Struggling with the NLP certification exam — how did you actually pass it?
So I've been studying for the NLP certification for about six weeks now and honestly I'm starting to second-guess myself. I have a decent background in Python and some ML basics, but the breadth of topics is killing me. I get the fundamentals — what is nlp, tokenization, POS tagging — but then it throws stuff like retrieval-augmented generation for knowledge-intensive nlp tasks and I feel completely lost. Like, I didn't even know RAG was going to be on this thing.
My mock scores are hovering around 61-64% and I need at least 75% to pass. The sentiment analysis section is actually where I'm losing the most points, which is embarrassing because nlp for sentiment analysis is supposedly one of the more approachable topics. I've been using NLP Test 4 to drill the weaker areas and it's helping a bit, but I'm not sure if I'm studying the right things or just spinning my wheels. Anyone who's passed this recently — what actually moved the needle for you?
I've got about three more weeks before my exam date. Realistically trying to get to 80%+ so there's some cushion. Any specific resources, topic priorities, or study schedules would be genuinely appreciated.