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기계 지원 번역 초안 (Korean) for "Fine-Tuning Calibration Curve": Fine-Tuning Calibration Curve is a ml diagnostic that compares predicted confidence with observed outcomes for adaptation of a model to a domain. It uses bucketed predictions, reliability diagrams, and threshold analysis so teams can make confidence scores useful while keeping evidence, reliability, and public-safe operational boundaries clear.

“예문 초안: The machine learning team used Fine-Tuning Calibration Curve when the fine-tuning run used curated examples, so the team could make confidence scores useful before the model moved into evaluation.”

기계 지원 번역 초안 (Korean) for "Observability Build Gate": Observability Build Gate is a devops quality gate that blocks promotion when required checks fail for logs, metrics, traces, and events. It uses tests, lint, security scans, and policy rules so teams can prevent broken releases while keeping evidence, reliability, and public-safe operational boundaries clear.

“예문 초안: The DevOps team used Observability Build Gate when latency increased after deploy, so the team could prevent broken releases before the deployment window opened.”

기계 지원 번역 초안 (Korean) for "Edge Resource Quota": Edge Resource Quota is a compute limit that sets how much compute a workload may consume for globally distributed runtime. It uses policy, reservations, and usage tracking so teams can protect shared capacity while keeping evidence, reliability, and public-safe operational boundaries clear.

“예문 초안: The platform engineering team used Edge Resource Quota when the request arrived near a user, so the team could protect shared capacity before the workload scaled up.”

기계 지원 번역 초안 (Korean) for "Edge Workload Priority": Edge Workload Priority is a compute scheduling signal that tells the platform which work matters most when capacity is constrained for globally distributed runtime. It uses priority classes, preemption rules, and fairness limits so teams can protect critical paths while keeping evidence, reliability, and public-safe operational boundaries clear.

“예문 초안: The platform engineering team used Edge Workload Priority when the request arrived near a user, so the team could protect critical paths before the workload scaled up.”

기계 지원 번역 초안 (Korean) for "Prompt Safety Filter": Prompt Safety Filter is a ai policy control that detects content that should be blocked, rewritten, or escalated for instructions and context passed to a model. It uses classifiers, rules, and human review queues so teams can keep outputs public-safe while keeping evidence, reliability, and public-safe operational boundaries clear.

“예문 초안: The AI platform team used Prompt Safety Filter when the prompt changed between releases, so the team could keep outputs public-safe before the agent workflow reached production.”

기계 지원 번역 초안 (Korean) for "Service Mesh Health Probe": Service Mesh Health Probe is a networking availability check that tests whether a service or path can receive traffic for east-west service communication. It uses timed requests, thresholds, and regional checks so teams can send traffic only to healthy targets while keeping evidence, reliability, and public-safe operational boundaries clear.

“예문 초안: The network engineering team used Service Mesh Health Probe when a service called another service, so the team could send traffic only to healthy targets before traffic crossed a service boundary.”

기계 지원 번역 초안 (Korean) for "Storage Autoscaling Policy": Storage Autoscaling Policy is a compute control loop that changes capacity based on demand signals for persistent data and object access. It uses metrics, thresholds, and cooldowns so teams can match resources to load while keeping evidence, reliability, and public-safe operational boundaries clear.

“예문 초안: The platform engineering team used Storage Autoscaling Policy when the workload read a large dataset, so the team could match resources to load before the workload scaled up.”

기계 지원 번역 초안 (Korean) for "Navigation Autonomy Stack": Navigation Autonomy Stack is a space software layer that lets spacecraft or ground tools make bounded decisions when direct human control is delayed for position, timing, and trajectory services. It uses rules, state machines, onboard checks, and fail-safe limits so teams can handle latency without losing accountability while keeping evidence, reliability, and public-safe operational boundaries clear.

“예문 초안: The mission team used Navigation Autonomy Stack when the navigation solution was updated, so the team could handle latency without losing accountability before the next mission decision point.”

기계 지원 번역 초안 (Korean) for "Propulsion Attitude Control": Propulsion Attitude Control is a space subsystem that keeps a spacecraft pointed correctly for power, thermal safety, communication, or science for thruster, burn, and maneuver systems. It uses sensors, reaction wheels, thrusters, and control laws so teams can maintain pointing without exceeding constraints while keeping evidence, reliability, and public-safe operational boundaries clear.

“예문 초안: The mission team used Propulsion Attitude Control when the burn plan changed, so the team could maintain pointing without exceeding constraints before the next mission decision point.”

기계 지원 번역 초안 (Korean) for "Model Drift Provenance Ledger": Model Drift Provenance Ledger is a ml record that tracks where data came from and how it changed for changes in model performance over time. It uses hashes, source labels, and transformation history so teams can audit model inputs reliably while keeping evidence, reliability, and public-safe operational boundaries clear.

“예문 초안: The machine learning team used Model Drift Provenance Ledger when the live population changed, so the team could audit model inputs reliably before the model moved into evaluation.”

