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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:

Section	Objectives
Topic 1: Deployment and Orchestration	- Environments and workflows 1. Development vs production environments 2. Version control with Git - Running dbt in production 1. dbt Cloud and job scheduling 2. CI/CD integration patterns
Topic 2: dbt Core Concepts	- Models and materializations 1. Ref and source functions 2. Views, tables, incremental models - Project structure and configuration 1. dbt_project.yml configuration 2. Packages and dependencies
Topic 3: 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 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	- Modern data stack concepts (ELT vs ETL) 1. Warehouse-centric transformation workflows 2. Role of dbt in analytics engineering - SQL proficiency for analytics 1. Joins, aggregations, and window functions 2. Data modeling in SQL

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最新的 Analytics Engineers dbt-Analytics-Engineering 免費考試真題 (Q131-Q136):

問題 #131
You suspect discrepancies in a critical model. To troubleshoot, you need to understand the order of model execution, but the DAG is complex. What would be the BEST strategy to get this information?

A. Visually inspect the manifest.json file.
B. Use dbt Is -select
C. Manually trace the dependencies in your model files.
D. Run dbt docs generate and inspect the generated documentation.

答案：D

解題說明：
While other options provide some information, dbt docs generate creates comprehensive documentation including a visual DAG to show execution flow clearly.

問題 #132
After adding several new models to your project, you want to execute only those models and their direct dependencies. Which command combination best achieves this?

A. dbt run -exclude model namel model name2
B. dbt run followed by dbt test
C. dbt build
D. dbt run -models +model namel +model name2 ...

答案：D

解題說明：
The + syntax with dbt run allows you to specify models and their upstream dependencies. Dbt build encompasses run and test along with snapshot execution.

問題 #133
You define a source table and include an override:YAML

A. The overrides property is not valid for tables within your dbt_project.yml.
B. The value 'my_project' is not a recognized keyword by dbt.
C. The overrides property needs to be defined at the source level, not the table level.
D. You need to create a macro named 'my_project' that contains the specific overriding logic.

答案：C

解題說明：
While dbt supports overrides, they generally work at higher levels within your project file, not at the model level.

問題 #134
While onboarding new data sources to your dbt project, you discover some have unexpectedly high null rates in key columns. How would you integrate tests for this into your dbt workflow?

A. Designate some nulls as acceptable by extending the not_null test with the OR condition.
B. Create not_null tests on the raw source tables in a separate dbt project dedicated to source validation.
C. Write tests within the initial staging models that calculate and check the null percentage.
D. Include a data quality monitoring step in your upstream ETL process before data reaches dbt

答案：C,D

解題說明：
B ensures data entering dbt is checked at the first opportunity. C pushes quality checks as far upstream as possible- A is valid, but less integrated if sources are managed outside dbt's purview D masks the problem rather than addresses it.

問題 #135
Which two are true for a dbt retry command?
Choose 2 options.

A. It picks up from the error without running all of the upstream dependencies.
B. It reuses selectors from the previous command.
C. It reruns all nodes in your previous invocation statement.
D. It retries the previous command if it is not a syntax error in a model.
E. It reads a manifest.json file to identify the models and tests that failed in the last run.

答案：D,E

解題說明：
The correct answers are B and E.
The dbt retry command was introduced to help developers quickly re-run only what failed in the prior dbt invocation. According to dbt documentation, dbt retry examines metadata from the previous execution, including the run results and the manifest.json, to determine which nodes failed. This aligns with Option E, as dbt uses the manifest to identify the models, tests, and other nodes that errored or were not executed successfully.
Option B is also correct because dbt retry works only when the previous run failed due to execution errors (e.
g., a warehouse failure or a logic error in SQL). If the failure was due to a syntax error that prevented dbt from compiling, there will be no valid manifest produced, so retry cannot execute. Thus, dbt retry can only re- run models when the previous failure occurred after successful compilation.
Options A and C are incorrect because retry does not run all nodes nor does it automatically pick up exactly where an execution stopped - instead, it runs failed and downstream unbuilt nodes as determined by the manifest. Option D is also incorrect; retry uses the execution metadata, not selectors, to determine what should run.

問題 #136
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