How does the first moment affect convergence in distribution?

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I have the following problem on my Statistics Problem Set:

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I was able to use the multivariate Delta Method and solve items a) and b). However, I am struggling with items c) and d). Let me present my intuitions:

C) If $\mu_{X} = 0$, then the expected value of the ration of these two sample means is truly $\mu_{X}/\mu_{Y} = 0$ by the Law of Iterated Expectations. However, if this is not the case, Jensen's inequality kicks in and this won't hold anymore. However, I cannot go any further.

D) I have the impression that nothing can be said in this case with little information. I think that this thing won't converge to anything.

Any ideas? Thanks in advance!