Which of the following practices helps ensure that your dbt project is following best practices?

The practice of conducting regular code reviews and maintaining good documentation practices is essential for ensuring that a dbt project adheres to best practices. Code reviews provide an opportunity for team members to scrutinize each other's work, which can lead to improved code quality, the identification of issues, and the sharing of knowledge among team members. This collaborative process helps maintain coding standards and encourages the use of best practices in writing SQL and configuring dbt models.

Good documentation practices are also critical in a dbt project, as they enable team members to understand the project’s structure and the purpose of models quickly. Documentation fosters better communication and can aid in onboarding new team members. With clear documentation, it becomes easier to track changes over time and to ensure that all stakeholders are aligned with the project's goals and methodologies.

In contrast, other options like reducing the number of models, increasing the complexity of SQL queries, or using only incremental models do not inherently improve adherence to best practices. Reducing the number of models might not lead to better clarity or quality; increasing complexity can hinder readability and maintainability; and while incremental models are beneficial in certain scenarios, relying solely on them may not be the optimal approach for all data transformation needs.