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Difficulty: Very hardImpact of Automation on Network Management

An organization transitions its enterprise infrastructure to an automated network management framework utilizing programmatic RESTful APIs and declarative configuration templates. During a routine security audit, network engineers observe that out-of-band configuration changes manually made directly on individual switch command-line interfaces are automatically reverted to the intended state within minutes. Additionally, real-time interface statistics are continuously transmitted to a central analytics engine without requiring polling requests. Which statement accurately describes the core operational impact of this automation model on enterprise network management?

  1. It enforces a single source of truth to eliminate configuration drift across managed nodes while providing continuous, low-overhead operational visibility through push-based telemetry.Answer
  2. B
    It relies on periodic HTTP GET requests issued by the central controller to mutate local device state and enforce running configuration updates.
  3. C
    It requires installing proprietary local software agents on all switch hardware to allow centralized agentless SSH orchestration platforms to execute change windows.
  4. D
    It forces managed network devices to parse incoming JSON configuration payloads by interpreting square bracket arrays as root key-value dictionary objects.

Answer

It enforces a single source of truth to eliminate configuration drift across managed nodes while providing continuous, low-overhead operational visibility through push-based telemetry.
Automated network management shifts operational workflows from per-device manual CLI administration to centralized, code-driven orchestration. Storing device configurations in declarative code repositories establishes a single source of truth, enabling automated controllers to detect and override out-of-band configuration drift. Furthermore, replacing pull-based SNMP requests with push-based streaming telemetry provides granular, real-time operational metrics with lower CPU overhead.

Step-by-Step Solution

1
Analyze the impact of declarative automation models on device state.
Declarative automation uses a central repository (version control) as the single source of truth, continuously detecting and reconciling out-of-band CLI changes (configuration drift).
Centralized automation enforces consistency and compliance across the fleet automatically.
2
Evaluate the telemetry mechanism described in the scenario.
Real-time continuous transmission of metrics to an analytics engine without polling describes push-based streaming telemetry.
Streaming telemetry reduces CPU overhead and provides near-real-time operational visibility compared to legacy SNMP polling.
3
Synthesize the operational impact on network management.
Combining drift mitigation via a single source of truth with real-time push telemetry represents the primary operational shift from traditional per-device manual CLI operations to automated management.
This alignment satisfies both operational consistency and modern telemetry requirements.

Key Concept

Impact of Automation on Network Management (Single Source of Truth, Drift Mitigation, and Streaming Telemetry)
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Impact of Automation on Network Management

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