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Cisco 300-445 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 2
  • 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 3
  • 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 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 (Q14-Q19):

NEW QUESTION # 14
Which location for an agent would be most suitable for diagnosing local network issues effectively?

Answer: A

Explanation:
Placing an agent at the default gateway allows for monitoring and diagnosing issues related to local network connectivity effectively.


NEW QUESTION # 15
Refer to Exhibit:

A network engineer is deploying a Cisco ThousandEyes agent to monitor the network for a SaaS application without affecting the performance of the employee endpoints. Which ThousandEyes agent must be deployed to obtain the network metrics from branch A?

Answer: D

Explanation:
In the framework of Designing 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.
The Enterprise 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 as Cisco Catalyst 9300/9400 switches or Catalyst 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 Agents are 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 Agents are 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 Agent is a non-standard term and does not exist as a standalone agent type within the ThousandEyes architecture.
Therefore, deploying an Enterprise Agent within 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.


NEW QUESTION # 16
Refer to the exhibit.

Which integration type should be configured between ThousandEyes and Grafana?

Answer: D

Explanation:
In theDesigning and Implementing Enterprise Network Assurance (300-445 ENNA)curriculum, the evolution of network monitoring includes moving from periodic polling to real-time data streaming. The exhibit displays a curl command targeting the ThousandEyes API v7 /stream endpoint. When integrating ThousandEyes with high-performance observability platforms likeGrafana, the standardized and recommended method for machine-to-machine data exchange is throughOpenTelemetry (OTel).
According to the ENNA architecture guidelines, the ThousandEyesStreaming APIallows users to push granular test metrics (such as network latency, packet loss, and jitter) to external collectors in an OTel- compatible format. In the provided JSON payload, the "type" field is a mandatory parameter that defines the integration protocol. For Grafana, which natively supports OpenTelemetry Protocol (OTLP) via its OpenTelemetry Collector, the value must be set to"opentelemetry"(Option A). This tells the ThousandEyes streaming engine to encapsulate the data according to the OTel semantic conventions, ensuring that Grafana can correctly interpret and visualize the metrics without additional custom parsing logic.
While other options exist in the ThousandEyes ecosystem, they do not fit the specific API call shown for this use case:
* Custom Webhooks(Option B) are typically used for event-driven alerts and notifications (e.g., sending a POST request when a threshold is breached) rather than continuous high-fidelity metric streaming.
* Push-apiandpoll-api(Options C and D) are not valid "type" values within the context of the v7 /stream endpoint, as the streaming service specifically utilizes the OpenTelemetry framework for real-time delivery.
By selectingopentelemetry, the network engineer enables a robust "push-based" integration that provides real- time visibility into application performance and network health, leveraging Grafana's advanced dashboarding capabilities to analyze ThousandEyes telemetry data alongside other enterprise infrastructure metrics.
Introduction to ThousandEyes for OpenTelemetry
This video provides a foundational understanding of how ThousandEyes uses modern streaming frameworks to export critical performance data to external observability platforms.


NEW QUESTION # 17
What advantage does the integration of ThousandEyes with Cisco technologies offer for troubleshooting?

Answer: C


NEW QUESTION # 18
Which network condition is commonly monitored using alert rules related to internet insights?

Answer: D

Explanation:
Global network latency is commonly monitored using alert rules related to internet insights to assess the performance and reliability of internet connections and identify potential network issues.


NEW QUESTION # 19
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