Pass the Cisco CCNP Enterprise 300-445 Questions and answers with ExamsMirror

In theDesigning 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 inExhibitthere 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 utilizingstatic 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 theIP settingsand 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.

For theDesigning and Implementing Enterprise Network Assurance (300-445 ENNA)exam, monitoring remote workforces requires a strategy that captures both the user's local environment and the regional internet health. In a scenario involving Cisco AnyConnect VPN, the "last mile" connectivity of the employee is often the most significant variable in application performance.

Utilizing the ThousandEyes Endpoint Agent(Option D) is the most effective way to monitor this environment. Because the agent resides directly on the remote employee's machine, it can monitor the performance of the web application both "inside" and "outside" the VPN tunnel. It provides visibility into the local Wi-Fi signal strength, the health of the AnyConnect client, and the latency experienced as traffic traverses the VPN headend. This allows engineers to differentiate between a slow home internet connection and an issue with the VPN concentrator.

Deploying ThousandEyes Cloud Agents(Option A) serves as a critical baseline. By running tests from Cloud Agents in the same regions as the remote employees, the engineer can determine if the "internet" in that region is healthy. If a Cloud Agent in London shows a perfect response time while an Endpoint Agent in London shows high latency, the engineer can immediately isolate the problem to the user's specific setup or the VPN path, rather than a regional ISP outage.

Other options are less suitable for monitoring theremote employee's experience:

AppDynamics (Option B)provides server-side code visibility but cannot see the user's home Wi-Fi or local network path.

Enterprise Agents on the VPN concentrator (Option C)can monitor the pathfromthe data center to the app, but they cannot see the path from theuserto the concentrator.

Enterprise Agents in the data center (Option E)provide an "inside-out" view of the app's health but miss the entire remote access experience.

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 theDesigning and Implementing Enterprise Network Assurance (300-445 ENNA)architecture, the deployment of ThousandEyes Enterprise Agents on switching infrastructure is designed to be highly flexible, catering to different management styles and network scales. Modern Cisco switches, specifically theCatalyst 9300 and 9400 Series, support the execution of containerized applications directly on the switch's hardware through theCisco IOS XE Application Hostingframework.1

Application Hosting (Option A)refers to the manual method using the Cisco IOS XE Command Line Interface (CLI). An engineer can use app-hosting commands to install, configure, and manage the Docker-based Enterprise Agent.2This provides granular control over resource allocation and networking for the container.Catalyst Center (Option B)provides a GUI-driven, automated workflow to deploy agents at scale across an entire campus fabric.3It simplifies the lifecycle management by handling the installation and activation across multiple switches simultaneously. For switches acting as edge devices in an SD-WAN fabric,Catalyst SD-WAN Manager (Option C)orchestrates the deployment through centralized policies and templates, allowing the agent to be pushed as part of a device configuration. Finally, while theThousandEyes Portal (Option D)is the management plane for tests, it is also where the Docker image and Account Group Token are obtained for any of the aforementioned deployment methods.

Each method provides the same end result: an Enterprise Agent running "on-box" to provide deep visibility into the network path starting directly from the access or core layer. Therefore,All of the above(Option E) is the correct answer as it encompasses the manual, automated, and orchestrated methods available for switch-based deployment as per the 300-445 ENNA official guidelines.

In theDesigning and Implementing Enterprise Network Assurance (300-445 ENNA)curriculum, capacity planning and optimization are driven by telemetry data such as NetFlow. When NetFlow identifies that delay and jitter—metrics highly impactful to real-time traffic—spike during peak hours, it indicates that high-priority packets are competing for resources with bulk data.

The most appropriate recommendation is totune the existing QoS configuration(Option C). This involves adjusting the Queuing and Scheduling policies on the routers to ensure that voice and video traffic (typically marked with EF and AF41/AF42 DSCP values) is serviced before other traffic classes during periods of congestion. This solution is targeted, cost-effective, and directly addresses the observed jitter issues without the need for massive capital expenditure.

Reviewing other options:

Option A:A complete QoS redesign is often unnecessary and too invasive for solving peak-hour jitter if a basic QoS framework is already in place.

Option B:Increasing bandwidth on "all" links is a "brute force" approach that is expensive and fails to address the underlying problem of traffic prioritization.

Option D:Hardware replacement is a last resort and would not resolve delay/jitter if the new hardware still lacks a properly tuned QoS policy.

According to theDesigning and Implementing Enterprise Network Assurance (300-445 ENNA)curriculum, the integration between ThousandEyes andWebex Control Hubprovides a streamlined troubleshooting experience for collaboration services. For the VoIP team to access the specific ThousandEyes network telemetry—such as latency, loss, and jitter—they must navigate to theNetwork Path(Option B) section within the Troubleshooting tab of the Control Hub.15

TheNetwork Pathvisualization is a direct result of the ThousandEyes Endpoint Agent data being pulled into the Webex interface.16When a user or RoomOS device experiences poor audio or video quality during a meeting, the Control Hub's troubleshooting view displays a "Network Path" line under the participant's details.17By clicking on this line, the VoIP team can see a hop-by-hop breakdown of the entire route from the collaboration device to the Webex media node. This view highlights specific hops where performance is "Poor" (red), "Fair" (yellow), or "Good" (green) based on predefined thresholds for latency (>400ms) or loss (>5%).

While "Devices" (Option A) is where the agents are activated, and "Users" (Option C) allows for selecting a specific participant, the actualtelemetry metricsand the visualization of the network route are strictly located in theNetwork Pathview. This integration eliminates the need for the VoIP team to leave the Webex environment for initial triage, as they can identify if a problem is local to the branch office or deep within a service provider's network directly from the "Network Path" dashboard.

In theDesigning and Implementing Enterprise Network Assurance (300-445 ENNA)curriculum, selecting the appropriate test type is essential for isolating performance bottlenecks in complex web applications. When users report issues with specific multi-step workflows—such as logging into a portal or interacting with a shopping cart—theTransaction test type(Option C) is the most effective tool.

A Transaction test is a specialized Web-layer test that utilizes a script (typically written in JavaScript/TypeScript) to mimic real user interactions with a website. Unlike a simpleHTTP Server test(Option A) that only checks for a 200 OK response from a single URL, or aPage Load test(Option B) that measures the rendering of a single page, a Transaction test follows a predefined user journey. For this retail scenario, the test can be configured to navigate to the homepage, enter credentials, click the login button, search for a product, and add it to the cart.

The primary advantage of this approach is that it provides granular, step-specific timing. It allows the engineer to identify precisely where the latency or failure occurs—for example, if the backend database takes too long to process the login or if an API call fails during the "add to cart" action. WhileAgent-to-server(Option D) andDNS Server(Option E) tests provide valuable network and infrastructure data, they cannot validate the functional logic of a web application.Agent-to-agent(Option F) is used for measuring throughput between two managed points and is irrelevant for public-facing website testing. Therefore, for troubleshooting interactive web processes, theTransaction test typeis the definitive choice for pinpointing the source of the issue.

In theDesigning and Implementing Enterprise Network Assurance (300-445 ENNA)architecture, secure administrative access via Single Sign-On (SSO) is a critical component of platform governance. The exhibit illustrates the ThousandEyes SSO configuration panel being integrated withMicrosoft Entra ID(formerly Azure AD). When configuring SAML-based authentication, the "Identity Provider Issuer" (Option D) is a unique identifier provided by the IdP (Microsoft) that must match exactly between the two systems.

According to ENNA implementation guidelines, ThousandEyes populates default fields based on standard SAML metadata. However, Microsoft Entra ID often utilizes a specific GUID-based format for the Issuer URL (e.g., https://sts.windows.net/tenant-id/) that may differ from the generic URL format expected by the platform's initial auto-fill. To ensure a successful SAML handshake, the engineer must select the "Override"checkbox next to theIdentity Provider Issuerfield. This action unlocks the field, allowing the engineer to manually paste the exact string provided in the Entra ID Federation Metadata document. If this value is not overridden and matched precisely, the SAML assertion will be rejected, resulting in a failed authentication attempt.

While the Login and Logout URLs (Options B and C) are also critical, they are typically correctly identified during the initial setup or metadata import; theIdentity Provider Issueris the most frequent point of mismatch requiring an manual override in Entra ID environments due to its strict "Audience Restriction" requirements. TheService Provider Issuer(Option A) is generally a fixed value (https://app.thousandeyes.com) that rarely requires overriding as it defines ThousandEyes' own identity to the IdP.

Therefore, selecting the override for theIdentity Provider Issueris the necessary step to complete the integration and allow enterprise users to authenticate securely using their corporate credentials.

According to theDesigning and Implementing Enterprise Network Assurance (300-445 ENNA)best practices, the goal of a successful endpoint assurance rollout is to maximize coverage while minimizing the burden on both IT staff and end-users. The most effective strategy for achieving this is touse a centralized software deployment tool (e.g., GPOs, Intune) that supports silent installation(Option B).

Centralized deployment tools allow administrators to push the ThousandEyes Endpoint Agent to thousands of machines simultaneously from a single management console.12By usingsilent installationparameters (such as /quiet or /qn for MSI packages), the agent is installed in the background without requiring any user interaction or even showing a setup wizard.13This "minimally disruptive" approach ensures that business operations are not interrupted. Furthermore, centralized tools provide a "secure" deployment method because the IT team retains control over the version of the agent being installed and can ensure that the Account Group Token is correctly embedded, which is necessary for the agent to register with the ThousandEyes dashboard.

Contrasting this with other methods:

Manual Installation (Option A):This is not scalable and is highly labor-intensive, making it unsuitable for large enterprises.

Emailing links (Option C) or Web Portals (Option D):These methods rely on the end-user to perform the installation correctly and to have the necessary local administrative privileges. This often leads to low adoption rates, inconsistent configurations, and security risks associated with users running installers manually.

By leveraging existing enterprise infrastructure likeActive Directory GPOsorMicrosoft Intune, organizations can ensure a 100% compliant deployment that immediately begins providing the "user-centric" visibility required for modern network assurance.

In the framework ofDesigning and Implementing Enterprise Network Assurance (300-445 ENNA), selecting the appropriate ThousandEyes agent type is critical to balancing visibility requirements with infrastructure constraints. For Branch A, the primary objective is to gain network-layer metrics (such as latency, packet loss, and jitter) and path visualization for a SaaS application while strictly avoiding any performance impact on employee endpoints.

TheEnterprise Agent(Option C) is the correct choice because it is designed for "inside-out" monitoring from within the corporate network environment. These agents are lightweight software probes that can be deployed on existing network infrastructure, such asCisco Catalyst 9300/9400 switchesorCatalyst 8000 Edge Platforms, using Docker containers or virtual machines. By hosting the agent on the branch router or a dedicated local server, the engineer can execute synthetic tests to the SaaS provider's destination. This approach provides the necessary network vantage point from Branch A without requiring any software installation or resource consumption on the individual employee workstations (endpoints).

Other agent types do not satisfy the specific constraints of this scenario:

Endpoint Agentsare installed directly on user devices (Windows/macOS) to provide "last-mile" visibility. However, they use the endpoint's CPU and memory, which contradicts the requirement to not affect endpoint performance.

Cloud Agentsare maintained by Cisco in global ISP data centers. While they provide "outside-in" visibility, they cannot capture internal branch network characteristics or the specific path from Branch A's internal local area network.

Application Agentis a non-standard term and does not exist as a standalone agent type within the ThousandEyes architecture.

Therefore, deploying anEnterprise Agentwithin the branch infrastructure ensures that the network engineer obtains high-fidelity network metrics while keeping employee devices entirely unburdened.

Introduction to ThousandEyes

This video provides an essential overview of how ThousandEyes agents function within a CCNP-level enterprise network assurance strategy.