300-445 Cisco Designing and Implementing Enterprise Network Assurance (300-445 ENNA) Free Practice Exam Questions (2026 Updated)

The Designing and Implementing Enterprise Network Assurance (300-445 ENNA) framework emphasizes that the goal of internet intelligence is to enable rapid and accurate escalation to the party responsible for a service degradation. Based on the evidence of a BGP Hijack identified in the previous question, the issue is occurring entirely within the public internet ecosystem.

The most appropriate next step is to reach out to the Internet Service Provider (ISP) to report the suspected BGP hijacking incident (Option B). Since the traffic is being misdirected by an external Autonomous System (AS 10297) before it reaches the intended destination (AS 16509), the fix must occur at the routing policy level of the major transit providers. The network administrator should provide the ISP with the ThousandEyes " Share Link " or screenshots showing the path change and the unauthorized AS announcement, as this data serves as proof to accelerate the ISP ' s mitigation efforts, such as implementing prefix filters or contacting the offending network.

Other options are ineffective for this specific scenario:

Option A: The path visualization shows that traffic is successfully leaving the local network and reaching the public internet; the problem is many hops away from the internal routers.

Option C: Blocking traffic from AS 10297 does not solve the problem of your traffic being attracted to it. The hijack affects how the rest of the world (including your ISP) sees the route to your destination.

Option D: DNS is not the issue; the agent successfully resolved the hostname to the correct IP, but the BGP layer misdirected the packets at the routing level.

By identifying the issue as an external routing event, the administrator avoids wasting internal resources and directly triggers the necessary external remediation.

In the Designing and Implementing Enterprise Network Assurance (300-445 ENNA) architecture, a critical design consideration is the impact of the monitoring solution on the production environment. The primary advantage of passive monitoring (Option B) is its non-intrusive nature; it provides insights into network performance and traffic composition without injecting additional " synthetic " overhead into the data plane.

Passive techniques—such as Cisco Meraki Insight (MI) , NetFlow, and SNMP—rely on the telemetry generated by existing user traffic or the device ' s own control plane. For example, Meraki Insight analyzes HTTP/S flows as they naturally pass through a Meraki MX appliance to derive application performance scores, rather than sending separate probes. 5 This ensures that the monitoring tool itself does not consume bandwidth or contribute to network congestion, which is particularly vital in bandwidth-constrained branch environments or on high-utilization links.

In contrast, active monitoring (Options A and C) requires the deliberate generation of synthetic traffic, which can potentially skew results if the volume is too high or if the network is already at capacity. While active monitoring is essential for proactive troubleshooting (measuring performance before users complain), passive monitoring is the preferred method for long-term historical analysis of real user experience and infrastructure utilization because it captures what is actually happening on the wire. Option D is a shared capability; both types can measure specific services, but only passive monitoring does so while remaining transparent to the network load. Therefore, the lack of added traffic is the definitive advantage of the passive approach.

Cloud and Enterprise Agents → Web - Page Load → DOM Load Time → Mean

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.

In the Designing and Implementing Enterprise Network Assurance (300-445 ENNA) curriculum, troubleshooting endpoint connectivity requires a systematic analysis of local device logs and network environment changes. According to the log message provided in Exhibit there was a specific timeout error when the agent attempted to reach the ThousandEyes backend. The logs explicitly state: Request to: wss://c1.eb.thousandeyes.com/relay/connect timed out: 12002: The operation timed out.

Since the endpoint was relocated to a new network utilizing static IP assignment , and other endpoints on the same network are functioning correctly, the issue is highly localized to this specific device ' s configuration. In a static IP environment, human error during the manual entry of the IP address, subnet mask, default gateway, or DNS server is a common root cause of connectivity failure. If the gateway is incorrect, the agent cannot reach the internet; if the DNS is incorrect, it cannot resolve c1.eb.thousandeyes.com. Therefore, the best way to bring the endpoint online is to verify the accuracy of the IP settings and test direct connectivity to the ThousandEyes relay URL.

The alternative options do not address the technical evidence found in the logs:

Option A: Moving the device back is a regressive step that does not resolve the need for the device to function in its new location.

Option B: Reinstalling software is a " brute force " method that rarely fixes underlying network-layer misconfigurations like an incorrect static IP.

