dbt-Analytics-Engineering認定テキスト & dbt-Analytics-Engineering PDF

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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|
| Implementing dbt Tests | 10% | - Test configuration and execution - Built-in tests - Custom tests
|
| Leveraging dbt State | 5% | - State management - State-aware operations
|
| External Dependencies | 10% | - External sources integration - Using packages - Managing snapshots
|
| Creating and Maintaining Documentation | 10% | - Descriptions and metadata - Generating documentation - Documentation standards
|
| dbt Models Governance | 15% | - Project organization and structure - Version control integration - Naming conventions and standards
|
| Developing dbt Models | 20% | - Model design and structure
- 1. Incremental models
- 2. Ref and source functions
- 3. Materialization types
- Model optimization
- 1. Performance tuning
- 2. Model contracts
|
| Debugging and Error Resolution | 15% | - Debugging techniques - Identifying modeling errors - Resolving data quality issues
|
| Managing Data Pipelines | 15% | - Pipeline orchestration - Deployment strategies - CI/CD integration
|
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dbt Labs dbt Analytics Engineering Certification Exam 認定 dbt-Analytics-Engineering 試験問題 (Q335-Q340):
質問 # 335
Which two are true about version controlling code with Git?
Choose 2 options.
- A. When bugs are raised, email notifications are automatically sent by Git to repository users.
- B. Git automatically creates versions of files with suffixes.
- C. Code can be reverted to a previous state.
- D. Git prevents any sensitive fields from being saved in code.
- E. All the code changes along the lifecycle of a project are tracked.
正解:C、E
解説:
The correct answers are B: All the code changes along the lifecycle of a project are tracked, and E: Code can be reverted to a previous state.
Git is a distributed version control system designed to maintain a complete, chronological history of all code changes. Every commit records who made the change, when it occurred, and what the modification included.
This ensures transparency, reproducibility, and accountability across the development lifecycle, which makes B correct. Git also allows users to revert code to any previous commit, branch, or tag, making E correct as well. This capability is critical for recovering from mistakes, undoing faulty deployments, and ensuring stable releases.
Option A is incorrect because Git does not create file versions with suffixes; instead, it stores changes as snapshots within a repository. File suffixing is not part of Git's functionality.
Option C is incorrect because Git does not automatically send email notifications. Notification mechanisms come from hosting platforms like GitHub, GitLab, or Bitbucket-not from Git itself.
Option D is incorrect because Git does not prevent committing sensitive information. Developers must manually ensure secrets are excluded via .gitignore, secret managers, or pre-commit hooks. Git will store whatever is committed unless prevented through tooling.
Thus, only B and E correctly describe how Git supports version control in analytics engineering and dbt workflows.
質問 # 336
You have a dbt model that performs complex aggregations. During development, you notice some models take excessively long to run, but they ultimately complete without errors. Which of the following might be true?
- A. Downstream models will inherit the performance issues.
- B. These models likely have issues with joins or CTE structure impacting performance.
- C. The models are at risk of failing if the source data grows substantially.
- D. This behavior automatically triggers an optimization feature within dbt.
正解:B、C
解説:
A and B are likely true. Models without errors can still signify potential scaling issues and inefficient logic. C is not necessarily true. Downstream models won't inherit performance issues unless they directly rely on the output of these slow models. D is false. dbt has optimization features, but they often require manual configuration, not automatic triggering.
質問 # 337
You add a new seed file. Here's a snippet of your dbt_project.yml:YAML
- A. Specifying column_types directly under seeds is invalid in a dbt_project_yml.
- B. You cannot enable a seed file using the enabled property.
- C. The "+" is incorrect for nested elements in this context
- D. The syntax within the column_types section is incorrect
正解:A
解説:
column_types config applies to individual seeds, not within the general seeds section. The others might be errors in different scenarios but less likely in this case-
質問 # 338
You try updating a column description using its corresponding YAML file. After regenerating the docs, the update doesn't appear. Which of the following might be the cause?
- A. The column description might need additional configuration with a test for it to render in the docs.
- B. Your browser is aggressively caching the documentation site.
- C. There could be a syntax error within the updated description that dbt is silently ignoring.
- D. Changes in column descriptions only update the database schema, not the project documentation.
正解:B、C
解説:
A: Aggressive browser caching can sometimes prevent updates from being reflected. C: Even small syntax errors in YAML can lead to dbt ignoring certain elements during the documentation generation process.
質問 # 339
Which two configuration items can be defined under models: in your dbt_project.yml file?
Choose 2 options.
- A. test
- B. target
- C. schema
- D. tags
- E. source
正解:C、D
解説:
The correct answers are A: schema and C: tags.
In dbt, the dbt_project.yml file is the central configuration file that defines model-level settings. Under the models: section, you can specify a wide range of model configurations such as schema, materialized, tags, alias, and custom meta fields. The schema configuration allows you to control which database schema a model should be built in, giving analytics engineers the flexibility to organize models by domain or environment. The tags configuration is also valid under models: and is widely used to group models logically for selection, documentation, or orchestration workflows.
Option B (source) is incorrect because sources are defined under YAML files in the sources: section, not under models: in dbt_project.yml. Option D (test) is incorrect because tests must be defined in model or source YAML files, not inside the project configuration. Option E (target) is not a configuration that applies to models; rather, it refers to dbt runtime environments and cannot be configured under the models: block.
dbt's project configuration system ensures that model-level behavior is managed centrally and consistently, and schema and tags are two of the officially supported configuration keys under models:.
質問 # 340
......
調査によると、当社の高く評価されているdbt-Analytics-Engineeringテスト問題の成功は、簡単に操作できる練習システムへの尽力によるものです。候補者から受け取ったフィードバックのほとんどは、dbt-Analytics-Engineeringガイド急流が優れたプラクティスとシステムを実装しているという事実を示しています。また、当社のdbt-Analytics-Engineering試験ダンプでは、鮮明な例と正確なチャートを追加して、直面する可能性のある例外的なケースを刺激しています。 dbt-Analytics-Engineeringテストの質問に頼ることができます。成功するために最善を尽くします。
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