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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:

dbt Labs dbt Analytics Engineering Certification Sample Questions:

Question 1

Security best practices dictate that data warehouse access should follow a "least privilege" principle. How would you implement this within dbt environments?

A. Leverage dbt's built-in grants mechanism to fine-tune object-level access within models.
B. Restrict access to sensitive data in development and staging environments using encryption or masking techniques.
C. A combination of the above approaches.
D. Create separate data warehouse user accounts for development, staging, and production, each with minimal required permissions.

Question 2

Your fct_orders model depends on both raw_sales and stg_customers. Due to upstream changes, the customer_id column in raw_sales is now named cust_id. How could you manage this change with minimal disruption?

A. Create an alias for customer_id as cust_id in the stg_customers model.
B. Utilize dbt's ref() function to dynamically adapt to the new column name.
C. Use a dbt source to rename the column in raw sales.
D. Update the fct_orders model to reference cust_id.

Question 3

A model fails with an error similar to:Numeric overflow converting to data type numeric(18,2)

A. Incorrect ref() usage causing cyclical dependencies to occur-
B. Missing permissions to write data to the target table in the warehouse.
C. A timeout issue caused by the model exceeding resource limits.
D. Data within a column exceeding the precision or scale of the defined data type

Question 4

Your company is adopting a "data mesh" philosophy. How might this impact how you structure and use dbt projects?

A. Stricter standardization of syntax and project structure is needed.
B. No change in how dbt works, as it is a technology-agnostic tool.
C. dbt's role becomes less important in a data mesh architecture.
D. Increased focus on decentralized model ownership by domain-specific teams.

Question 5

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. Fork the package and maintain your own custom version indefinitely.
C. Update your packages.yml to point to the new version and immediately refactor all your dependent models.
D. Review the release notes and the migration guide provided by the package maintainers.

Solutions: