dbt-Analytics-Engineering関連資料 & dbt-Analytics-Engineering合格率

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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:

Section	Objectives
Testing and Data Quality	- Built-in and custom tests 1. Custom SQL tests 2. Generic tests (unique, not null, relationships) - Data validation strategies 1. Schema testing practices 2. CI-based validation workflows
dbt Core Concepts	- Project structure and configuration 1. Packages and dependencies 2. dbt_project.yml configuration - Models and materializations 1. Views, tables, incremental models 2. Ref and source functions
Analytics Engineering Foundations	- Modern data stack concepts (ELT vs ETL) 1. Warehouse-centric transformation workflows 2. Role of dbt in analytics engineering - SQL proficiency for analytics 1. Data modeling in SQL 2. Joins, aggregations, and window functions
Deployment and Orchestration	- Environments and workflows 1. Version control with Git 2. Development vs production environments - Running dbt in production 1. CI/CD integration patterns 2. dbt Cloud and job scheduling
Documentation and Lineage	- Data lineage understanding 1. Dependency tracking with ref() 2. Directed acyclic graph (DAG) - dbt documentation system 1. Model descriptions and metadata 2. Auto-generated docs site

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dbt Labs dbt Analytics Engineering Certification Exam 認定 dbt-Analytics-Engineering 試験問題 (Q205-Q210):

質問 # 205
Which of the following are essential elements of a well-structured pull request description?

A. A concise title summarizing the overall changes.
B. References to related issues in the project tracker, if applicable.
C. Explanations of the reasoning behind major changes and implementation choices.
D. Detailed logs of each Git command used during development.

正解：A、B、C

解説：
A: Clear titles aid quick understanding of the PRs purpose. C: Explanations help reviewers and future developers understand the thought process behind the code. D: Issue references create traceability and context.

質問 # 206
Type Mismatch

A. Use a CAST operation within the affected model's SQL, leaving the underlying source unchanged.
B. Introduce a staging model specifically to perform the type conversion, creating a clean separation.
C. Handle the type conversion with a custom macro and apply it selectively within your dbt project.
D. Modify the source table directly in the database to adjust the data type, ensuring backward compatibility.

正解：B

解説：
A staging model offers the most control and flexibility. Direct source modification risks disrupting other systems. In-model CASTs work but clutter the core logic. Macros are powerful but add complexity.

質問 # 207
dbt Model Snippet

A. The ref() functions arent correctly resolving dependencies.
B. The underlying data types of o.customer_id and c.customer_id mismatch.
C. The logic contained within a custom macro.
D. The presence of filters on the source fct_orders or dim_customers.

正解：D

解説：
Filters on sources frequently cause missing rows in joins. Check your source definitions and any model- level filtering. While the others could be issues, start with the most common cause.

質問 # 208
You want to implement a macro that displays a warning icon next to models in the DAG that haven't been tested. Which of the following would be necessary to make this work?

A. All of the above.
B. The ability for the macro to query the results of test executions from the dbt run-
C. A custom CSS class for the warning icon and a way to apply it dynamically using the macro.
D. Configuration in your dbt_projectyml file to associate models with the relevant tests.

正解：A

解説：
A: You'll need CSS to style the warning icon- B. The macro needs to determine if the associated tests for each model have passed or failed. C: dbt needs a way to understand which tests are related to which models for the macro to function correctly.

質問 # 209
Which two are true about version controlling code with Git?
Choose 2 options.

A. Git automatically creates versions of files with suffixes.
B. All the code changes along the lifecycle of a project are tracked.
C. Git prevents any sensitive fields from being saved in code.
D. Code can be reverted to a previous state.
E. When bugs are raised, email notifications are automatically sent by Git to repository users.

正解：B、D

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 # 210
......

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