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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Models | 25% | - Sources and references - Seeds - Snapshots - Materializations (table, view, ephemeral, incremental) - Writing and managing SQL models |
| Topic 2: Data Transformation Techniques | 25% | - Macros and packages - Jinja templating - Refactoring and incremental models - Common table expressions and subqueries |
| Topic 3: dbt Fundamentals | 15% | - dbt Core vs dbt Cloud - dbt workflow and best practices - dbt project structure |
| Topic 4: Deployment and Orchestration | 15% | - CI/CD with dbt Cloud - Environments (dev, staging, prod) - Jobs and scheduling in dbt Cloud - Git version control integration |
| Topic 5: Testing and Documentation | 20% | - Custom data tests - Documentation generation - dbt docs and DAG visualization - Schema tests (unique, not_null, accepted_values, relationships) |
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NEW QUESTION # 343
You're setting up a development environment in a cloud data warehouse with usage-based billing. How might you approach cost management in this context?
Answer: C
Explanation:
A). Controlling uptime reduces unnecessary costs. B. Right-sizing data warehouse resources helps align usage and cost C: Smaller datasets lower compute and storage costs. D: Proactive alerts prevent unexpected cost spikes.
NEW QUESTION # 344
Examine the configuration for the source:
sources:
- name: jaffle_shop
schema: jaffle_shop_raw_current
tables:
- name: orders
identifier: customer_orders
Which reference to the source is correct?
Answer: C
Explanation:
In dbt, the source() function resolves a source by its declared source name and table name, not by the physical schema or identifier in the warehouse. The YAML block defines a source named jaffle_shop, and under that source, a table named orders. The identifier: customer_orders field tells dbt that although the logical table name is orders, the actual physical object in the warehouse is named customer_orders.
dbt always expects the syntax:
{{ source(source_name, table_name) }}
Here, the correct reference uses jaffle_shop as the source name and orders as the table name because these are the logical names assigned in the YAML. dbt internally resolves the physical table name via the identifier field, so the model should not reference customer_orders directly.
Option A and B are incorrect because the first argument is not the schema; dbt does not use schemas in the source() call. Option D is incorrect because customer_orders is the warehouse identifier, not the logical table name recognized by dbt.
Therefore, the correct reference is:
{{ source('jaffle_shop', 'orders') }}
This ensures consistent modeling, dependency tracking, and accurate documentation.
NEW QUESTION # 345
Code Review
Answer: C
Explanation:
Contextualizing the fix is crucial during code review. Docs, tests, and additional reviews are fantastic but might not always be feasible within time constraints.
NEW QUESTION # 346
After running dbt docs generate, you notice that your project documentation looks incomplete, and certain details seem to be missing. Which of the following actions could help you troubleshoot the issue?
Answer: A,C,D
Explanation:
A Missing descriptions for elements within your project will directly impact the completeness of the generated documentation. B: Residual -select flags from previous runs might limit the models that dbt processes for the documentation. C: dbt's standard structure assumes a 'models' directory for discovering models. Incorrect placement could interfere with the documentation generatiom
NEW QUESTION # 347
You need to override a source description at the model level. How would you achieve this most effectively?
Answer: B
Explanation:
The meta configuration can be used to override source descriptions and other metadata at the model level. However, make sure to check the documentation for your specific dbt version, as the exact way to do this might vary_
NEW QUESTION # 348
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