dbt Labs dbt-Analytics-Engineering認定試験の準備をすれば勉強方法を教える

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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|
| Topic 1: Data Transformation Techniques | 25% | - Common table expressions and subqueries - Jinja templating - Macros and packages - Refactoring and incremental models
|
| Topic 2: Testing and Documentation | 20% | - Documentation generation - Custom data tests - Schema tests (unique, not_null, accepted_values, relationships) - dbt docs and DAG visualization
|
| Topic 3: dbt Fundamentals | 15% | - dbt workflow and best practices - dbt Core vs dbt Cloud - dbt project structure
|
| Topic 4: Models | 25% | - Snapshots - Materializations (table, view, ephemeral, incremental) - Seeds - Sources and references - Writing and managing SQL models
|
| Topic 5: Deployment and Orchestration | 15% | - Jobs and scheduling in dbt Cloud - Git version control integration - CI/CD with dbt Cloud - Environments (dev, staging, prod)
|
>> dbt-Analytics-Engineering基礎訓練 <<
dbt-Analytics-Engineering認定テキスト & dbt-Analytics-Engineering模試エンジン
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dbt Labs dbt Analytics Engineering Certification Exam 認定 dbt-Analytics-Engineering 試験問題 (Q266-Q271):
質問 # 266
You frequently need to implement custom SQL tests that are very similar but with slight variations in parameters. Which dbt feature could streamline this process?
- A. dbt macros
- B. dbt seeds
- C. The relationships test
- D. dbt snapshots
正解:A
解説:
Macros are ideal for parameterizing reusable test logic, making it easy to adapt the tests without excessive copy-pasting.
質問 # 267
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. Briefly explain in your pull request description that some incidental formatting changes were included
- C. Address the formatting issues in the same commits as the feature to avoid extra work.
- 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 # 268
You discover that dbt models create objects with the default database user's permissions. However, a policy mandates that analytics objects must be owned by a dedicated, less privileged account. How could you adapt your dbt workflow?
- A. Write dbt macros that contain permission management logic as part of the model deployment.
- B. Implement pre-hooks or post-hooks to execute ALTER OWNER statements after model creation.
- C. Modify your dbt profile to use the less privileged account's credentials during job execution.
- D. Configure the target database to automatically assign desired ownership to new objects in the schema
正解:B、C
解説:
A gives direct control within dbt C changes what dbt "does" by running as a different user- B might exist but be too broad, D overcomplicates models.
質問 # 269
A model depends heavily on geospatial calculations, which are computationally expensive. What optimization strategy might be worth exploring?
- A. Pre-calculate common geospatial results as an incremental model.
- B. Ensure the underlying data adheres to DRY principles.
- C. Convert the model to a snapshot to leverage historical data more effectively.
- D. Investigate whether the database offers specialized geospatial indexes or functions.
正解:D
解説:
Optimized database functionality is crucial for complex calculations. While option A could be beneficial, it's important to first utilize database-level optimizations.
質問 # 270
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. Use dbt Is -select
- B. Visually inspect the manifest.json file.
- C. Run dbt docs generate and inspect the generated documentation.
- D. Manually trace the dependencies in your model files.
正解:C
解説:
While other options provide some information, dbt docs generate creates comprehensive documentation including a visual DAG to show execution flow clearly.
質問 # 271
......
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