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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:

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

>> dbt-Analytics-Engineering合格資料 <<

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dbt Labs dbt Analytics Engineering Certification Exam 認定 dbt-Analytics-Engineering 試験問題 (Q77-Q82):

質問 # 77
You have a dbt macro that generates a list of models to execute dynamically. Which dbt command should you use in conjunction with this macro to actually run those models?

A. dbt Is to retrieve project metadata and feed it into your custom execution logic.
B. dbt debug to step through model execution while using the macro's output
C. dbt build to create a task graph, extracting model nodes, and running them as needed.
D. dbt parse to pre-compile the project graph, allowing model selection by reference.

正解：D

解説：
A makes the dbt graph available, including macros, during execution- B gets metadata, but not for execution. C helps troubleshoot, but not run macros. D isn't designed for dynamic macro output

質問 # 78
A raw source table undergoes periodic bulk updates that temporarily disrupt dependent models when they are running. Which of the following strategies might help prevent errors in these models? (Choose two)

A. Schedule dbt jobs to run after the bulk updates are typically complete.
B. Utilize snapshots to capture the state of the raw table before the bulk updates.
C. Implement incremental materializations if possible.
D. Add retries with a delay to any 'ref calls referencing this table.

正解：A、B

解説：
Scheduling and snapshots help mitigate timing issues. Incremental models are useful generally but don't address this specific scenario. Retries might mask the disruption instead of resolving it.

質問 # 79
You've finished a new feature but realize some related models now have minor formatting inconsistencies (e.g., spacing, indentation). What's the best way to handle this alongside your feature changes?

A. Create a separate branch and commit addressing only the formatting.
B. Address the formatting issues in the same commits as the feature to avoid extra work.
C. Briefly explain in your pull request description that some incidental formatting changes were included
D. Use git add -p to stage only the feature-related changes, and leave formatting for a future task.

正解：A

解説：
Separating formatting fixes improves code review and history clarity. It allows reviewers to focus on the feature's functionality first and address formatting in a dedicated way.

質問 # 80
You want to standardize descriptions across a large number of models that share the same underlying source schemas. Which approach might be the most efficient?

A. Create a CSV lookup file and maintain custom source descriptions within the file.
B. Manually copy and paste the descriptions into each model's YAML file.
C. Write a Jinja macro that dynamically generates descriptions based on metadata.
D. Focus on using a version control system and enforce descriptions directly within the source system.

正解：C

解説：
Jinja macros offer flexibility and automation, making them ideal for generating consistent descriptions across many models based on source metadata

質問 # 81
You want to automatically deploy updates to your documentation site hosted on a cloud service whenever changes to your dbt project are committed to your main branch. Which of the following is essential for this setup?

A. Configuring dbt Cloud to trigger documentation deploys.
B. Implementing a CI/CD pipeline that includes dbt build steps.
C. Write a custom script to check for project changes and handle deployment.
D. Enabling webhooks in your Git repository provider.

正解：B、C、D

解説：
A). A CI/CD pipeline is needed to automate running dbt commands and the deployment process. B: Webhooks allow your CIICD system to get notified when changes are pushed to your repository, triggering the pipeline. D: A custom script could provide flexibility for check conditions and deployment logic-

質問 # 82
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