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

In the context of Designing and Implementing Enterprise Network Assurance (300-445 ENNA) , capacity planning requires accurate baselining of interface bandwidth against its theoretical and provisioned limits. Analyzing Exhibit 4.5 Question 4 (image_79d4fc.jpg) reveals a significant discrepancy between the physical reality of the link and its configuration within the monitoring tool.

The exhibit displays a capacity planning dashboard with a calendar heatmap and traffic graphs. The heatmap for February through May shows a high frequency of " Severe " (red) utilization blocks. Looking at the Egress graph for Tue May 07 2024 , the traffic spikes clearly exceed 40.0 Mbps. Crucially, the dashboard indicates an " Egress Capacity " of 49.5 Mbps and reports that the " Highest consumption " was 48.0 Mbps, representing 97% of the available bandwidth.

However, the question states that the ISP provides a 1 Gbps (1000 Mbps) connection . Since the actual traffic being sent is less than 50 Mbps, the link is nowhere near physical saturation. The " Severe " alerts and high utilization percentages are occurring only because the monitoring software (likely ThousandEyes or a similar NMS) is configured with a Maximum Capacity of only 49.5 Mbps for this interface. This misconfiguration causes the tool to calculate utilization based on a much smaller " pipe " than what actually exists, leading to false-positive alerts.

Therefore, the most likely action to fix this observed behavior is to reconfigure maximum capacity for the interface (Option B) to match the 1 Gbps specification.

Option A is unnecessary because the current link is only being utilized at ~5% of its 1 Gbps potential.

Option C is a restrictive policy change that is not justified given the actual available headroom.

Option D might shift how data is displayed but will not fix the underlying mathematical error in utilization calculations.

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) 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 with Microsoft 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 the Identity Provider Issuer field. 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; the Identity Provider Issuer is the most frequent point of mismatch requiring an manual override in Entra ID environments due to its strict " Audience Restriction " requirements. The Service 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 the Identity Provider Issuer is the necessary step to complete the integration and allow enterprise users to authenticate securely using their corporate credentials.

According to the Designing 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 to use 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. 12 By using silent installation parameters (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. 13 This " 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 like Active Directory GPOs or Microsoft Intune , organizations can ensure a 100% compliant deployment that immediately begins providing the " user-centric " visibility required for modern network assurance.

In the Designing 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 to tune 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.

Within the framework of Designing and Implementing Enterprise Network Assurance (300-445 ENNA) , network monitoring is categorized into two primary methodologies: active and passive monitoring. 1 Active monitoring (Option C) is characterized by the generation of synthetic or " probes " traffic specifically designed to measure network performance. 2 These probes simulate real-world user activity, such as HTTP requests, DNS queries, or ICMP pings, to baseline performance metrics like latency, jitter, and packet loss.

The core benefit of the active approach is its independence from actual user traffic. By sending a continuous ping or synthetic HTTP probe, an engineer can verify path availability and performance even during off-peak hours when no real users are on the network. In the context of Cisco ThousandEyes—a central platform in the ENNA certification—this is the primary mode of operation for Cloud, Enterprise, and Endpoint agents. For instance, a ThousandEyes network test proactively sends packets to a target IP or URL to visualize the hop-by-hop underlay and overlay paths.

Conversely, options A, B, and D represent passive monitoring techniques. Passive monitoring involves observing and analyzing traffic that is already traversing the network. 3 Methods such as SNMP (Option A) provide device-level health data like CPU load and interface utilization, while packet captures (Option B) and NetFlow (Option D) analyze the characteristics of existing user flows to determine top talkers or traffic patterns. While passive monitoring is excellent for volume and utilization analysis, it lacks the proactive capability to test a path ' s performance before a user encounters a failure. Therefore, sending a synthetic probe like a continuous ping is the definitive example of active monitoring.