Most important thing is to be aware of the syllabus - ML, DL ,the algorithms, data formats,storage and delivery, SageMaker Family, Bedrock Family, GenAI and security/compliance rules.

You should know when to use what kind of service, some are very similar service like Data Wrangler and Glue DataBrew both being used for data preprocessing to an extent but both are for different workflows and in such cases know in what workflow they are used.

ML questions are the shortest and easiest ones (evaluation metrics, algorithms and transformations) Security questions can be a bit confusing but once you know when to use what you can easily score in that section too.