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Designing and Implementing Enterprise Network Assurance Questions 16–20 (page: 5)

Updated On: 10-Feb-2026

Thousand23Eyes WAN Insights integrates with Cisco SD-WAN to provide visibility into network performance and generate path recommendations.
Which two data sources from the SD-WAN

environment are e25ssential for WAN Insights to function? (Choose two)

  1. Configuration data from vManage, su27ch as device templates and centralized policy settings.28
  2. Historical network performance metrics collected by vAnalytics, including loss, latency, and jitter for SD-WAN tunnels.
  3. Data collected from ThousandEyes endpoint agents installed on end-user devices within the SD- WAN.
  4. Application traffic flow data from the SD-WAN data plane, categorized by vManage application lists.
  5. Syslog messages from SD-WAN edge routers, indicating device events and errors related to tunnel establishment.

Answer(s): B,D

Explanation:

The architecture for Designing and Implementing Enterprise Network Assurance (300-445 ENNA) specifies that ThousandEyes WAN Insights relies on deep integration with the Cisco SD-WAN management stack. To generate its predictive path recommendations, the platform must ingest specific telemetry data that reflects both the network's behavior and the applications traversing it.

The first essential data source is historical network performance metrics collected by vAnalytics (Option B). Before WAN Insights can be activated, vAnalytics must be enabled to collect and enrich raw network telemetry from the edge routers.34 This data includes granular metrics for every SD- WAN tunnel, such as packet loss, latency, and jitter.35 WAN Insights analyzes these historical trends to forecast future path quality and determine which transport circuits are most likely to meet application SLAs over a long-term period.

The second essential data source is application traffic flow data (Option D). WAN Insights must understand which applications are currently active in the fabric to prioritize recommendations for

"business-critical" services like Office 365, Webex, or custom internal apps.38 This information is ingested as flow records from the SD-WAN data plane and categorized based on the Application Lists defined in Cisco Catalyst SD-WAN Manager (vManage).

Options A and E are configuration or logging data that, while useful for general management, are not the raw telemetry inputs used by the WAN Insights predictive engine. Option C is incorrect because WAN Insights explicitly uses infrastructure telemetry rather than ThousandEyes agent-based synthetic data for its SD-WAN fabric calculations. By combining vAnalytics performance metrics and application flow data, WAN Insights can provide the "Predictive Path Recommendatio41ns" that are a hallmark of modern network assurance.



What type of agent is typically installed on Cisco SD-WAN devices as part of the ThousandEyes integration with vManage?

  1. Cloud Agent
  2. Browser Agent
  3. Enterprise Agent1
  4. Endpoint Agent2

Answer(s): C

Explanation:

In the Designing and Implementing Enterprise Network Assurance (300-445 ENNA) curriculum, the integration of ThousandEyes with the Cisco SD-WAN fabric is a cornerstone of modern wide-area network visibility. The primary agent type used in this native integration is the Enterprise Agent (Option C).

According to the ENNA implementation guidelines, ThousandEyes Enterprise Agents run as containerized applications directly on the Cisco IOS XE software stack (version 17.6.1 and later) of supported hardware, such as Cisco Catalyst 8000 Edge Platforms and ISR 4000 Series routers.3 This deployment is orchestrated centrally through Cisco Catalyst SD-WAN Manager (formerly vManage), which handles the lifecycle management, including downloading the Docker-based agent image from the Cisco software repository and pushing the initial configuration to the branch edge devices.4

Once deployed, these Enterprise Agents function as internal vantage points that can measure performance across both the underlay transport and the SD-WAN overlay. By placing the agent on the router, engineers can execute synthetic tests to monitor mission-critical SaaS applications or data center services directly from the branch's perspective, avoiding the need for extra hardware probes at each site. This "agent-on-router" architecture significantly reduces both CapEx and OpEx while providing high-fidelity network intelligence into ISP peering, regional outages, and fabric health.

Cloud Agents (Option A) are managed by Cisco in global data centers and cannot be "installed" on customer edge routers.

Endpoint Agents (Option D) are designed for user workstations or laptops and do not provide the infrastructure-level visibility required for SD-WAN transport monitoring.

Browser Agent (Option B) is not a specific standalone agent type in this context; rather, browser-level testing is a capability often performed by Endpoint or Enterprise Agents.

Therefore, the Enterprise Agent is the correct verified agent type for Cisco SD-WAN vManage integration.



What is the primary purpose of integrating ThousandEyes with Meraki?

