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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Transformation Techniques | 25% | - Jinja templating - Macros and packages - Refactoring and incremental models - Common table expressions and subqueries |
| Topic 2: Testing and Documentation | 20% | - Documentation generation - dbt docs and DAG visualization - Schema tests (unique, not_null, accepted_values, relationships) - Custom data tests |
| Topic 3: Deployment and Orchestration | 15% | - Jobs and scheduling in dbt Cloud - CI/CD with dbt Cloud - Environments (dev, staging, prod) - Git version control integration |
| Topic 4: Models | 25% | - Sources and references - Materializations (table, view, ephemeral, incremental) - Seeds - Writing and managing SQL models - Snapshots |
| Topic 5: dbt Fundamentals | 15% | - dbt Core vs dbt Cloud - dbt project structure - dbt workflow and best practices |
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NEW QUESTION # 217
Your dbt project contains models that process data with varying levels of sensitivity. Which of the following might be reasons to utilize different schemas or even different targets within your data warehouse for these data sensitivity levels?
Answer: C
Explanation:
A: Separate schemas or targets enhance access control granularity. B: Some data workloads might have different performance requirements- C: Compliance often necessitates structured data organization-
NEW QUESTION # 218
You've just added some schema tests to a critical model. Which command should you execute to ensure these new tests are run?
Answer: B
Explanation:
The dbt test command is specifically designed to execute the tests you've defined within your models.
NEW QUESTION # 219
You're using the dbt-utils.get_column_values macro to list out the unique values from a specific source column in the documentation. However, the generated docs don't display any results. Which of the following reasons are most likely?
Answer: A,B
Explanation:
A: Some macros are designed specifically for model columns and may not function as expected with source columns. B: Macros might depend on data from a recent dbt run operation to generate their output. C: It's always possible that the macro has a bug or your implementation is not quite correct.
NEW QUESTION # 220
(Multiple Select)
Answer: A,D
Explanation:
A leverages path-based selection. B works if your organization is tag-based. C is unrelated, sources are about data, not model location. D is overly complex for this task.
NEW QUESTION # 221
The dbt_project.yml file contains this configuration:
models:
+grants:
select: ['reporter']
How can you grant access to the object in the data warehouse to both reporter and bi?
Answer: A
Explanation:
In dbt, grants can be configured globally, at the project level, or directly inside a model using the config() function. When a grant is set in dbt_project.yml, it becomes a base definition, and individual models may extend (append to) or override that configuration.
According to dbt documentation, prefixing a grant with a plus sign (+) means "extend the list defined in higher-level configurations." Thus, if the project-level config already sets:
select: ['reporter']
...and a model needs to add an additional role (here, bi) without removing the existing one, the correct syntax is:
{{ config(grants = { '+select': ['bi'] }) }}
This tells dbt: "Take the existing grant list (reporter) and append bi to it." Option B is incorrect because '+bi' is not a valid grants syntax.
Option C is invalid because grants do not use an inherits parameter.
Option D is invalid because include: is not a grants configuration key.
Therefore, Option A correctly applies dbt's documented merging behavior for grants.
NEW QUESTION # 222
......
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