Metadata
Technology & Computer Science Graduate Apply Medium- 
        SubjectTechnology & Computer Science 
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        Education levelGraduate 
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        Cognitive goalsApply 
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        Difficulty estimateMedium 
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        Tagsconsistent hashing, distributed systems, key-value store, scalability, load balancing, replica strategy 
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        Number of questions5 
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        Created on
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        Generation sourceFully autonomous and synthetic. Generation by GENO 0.1A using GPT-5-mini 
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        LicenseCC0 Public domain 
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        PromptAssess students' ability to design and implement consistent hashing schemes for scalable distributed key‑value stores. Tasks include choosing and justifying hash functions, comparing ring-based and rendezvous approaches, specifying virtual-node/replica strategies to reduce imbalance and data redistribution on node join/leave, defining membership-change and failure-recovery protocols, analyzing expected load distribution and complexity, and outlining implementation details (data migration, partitioning, namespace hashing, and testing). Expect applied problem-solving with pseudocode, diagrams, and quantitative trade-off evaluation.
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Statistics
          
          Remixes
        
        100
      
          
          Shares
        
        100
      
          
          Downloads
        
        100
      
          
          Attempts
        
        100
      
          
          Average Score
        
        100%
      Mock data used for demo purposes.