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| Section | Weight | Objectives |
|---|---|---|
| dbt Models Governance | 15% | - Project organization and structure - Version control integration - Naming conventions and standards |
| Implementing dbt Tests | 10% | - Custom tests - Test configuration and execution - Built-in tests |
| Debugging and Error Resolution | 15% | - Resolving data quality issues - Identifying modeling errors - Debugging techniques |
| Managing Data Pipelines | 15% | - Pipeline orchestration - Deployment strategies - CI/CD integration |
| Leveraging dbt State | 5% | - State-aware operations - State management |
| Developing dbt Models | 20% | - Model design and structure
|
| External Dependencies | 10% | - Managing snapshots - External sources integration - Using packages |
| Creating and Maintaining Documentation | 10% | - Documentation standards - Descriptions and metadata - Generating documentation |
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NEW QUESTION # 190
You're collaborating with a third-party analytics vendor who requires access to a subset of processed data within your dbt project for integration into their platform. How might you approach this securely?
Answer: B
Explanation:
A: A separate schema isolates access and allows tailoring permissions. B: Data sharing features provide a secure and controlled channel. C: Offline extracts might be the only option for some vendors.
NEW QUESTION # 191
You have a model that assumes an input dataset will always be sorted by a particular column. Unfortunately, this is not always true. What might be the best way to make your model more robust?
Answer: A,C
Explanation:
A enforces the assumption, making the model deterministic. B acts as a failsafe if the assumption cannot be guaranteed. C is a passive approach, and D is unrelated to the problem.
NEW QUESTION # 192
Examine this query:
select *
from {{ ref('stg_orders') }}
where amount_usd < 0
You want to make this a generic test across multiple models.
Which set of two standard arguments should be used to replace {{ ref('stg_orders') }} and amount_usd?
Choose 1 option.
Answer: A
Explanation:
When converting a model-specific SQL query into a generic test, dbt expects the test macro to accept the two standard arguments used across all generic tests: model and column_name. These arguments allow dbt to automatically pass the correct table and the correct column when the test is applied in YAML.
The argument model represents the actual relation (table/view) being tested. dbt compiles the reference itself-so instead of writing ref('stg_orders'), generic tests always use {{ model }} to represent the referenced relation.
The argument column_name represents the actual column being tested. In this case, the hard-coded column amount_usd becomes the dynamic argument {{ column_name }}, allowing you to apply the logic to any numeric or validated column across multiple models.
So the generic version of your SQL becomes:
select *
from {{ model }}
where {{ column_name }} < 0
The other options are incorrect:
* source is not the standard argument for generic tests.
* model_name is not automatically passed by dbt.
* field is not a recognized standard test argument.
Thus, the two correct standard arguments are model and column_name.
NEW QUESTION # 193
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 # 194
(Multiple Select)
Answer: A
Explanation:
B decouples the tools from the underlying model. A is database dependent, C is fragile, D inhibits improvement
NEW QUESTION # 195
......
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