dbt-Analytics-Engineering日本語試験対策、dbt-Analytics-Engineering模試エンジン

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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:

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

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dbt-Analytics-Engineering模試エンジン、dbt-Analytics-Engineering関連問題資料

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dbt Labs dbt Analytics Engineering Certification Exam 認定 dbt-Analytics-Engineering 試験問題 (Q107-Q112):

質問 # 107
You're working with a development data warehouse meant to closely mirror production. To make code more portable between environments, you opt to use environment variables for connection details. What's the best way to manage these?

A. Define environment variables as part of your CI/CD tool's job configuration.
B. Set environment variables manually in your shell session prior to running dbt commands.
C. Store sensitive credentials in plain text in the dbt_project.yml file, relying on file system permissions.
D. Use a dedicated secrets manager integrated with your dbt project.

正解：A、D

解説：
B provides the most secure and easily auditable solution. D is essential for automating deployments. A is insecure practice. C is cumbersome and error-prone.

質問 # 108
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 -models +model namel +model name2 ...
B. dbt run followed by dbt test
C. dbt build
D. dbt run -exclude model namel model name2

正解：A

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

質問 # 109
When integrating a new data source, you notice many existing models could benefit from it. What's the most maintainable way to incorporate the new data within a DRY approach?

A. Add the new data source directly to each relevant model's SQL query.
B. Build a snapshot of the new data combined with relevant data from existing models.
C. Create a base model that incorporates the new data source and use the ref() function in downstream models.
D. Establish a naming convention for the new data elements to avoid hardcoding them within model SQL.

正解：C

解説：
A base model serves as a modular point of integration for the new data. The ref() function promotes DRY principles and eases maintenance if the new source structure changes.

質問 # 110
"The compiled SQL looks correct, but I'm still getting wrong results in my model!" What might you suggest to a colleague having this issue?

A. Review the logic in 'on-run-start' or 'on-run-end' hooks, as they could be modifying data-
B. All of the above.
C. Test the model in isolation using the dbt run -select flag to narrow down dependencies.
D. Examine the source tables for data quality issues like duplicates or missing values.

正解：B

解説：
Sometimes, even with correct SQL, the issue can lie in data itself, external interactions, or hidden dependency effects.

質問 # 111
A colleague has introduced a new sensitive column into a source table. You need to update the dbt project documentation accordingly. Which of the following actions should you take?

A. Add the column description and tag it using a custom sensitive tag in the YAML file.
B. Add a clear description of the sensitive column in its corresponding YAML file.
C. Update the source documentation and add references to that documentation in the appropriate model's YAML file
D. Consult your organization's data governance policies and consider additional measures beyond simple documentation.

正解：A、C、D

解説：
B). Tagging sensitive data helps categorize it, allowing for potential filtering or access control within the documentation. C: Handling sensitive data goes beyond simple documentation. Its crucial to follow your organization's data security and governance protocols. D: Referencing source documentation provides full context and traceability of the sensitive data's origin.

質問 # 112
......

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