lineage functionality within dbt's standard documentation generation.
D. Manually create a diagram using a separate tool and add an image reference in a model's description.

Answer: A,B,D

Explanation:
A: For basic needs, a manual approach might be sufficient C: Custom macros provide flexibility in how the lineage is presented. D: Specialized packages offer advanced lineage visualization capabilities-

NEW QUESTION # 35
After configuring a dbt package, you notice its models depend on a source table absent from your warehouse. How do you typically address this?

A. File an issue or submit a pull request to the package's repository.
B. Update your source definitions to include the required table.
C. Rewrite the package's model from scratch within your project to remove the dependency.
D. Override the package model's SQL query to reference an existing table in your warehouse.

Answer: D

Explanation:
Start by fulfilling the package's dependencies. If the table is truly generic, then customizing the SQL (B) might be the next step.

NEW QUESTION # 36
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