Could you differentiate between false positive and false negative in the context of statistical hypothesis testing? And could you please explain their implications?

Interview question asked to Machine Learning Engineers interviewing at Criteo, HubSpot, Samsung and others: Could you differentiate between false positive and false negative in the context of statistical hypothesis testing? And could you please explain their implications?.