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Spring Bootframework~10 mins

Why caching matters for performance in Spring Boot - Test Your Understanding

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Practice - 5 Tasks
Answer the questions below
1fill in blank
easy

Complete the code to enable caching on a Spring Boot method.

Spring Boot
@Cacheable([1])
public String getData() {
    // method logic
}
Drag options to blanks, or click blank then click option'
ACacheable
BcacheManager
C@Cacheable
D"dataCache"
Attempts:
3 left
💡 Hint
Common Mistakes
Using annotation names or variables instead of a string cache name.
2fill in blank
medium

Complete the code to add caching support in a Spring Boot application.

Spring Boot
@SpringBootApplication
@Enable[1]
public class Application {
    public static void main(String[] args) {
        SpringApplication.run(Application.class, args);
    }
}
Drag options to blanks, or click blank then click option'
ACacheable
BCaching
CCacheManager
DCacheConfig
Attempts:
3 left
💡 Hint
Common Mistakes
Using @Cacheable or other cache-related annotations instead of @EnableCaching.
3fill in blank
hard

Fix the error in the caching annotation usage.

Spring Boot
@Cacheable(cacheNames = [1])
public String fetchData() {
    // fetch data logic
}
Drag options to blanks, or click blank then click option'
A"myCache"
BmyCache
CcacheName
Dcache
Attempts:
3 left
💡 Hint
Common Mistakes
Omitting quotes around the cache name causing syntax errors.
4fill in blank
hard

Fill both blanks to create a cache configuration bean.

Spring Boot
@Bean
public CacheManager [1]() {
    return new [2]();
}
Drag options to blanks, or click blank then click option'
AcacheManager
BcacheConfig
CConcurrentMapCacheManager
DSimpleCacheManager
Attempts:
3 left
💡 Hint
Common Mistakes
Using incorrect method names or cache manager classes.
5fill in blank
hard

Fill all three blanks to create a cacheable method with a key.

Spring Boot
@Cacheable(value = [1], key = "#[2]")
public String getUserData([3] userId) {
    // method logic
}
Drag options to blanks, or click blank then click option'
A"userCache"
Bid
CString
DuserId
Attempts:
3 left
💡 Hint
Common Mistakes
Using wrong parameter names or types, or missing quotes around cache name.

Practice

(1/5)
1. Why is caching important in a Spring Boot application?
easy
A. It disables database connections
B. It increases the size of the application
C. It makes the code harder to read
D. It stores results to avoid repeating slow operations

Solution

  1. Step 1: Understand caching purpose

    Caching stores the results of expensive or slow operations so they can be reused later without repeating the work.
  2. Step 2: Identify the benefit in Spring Boot

    By caching method results, Spring Boot avoids repeated slow calls, improving performance.
  3. Final Answer:

    It stores results to avoid repeating slow operations -> Option D
  4. Quick Check:

    Caching improves speed by reusing results [OK]
Hint: Caching saves time by reusing previous results [OK]
Common Mistakes:
  • Thinking caching increases app size negatively
  • Believing caching disables database connections
  • Confusing caching with code complexity
2. Which annotation enables caching on a method in Spring Boot?
easy
A. @Cacheable
B. @CacheEvict
C. @CachePut
D. @EnableCaching

Solution

  1. Step 1: Identify method-level caching annotation

    @Cacheable is used on methods to indicate their results should be cached.
  2. Step 2: Differentiate from other caching annotations

    @EnableCaching enables caching globally, but @Cacheable marks specific methods for caching.
  3. Final Answer:

    @Cacheable -> Option A
  4. Quick Check:

    Method caching uses @Cacheable [OK]
Hint: Use @Cacheable on slow methods to cache results [OK]
Common Mistakes:
  • Confusing @EnableCaching with method-level caching
  • Using @CachePut or @CacheEvict incorrectly for caching results
  • Forgetting to annotate methods with @Cacheable
3. Given this method with caching enabled:
@Cacheable("books")
public Book findBook(String id) {
  simulateSlowService();
  return new Book(id, "Title");
}

What happens when findBook("123") is called twice?
medium
A. The method runs slowly both times
B. The method runs slowly the first time, fast the second time
C. The method runs fast both times
D. The method throws an error on second call

Solution

  1. Step 1: Understand @Cacheable behavior

    The first call runs the method and caches the result. The second call returns the cached result without running the method again.
  2. Step 2: Analyze the call times

    First call is slow due to simulateSlowService(), second call is fast because it uses cache.
  3. Final Answer:

    The method runs slowly the first time, fast the second time -> Option B
  4. Quick Check:

    Cache speeds up repeated calls [OK]
Hint: First call caches result; second call returns cached data [OK]
Common Mistakes:
  • Assuming method runs slowly every time
  • Thinking cache causes errors on repeated calls
  • Believing cache makes all calls fast immediately
4. What is wrong with this Spring Boot caching code?
@Cacheable("users")
public User getUser(int id) {
  return userRepository.findById(id).get();
}

// Missing @EnableCaching annotation in main class
medium
A. The method signature is incorrect
B. The cache name "users" is invalid
C. Caching won't work without @EnableCaching annotation
D. The repository call is wrong

Solution

  1. Step 1: Check caching setup requirements

    Spring Boot requires @EnableCaching on a configuration or main class to activate caching support.
  2. Step 2: Identify missing annotation impact

    Without @EnableCaching, @Cacheable annotations are ignored and caching does not work.
  3. Final Answer:

    Caching won't work without @EnableCaching annotation -> Option C
  4. Quick Check:

    @EnableCaching is required to activate caching [OK]
Hint: Always add @EnableCaching to activate caching [OK]
Common Mistakes:
  • Assuming @Cacheable works without enabling caching
  • Thinking cache name must be special format
  • Believing method signature causes caching failure
5. You have a method that fetches user data from a slow API. You want to cache results but refresh cache every 10 minutes. Which approach best achieves this in Spring Boot?
hard
A. Use @Cacheable and configure cache manager with 10-minute TTL
B. Use @CachePut to update cache on every call
C. Use @CacheEvict to clear cache only on application restart
D. Do not use caching to avoid stale data

Solution

  1. Step 1: Understand caching with expiration

    To refresh cached data periodically, configure the cache manager with a time-to-live (TTL) setting.
  2. Step 2: Match annotation with cache manager config

    @Cacheable caches method results; TTL in cache manager ensures cache expires after 10 minutes automatically.
  3. Final Answer:

    Use @Cacheable and configure cache manager with 10-minute TTL -> Option A
  4. Quick Check:

    TTL + @Cacheable refreshes cache periodically [OK]
Hint: Set TTL in cache manager with @Cacheable for timed refresh [OK]
Common Mistakes:
  • Using @CachePut causes cache update every call, no TTL
  • Relying on @CacheEvict only on restart misses timed refresh
  • Avoiding caching loses performance benefits
Recommended

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10 questions~5 mineasy hard