CDP exam prep — where do you start with data governance when your background is engineering?

I'm 4 months into preparing for the CDP — Certified Data Professional exam and data governance is the section I'm most uncertain about. My background is data engineering; I've been building pipelines with Spark and dbt for about 5 years. The governance, stewardship, and metadata management content feels abstract in a way the technical domains don't. I'm scoring 79% on technical sections and 58% on governance-related content.

I've been using the DAMA DMBOK as my primary resource but it's genuinely hard to read — well-organized but dense, written as a reference manual rather than as exam prep. I'm doing about an hour a day, 5 days a week, and I've been at it 16 weeks total.

The areas hurting my score most are data quality frameworks and maturity models (not the tools, the frameworks), data lifecycle management, and the distinctions between data steward, data owner, and data custodian. The DMBOK definitions feel different from how those roles actually work at any company I've worked at, which creates confusion on exam questions.

Has anyone found a way to make governance content click beyond rereading DMBOK chapters? I'm open to supplementary resources if they actually help with the exam specifically.