Question

Difficulty: HardImpact of Automation on Network Management

A financial enterprise migrates its multi-site network infrastructure from legacy per-device CLI administration to a centralized configuration management and model-driven telemetry architecture. Which two statements accurately describe the operational impacts of adopting this automation paradigm?

  1. Configuration drift across network switches is minimized through centralized enforcement of declarative data models.Answer
  2. Network health visibility improves because streaming telemetry continuously pushes structured data subscription feeds without relying on periodic pull queries.Answer
  3. C
    Ansible playbooks require permanent agent daemons running inside Cisco IOS XE kernel spaces to execute changes.
  4. D
    Centralized HTTP GET requests automatically mutate device interface states whenever configuration changes are committed.

Answer

The two correct operational impacts are that configuration drift is minimized through centralized enforcement of declarative data models, and network health visibility improves via model-driven streaming telemetry pushing real-time structured data.
Centralized network automation establishes a single source of truth using declarative configuration models, which continuously mitigates configuration drift. Furthermore, replacing legacy SNMP polling with model-driven streaming telemetry enables real-time push subscriptions of structured metrics, significantly improving network visibility and operational efficiency.

Step-by-Step Solution

1
Evaluate the effect of centralized configuration management on device compliance.
Centralized tools compare live configurations against a defined declarative standard, preventing unapproved local modifications and eliminating configuration drift.
Traditional manual CLI edits lead to inconsistent configurations across devices, whereas automated controllers enforce a single source of truth.
2
Evaluate the difference between legacy SNMP polling and model-driven telemetry.
Streaming telemetry pushes data continuously or on event trigger, providing granular visibility with lower CPU overhead compared to periodic SNMP polling.
Telemetry uses subscription models over transport protocols like gRPC/NETCONF to efficiently stream operational stats.
3
Analyze distractor statements for technical accuracy regarding management architecture.
Ansible is agentless (no on-box daemon required), and HTTP GET is strictly a non-mutating read operation.
Identifying agent vs agentless paradigms and standard HTTP/REST CRUD verb behaviors exposes the errors in the wrong options.

Key Concept

Impact of Automation and Model-Driven Telemetry on Enterprise Network Management
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