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

According to theDesigning 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 ServerandDNS Trace.

To satisfy the specific requirements of monitoringIPv6 recordsandname server resolution times, the engineer must utilize theDNS 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 asAAAA 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 toAAAA(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 forNS (Name Server) records. By creating a DNS Server test targeting theNS 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 resolutiontimesof 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, anA recordquery (Option A) only provides the IPv4 address, failing the requirement to monitor IPv6. By selectingDNS Servertests forAAAAandNSrecords, the administrator ensures they have the precise performance data needed to baseline and troubleshoot the organization's DNS health.

In the context ofDesigning and Implementing Enterprise Network Assurance (300-445 ENNA), measuring the "lived experience" of an end-user requires data collection from the actual device being used to access the services. Unlike server-side or infrastructure-side monitoring, user experience (UX) monitoring must account for local variables like Wi-Fi signal quality, CPU/memory usage, and browser-level pe21rformance.

TheEndpoint Agent(Option D) is the correct choice for this architecture. It is a lightweight software service installed directly on Windows or macOS workstations, as well as RoomOS devices. The Endpoint Agent provides a dual-monitoring approach:Real User Monitoring (RUM)andScheduled Synthetic Tests.24RUM captures actual browser sessions to SaaS (e.g., Salesforce, Microsoft 365) or internal apps, providing a "Experience Score" and a detailed waterfall view of page load components.25Simultaneously, the agent can run background synthetic network tests to measure latency and path visualization from the user's specific location, whether they are in a branch office, at home on a VPN, or in a coffee shop.

Comparing other agents:

Enterprise Agents (Option B)can simulate a user at a branch office, but they cannot provide insight into the specific health of an individual's laptop or their unique Wi-Fi environment.

Cloud Agents (Option C)are entirely outside the user's network and cannot measure the performance of internal web applications or the "last mile" connectivity of the employee.

Synthetic Agent (Option A)remains a distractor term.

By deployingEndpoint Agents, the architect ensures they have granular, contextual data that correlates application performance directly with the user’s device and local network environment.

In theDesigning and Implementing Enterprise Network Assurance (300-445 ENNA)curriculum, transaction monitoring is essential for validating complex, multi-step user workflows. When an engineer with limited scripting experience needs to monitor a OneDrive file download process, the ThousandEyes ecosystem provides several tools to simplify the creation of robustTransaction tests.

The correct approach is to leverage all available resources, makingOption Dthe definitive answer. First, theThousandEyes Recorder IDE(Option B) is a critical tool for non-scripters. It allows an engineer to perform the actual workflow—navigating to OneDrive, logging in, and initiating the download—in a browser environment on their local machine while the tool records every click and keyboard entry. The Recorder automatically generates the corresponding JavaScript code using theThousandEyes transaction library. Second, the platform provides pre-builtscript templates(Option A), such as those forOffice 365andOneDrive, which include baseline logic and best practices for these specific services. Third, the officialtransaction-scripting-examplesrepository on GitHub (Option C) is a maintained source of code snippets. This is particularly useful for implementing advanced logic, such as aretry mechanism, which ensures that the test does not report a "failure" due to a transient network hiccup but instead attempts the action again before triggering an alert.

As shown in the provided exhibit, a typical script uses import statements from @thousandeyes and selenium-webdriver to control the browser. By combining theRecorderfor the basic flow, aTemplatefor service-specific nuances, andSample Scriptsfor logic enhancements like retries, the engineer can deploy a highly reliable assurance test without deep coding expertise. Therefore, all three actions are highly recommended and valid within the ENNA implementation framework.

In the ThousandEyes platform, alert rules are the primary mechanism for notifying operations teams when performance thresholds are breached. When configuring alerts forEndpoint Agent HTTP Server tests, the available metrics are limited to those that the Endpoint Agent captures during its synthetic browser-based or network-layer probes.

The two correct metrics for this test type areResponse Time(Option A) andError Type(Option C).

Response Time:This metric measures the time-to-first-byte. It is essential for detecting degradations in web application performance as seen from the user's specific machine.

Error Type:This allows administrators to trigger alerts based on specific HTTP response codes or protocol errors (e.g., DNS failures or SSL handshake issues).

Other options are incorrect because they apply to different agent types or monitoring layers:

BGP Reachability (Option B):BGP metrics are not applicable to Endpoint Agent tests. These metrics require the BGP route visualization layer, which is typically associated with Cloud or Enterprise Agents monitoring public internet paths.

Interface Throughput (Option D):This is an infrastructure-level metric rather than a synthetic application metric. While ThousandEyes can monitor device health via SNMP, it is not a metric used in a synthetic HTTP Server test.

By utilizing Response Time and Error Type, an architect can ensure that the operations team is alerted as soon as users experience slow loading or actual failures when accessing critical internal or SaaS-based web applications.

In theDesigning and Implementing Enterprise Network Assurance (300-445 ENNA)curriculum, isolating performance issues on end-user machines requires a combination of application-layer experience data and local system telemetry. When an architect suspects that local hardware constraints, such as high CPU usage, are degrading the digital experience, theEndpoint Agentis the required vantage point.

The correct combination isReal User Tests > Endpoint, CPU utilization ≥ %(Option C). This alert configuration is effective for several reasons:

Targeted Visibility:It directly monitors the user's device (Endpoint) where the hardware bottleneck is suspected to reside.

Real-Time Context:By utilizingReal User Tests (RUM), the agent gathers performance data during actual user activity (e.g., browsing the web application). This ensures that the CPU spikes are correlated with active application usage, providing a representative view of the impact on experience.

