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| Section | Objectives |
|---|
| Deployment and Orchestration | - Running dbt in production
- 1. dbt Cloud and job scheduling
- 2. CI/CD integration patterns
- Environments and workflows
- 1. Version control with Git
- 2. Development vs production environments
|
| Documentation and Lineage | - Data lineage understanding
- 1. Dependency tracking with ref()
- 2. Directed acyclic graph (DAG)
- dbt documentation system
- 1. Auto-generated docs site
- 2. Model descriptions and metadata
|
| Analytics Engineering Foundations | - SQL proficiency for analytics
- 1. Joins, aggregations, and window functions
- 2. Data modeling in SQL
- Modern data stack concepts (ELT vs ETL)
- 1. Role of dbt in analytics engineering
- 2. Warehouse-centric transformation workflows
|
| 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 | - Models and materializations
- 1. Views, tables, incremental models
- 2. Ref and source functions
- Project structure and configuration
- 1. dbt_project.yml configuration
- 2. Packages and dependencies
|
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dbt Labs dbt Analytics Engineering Certification Exam Sample Questions (Q30-Q35):
NEW QUESTION # 30
A new stakeholder needs to receive an email report generated from the results of a specific dbt model. Unfortunately, your Bl tool doesn't directly integrate with dbt. How could you address this?
- A. Modify the model to output a CSV file and schedule a task to email the file as an attachment
- B. Within the model's SQLi write logic to insert the output data into a dedicated reporting table-
- C. Develop a separate script, triggered after the dbt job, to handle report generation and emailing-
- D. Write a post-hook that queries the model, formats the results, and sends the email.
Answer: B,C,D
Explanation:
Each provides a means to get the data outA does it within dbt workflow B uses an external tool for the non- dbt task. C leaves the data ready for other tools. D is clumsy and adds storage overhead.
NEW QUESTION # 31
A new feature you're developing requires significant changes across multiple models in your dbt project. Which branching strategy would be the most suitable and why?
- A. Create a feature branch for the new development to isolate your work.
- B. Avoid using branches altogether, as they can introduce unnecessary complexity into a dbt workflow
- C. Create separate branches for each model you'll be modifying to minimize conflicts.
- D. Work directly on the main branch, as it ensures your changes are always up-to-date.
Answer: A
Explanation:
Feature branches provide a dedicated workspace allowing you to work on changes without impacting the stability of the main branch. This is vital for larger changesets.
NEW QUESTION # 32
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. Changes in column descriptions only update the database schema, not the project documentation.
- C. There could be a syntax error within the updated description that dbt is silently ignoring.
- D. Your browser is aggressively caching the documentation site.
Answer: C,D
Explanation:
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.
NEW QUESTION # 33
While reviewing a dbt project, you notice a pattern where ref() calls are chained together:
Model A references Model B, which in turn references Model C.
What's a potential downside of this pattern?
- A. Test results might become less reliable.
- B. Model dependencies become harder to track and understand.
- C. Decreased performance due to unnecessary materializations.
- D. Version control conflicts become more likely.
Answer: B
Explanation:
While chaining ref() calls works technically, it can quickly make dependency tracking overly complex, especially in larger projects.
NEW QUESTION # 34
You get a compilation error: "Configuration key 'enabled' not found". Where in your dbt_project.yml would you start looking to fix this, and why?
- A. Under a specific source definition, as sources can also sometimes be conditionally enabled.
- B. Within the models section, as models often use the enabled property.
- C. In a seeds.yml file or the seeds section, where enabled is a valid property.
- D. In the top-level profiles.yml, as the enabled key is specific to setting up project profiles.
Answer: B
Explanation:
Since it's a generic error, start with the most common location - model configurations. The others might be valid in certain scenarios.
NEW QUESTION # 35
......
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