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Cisco 300-445 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Data Collection Implementation: This domain focuses on deploying enterprise and endpoint agents across infrastructure and end-user devices. It covers configuring network, DNS, voice, web, and endpoint tests using ThousandEyes and Meraki Insights, along with implementing synthetic web tests and authentication methods.
Topic 2
  • Data Analysis: This domain encompasses diagnosing network issues like packet loss, congestion, routing, and jitter, plus end-device problems. It includes analyzing web application performance and identifying security threats such as DDoS attacks, DNS hijacking, and BGP hijacking.
Topic 3
  • Platforms and Architecture: This domain covers understanding monitoring agent types and placement, active versus passive monitoring, and ThousandEyes WAN Insights. It addresses Cisco platform integrations, metric baselines, and selecting appropriate integration methods and assurance platforms based on business requirements.
Topic 4
  • Insights and Alerts: This domain addresses configuring alert rules based on network conditions and end-user experience factors. It covers selecting metrics for stakeholders, validating alerts, and recommending network optimization for capacity planning.

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Cisco Designing and Implementing Enterprise Network Assurance Sample Questions (Q48-Q53):

NEW QUESTION # 48
A company is noticing sporadic slowdowns in their web application performance, impacting user experience. They suspect it might be related to high CPU utilization on employee laptops, potentially caused by background processes. Which ThousandEyes alert type and condition combination would be most effective in identifying if endpoint CPU performance is contributing to this issue?

Answer: D

Explanation:
In the Designing 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, the Endpoint Agent is the required vantage point.
The correct combination is Real 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 utilizing Real 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".


NEW QUESTION # 49
The alert shown in the exhibit is designed to detect which of the following network security issues?

Answer: D

Explanation:
As shown in Exhibit 4.1-1 (image_6e19fb.png), the alert rule is configured for the BGP layer with the name " AS origin AS 1234 " . The critical logic is defined in the Alert Conditions section, which specifies: BGP Origin meets all of: ASN not in 1234.
This specific configuration is the standard method used in ThousandEyes to detect BGP hijacking (Option C). BGP hijacking occurs when an unauthorized Autonomous System (AS) announces a network prefix that it does not own, effectively stealing the traffic meant for the legitimate owner. By setting an alert that triggers when a monitored prefix is seen originating from an Autonomous System Number (ASN) that is not the expected authorized ASN (in this case, AS 1234), ThousandEyes provides immediate notification of a routing takeover.
Identifying this via BGP Origin alerts is superior to simple connectivity checks because it catches the issue at the routing control plane.
* DNS Issues (Options B and D): These involve the translation of names to IPs and would be detected via DNS-specific tests rather than BGP Origin checks.
* Route Poisoning (Option A): This is a generic term often referring to the manipulation of distance- vector protocol metrics to make a route unreachable; while related to routing, BGP Origin checks are the specific tool for detecting external prefix hijacks.
By monitoring the ASN origin, network engineers can quickly distinguish between a local ISP outage and a global security event where their traffic is being misdirected to an illegitimate network.


NEW QUESTION # 50
How does topology optimization contribute to network capacity planning?

Answer: A

Explanation:
Topology optimization contributes to network capacity planning by maximizing network efficiency, improving data flow, and reducing network latency.


NEW QUESTION # 51
A network administrator observes a recurring pattern in their Cisco SD-WAN: during peak business hours, users at a specific branch office experience poor voice call quality, characterized by choppy audio and delays.
6 The administrator suspects that network congestion is contributing to this issue and wants to leverage ThousandEyes WAN Insights to improve the situation proactively. Which capability of WAN Insights is most relevant to this scenario?

Answer: A

Explanation:
According to theDesigning and Implementing Enterprise Network Assurance (300-445 ENNA) curriculum,ThousandEyes WAN Insightsis a predictive analytics solution designed to transform network management from a reactive to a proactive model.10In 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 isanalyzing historical SD-WAN performance datato generate path recommendations(Option B). WAN Insights integrates withCisco Catalyst SD-WAN Manager (vManage) andvAnalyticsto ingest massive volumes of telemetry.12It 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 theApplication-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 tha15n generating its own synthetic voice16probes. 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


NEW QUESTION # 52
Which RFC defines the framework for passive performance monitoring in network assurance?

Answer: B

Explanation:
RFC 7276 defines the framework for passive performance monitoring, providing guidelines for collecting and analyzing network performance data in network assurance.


NEW QUESTION # 53
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