Free Cisco 300-445 Practice Exam with Questions & Answers

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.

In the Designing and Implementing Enterprise Network Assurance (300-445 ENNA) framework, baselining is the process of establishing a " normal " performance profile for network infrastructure to enable the detection of anomalies. When the metric of interest is the internal health of a physical device, such as CPU utilization on a core router, SNMP (Simple Network Management Protocol) is the industry-standard data source.

SNMP provides direct visibility into the device ' s control plane and hardware performance. By polling specific Object Identifiers (OIDs) from the router ' s Management Information Base (MIB), a monitoring system like Cisco Catalyst Center or a third-party NMS can collect granular data on CPU cycles, memory allocation, and temperature. This " inside-out " telemetry is essential for baselining because it reflects the actual resource consumption of the router during various traffic loads.

Conversely, ThousandEyes tests (Options A, B, and D) provide " outside-in " synthetic data. While DNS resolution time (Option A), HTTP response times (Option B), and Path Visualization (Option D) are excellent for measuring end-to-end service delivery and network transit health, they do not report on the router ' s internal hardware state. For instance, a router could have 99% CPU utilization (indicating a potential crash), yet a ThousandEyes path test might still show a " green " path if the data plane (ASICs) is still forwarding packets efficiently. Therefore, to establish a reliable baseline for hardware-specific metrics like CPU, SNMP data (Option C) is the only appropriate source among the choices.

Detailed Explanation:

In the IT Operations Dashboard, performance metrics are displayed per agent to facilitate granular troubleshooting. By reviewing the latest metrics table, the Mexico City Mexico (TelMex) agent displays a Connect time of 0.51 ms, which is significantly lower (and therefore " better " ) than the corresponding time for the San Jose CA agent. Connect time measures the duration for the TCP three-way handshake; a lower value indicates faster network-layer establishment.

In the Designing and Implementing Enterprise Network Assurance (300-445 ENNA) curriculum, understanding the visibility gap between the SD-WAN overlay and the transport underlay is a core competency. The provided exhibit illustrates a ThousandEyes Enterprise Agent deployed on a Branch Edge Router performing tests across two distinct paths: Internet (reaching a destination at 64.100.249.90) and MPLS (reaching a destination at 172.29.0.2).

According to the ENNA architecture guidelines, ThousandEyes is primarily utilized to provide hop-by-hop visibility into the underlay network. While SD-WAN controllers like vManage provide native monitoring for the overlay—the logical IPsec tunnels (Option B) that form the SD-WAN fabric—they often lack granular visibility into the physical service provider paths (the underlay) that carry those tunnels. The exhibit specifically highlights the agent probing the transport networks (Transport VPN0) directly, bypassing the overlay tunnels to measure the raw performance of the ISP and MPLS circuits.

By monitoring the underlay (Option A), the engineer can identify if high latency or packet loss is caused by a specific hop within the service provider ' s infrastructure or at a peering point. This " underlay visibility " is critical for troubleshooting SD-WAN performance issues where the overlay may report a tunnel down, but the root cause lies in a BGP routing change or physical fiber cut in the provider network. ThousandEyes Enterprise Agents, natively integrated into Catalyst 8000 and ISR 4000 platforms, allow for this persistent underlay monitoring without additional hardware.

Overlay (Option C): While ThousandEyes can monitor overlay performance, the exhibit ' s focus on the raw IP addresses (Internet and MPLS) in the transport VPN indicates an underlay test.

IPsec/GRE Tunnels (Options B & D): These represent the transport mechanisms of the overlay. ThousandEyes probes the path under these tunnels to ensure the transport health is sufficient to support the fabric.