Option C: A timeout error (12002) indicates a persistent connectivity blockage that will not resolve itself without administrative intervention.

Checking the static IP credentials ensures the device has a valid path to the internet to establish its secure websocket (WSS) connection to the ThousandEyes platform.

In the Designing and Implementing Enterprise Network Assurance (300-445 ENNA) implementation guide, the Cisco IOS XE Application Hosting lifecycle is a critical concept for troubleshooting and configuration management. When an application environment variable—such as proxy settings or account tokens—is modified in the app-hosting configuration, a simple restart of the container is insufficient to apply those changes.

The correct procedure involves moving the application back through its lifecycle states to ensure the new environment variables are injected. This requires executing the full agent lifecycle (Option C): Stop, Deactivate, Activate, and Start .

Stop: Terminates the current running process of the container.

Deactivate: Releases the allocated hardware resources (CPU, Memory) and, most importantly, clears the runtime environment.

Activate: Re-allocates the resources and injects the updated configuration parameters into the container ' s environment variables.

Start: Initiates the container with the newly applied configuration settings.

After the application is up and running, the ThousandEyes-agent process attempts to connect to the controller in the cloud environment. Without the deactivate/activate sequence, the container continues to use the environment variables present at the time of its initial activation, causing the agent to remain offline as it fails to reach the ThousandEyes portal without the proxy. Reinstalling (Option B) would work but is an unnecessarily lengthy process, while No action (Option D) will result in no change to the agent ' s connectivity status.

In the Designing and Implementing Enterprise Network Assurance (300-445 ENNA) curriculum, identifying routing anomalies such as BGP Hijacking is a critical aspect of external network assurance. A BGP Hijack occurs when an Autonomous System (AS) illegitimately announces a prefix it does not own, causing traffic intended for the rightful owner to be misdirected.

By contrasting Exhibit 3.4-1 (Before the Outage) and Exhibit 3.4-2 (During the Outage), a definitive change in the routing path is observed. In the baseline view (Exhibit 3.4-1), traffic from the Los Angeles agent reaches the destination network 54.239.104.0/23, which is correctly associated with Amazon.com, Inc. (AS 16509) . However, during the outage (Exhibit 3.4-2), the path visualization shows the traffic being redirected into a different network: eNET Inc. (AS 10297) . At this new location, the traffic encounters 100% Forwarding Loss at the node ten7-8.core-2.xlhost.com.

The change in the Autonomous System (AS) number from 16509 to 10297 (Option B) is the most concrete indicator of a BGP Hijack. While symptoms such as Availability Drop (Option A), Response Delay (Option C), and Packet Loss (Option D) are clearly visible in the ThousandEyes telemetry, these symptoms are generic and could be caused by various other issues like physical link failures or congestion. The shift in the AS path—specifically to an AS that does not legitimately host the target ' s IP prefix—provides the forensic evidence needed to identify the root cause as a routing takeover. This visualization allows network administrators to bypass internal troubleshooting and immediately focus on external remediation with upstream providers.

According to the Designing and Implementing Enterprise Network Assurance (300-445 ENNA) curriculum, ThousandEyes WAN Insights is a predictive analytics solution designed to transform network management from a reactive to a proactive model. 10 In the scenario provided, the voice quality issues are recurring and peak-hour dependent, indicating a need for optimization rather than just standard real-time alerting. 11

The most relevant capability for this scenario is analyzing historical SD-WAN performance data to generate path recommendations (Option B). WAN Insights integrates with Cisco Catalyst SD-WAN Manager (vManage) and vAnalytics to ingest massive volumes of telemetry. 12 It uses advanced statistical models to analyze the performance of all active circuits (MPLS, Internet, etc.) over time. If the system identifies that a different available path consistently delivers a higher Quality of Experience (QoE) or better adherence to the voice SLA during those peak windows, it generates a recommendation to adjust the Application-Aware Routing (AAR) policy. 1314

This predictive approach allows the administrator to fine-tune network policies in advance, ensuring that sensitive traffic like voice is automatically rerouted to the most stable path before the congestion impacts the users. Option A describes standard ThousandEyes synthetic testing, while Option C is incorrect because WAN Insights specifically uses existing SD-WAN telemetry rather tha 15 n generating its own synthetic voice 16 probes. Option D and E describe general NMS or security features not specific to WAN Insights ' predictive mission. Thus, the proactive recommendation of alternative paths based on historical SLA adherence is the core function of WAN Insights for improving voice quality. 171819

According to the Designing and Implementing Enterprise Network Assurance (300-445 ENNA) curriculum, DNS testing is a fundamental component of ensuring application availability and performance. The ThousandEyes platform provides two primary types of DNS tests: DNS Server and DNS Trace .

