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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:

Section	Objectives
Topic 1: Deployment and Orchestration	- Running dbt in production 1. dbt Cloud and job scheduling 2. CI/CD integration patterns - Environments and workflows 1. Version control with Git 2. Development vs production environments
Topic 2: Documentation and Lineage	- Data lineage understanding 1. Directed acyclic graph (DAG) 2. Dependency tracking with ref() - dbt documentation system 1. Model descriptions and metadata 2. Auto-generated docs site
Topic 3: dbt Core Concepts	- Project structure and configuration 1. Packages and dependencies 2. dbt_project.yml configuration - Models and materializations 1. Views, tables, incremental models 2. Ref and source functions
Topic 4: Testing and Data Quality	- Built-in and custom tests 1. Custom SQL tests 2. Generic tests (unique, not null, relationships) - Data validation strategies 1. CI-based validation workflows 2. Schema testing practices
Topic 5: Analytics Engineering Foundations	- SQL proficiency for analytics 1. Data modeling in SQL 2. Joins, aggregations, and window functions - Modern data stack concepts (ELT vs ETL) 1. Role of dbt in analytics engineering 2. Warehouse-centric transformation workflows

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dbt Labs dbt Analytics Engineering Certification Exam 認定 dbt-Analytics-Engineering 試験問題 (Q251-Q256):

質問 # 251
You debug a production issue by running a model in a testing environment with additional logging output. Which dbt features or command-line additions would facilitate this?

A. dbt hooks to redirect model-related logs to a centralized logging platform.
B. Custom dbt flags (using -vars) to control the logging level of the SQL execution.
C. Environment variables to conditionally enable verbose logging macros inside the model.
D. The -warn-error flag to treat warnings as errors, making your run fail louder on potential issues.

正解：B、C、D

解説：
These provide control during execution:A changes model behavior. B makes execution more sensitive. C alters dbt's log handling.

質問 # 252
Ignoring indentation, arrange these YAML code snippets in the correct order to generate descriptions on the source, table, and column:

正解：

解説：

Explanation:
Here is the correct sequence:
Correct Order
* sources:
* - name: blue (source definition)
* tables:
* - name: yellow (table definition)
* columns:
* - name: red (column definition + tests)
In dbt, source documentation follows a strict YAML hierarchy. At the top level, the sources: key declares that you are defining source metadata. Inside this block, each source is listed as an item beginning with - name:.
Therefore, the snippet describing the source (blue) must come immediately after sources:.
Next, dbt requires a tables: block inside each source to define the raw tables belonging to that source. Thus, the snippet containing tables: must follow the source definition. The table description (yellow) is then placed directly under this key because it represents a table within that source.
Finally, dbt allows column-level metadata under a columns: block inside a table definition. Therefore, columns: appears next, followed by the snippet defining a specific column (red) which includes both a description and tests (unique, not_null).
Arranging the YAML in this hierarchical order ensures dbt can correctly assign documentation to the source object, the table object, and the individual column. Misordering these snippets would break the structure and prevent dbt from generating documentation properly.

質問 # 253
Regular test runs reveal inconsistent and intermittent test failures, despite no obvious changes to models or source dat a. What debugging strategies might you use?

A. Consider if external dependencies used within dbt tests are themselves unstable.
B. Examine data warehouse performance metrics for resource constraints during test runs.
C. Use dbfs logging feature to add detailed output to the test execution.
D. Temporarily switch to a more consistent testing environment.

正解：A、B、C

解説：
Each helps track down potential causes of non-deterministic test behavior. D might be too drastic early on.

質問 # 254
(Multiple Select)

A. test-paths
B. materialized: view
C. database
D. model-paths

正解：A、D

解説：
model-paths and test-paths specify project directory structures- Options C would be within a model configuration, and D could be in a profile.

質問 # 255
You get a compilation error: "Configuration key 'enabled' not found". Where in your dbt_project.yml would you start looking to fix this, and why?

A. Within the models section, as models often use the enabled property.
B. In the top-level profiles.yml, as the enabled key is specific to setting up project profiles.
C. In a seeds.yml file or the seeds section, where enabled is a valid property.
D. Under a specific source definition, as sources can also sometimes be conditionally enabled.

正解：A

解説：
Since it's a generic error, start with the most common location - model configurations. The others might be valid in certain scenarios.

質問 # 256
......

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