Arista ACE-S Automation (Foundations) case studies
Arista ACE-S Automation (Foundations) · Put your knowledge to work in context.
The Arista Certified Engineer – Specialist (Automation) credential, commonly abbreviated ACE-S, is positioned as a specialist-level certification focused on network automation within Arista environments. This study page is an independent preparation resource for candidates planning to sit the ACE-S Automation (Foundations) exam; it is not affiliated with, endorsed by, or sponsored by Arista, and it does not reproduce any official exam content. The Arista ACE-S Automation (Foundations) case studies are 5 cases and about 2,029 words.
1Rolling Out a Configlet to a Mixed-Firmware Leaf Pair
You manage a two-leaf MLAG pair, leaf1 and leaf2, running EOS 4.29.2F and 4.31.1F respectively. Both are in the same CloudVision container and the same configlet builder scope.
483 words, about 2 min2Choosing Between eAPI and gNMI for a Bulk VLAN Audit
You need to audit VLAN-to-port assignments across 120 switches every 15 minutes and store the results. Your team already has a Python library that speaks JSON-RPC over HTTPS to EOS eAPI and is well tested.
394 words, about 2 min3Change Control Fails Mid-Rollout on a Spine
You are rolling out a new BGP neighbor policy to 6 spines via a CloudVision change control. The change control has 6 tasks, one per device, executed sequentially.
414 words, about 2 min4Streaming Telemetry Shows Gaps Under Load
You have configured gNMI streaming telemetry from 40 leaf switches to a collector, subscribing to interface counters at a 10-second interval. During peak hours, the collector shows gaps: some devices report every 10s, others every 30-60s, and a few stop for minutes.
401 words, about 2 min5Alert Fatigue from Interface Flap Monitoring
Your CloudVision / telemetry stack alerts on any interface that goes down for more than 30 seconds. Over a week you get ~400 alerts, mostly from access ports that flap when users unplug laptops, plus a handful of genuine uplink failures.
337 words, about 2 min