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| Certification Vendor: | Cisco |
|---|---|
| Exam Name: | Designing and Implementing Enterprise Network Assurance |
| Exam Number: | 300-445 ENNA |
| Exam Price: | $300 USD |
| Certificate Validity Period: | 3 years |
| Exam Format: | Simulation, Fill-in-the-blank, Drag-and-drop, Multiple choice |
| Real Exam Qty: | 55-65 |
| Passing Score: | Pass/Fail (no fixed score published) |
| Available Languages: | English |
| Related Certifications: | CCNP Enterprise Cisco Certified Specialist โ Enterprise Network Assurance |
| Exam Duration: | 90 minutes |
| Recommended Training: | Designing and Implementing Enterprise Network Assurance (ENNA) Training Cisco U. Learning Path |
| Exam Registration: | Pearson VUE Registration |
| Sample Questions: | Cisco 300-445 Sample Questions |
| Exam Way: | Online proctored or onsite at Pearson VUE test centers |
| Pre Condition: | No mandatory prerequisites; recommended knowledge: CCNP Enterprise level, experience with Cisco DNA Center, network monitoring, and assurance tools; core exam 350-401 ENCOR required for full CCNP Enterprise |
| Official Syllabus URL: | https://www.cisco.com/site/us/en/learn/training-certifications/exams/enna.html |
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NEW QUESTION # 110
Which optimization recommendations for network capacity planning are based on data interpretation in network assurance?
Answer: B,C,F
Explanation:
Optimization recommendations for network capacity planning based on data interpretation may include topology changes, configuration changes, and Quality of Service (QoS) adjustments to ensure optimal network performance and resource utilization.
NEW QUESTION # 111
In which scenario would deploying an endpoint agent on Room OS devices be most beneficial?
Answer: B
Explanation:
Deploying an endpoint agent on Room OS devices would be most beneficial for diagnosing real-time streaming issues, allowing for comprehensive monitoring and troubleshooting.
NEW QUESTION # 112
Which RFC standardizes the concept of active monitoring in network assurance?
Answer: C
Explanation:
RFC 7799 standardizes the framework for active monitoring, providing guidelines for real-time data collection and analysis.
NEW QUESTION # 113
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 # 114
Which of the following is an example of active monitoring in network performance management?
Answer: B
Explanation:
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. Active monitoring (Option C) is characterized by the generation of synthetic or
"probes" traffic specifically designed to measure network performance. 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.
NEW QUESTION # 115
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