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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:

dbt Labs dbt Analytics Engineering Certification Sample Questions:

1. A package you depend on has released a major update with breaking changes. How might you approach the migration?

A) Pin the package to the older version in your packages.yml file and plan a controlled migration.
B) Review the release notes and the migration guide provided by the package maintainers.
C) Fork the package and maintain your own custom version indefinitely.
D) Update your packages.yml to point to the new version and immediately refactor all your dependent models.

2. You encounter a runtime error: "Column 'order_date' not found in the target relation". You examine your model and see:SQL

A) Check if the fct_orders model or source actually includes an 'order_date' column.
B) Verify that your Jinja templating in other models isn't interfering with column names.
C) Review the fct_orders model's SQL logic to see if it unintentionally removes or renames the 'order_date' column.
D) Ensure there are no downstream models that could be altering the 'fct_orders' table.

3. You've created a complex lineage macro, and you want to include unit tests for the macro logic itself. How might you approach this?

A) Include test cases for the macro within your model-level schema.yml files.
B) Currently, there is no standard way to directly unit test macros within a dbt project
C) Utilize dbt's built-in macro testing framework.
D) Write a Jinja script that programmatically tests various input/output scenarios of your macro.

4. You're working with highly sensitive production data that contains personally identifiable information (PII). How would this impact the design of your dbt project environments?

A) Potentially create separate, lower-level environments with obfuscated, anonymized, or synthetic datasets for broader development.
B) All of the above.
C) Employ data masking or tokenization techniques within dbt models that process sensitive data.
D) Implement strict access controls ensuring only authorized individuals can access production environments.

5. You're onboarding a new team member and need to set them up with a personal sandbox environment within your existing project. What factors do you need to consider?

A) How to provision data warehouse resources if needed, such as a separate schema or potentially even a dedicated database.
B) All of the above.
C) Whether they need access to production data replicas and how to control this securely
D) How to configure a profile on their machine and guide them to isolate changes to their sandbox.

Solutions: