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HLDsystem_design~10 mins

Write-through and write-back caching in HLD - Interactive Code Practice

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

Complete the code to define the caching policy that writes data to both cache and main storage immediately.

HLD
if cache_policy == [1]:
    write_to_cache(data)
    write_to_storage(data)
Drag options to blanks, or click blank then click option'
Awrite-through
Bread-through
Cwrite-back
Dwrite-around
Attempts:
3 left
💡 Hint
Common Mistakes
Choosing write-back which delays writing to storage.
2fill in blank
medium

Complete the code to define the caching policy that writes data only to cache first and delays writing to storage.

HLD
if cache_policy == [1]:
    write_to_cache(data)
    mark_dirty(data)
Drag options to blanks, or click blank then click option'
Awrite-around
Bwrite-through
Cread-through
Dwrite-back
Attempts:
3 left
💡 Hint
Common Mistakes
Choosing write-through which writes immediately to storage.
3fill in blank
hard

Fix the error in the code to correctly mark data as dirty only in write-back caching.

HLD
if cache_policy == 'write-through':
    write_to_cache(data)
    [1](data)
Drag options to blanks, or click blank then click option'
Amark_dirty
Bwrite_to_storage
Cinvalidate_cache
Dflush_cache
Attempts:
3 left
💡 Hint
Common Mistakes
Using mark_dirty in write-through policy.
4fill in blank
hard

Fill both blanks to complete the code that flushes dirty data from cache to storage and clears the dirty flag.

HLD
if data_is_dirty:
    [1](data)
    [2](data)
Drag options to blanks, or click blank then click option'
Awrite_to_storage
Bmark_dirty
Cclear_dirty_flag
Dinvalidate_cache
Attempts:
3 left
💡 Hint
Common Mistakes
Clearing dirty flag before writing data.
5fill in blank
hard

Fill all three blanks to complete the code that updates cache and handles write-back caching correctly.

HLD
if cache_policy == [1]:
    write_to_cache(data)
    [2](data)
else:
    write_to_cache(data)
    [3](data)
Drag options to blanks, or click blank then click option'
Awrite-through
Bmark_dirty
Cwrite_to_storage
Dwrite-back
Attempts:
3 left
💡 Hint
Common Mistakes
Mixing write-back and write-through actions.

Practice

(1/5)
1. Which caching method writes data to both the cache and main storage immediately to ensure data safety?
easy
A. Read-through caching
B. Write-back caching
C. Write-through caching
D. Lazy caching

Solution

  1. Step 1: Understand write-through caching behavior

    Write-through caching updates both cache and main storage at the same time to keep data consistent.
  2. Step 2: Compare with write-back caching

    Write-back caching delays updating main storage, only writing to cache first for speed.
  3. Final Answer:

    Write-through caching -> Option C
  4. Quick Check:

    Immediate write to both cache and storage = Write-through caching [OK]
Hint: Immediate write to storage means write-through caching [OK]
Common Mistakes:
  • Confusing write-back with write-through
  • Thinking write-back writes immediately to storage
  • Mixing read-through with write caching
2. Which of the following correctly describes write-back caching?
easy
A. Data is written only to cache first, then to main storage later.
B. Data is written to cache and main storage simultaneously.
C. Data is never written to main storage.
D. Data is written only to main storage, skipping cache.

Solution

  1. Step 1: Recall write-back caching process

    Write-back caching writes data to cache first, delaying main storage update for performance.
  2. Step 2: Eliminate incorrect options

    The description of data written to cache and main storage simultaneously matches write-through. The claim that data is never written to main storage is false, as main storage is updated eventually. Writing only to main storage skips the cache, which is incorrect.
  3. Final Answer:

    Data is written only to cache first, then to main storage later. -> Option A
  4. Quick Check:

    Write-back delays main storage write = Data is written only to cache first, then to main storage later. [OK]
Hint: Write-back caches first, writes storage later [OK]
Common Mistakes:
  • Choosing simultaneous write as write-back
  • Assuming main storage is never updated
  • Confusing cache skipping with write-back
3. Consider a system using write-back caching. If a power failure occurs before the cache is flushed to main storage, what is the likely outcome?
medium
A. Some recent data in cache may be lost.
B. All data is safely stored in main storage.
C. Cache and main storage remain fully synchronized.
D. The system automatically switches to write-through caching.

Solution

  1. Step 1: Understand write-back caching risk

    Write-back caches data first and delays writing to main storage, so recent changes may only be in cache.
  2. Step 2: Analyze power failure impact

    If power fails before cache flush, data in cache not yet saved to main storage is lost.
  3. Final Answer:

    Some recent data in cache may be lost. -> Option A
  4. Quick Check:

    Power failure before flush = possible data loss in cache [OK]
Hint: Power loss before flush loses cached data [OK]
Common Mistakes:
  • Assuming all data is safe despite power failure
  • Thinking cache and storage always sync instantly
  • Believing system auto-switches caching modes
4. A developer implemented write-back caching but notices data inconsistencies after crashes. Which fix best addresses this issue?
medium
A. Flush cache to storage less frequently.
B. Switch to write-through caching to update storage immediately.
C. Disable caching entirely.
D. Increase cache size to hold more data.

Solution

  1. Step 1: Identify cause of inconsistencies

    Write-back caching delays storage updates, causing data loss on crashes.
  2. Step 2: Choose solution to ensure data safety

    Switching to write-through caching writes data immediately to storage, preventing inconsistencies.
  3. Final Answer:

    Switch to write-through caching to update storage immediately. -> Option B
  4. Quick Check:

    Immediate storage update fixes inconsistency = Switch to write-through caching to update storage immediately. [OK]
Hint: Immediate writes fix inconsistency in caching [OK]
Common Mistakes:
  • Thinking bigger cache solves data loss
  • Disabling cache reduces speed unnecessarily
  • Flushing less often worsens data loss
5. You are designing a high-performance system that must balance speed and data reliability. Which caching strategy should you choose and why?
Options:
A) Write-through caching for data safety but slower writes.
B) Hybrid approach: write-back with periodic flush and battery-backed cache.
C) Write-back caching for faster writes but risk of data loss.
D) No caching to avoid complexity.
hard
A. Write-through caching for data safety but slower writes.
B. No caching to avoid complexity.
C. Write-back caching for faster writes but risk of data loss.
D. Hybrid approach: write-back with periodic flush and battery-backed cache.

Solution

  1. Step 1: Analyze trade-offs of write-through and write-back

    Write-through is safe but slower; write-back is fast but risks data loss on failure.
  2. Step 2: Consider hybrid approach benefits

    Hybrid uses write-back speed plus periodic flush and battery backup to reduce data loss risk.
  3. Step 3: Evaluate no caching option

    No caching avoids complexity but sacrifices performance, not ideal for high-performance needs.
  4. Final Answer:

    Hybrid approach: write-back with periodic flush and battery-backed cache. -> Option D
  5. Quick Check:

    Balance speed and safety with hybrid caching = Hybrid approach: write-back with periodic flush and battery-backed cache. [OK]
Hint: Hybrid caching balances speed and safety best [OK]
Common Mistakes:
  • Choosing only write-back ignoring data loss
  • Picking no caching sacrificing performance
  • Ignoring battery-backed cache benefits
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