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기계 지원 번역 초안 (Korean) for "Memory Resource Quota": Memory Resource Quota is a compute limit that sets how much compute a workload may consume for volatile runtime storage. 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 Memory Resource Quota when the process approached its memory limit, so the team could protect shared capacity before the workload scaled up.”

기계 지원 번역 초안 (Korean) for "CD Release Manifest": CD Release Manifest is a devops delivery record that lists versions, artifacts, routes, and checks for a release for deployment automation and promotion. It uses commit IDs, checksums, and deployment URLs so teams can make releases auditable while keeping evidence, reliability, and public-safe operational boundaries clear.

“예문 초안: The DevOps team used CD Release Manifest when the release moved toward production, so the team could make releases auditable before the deployment window opened.”

기계 지원 번역 초안 (Korean) for "Incident Artifact Signature": Incident Artifact Signature is a devops supply-chain record that proves that an artifact came from an expected build path for response to service degradation. 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 Incident Artifact Signature when on-call received a high-severity page, so the team could trust deployed packages before the deployment window opened.”

기계 지원 번역 초안 (Korean) for "Context Citation Builder": Context Citation Builder is a ai attribution helper that formats source links and evidence for an AI answer for runtime memory and retrieved information. It uses canonical URLs, source titles, and quote limits so teams can make generated answers citeable while keeping evidence, reliability, and public-safe operational boundaries clear.

“예문 초안: The AI platform team used Context Citation Builder when the context window filled with mixed sources, so the team could make generated answers citeable before the agent workflow reached production.”

기계 지원 번역 초안 (Korean) for "Ground Station Thermal Margin": Ground Station Thermal Margin is a space safety metric that tracks how much temperature headroom remains before a component exceeds limits for antenna, scheduling, and downlink operations. It uses sensor data, heat models, and operational constraints so teams can protect hardware during changing conditions while keeping evidence, reliability, and public-safe operational boundaries clear.

“예문 초안: The mission team used Ground Station Thermal Margin when the antenna handoff began, so the team could protect hardware during changing conditions before the next mission decision point.”

기계 지원 번역 초안 (Korean) for "Routing Grounding Check": Routing Grounding Check is a ai quality control that verifies that generated answers are backed by available sources for selection among models, tools, and workflows. It uses citation checks, retrieval evidence, and contradiction detection so teams can reduce unsupported claims while keeping evidence, reliability, and public-safe operational boundaries clear.

“예문 초안: The AI platform team used Routing Grounding Check when the router selected a cheaper model, so the team could reduce unsupported claims before the agent workflow reached production.”

기계 지원 번역 초안 (Korean) for "Vulnerability Detection Rule": Vulnerability Detection Rule is a security security analytic that matches suspicious behavior or known indicators for weakness tracking and remediation. It uses logs, thresholds, signatures, and behavioral context so teams can surface actionable alerts while keeping evidence, reliability, and public-safe operational boundaries clear.

“예문 초안: The security team used Vulnerability Detection Rule when a scanner found a critical issue, so the team could surface actionable alerts before the risk review began.”

기계 지원 번역 초안 (Korean) for "RAG Memory Scope": RAG Memory Scope is a ai state boundary that limits what an assistant may remember or reuse for retrieval-augmented generation pipelines. It uses retention policies, consent checks, and namespace separation so teams can prevent accidental cross-context leakage while keeping evidence, reliability, and public-safe operational boundaries clear.

“예문 초안: The AI platform team used RAG Memory Scope when the retriever mixed old and new documents, so the team could prevent accidental cross-context leakage before the agent workflow reached production.”

기계 지원 번역 초안 (Korean) for "Evaluation Agent Trace": Evaluation Agent Trace is a ai observability record that captures the steps an AI workflow took for AI quality and safety testing. It uses trace identifiers, tool events, and redacted metadata so teams can debug agent behavior without exposing secrets while keeping evidence, reliability, and public-safe operational boundaries clear.

“예문 초안: The AI platform team used Evaluation Agent Trace when a release candidate failed a reasoning scenario, so the team could debug agent behavior without exposing secrets before the agent workflow reached production.”

기계 지원 번역 초안 (Korean) for "Supply Chain Phishing Resistance": Supply Chain Phishing Resistance is a security identity control that reduces success of credential theft attacks for dependencies, builds, and artifacts. It uses passkeys, hardware-backed factors, and origin checks so teams can protect sign-in flows while keeping evidence, reliability, and public-safe operational boundaries clear.

