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Difficulty: Very hardImpact of Automation on Network Management

Match each network management paradigm or mechanism on the left with its corresponding operational impact on enterprise network management on the right.

  • Model-Driven Streaming TelemetryEliminates high CPU overhead from periodic SNMP polling by subscribing to real-time, structured operational updates modeled in YANG.
  • Declarative Configuration ManagementDefines the intended end-state of network policies using data models, allowing automation agents to determine the necessary device commands.
  • Centralized API OrchestrationReplaces manual per-device CLI syntax configuration with uniform, programmatic HTTP/REST operations across the entire infrastructure.
  • Continuous Automated Compliance AuditingPrevents configuration drift by automatically detecting and remediating discrepancies between live device configurations and the version-controlled repository.

Answer

Model-Driven Streaming Telemetry matches with eliminating periodic SNMP polling via real-time YANG subscriptions. Declarative Configuration Management matches with defining the intended end-state policy. Centralized API Orchestration matches with replacing per-device manual CLI configuration with programmatic REST operations. Continuous Automated Compliance Auditing matches with preventing configuration drift against a version-controlled single source of truth.
Each automated management paradigm addresses a key inefficiency of traditional CLI and legacy monitoring. Streaming telemetry converts monitoring from reactive pull-based polling to proactive push-based streaming using YANG schemas. Declarative tools focus on target state definition, allowing automation engines to compute differential changes automatically. Centralized APIs eliminate fragmenting configuration management across hundreds of individual SSH sessions. Automated compliance auditing establishes a deterministic feedback loop between live infrastructure and source control repositories to eliminate configuration drift.

Step-by-Step Solution

1
Analyze the operational role of Model-Driven Streaming Telemetry.
Identified as a push-based telemetry framework using structured YANG models to deliver near real-time operational data without SNMP polling overhead.
Traditional SNMP uses pull-based polling that degrades control plane performance under scale, whereas telemetry streams data continuously.
2
Differentiate between Imperative and Declarative Configuration Management paradigms.
Declarative management describes 'what the network state should be' rather than 'how to execute each CLI step'.
Declarative models allow administrators to define target states in data files (e.g., JSON/YAML) while the controller handles enforcement.
3
Evaluate the operational transition from per-device CLI management to Centralized API Orchestration.
Centralized API orchestration uses northbound/southbound RESTful endpoints to programmatically push changes across many devices simultaneously.
This shifts management from isolated SSH/Telnet sessions to repeatable software-driven transactions.
4
Examine the mechanism for preventing and mitigating configuration drift in automated environments.
Continuous automated compliance tools poll or listen for changes and compare running configurations against a version-controlled single source of truth.
Manual changes lead to state inconsistency (drift); automated auditing detects unauthorized modifications and enforces policy alignment.

Key Concept

Impact of Automation on Network Management Paradigms
Estimated Time:2m 30s
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Impact of Automation on Network Management

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