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The passage identifies a mechanism (engagement optimization) that narrows exposure and a proposed fix (exploration bonuses) that introduce curated novelty. Option C directly implements that remedy: reward the system for surfacing diverse, reputable items, countering homogeneity while maintaining quality. Option A entrenches the problem by doubling down on short-term clicks. Option B worsens it by suppressing novelty. Option D throws away personalization and quality control; randomization may increase diversity but sacrifices relevance, conflicting with the passage’s emphasis on “high-quality items” and “long-run satisfaction.” For Nelson–Denny inference/policy items, map problem → proposed intervention → measured outcome (short-term dip, long-run gain). The best answer aligns with the tested intervention rather than extremes. Recognizing optimization trade-offs (exploration vs. exploitation) is also useful across science/technology passages on the exam.