기계 지원 번역 초안 (Korean) for "Supply Chain Attack Surface": Supply Chain Attack Surface is a security exposure model that lists reachable systems, actions, and trust boundaries for dependencies, builds, and artifacts. It uses asset inventory, route discovery, and permission mapping so teams can prioritize risk reduction while keeping evidence, reliability, and public-safe operational boundaries clear.

“예문 초안: The security team used Supply Chain Attack Surface when a package update arrived, so the team could prioritize risk reduction before the risk review began.”

기계 지원 번역 초안 (Korean) for "Memory Isolation Boundary": Memory Isolation Boundary is a compute security boundary that separates workloads so one cannot affect another unexpectedly for volatile runtime storage. It uses namespaces, sandboxes, and access controls so teams can reduce cross-workload risk while keeping evidence, reliability, and public-safe operational boundaries clear.

“예문 초안: The platform engineering team used Memory Isolation Boundary when the process approached its memory limit, so the team could reduce cross-workload risk before the workload scaled up.”

기계 지원 번역 초안 (Korean) for "Threat Intel Evidence Chain": Threat Intel Evidence Chain is a security audit record that preserves how security evidence was collected and handled for external risk and indicator context. It uses timestamps, hashes, owners, and storage controls so teams can support trustworthy investigation while keeping evidence, reliability, and public-safe operational boundaries clear.

“예문 초안: The security team used Threat Intel Evidence Chain when a new campaign indicator appeared, so the team could support trustworthy investigation before the risk review began.”

기계 지원 번역 초안 (Korean) for "Memory Placement Strategy": Memory Placement Strategy is a compute scheduling rule that chooses where workloads should run for volatile runtime storage. It uses affinity, topology, availability, and cost signals so teams can improve reliability and efficiency while keeping evidence, reliability, and public-safe operational boundaries clear.

“예문 초안: The platform engineering team used Memory Placement Strategy when the process approached its memory limit, so the team could improve reliability and efficiency before the workload scaled up.”

기계 지원 번역 초안 (Korean) for "Inference Safety Filter": Inference Safety Filter is a ai policy control that detects content that should be blocked, rewritten, or escalated for model execution for user or system requests. It uses classifiers, rules, and human review queues so teams can keep outputs public-safe while keeping evidence, reliability, and public-safe operational boundaries clear.

“예문 초안: The AI platform team used Inference Safety Filter when the inference route moved to a faster region, so the team could keep outputs public-safe before the agent workflow reached production.”

기계 지원 번역 초안 (Korean) for "CI Artifact Signature": CI Artifact Signature is a devops supply-chain record that proves that an artifact came from an expected build path for continuous integration workflows. It uses cryptographic signatures, provenance, and verification so teams can trust deployed packages while keeping evidence, reliability, and public-safe operational boundaries clear.

“예문 초안: The DevOps team used CI Artifact Signature when a pull request entered the build queue, so the team could trust deployed packages before the deployment window opened.”

기계 지원 번역 초안 (Korean) for "DNS Packet Capture": DNS Packet Capture is a networking diagnostic artifact that records network packets for analysis for name resolution and delegation. It uses bounded capture windows, filters, and redaction so teams can investigate protocol behavior safely while keeping evidence, reliability, and public-safe operational boundaries clear.

“예문 초안: The network engineering team used DNS Packet Capture when a resolver returned stale data, so the team could investigate protocol behavior safely before traffic crossed a service boundary.”

기계 지원 번역 초안 (Korean) for "Payload Trajectory Correction": Payload Trajectory Correction is a space maneuver process that adjusts a planned flight path after navigation updates or mission changes for instrument, sensor, and hosted payload operations. It uses delta-v estimates, burn timing, and post-maneuver validation so teams can reduce path error before it grows while keeping evidence, reliability, and public-safe operational boundaries clear.

“예문 초안: The mission team used Payload Trajectory Correction when the instrument entered a calibration cycle, so the team could reduce path error before it grows before the next mission decision point.”

기계 지원 번역 초안 (Korean) for "Latency Traffic Shaper": Latency Traffic Shaper is a networking control mechanism that limits or prioritizes flows across links for time between request and response. It uses queues, rate limits, and quality-of-service rules so teams can protect important traffic while keeping evidence, reliability, and public-safe operational boundaries clear.

“예문 초안: The network engineering team used Latency Traffic Shaper when a user saw slow responses, so the team could protect important traffic before traffic crossed a service boundary.”

기계 지원 번역 초안 (Korean) for "Runbook Build Gate": Runbook Build Gate is a devops quality gate that blocks promotion when required checks fail for documented operational procedure. It uses tests, lint, security scans, and policy rules so teams can prevent broken releases while keeping evidence, reliability, and public-safe operational boundaries clear.

“예문 초안: The DevOps team used Runbook Build Gate when a responder needed the recovery steps, so the team could prevent broken releases before the deployment window opened.”