We investigate whether traditional poverty alleviation policies, typically designed for immediate poverty reduction, also enhance households' resilience to future unexpected shocks. We revisit a randomized control trial in Bangladesh which undertook a two year intervention across two rural regions of Bangladesh. Using an improved resilience metric and machine learning methods, we present new findings of the impact of the different poverty alleviation strategies, both at the endline and four years post intervention. Our study reveals that poverty alleviation interventions, such as unconditional cash transfers, and cash or food transfers combined with intensive group-based behavior change communication (BCC), significantly improve resilience compared to pure in-kind transfers. However, these policies are primarily effective in strengthening resilience to extreme poverty. Four years after the intervention, we find some evidence of cash transfers enhancing resilience to extreme poverty. We explain our findings through both short-term coping strategies and long-term adaptive mechanisms.\