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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: dbt Fundamentals | 15% | - dbt Core vs dbt Cloud - dbt workflow and best practices - dbt project structure |
| Topic 2: Deployment and Orchestration | 15% | - CI/CD with dbt Cloud - Jobs and scheduling in dbt Cloud - Environments (dev, staging, prod) - Git version control integration |
| Topic 3: Data Transformation Techniques | 25% | - Jinja templating - Common table expressions and subqueries - Refactoring and incremental models - Macros and packages |
| Topic 4: Models | 25% | - Sources and references - Snapshots - Writing and managing SQL models - Materializations (table, view, ephemeral, incremental) - Seeds |
| Topic 5: Testing and Documentation | 20% | - Custom data tests - Schema tests (unique, not_null, accepted_values, relationships) - dbt docs and DAG visualization - Documentation generation |
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NEW QUESTION # 132
You've merged a pull request but later discover it introduced a regression (unexpectedly broke existing functionality). What's the most common initial step to address this?
Answer: A,D
Explanation:
C: Understanding the origin of the regression is crucial for fixing it. D: Collaborating with the original author might provide insights or streamline the fix.
NEW QUESTION # 133
You need to grant readonly access to a new stakeholder on a specific dbt model's output. What factors should influence your approach?
Answer: A,C,D
Explanation:
Each of these shapes the specific implementation-A impacts how you'll write the GRANT. B is about a layer of control. C is about ad-hoc vs. integrated security.
NEW QUESTION # 134
You are working with git to version control the dbt logic.
Order these steps to add or modify transformations to your dbt project.
Answer:
Explanation:
* Create a new branch in git and switch to itB. Update the dbt code according to the new logic
C. Create a Pull / Merge RequestD. Run some automated CI checks and/or manual review of the updated codeE. Merge the updated code to the main git branch
* Version control best practices in dbt follow the same engineering workflow used in modern software development. The first step is always to create a new git branch and switch into it, ensuring all work is isolated from production-ready code and allowing your team to develop safely without affecting others.
Once inside the feature branch, you update the dbt code according to the new logic, which may include modifying models, tests, macros, or documentation.
* Next, you create a Pull Request (PR), also known as a Merge Request, to propose integrating your changes into the main branch. This is important because dbt projects are collaborative, and PRs facilitate peer review, enforce project standards, and prevent regressions. Once the PR is created, automated CI pipelines-such as running dbt build, schema tests, data quality checks, and code-style checks-are executed. Reviewers may also manually inspect code for logic correctness, naming conventions, and modeling consistency.
* After all checks have passed and reviewers approve the PR, the final step is to merge the updated code into the main branch, making the new transformations part of the production dbt project. This workflow ensures governance, reliability, and auditable development practices, all of which are core principles in analytics engineering.
NEW QUESTION # 135
You've defined a model as follows:SQL
Answer: C
Explanation:
While the others might cause problems, this error message strongly indicates a database- level type incompatibility, not a dbt-specific issue.
NEW QUESTION # 136
Which two are true about version controlling code with Git?
Choose 2 options.
Answer: B,C
Explanation:
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.
NEW QUESTION # 137
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