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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Deployment and Orchestration	15%	- Git version control integration - Jobs and scheduling in dbt Cloud - CI/CD with dbt Cloud - Environments (dev, staging, prod)
Topic 2: Models	25%	- Snapshots - Seeds - Writing and managing SQL models - Materializations (table, view, ephemeral, incremental) - Sources and references
Topic 3: dbt Fundamentals	15%	- dbt Core vs dbt Cloud - dbt workflow and best practices - dbt project structure
Topic 4: Testing and Documentation	20%	- Custom data tests - Schema tests (unique, not_null, accepted_values, relationships) - dbt docs and DAG visualization - Documentation generation
Topic 5: Data Transformation Techniques	25%	- Common table expressions and subqueries - Refactoring and incremental models - Jinja templating - Macros and packages

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最新的 Analytics Engineers dbt-Analytics-Engineering 免費考試真題 (Q127-Q132):

問題 #127
Your dbt project contains a series of interlinked models (A, B, C, D) where some models have downstream dependencies on upstream models. While running dbt run, model C fails due to a data validation test you added. Which of the following statements are potentially true?

A. Model C has stale data but can still be queried.
B. Model D cannot be built until the issue with Model C is resolved.
C. The failure of Model C triggers an automatic rollback of Model A and Model B.
D. Model A and Model B are unaffected and have the most up-to-date data.

答案：A,B,D

解題說明：
A is true because upstream models that successfully complete are unaffected by downstream failures. B is true due to the dependency structure of the DAG. Model D cannot be created if its prerequisite, Model C, fails. C is false. dbt models don't automatically roll back upon failure unless you explicitly program this. D is true. Even though the model wasn't created successfully, the prior version (if it existed) remains in the warehouse

問題 #128
"Our dbt jobs take hours to run, and it's hard to know why!" says a frustrated colleague. What initial investigation steps would you suggest?

A. All of the above.
B. Look into dbt's profiling capabilities to pinpoint the slowest models and queries.
C. Check your dbt_project.yml configuration for any project-wide performance settings to optimize.
D. Review any 'on-run-start' or 'on-run-end' hooks that might add unexpected overhead.

答案：D

解題說明：
Each of these could provide valuable insights. Start with profiling to find the most performance-critical areas, but don't neglect hooks and potential config-level optimizations.

問題 #129
(Multiple Select)

A. Macros for fiscal period calculations or string manipulations.
B. A custom adapter to connect to a niche data source.
C. Models addressing a domain-specific use case (e.g., subscription analytics).
D. Snapshots that track the state of your sources on a schedule.

答案：A,C

解題說明：
Packages excel at providing reusable macros and domain-specific model sets. Snapshots and adapters are usually independent of or extend the core dbt feature set.

問題 #130
Your dbt project is part of a larger application where code for multiple components is merged into a shared main branch. Conflicts are becoming frequent. Which strategies could help mitigate merge conflicts?

A. All of the above.
B. Encourage frequent merging of smaller feature branches into the main branch.
C. Establish clear ownership and responsibilities for different areas of the dbt project.
D. Develop a communication process to notify teammates when changes are made to potentially shared models or sources.

答案：A

解題說明：
Explanation: A Clear ownership reduces the likelihood of conflicting edits. B: Proactive communication helps avoid surprise changes that can cause conflicts_ C: Smaller changesets decrease the potential for conflicting changes across branches.

問題 #131
You encounter a runtime error: "Column 'order_date' not found in the target relation". You examine your model and see:SQL

A. Ensure there are no downstream models that could be altering the 'fct_orders' table.
B. Check if the fct_orders model or source actually includes an 'order_date' column.
C. Verify that your Jinja templating in other models isn't interfering with column names.
D. Review the fct_orders model's SQL logic to see if it unintentionally removes or renames the 'order_date' column.

答案：B

解題說明：
Start with the basics! This error typically indicates a schema mismatch between your assumption and the actual data structure.

問題 #132
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