To satisfy the specific requirements of monitoring IPv6 records and name server resolution times , the engineer must utilize the DNS Server test . This test type is designed to measure the performance of specific DNS servers by querying them for particular resource records.

Monitoring IPv6 Records: In the DNS system, IPv6 address records are known as AAAA records . Therefore, to monitor the availability and resolution of IPv6 addresses for a domain, the engineer must create a DNS Server test and set the query type to AAAA (Option B).

Monitoring Name Server Resolution Times: To measure how long it takes for a DNS server to return the authoritative name servers for a domain, the engineer must query for NS (Name Server) records . By creating a DNS Server test targeting the NS record (Option D), the platform can provide granular metrics on the response time and availability of those specific records from the perspective of the selected agents.

DNS Trace tests (Options C and E) are less suitable for measuring specific resolution times of a single server; instead, they are used to visualize the entire delegation path from the root servers down to the authoritative servers to identify where a " break " in the chain occurs. Furthermore, an A record query (Option A) only provides the IPv4 address, failing the requirement to monitor IPv6. By selecting DNS Server tests for AAAA and NS records, the administrator ensures they have the precise performance data needed to baseline and troubleshoot the organization ' s DNS health.

According to the Designing and Implementing Enterprise Network Assurance (300-445 ENNA) framework, application health is not just about reachability, but about the functionality of business-critical paths. For an e-commerce checkout process, which involves multiple interactive steps such as " Add to Cart, " " Enter Shipping Info, " and " Finalize Payment, " Transaction monitoring (Option B) is the most beneficial functionality.

Transaction tests provide a high-level view of application performance by executing a script that simulates a real user ' s interaction with the site ' s various components. Unlike HTTP server monitoring (Option A), which merely verifies that a single URL returns a specific status code (like 200 OK), Transaction monitoring validates that the underlying application logic and database transactions are working as expected across the entire session. If a user can reach the homepage but the " Checkout " button fails due to a slow backend API call or a JavaScript error, only a Transaction test will identify the failure and provide a granular waterfall chart to show exactly where the process broke down.

While DNS monitoring (Option C) and Routing visibility (Option D) are crucial for identifying foundational connectivity issues, they are insufficient for monitoring complex transactional workflows. A DNS failure would prevent access to the site entirely, but a " broken " checkout process often occurs while the network and DNS appear perfectly healthy. Transaction monitoring bridges this gap by providing " layer 7 " visibility into the end-to-end user experience, making it the definitive choice for e-commerce performance assurance.

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In the Designing and Implement 7 ing Enterpr 8 ise Network Assurance (300-445 ENNA) framework, configuring effective alert rules is critical for distinguishing between standard network noise and actionable application-layer failures. For Web - HTTP Server tests, ThousandEyes allows engineers to monitor both network-level metrics (like Connect time) and application-level indicators (like HTTP response codes).

The requirement is to trigger an alert specifically when the HTTP server responds with a server error . In the HTTP protocol, server errors are categorized as the 5XX series of status codes (e.g., 500 Internal Server Error, 503 Service Unavailable, 504 Gateway Timeout). To meet this requirement, the engineer must configure a location alert condition where the Metric is set to Response Code and the condition value is server error(5XX) (Option D).

Reviewing the other options:

Error type is any (Option A): While this would capture server errors, it would also trigger for 4XX client errors (like 404 Not Found) and network-layer timeouts, making it too broad for a specific " server error " requirement.

Wait Time is Dynamic (Option B): This monitors the time-to-first-byte using statistical baselining. While high wait times often precede 5XX errors, this condition only alerts on latency, not on the actual error code itself.

Response Time (Option C): Similar to wait time, this monitors performance speed rather than the logical success or failure of the server ' s response.

By specifically selecting Response Code: server error(5XX) , the engineer ensures that the operations team is only notified when the application backend is experiencing a functional failure, rather than just a slow response or a client-side misconfiguration.