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| Section | Weight | Objectives |
|---|---|---|
| Testing and Documentation | 20% | - Documentation generation - Schema tests (unique, not_null, accepted_values, relationships) - Custom data tests - dbt docs and DAG visualization |
| Models | 25% | - Materializations (table, view, ephemeral, incremental) - Seeds - Writing and managing SQL models - Sources and references - Snapshots |
| Data Transformation Techniques | 25% | - Refactoring and incremental models - Common table expressions and subqueries - Macros and packages - Jinja templating |
| Deployment and Orchestration | 15% | - Environments (dev, staging, prod) - Jobs and scheduling in dbt Cloud - CI/CD with dbt Cloud - Git version control integration |
| dbt Fundamentals | 15% | - dbt project structure - dbt Core vs dbt Cloud - dbt workflow and best practices |
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NEW QUESTION # 91
You define a new generic test on model customers in a YAML file:
version: 2
models:
- name: customers
columns:
- name: customer_id
tests:
- unique
- not_null
The next time your project compiles you get this error:
Raw Error:
mapping values are not allowed in this context
in "<unicode string>", line 7, column 21
What is the cause of this error?
Answer: B
Explanation:
This error occurs because the YAML structure is incorrectly indented, causing dbt's parser (and YAML itself) to misinterpret the test definitions. In dbt, generic tests must be declared as a list under the tests: key, but YAML is extremely sensitive to indentation levels. In the faulty YAML, unique and not_null are indented incorrectly relative to the tests: key, which produces the error: "mapping values are not allowed in this context." According to the dbt Testing documentation, valid generic test syntax follows this exact pattern:
columns:
- name: id
tests:
- unique
- not_null
The indentation under tests: must be consistent and aligned so that YAML interprets the items as list elements, not as malformed mappings. When indentation is wrong, YAML attempts to parse list entries as key-value mappings, which leads to the error seen during compilation.
dbt does not require generic test names to be quoted, nor does it expect tests to be a dictionary. The test list format is correct-only the indentation is wrong. Therefore, the root cause is incorrect YAML indentation, making Option D correct.
NEW QUESTION # 92
You are building an incremental model.
Identify the circumstances in which is_incremental() would evaluate to True or False.
Answer:
Explanation:
Explanation:
1. There is a config block at the top of the model with materialized = 'table'
## Answer: False
2. The corresponding table already exists in the data warehouse
## Answer: True
3. The incremental model was executed with the --full-refresh flag
## Answer: False
4. The corresponding table does not already exist in the data warehouse
## Answer: False
The is_incremental() macro in dbt is used within an incremental model to determine whether the current invocation should perform an incremental update or a full rebuild. It evaluates to True only during an incremental run when the target table already exists in the data warehouse and dbt is not performing a full refresh.
For is_incremental() to return True, two conditions must be met:
* The model must be materialized as incremental, not table or view.Therefore, if the config specifies materialized = 'table', the model is not incremental, and the function evaluates to False.
* The table already exists in the target schema.In this case, dbt will run the model in incremental mode, making is_incremental() return **True`.
If the incremental model is run with --full-refresh, dbt intentionally rebuilds the entire table, meaning is_incremental() evaluates to False, even if the table exists.
Lastly, if the target table does not exist yet, dbt must create it from scratch, so the run is treated as a full rebuild, not an incremental update, causing is_incremental() to evaluate to False.
Thus, the only scenario where is_incremental() returns True is when the table exists and the model is actually incremental.
NEW QUESTION # 93
Collaborative Fix
Answer: C
Explanation:
Changes need context! I-Jse comments, updated docs, and informative commit messages.
NEW QUESTION # 94
dbt Model Snippet:SQL
Answer: D
Explanation:
Subqueries can be performance bottlenecks- The other parts, while potentially optimizable, are less likely to cause a dramatic slowdown.
NEW QUESTION # 95
You've added new tests to a dbt model but are unsure how to determine the test coverage. What's a practical first step?
Answer: D
Explanation:
dbt docs provides visual indicators of which models have tests, aiding in identifying gaps in your coverage strategy
NEW QUESTION # 96
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