Prepare with dbt Labs dbt-Analytics-Engineering exam practice material, pass for sure
Updated: Jul 01, 2026
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dbt Labs dbt Analytics Engineering Certification Sample Questions:
1. You need to build a model to identify customers who haven't placed orders in the past 90 days. Performance with this model is critical, as it will trigger a re-engagement campaign. Which strategy is likely to yield the best results?
A) Create a materialized view that contains only active customers and join against the orders table.
B) Filter the orders table for dates within the past 90 days, then find customers without corresponding order IDs.
C) Join the customers and orders table, group by customer ID and use a HAVING clause to filter inactive customers.
D) IJse a window function to rank order dates for each customer and filter those where the most recent order is older than 90 days.
2. You want to automatically deploy updates to your documentation site hosted on a cloud service whenever changes to your dbt project are committed to your main branch. Which of the following is essential for this setup?
A) Implementing a CI/CD pipeline that includes dbt build steps.
B) Configuring dbt Cloud to trigger documentation deploys.
C) Enabling webhooks in your Git repository provider.
D) Write a custom script to check for project changes and handle deployment.
3. When integrating a new data source, you notice many existing models could benefit from it. What's the most maintainable way to incorporate the new data within a DRY approach?
A) Build a snapshot of the new data combined with relevant data from existing models.
B) Add the new data source directly to each relevant model's SQL query.
C) Create a base model that incorporates the new data source and use the ref() function in downstream models.
D) Establish a naming convention for the new data elements to avoid hardcoding them within model SQL.
4. A downstream process relies on a critical model to be fully refreshed daily. How can you enforce this behavior using dbt_project.yml configuration?
A) Set the model's materialized property to incremental _ refresh-
B) Configure a schedule property within the models: section.
C) Apply a post-hook that triggers a full refresh of the model.
D) Update the model configuration to materialized: table and add a persist_docs: true property.
5. You've defined development, staging, and production targets in your dbt project. You want to prevent accidental execution of destructive model materialization strategies (like drop or truncate) on the production target. How could you achieve this?
A) Rely purely on thorough code reviews to prevent execution of these commands in production.
B) Implement a CI/CD process that includes checks to prevent specific dbt commands from running in the production environment
C) Create a separate profiles.yml file for production that disables dangerous materialization strategies.
D) Write a custom macro that only executes such operations on non-production targets.
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: A,C,D | Question # 3 Answer: C | Question # 4 Answer: C | Question # 5 Answer: B,D |
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