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Redis Cache in Java Test
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Redis Cache in Java Test

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Redis Cache in Java Test

Redis is the Remote Dictionary Server and is an open-source, in-memory data structure store primarily used as a database, cache, or message broker. Redis is mainly responsible for loading the data from memory instead of from the disk. This usually helps to make it faster than other traditional database solutions. 

Under Redis, there also comes Jcache known as Java-Distributed Cache, a caching API for Java that allows the developers to temporarily store, retrieve, and update objects from a cache. Redis cache in Java test helps tech recruiters and hiring managers to assess a candidate's ability to implement Redis cache for Java applications. 

Technical test on Redis distributed cache in Java is designed by experienced subject matter experts (SMEs) to evaluate and hire a Redis expert as per the industry standards.

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How it works

Test Summary

Redis Cache in Java test helps to screen the candidates who possess traits as follows:


  • Ability to implement Redis cache in Java applications
  • Ability to work with caching and in-memory data architectures
  • Excellent knowledge of caching strategies with JCache
  • Familiarity with Redis keyspace notifications, ​Redis as an LRU cache, Lettuce - Redis discovery, etc


Redis cache in Java test has a robust reporting feature that will help you get an instant result and an option to share this result with your recruiting team. You can analyze section wise performance of candidates to gauge their strengths and weaknesses and select job-fit candidates quickly.

This test may contain MCQs (Multiple Choice Questions), MAQs (Multiple Answer Questions), Fill in the Blanks, Whiteboard Questions, Audio/Video Questions, AI-LogicBox (AI-based Pseudo-Coding Platform), Job-based Simulations, True or False Questions, etc.  

Useful for hiring
  • Redis Caching Lead
  • Data Caching Support
  • Core Java Developer - Redis
  • Redis Developer
  • Redis Expert
Test Duration
No. of Questions
Level of Expertise
Topics Covered

Lettuce - transforming publishers

Scheduling in Lettuce


Lettuce - Redis Discovery


Lettuce - Consuming futures


Command Routing in Lettuce


Lettuce command method interface

Sample Question
Choose from our 100,000+ questions library or add your own questions to make powerful custom tests.
Question type
Multiple Option
Topics covered
Lettuce - transforming publishers


The code given below uses the aggregate function of reduce() transformation to aggregate values in Lettuce.
What will be the result of executing this code?

Flux.just("A", "B", "C")
    .reduce((sum, current) -> sum + current)
    .subscribe(result -> System.out.println("Number of elements in sets: " + result));


  • You get the last value, which denotes the final result containing the number of elements in all Redis sets.
  • You get the count of the number of elements in multiple Redis sets.
  • You get the count of the number of elements in a single Redis set.
  • None of the options.
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Test Report
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