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Um in der IT-Branche große Fortschritte zu machen, entscheiden sich viele ambitionierte IT-Profis dafür, die Cisco 300-445 Zertifizierungsprüfung abzulegen und somit das IT-Zertifikat zu bekommen. Wegen des schwierigkeitsgrades der Cisco 300-445 Zertifizierungsprüfung ist die Erfolgsquote sehr niedrig. Aber es ist doch eine weise Wahl, an der Cisco 300-445 Zertifizierungsprüfung teilzunehmen, denn in der heutigen konkurrenzfähigen IT-Branche muss man sich immer noch verbessern. Und Sie können auch viele Methoden wählen, die Ihnen beim Bestehen der Prüfung helfen.
| Section | Objectives |
|---|---|
| Topic 1: Data Analysis | - Identify trends and anomalies
|
| Topic 2: Insights and Alerts | - Generate and interpret insights
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| Topic 3: Data Collection Implementation | - Configure data collection for network devices
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| Topic 4: Platforms and Architecture | - Describe network assurance platforms
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Zweifellos braucht die Vorbereitung der Cisco 300-445 Prüfung große Mühe. Aber diese Zertifizierungsprüfung zu bestehen bedeutet, dass Sie in IT-Gewerbe bessere Berufsperspektive besitzen. Deshalb was wir für Sie tun können ist, lassen Ihre Anstrengungen nicht umsonst geben. Die Wirkung und die Autorität der Cisco 300-445 Prüfungssoftware erwerbt die Anerkennung vieler Kunden. Solange Sie die demo kostenlos downloaden und probieren, können Sie es empfinden. Wir wollen Ihnen mit allen Kräften helfen, Die Cisco 300-445 zu bestehen!
90. Frage
What Meraki platform supports ThousandEyes?
Antwort: C
Begründung:
According to theDesigning and Implementing Enterprise Network Assurance (300-445 ENNA) curriculum, the native integration of ThousandEyes within the Meraki portfolio is specifically focused on the Meraki MXsecurity and SD-WAN appliances. This integration allows users to install ThousandEyes Enterprise Agents directly on supported Meraki MX hardware, providing critical visibility into the performance of services that distributed users rely on.4 TheMeraki MX (Option A)supports the ThousandEyes Enterprise Agent as a containerized service that can be activated with a single click within the Meraki Dashboard.5This integration is designed to provide better monitoring and testing capabilities for customers interested in improving the quality of their experience and adding the appropriate SD-WAN policies to optimize network performance. By running the agent natively on the MX, administrators can monitor the performance of external applications and services directly from the SD-WAN sites, bridging the gap between local branch health and global internet performance.6 While Cisco continues to expand its assurance integrations across the portfolio, theMR (Wireless),MS (Switching),MV (Camera), andMG (Cellular)series do not currently support the native, "on-box" execution of the ThousandEyes Enterprise Agent. For these other platforms, visibility is typically achieved through passive monitoring viaMeraki Insight (MI)or by deploying ThousandEyes agents on connected client devices (Endpoint Agents) or nearby infrastructure. Therefore, theMeraki MXis the only verified platform supporting native ThousandEyes agent deployment in this context.
91. Frage
Refer to the exhibit.
An engineer must use Cisco ThousandEyes testing to monitor their Cisco Catalyst SD-WAN fabric. Which SD-WAN component is being monitored by ThousandEyes?
Antwort: D
Begründung:
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.
92. Frage
Refer to the exhibit.
A network engineer is tasked with configuring an alert that will trigger if the HTTP server responds with a server error. What alert conditions should be configured to meet the specified requirements?
Antwort: A
Begründung:
56
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.
93. Frage
What is an important consideration when choosing a time period for collecting data to establish a baseline for interface utilization on a critical network link?
Antwort: A
Begründung:
Establishing an accurate baseline is a cornerstone of theDesigning and Implementing Enterprise Network Assurance (300-445 ENNA)methodology. A baseline must represent the "typical" behavior of the network across its standard operating cycle to be useful for anomaly detection and capacity planning. When monitoring interface utilization on a critical link, it is vital tocapture both peak and off-peak traffic patterns (Option C).
Most enterprise networks exhibit cyclical traffic patterns, often referred to as "diurnal" cycles, where utilization spikes during business hours (peak) and drops significantly at night or on weekends (off-peak). If an engineer only collects data during the lowest volume period (Option A), the baseline will be unrealistically low, leading to "false positive" alerts when normal business traffic returns. Conversely, only capturing peak data might hide background synchronization tasks or backup windows that occur during off-hours.
By selecting a representative time period-typically one full week or a month-the engineer ensures the baseline accounts for variations such as Monday morning "logon storms," mid-week steady states, and weekend maintenance. This comprehensive view allows the assurance platform (such asCisco Catalyst CenterorThousandEyes) to calculate a standard deviation and establish dynamic thresholds. If utilization deviates from these historically representative norms, the system can trigger an alert based on a true anomaly rather than a predictable daily surge. Aligning with a financial year (Option B) is irrelevant to technical performance, and limiting the data (Option D) compromises the baseline's statistical validity.
94. Frage
Why might an organization choose digest over basic authentication when configuring tests?
(Choose Two)
Antwort: A,C
95. Frage
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