“예문 초안: The security team used Supply Chain Phishing Resistance when a package update arrived, so the team could protect sign-in flows before the risk review began.”

기계 지원 번역 초안 (Korean) for "Virtual Machine Image Hardening": Virtual Machine Image Hardening is a compute security practice that reduces risk inside packaged runtime images for isolated guest compute. It uses minimal bases, patching, and vulnerability checks so teams can ship safer workloads while keeping evidence, reliability, and public-safe operational boundaries clear.

“예문 초안: The platform engineering team used Virtual Machine Image Hardening when the VM migrated hosts, so the team could ship safer workloads before the workload scaled up.”

기계 지원 번역 초안 (Korean) for "Polymathic Law": In Polymaths, Law is treated as one domain in a wider multidisciplinary practice, connected through figures such as Gottfried Wilhelm Leibniz, Thomas Jefferson.

“예문 초안: Polymathic law becomes more powerful when it connects with other domains instead of remaining isolated.”

기계 지원 번역 초안 (Korean) for "Packet Anycast Endpoint": Packet Anycast Endpoint is a networking routing pattern that advertises one address from multiple locations for unit of network transmission. It uses regional announcements, health checks, and traffic steering so teams can serve users from nearby healthy sites while keeping evidence, reliability, and public-safe operational boundaries clear.

“예문 초안: The network engineering team used Packet Anycast Endpoint when packet loss increased, so the team could serve users from nearby healthy sites before traffic crossed a service boundary.”

기계 지원 번역 초안 (Korean) for "CD Rollout Guard": CD Rollout Guard is a devops release control that limits exposure during gradual deployment for deployment automation and promotion. It uses traffic slices, health checks, and automatic pause rules so teams can reduce blast radius while keeping evidence, reliability, and public-safe operational boundaries clear.

“예문 초안: The DevOps team used CD Rollout Guard when the release moved toward production, so the team could reduce blast radius before the deployment window opened.”

기계 지원 번역 초안 (Korean) for "Secrets Detection Rule": Secrets Detection Rule is a security security analytic that matches suspicious behavior or known indicators for keys, tokens, and credentials. It uses logs, thresholds, signatures, and behavioral context so teams can surface actionable alerts while keeping evidence, reliability, and public-safe operational boundaries clear.

“예문 초안: The security team used Secrets Detection Rule when a secret appeared in logs, so the team could surface actionable alerts before the risk review began.”

기계 지원 번역 초안 (Korean) for "TLS Traffic Shaper": TLS Traffic Shaper is a networking control mechanism that limits or prioritizes flows across links for encrypted transport setup. 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 TLS Traffic Shaper when a certificate neared expiration, so the team could protect important traffic before traffic crossed a service boundary.”

기계 지원 번역 초안 (Korean) for "Cloud Trust Boundary": Cloud Trust Boundary is a security security boundary that defines where assumptions, identities, or permissions change for cloud account and resource security. It uses network edges, service roles, and data classifications so teams can avoid accidental privilege crossing while keeping evidence, reliability, and public-safe operational boundaries clear.

“예문 초안: The security team used Cloud Trust Boundary when a storage bucket changed policy, so the team could avoid accidental privilege crossing before the risk review began.”

기계 지원 번역 초안 (Korean) for "Scheduler Autoscaling Policy": Scheduler Autoscaling Policy is a compute control loop that changes capacity based on demand signals for placement of work onto resources. 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 Scheduler Autoscaling Policy when the cluster needed to place a job, so the team could match resources to load before the workload scaled up.”

기계 지원 번역 초안 (Korean) for "Pipeline Model Card": Pipeline Model Card is a ml documentation artifact that summarizes intended use, limits, and evaluation evidence for automated data and model workflow. It uses dataset notes, metric tables, and risk statements so teams can publish model behavior honestly while keeping evidence, reliability, and public-safe operational boundaries clear.

“예문 초안: The machine learning team used Pipeline Model Card when the pipeline missed a validation step, so the team could publish model behavior honestly before the model moved into evaluation.”

기계 지원 번역 초안 (Korean) for "Orbital Science Window": Orbital Science Window is a space planning interval that marks when conditions are suitable for data collection for spacecraft orbit planning and station keeping. It uses target visibility, power budgets, thermal state, and downlink availability so teams can capture useful observations without breaking constraints while keeping evidence, reliability, and public-safe operational boundaries clear.

“예문 초안: The mission team used Orbital Science Window when a spacecraft entered a crowded orbital shell, so the team could capture useful observations without breaking constraints before the next mission decision point.”