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200-901 Practice Question: Is a best practice for version controlling large…

Which of the following is a best practice for version controlling large binary files (e.g., network device firmware images) in a Git repository?

⚠ Common exam trap

Cisco often tests the misconception that Git LFS is the universal solution for large files, but the 200-901 exam expects you to recognize that for immutable, externally-managed artifacts like firmware images, a separate artifact repository with metadata references is the recommended best practice over LFS.

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

Avoid storing binary files; use a separate artifact repository and reference the version in metadata

Git is designed for text-based source code with frequent diffs, not large binary files. Storing firmware images directly bloats the repository, slows clones and fetches, and defeats Git's delta compression. Best practice is to use a dedicated artifact repository (e.g., Nexus, Artifactory, or an S3 bucket) and store only a metadata reference (e.g., URL + checksum) in Git, keeping the repository lean and the binary lifecycle managed separately.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Avoid storing binary files; use a separate artifact repository and reference the version in metadata

    Why this is correct

    This keeps the Git repository lean and uses appropriate tools for binary storage.

  • Use Git submodules to reference external storage

    Why it's wrong here

    Submodules are for nested repositories, not for binary artifact management.

  • Compress them and commit as usual

    Why it's wrong here

    This increases repository size and causes slow clones.

  • Store them directly in the repository with LFS (Large File Storage)

    Why it's wrong here

    LFS can help but still stores pointers in Git; a dedicated artifact repository is more standard.

Quick reference

AWS S3 Storage Class Comparison

Storage ClassMin DurationRetrievalUse Case
S3 StandardNoneImmediateFrequently accessed data
S3 Standard-IA30 daysImmediateInfrequent access, rapid retrieval
S3 One Zone-IA30 daysImmediateNon-critical infrequent data
S3 Intelligent-TieringNoneImmediate–hoursUnknown or changing access patterns
S3 Glacier Instant90 daysMillisecondsArchive with instant retrieval
S3 Glacier Flexible90 daysMinutes–hoursArchive, flexible retrieval
S3 Glacier Deep Archive180 daysHoursLong-term compliance archive

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Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

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