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| Section | Weight | Objectives |
|---|---|---|
| Managing Data Pipelines | 15% | - Deployment strategies - CI/CD integration - Pipeline orchestration |
| Implementing dbt Tests | 10% | - Custom tests - Test configuration and execution - Built-in tests |
| Leveraging dbt State | 5% | - State-aware operations - State management |
| Developing dbt Models | 20% | - Model design and structure
|
| External Dependencies | 10% | - Using packages - External sources integration - Managing snapshots |
| Debugging and Error Resolution | 15% | - Debugging techniques - Identifying modeling errors - Resolving data quality issues |
| dbt Models Governance | 15% | - Naming conventions and standards - Project organization and structure - Version control integration |
| Creating and Maintaining Documentation | 10% | - Documentation standards - Descriptions and metadata - Generating documentation |
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NEW QUESTION # 294
Which explanation describes how dbt infers dependencies between models?
Choose 1 option.
Answer: C
Explanation:
The correct answer is A: Information is gathered from the use of source and ref macros.
dbt determines the dependency graph - the DAG - by analyzing calls to ref() and source() inside model SQL files. These macros explicitly declare relationships between models. When a developer writes ref ('orders'), dbt interprets this as: "the current model depends on the orders model." Similarly, source() indicates dependencies on upstream raw data sources. This declarative approach allows dbt to build a structured and deterministic DAG without scanning SQL for implicit table references.
Option B is incorrect because dbt does not query database objects to infer dependencies; it resolves dependencies at compile time through metadata generated from model files. Option C is incorrect because dbt intentionally does not parse SQL to detect table names-this would be brittle and error-prone across warehouses. Instead, dbt requires explicit references to maintain reliability. Option D is incorrect because YAML files define metadata about models and sources but do not create dependency relationships between them.
Thus, the dependency graph is built exclusively by reading ref() and source() macro calls, which ensures clarity, correctness, and maintainability within the analytics engineering workflow.
NEW QUESTION # 295
Given this dbt_project.yml:
name: "jaffle_shop"
version: "1.0.0"
config-version: 2
profile: "snowflake"
model-paths: ["models"]
macro-paths: ["macros"]
snapshot-paths: ["snapshots"]
target-path: "target"
clean-targets:
- "logs"
- "target"
- "dbt_modules"
- "dbt_packages"
models:
jaffle-shop:
+materialized: table
...and this warning when compiling your project:
[WARNING]: Configuration paths exist in your dbt_project.yml file which do not apply to any resources.
There are 1 unused configuration paths:
- models.jaffle-shop
What is the root cause?
A run hook in the jaffle_shop project was defined with an incorrect regular expression.
Answer: B
Explanation:
The true root cause is not related to run hooks or regular expressions. The warning clearly indicates that dbt found a configuration path that does not match any actual model path inside the project. In this case, the config block uses the key models.jaffle-shop, which is incorrect because dbt model paths must match the folder structure and cannot contain hyphens unless the folder itself contains a hyphen. Since the project folder is named jaffle_shop (with an underscore), dbt cannot map the configuration to any model.
dbt evaluates configuration paths based on directory names under the models/ folder. A mismatch between the folder name and the configuration key causes dbt to ignore the configuration entirely. This results in the warning:
"Configuration paths exist in your dbt_project.yml file which do not apply to any resources." This warning is specifically triggered when dbt identifies unused configuration paths due to typos, incorrect nesting, or invalid identifiers. dbt does not interpret hyphens (-) as valid Python identifiers for resource names, so a config path like models.jaffle-shop will never be applied.
Therefore, the assertion that the cause is a "run hook with an incorrect regular expression" is incorrect. The actual root cause is that the configuration path uses the wrong name (jaffle-shop instead of jaffle_shop).
NEW QUESTION # 296
You run a dbt job that heavily utilizes CT Es (Common Table Expressions). In your development environment, it works flawlessly. However, in production (a different database technology), it throws errors. Which potential causes should you investigate?
Answer: B,D
Explanation:
Acan lead to different behavior under load. B different dialects have nuances about CTE support C is unlikely, D less probable than a dialect-specific issue.
NEW QUESTION # 297
You suspect discrepancies due to potential changes in upstream source tables. What's a practical first step to investigate?
Answer: B
Explanation:
Understanding if there were any intentional data source changes is crucial before diving into technical troubleshooting. Options A, B, and D might be necessary subsequent steps.
NEW QUESTION # 298
Which is true about writing generic tests?
Choose 1 option.
Answer: E
Explanation:
The correct answer is E: They are written using the {% macro %} wrapper.
Generic tests in dbt are implemented as macros, which means they must be defined using the {% macro %} Jinja syntax. These macros return a SQL query that evaluates to rows representing test failures. dbt executes these queries and marks the test as failed if any rows are returned. This requirement is explicitly documented:
all generic tests are macros located in a test directory or within a package.
Option A is partially correct but not universal. Generic tests typically accept arguments such as model or column_name, but dbt does not require both or either. Custom tests can accept any parameters defined by the user. Option B is incorrect because tests do not require ref(); dbt injects the model relation for you when the test is executed. Option C is false because generic tests must be declared in YAML under a model or source for dbt to run them. Option D is incorrect because tests do not always need a column_name (e.g., relationship tests, row-count tests, table-level validations).
Therefore, the defining and universally required characteristic is that generic tests are written as macros, making E the correct answer.
NEW QUESTION # 299
......
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