Threshold Alerting:The condition monitors for CPU utilization exceeding a defined percentage threshold (≥ %). This allows IT teams to be notified only when the CPU load reaches problematic levels that are known to cause application sluggishness or browser "freezing".

Alternative options are less effective for this specific troubleshooting goal:

Option A:Monitors network loss, which would not identify a local CPU bottleneck.

Option B:Monitors path length (hops), which is a routing metric irrelevant to local hardware performance.

Option D:Monitors memory load during scheduled tests. While memory is a factor, the specific suspicion in this scenario is CPU utilization, and scheduled tests do not always capture the same load impact as a real user interacting with the browser.

Troubleshooting intermittent performance issues is a core component of theDesigning and Implementing Enterprise Network Assurance (300-445 ENNA)curriculum. When a transaction test using Basic Authentication fails randomly, the engineer must employ a multi-layered diagnostic approach to determine if the fault lies with the credentials, the network path, or the application server.

The first step is toverify the correctness of credentials(Option B). Because Basic Authentication encodes credentials in the header, any change in user permissions or account lockouts will trigger immediate failures. Performing manual logins from various geographical locations helps rule out location-based access control lists (ACLs) or regional IdP sync issues.

The most data-rich diagnostic step is toanalyze the ThousandEyes waterfall charts and HTTP response codes(Option C). The waterfall view allows the engineer to see if the failure happens during the initial 401 Unauthorized challenge or after the credentials are sent. If the charts show high "Wait Time" or 5xx errors, the issue is likely server-side latency or instability. If the "Connect Time" is high, the problem may be network-layer congestion.

Finally, if the telemetry indicates that the network path is healthy but the server is intermittently returning errors or timing out, the engineer shouldcontact the web application vendor(Option D). Providing the vendor with the specific ThousandEyes "Share Link" allows them to see the exact same packet-level and browser-level data, proving that the issue is not with the client's network but with the server-side infrastructure. Disabling authentication (Option A) is not a valid troubleshooting step for a test designed specifically to monitor an authenticated workflow.

In theDesigning and Implementing Enterprise Network Assurance (300-445 ENNA)framework, a common architectural hurdle is monitoring applications protected by Multi-Factor Authentication (MFA). ThousandEyes transaction tests utilize automated browser sessions to simulate user behavior, but they face inherent limitations when interacting with "out-of-band" security mechanisms.

Specifically, ThousandEyes agents cannot natively interact with external hardware tokens, biometric prompts, or mobile-app-based OTP generators (Option A). Since an OTP is dynamic and time-sensitive, manually entering it into a static test configuration (Option B) is impossible for an automated, recurring test. While some complex workhooks (Option C) might theoretically interface with a virtual MFA service, this introduces significant security risks and architectural complexity that is generally discouraged in a standard assurance design.

The verified and most practical approach is toexclude the MFA step from the transaction test and focus only on the SAML login(Option D). For monitoring purposes, IT teams often create a "synthetic user" account within the Identity Provider (IdP) that is specifically exempted from MFA policies when originating from known ThousandEyes Enterprise Agent IP addresses. This allows the transaction script to validate the availability and performance of the SAML-based SSO redirect, the credential challenge, and the final application landing page. This strategy ensures that the network and application health can be baselined without the test being blocked by a security gate it was never intended to pass.

In theDesigning and Implementing Enterprise Network Assurance (300-445 ENNA)implementation guide, the Cisco IOS XEApplication Hostinglifecycle 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 andinjects the updated configuration parametersinto 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 thedeactivate/activatesequence, 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, whileNo action(Option D) will result in no change to the agent's connectivity status.

TheDesigning 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 toreach 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 trafficfromAS 10297 does not solve the problem of your traffic beingattractedto 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 context ofDesigning and Implementing Enterprise Network Assurance (300-445 ENNA), analyzing page-load metrics within Cisco ThousandEyes requires identifying the primary bottlenecks that contribute to theTotal Page Load Time. The provided screenshot displays a "Page Breakdown" of 7 resources totaling 953 kB. A critical observation of the pie chart reveals thatImages(the teal-colored segment) constitute the vast majority of the page's payload and resource count.

When the goal is to reduce the page-load time from1023 msto below500 ms, the engineer must target the heaviest components.Lazy loadingis a design pattern that defers the initialization of non-critical resources at page load time. Instead of loading all images simultaneously when the userfirst navigates to the URL, lazy loading ensures that images are only downloaded as they are about to enter the viewport. This significantly reduces the initial DOM load time and the total Page Load Time because the browser does not have to wait for large image files to be fully retrieved before declaring the page "loaded."

Alternative options are less effective in this specific scenario based on the data:

AJAX (XHR/Fetch):The chart shows that XHR and Fetch resources represent a negligible sliver of the total weight; optimizing them would yield minimal gains.

Moving IMG elements:While moving scripts to the bottom can help with rendering, moving image elements to the bottom of the body does not stop the browser from initiating the download requests immediately, thus failing to significantly reduce the total load time.

CDN for Fonts:The "Font" category is also a small fraction of the total 953 kB. While a CDN is a best practice for latency, it does not address the primary "weight" issue caused by the images.

Therefore, implementinglazy loading(Option C) is the most impactful recommendation. It directly addresses the largest resource consumer (Images) identified in the ThousandEyes Page Breakdown, allowing the engineer to reach the sub-500 ms performance target.