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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Analytics Engineering Foundations | - Modern data stack concepts (ELT vs ETL)
|
| Topic 2: Documentation and Lineage | - Data lineage understanding
|
| Topic 3: dbt Core Concepts | - Models and materializations
|
| Topic 4: Testing and Data Quality | - Data validation strategies
|
| Topic 5: Deployment and Orchestration | - Running dbt in production
|
dbt Labs dbt Analytics Engineering Certification Sample Questions:
1. You get the following error when compiling a model:ln 'models/marts/sales_report.sql':
A) Examine your model's SQL and ensure you've defined a column or combination of columns to serve as a unique identifier.
B) Add a config.get("unique_key") entry within your model configuration in dbt_project.yml.
C) Introduce a unit test to assert that the model's output has no duplicate rows.
D) Delete the existing model and create a new one with the materialization set to table.
2. After running dbt docs generate, you notice that your project documentation looks incomplete, and certain details seem to be missing. Which of the following actions could help you troubleshoot the issue?
A) Ensure all relevant model directories are present under the top-level 'models' directory of your dbt project
B) Check if you've unintentionally used the -select flag to limit model inclusion during a previous dbt run.
C) Verify that all your models, sources, seeds, and tests have descriptions where appropriate.
D) Run the dbt clean command to clear out any outdated artifacts.
3. You encounter the following error when running dbt compile:Runtime Error in model customer _ churn (models/transformations/customer_churn.sql)
A) The fct_orders source is not configured correctly in your dbt_project.yml file.
B) There's a typo in how you're referencing the fct_orders object in your SQL.
C) You need to add a schema test to validate the existence of the fct orders table.
D) The fct_orders model depends on other models that haven't compiled successfully.
4. A project is migrating from a staging environment to a production environment within the same data warehouse. However, the production data has more strict access controls. Which approaches could you take to manage this transition?
A) Utilize a secrets management solution and integrate it into your dbt deployment process.
B) Store connection credentials as environment variables and reference them within the profiles.yml using Jinja templating.
C) All of the above.
D) Use separate profiles.yml files for staging and production, each with their respective credentials.
5. Which of the following are essential elements of a well-structured pull request description?
A) Detailed logs of each Git command used during development.
B) Explanations of the reasoning behind major changes and implementation choices.
C) A concise title summarizing the overall changes.
D) References to related issues in the project tracker, if applicable.
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: A,B,C | Question # 3 Answer: B | Question # 4 Answer: C | Question # 5 Answer: B,C,D |
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