  1. To deploy Endpoint Agents for VPN connectivity monitoring
  2. To monitor external applications and services from SD-WAN sites
  3. To enhance cloud security and compliance
  4. To manage user access policies and permissions

Answer(s): B

Explanation:

The Designing and Implementing Enterprise Network Assurance (300-445 ENNA) framework highlights the integration between ThousandEyes and Cisco Meraki as a solution for "cross-domain assurance".5 The primary purpose of this integration is to monitor external applications and services from SD-WAN sites (Option B).

In a distributed Meraki environment, IT teams often struggle with visibility into the "Internet as a WAN," where performance issues may occur outside the local network perimeter. By embedding ThousandEyes Enterprise Agents natively within Meraki MX appliances, organizations can bridge the gap between internal LAN metrics and external service health.6 This integration allows for proactive monitoring of SaaS platforms (like Microsoft 365, Salesforce, and Webex) and other public-facing dependencies using synthetic probes. It complements the native Meraki Insight (MI), which provides passive monitoring of real user traffic, by adding active path visualization and hop-by-hop analysis across the Internet.

Key advantages of this integration include:

One-Click Activation: Enabling the ThousandEyes agent directly from the Meraki Dashboard without additional hardware.7

Pre-configured Templates: Using built-in test templates for common SaaS applications to accelerate troubleshooting.8

Isolation of Fault Domains: Quickly determining if a user's lag is caused by a local Wi-Fi issue (via Meraki wireless metrics) or an ISP routing problem (via ThousandEyes path data).9

While ThousandEyes does provide visibility for VPN and security, Options A, C, and D are not the primary focus of the specific Meraki-ThousandEyes integration architecture, which is centered on extending application performance assurance to distributed branch locations.



What type of data does ThousandEyes use to diagnose when integrated with Cisco Secure Client?

  1. Data related to network hardware configurations
  2. Data related to user activity and behavior
  3. Network performance data from the user's device
  4. Data related to secure web gateway performance

Answer(s): C

Explanation:

Under the Designing and Implementing Enterprise Network Assurance (300-445 ENNA) guidelines, the integration between ThousandEyes and Cisco Secure Client (formerly AnyConnect) is designed to provide visibility into the hybrid workforce experience. The integration primarily leverages network performance data from the user's device (Option C) to diagnose connectivity and application issues.

This data is collected by the ThousandEyes Endpoint Agent, which is deployed as a module within the Cisco Secure Client.10 The agent captures real-time telemetry from the user's laptop or workstation, including Wi-Fi signal strength, CPU and memory utilization, and local network gateway latency. Specifically, for remote users, it monitors the health of the VPN tunnel and the performance of applications as seen from the end-user's vantage point.

When a user reports a "slow application," this integrated telemetry allows IT teams to determine if the root cause is the user's home Wi-Fi, a saturated VPN concentrator, or an issue within the ISP underlay. The agent performs Automated Session Testing (AST), which maps the network path as soon as a user joins a critical meeting or accesses a SaaS tool, providing a granular view of every hop between the device and the service destination. Unlike hardware configuration data (Option A) or behavioral analytics (Option B), the focus here is strictly on the network performance metrics that impact digital experience.

Therefore, the collection of device-centric network performance data is the core function of the Cisco Secure Client and ThousandEyes integration.



What advantage does the integration of ThousandEyes with Cisco technologies offer for troubleshooting?

  1. It eliminates the need for manual data entry.
  2. It provides real-time virtual assistance to end-users.
  3. It automates network configuration changes based on user feedback.
  4. It allows for quick identification and resolution of performance issues.11

Answer(s): D

Explanation:

The Designing and Implementing Enterprise Network Assurance (300-445 ENNA) certification emphasizes that the primary value proposition of the Cisco "Assurance Stack" is the reduction of Mean Time to Identification (MTTI) and Mean Time to Resolution (MTTR). The integration of ThousandEyes across Cisco's portfolio--including Catalyst, Meraki, and SD-WAN--allows for quick identification and resolution of performance issues (Option D).12

By embedding ThousandEyes agents into the existing network infrastructure, Cisco enables "end-to- end visibility" that spans domains the enterprise traditionally does not control, such as the public internet and SaaS environments.13 During troubleshooting, this cross-platform visibility allows network engineers to immediately correlate internal network health (from Catalyst Center or Meraki Dashboard) with external path visualization (from ThousandEyes). For example, when a user experiences poor video quality in a Webex meeting, the integration allows the engineer to "cross- launch" from the Webex Control Hub directly into a ThousandEyes path view.14 This pinpoint accuracy avoids the "blame game" between network, application, and ISP teams by providing a "single source of truth" regarding where the packet loss or latency is occurring.

While some automation exists (Option C), the core benefit isn't automatic configuration changes based on feedback, but rather providing the actionable insights required for manual or policy-based remediation. Similarly, while it streamlines data gathering, its ultimate purpose is the speed of resolution in complex, hybrid environments.



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