You may be get refused by so many SRAN-Radio-Network-Performance-Optimization study dumps in thehe present market, facing so many similar SRAN-Radio-Network-Performance-Optimization study guide , so how can you distinguish the best one among them? We will give you some suggestions, first of all, you need to see the pass rate, for all the efforts we do to the SRAN-Radio-Network-Performance-Optimization Study Dumps is to pass . Our company guarantees the high pass rate. Second, you need to see the feedback of the customers, since the customers have used it, and they have the evaluation of the SRAN-Radio-Network-Performance-Optimization study guide.
| Section | Weight | Objectives |
|---|---|---|
| Radio Network Performance Monitoring | 20-25% | - KPI definition and measurement - Performance data collection and analysis - Performance monitoring tools and dashboards - Real-time network monitoring techniques - Threshold configuration and alerting |
| Performance Troubleshooting | 20-25% | - Root cause analysis methodologies - Troubleshooting tools utilization - Common performance issues diagnosis - Optimization case studies - Network failure identification and resolution |
| SRAN Architecture and Fundamentals | 15-20% | - SRAN solution components and functions - Single RAN integration principles - SRAN network architecture overview - Radio access concepts and principles |
| SRAN Optimization Tools and Reports | 10-15% | - Automated optimization features - Nokia NetAct and performance tools - Report generation and interpretation - Configuration management for optimization |
| Radio Network Optimization Techniques | 25-30% | - Load balancing techniques - Handover optimization - Interference analysis and mitigation - Coverage optimization methods - Parameter tuning best practices - Capacity optimization strategies |
>> SRAN-Radio-Network-Performance-Optimization Valid Test Notes <<
You can try the free demo version of any SRAN-Radio-Network-Performance-Optimization exam dumps format before buying. For your satisfaction, ITExamSimulator gives you a free demo download facility. You can test the features and then place an order. So, these real and updated Nokia SRAN-Radio-Network-Performance-Optimization Dumps are essential to pass the SRAN-Radio-Network-Performance-Optimization exam on the first try.
NEW QUESTION # 10
A slice supporting sensors and smart meters would be categorized as:
Answer: C
Explanation:
The correct answer is A .
Sensors and smart meters are typical massive IoT use cases. They usually involve a very large number of devices sending small amounts of data, often with low mobility and low power requirements.
This type of traffic fits mMTC , or massive Machine Type Communications .
Why the other options are not correct:
URLLC is used for very low-latency and highly reliable services, such as industrial automation, remote control, or mission-critical applications.
eMBB is used for high-throughput broadband services, such as video, fixed wireless access, or enhanced mobile internet.
DNN is not a slice category. It means Data Network Name and identifies the data network the UE connects to, similar to APN in LTE.
Therefore, a slice supporting sensors and smart meters is categorized as:
mMTC.
NEW QUESTION # 11
The CB009425 feature provides several enhancements to improve the transmission link budget for VoNR, offering a better customer experience. Which statements are correct regarding this feature?
Answer: D
Explanation:
The correct answer is D.
The feature is focused on improving VoNR link robustness and user experience, especially near the cell edge or in difficult RF conditions. VoNR is sensitive to packet loss, delay, and uplink coverage limitations.
Therefore, link-budget improvement features commonly target BLER behavior, transport block sizing, and MCS robustness.
Statement A is correct because minimizing Packet Loss Rate, or PLR, directly improves VoNR speech quality and reduces mute, clipping, or robotic voice effects.
Statement B is correct because VoNR bearers can use specific initial BLER targets. A more suitable BLER target helps the scheduler choose a more robust MCS for voice traffic.
Statement C is correct because a configurable uplink minimum TBS, or Transport Block Size, helps ensure that small VoNR packets are transmitted efficiently and reliably.
Statement D is correct because MCS downgrade control can improve robustness by selecting a more conservative modulation and coding scheme for VoNR DRBs when radio conditions require it.
Therefore, all listed enhancements are part of the VoNR link-budget improvement concept:
A, B, C, and D.
NEW QUESTION # 12
Identify the missing network components X, Y, and Z in the architecture diagram.
Answer: A
Explanation:
The correct answer is B .
In the 5G Core , component X is connected to:
N2 from NG-RAN
N11 toward SMF
N15 toward PCF
N26 toward the EPC mobility entity
These are typical interfaces of the AMF , or Access and Mobility Management Function . Therefore, X = AMF .
In the EPC , component Z is connected to:
S1-MME from eNB
S11 toward the gateway
N26 toward the 5GC AMF
These are typical interfaces of the MME , or Mobility Management Entity . Therefore, Z = MME .
Component Y is outside the core user-plane path and represents the external service network connected through N6/SGi , commonly shown as IMS in voice-service architecture diagrams. Therefore, Y = IMS .
So the correct mapping is:
X: AMF, Y: IMS, Z: MME.
NEW QUESTION # 13
Which statement is not true about MantaRay SON ?
Answer: C
Explanation:
The correct answer is B .
The statement "Energy savings management is not covered" is not true . Nokia describes MantaRay SON as supporting radio network performance, quality, and energy efficiency optimization. Nokia also references AI-powered energy savings management and RAN energy efficiency use cases under its SON/MantaRay automation portfolio.
The other statements are aligned with Nokia SON/MantaRay positioning. Nokia describes MantaRay SON as an automation layer within the MantaRay SMO framework, with support for multi-supplier/non-real-time RIC functionality and an application ecosystem. Nokia also has historical EdenNet SON material, including EdenNet SON Energy Saving Management.
Therefore, the statement that is not true is:
Energy savings management is not covered.
NEW QUESTION # 14
In a high-mobility network, the maximum cell size must be restricted to 33 km . Which PRACH format and restricted-set type should be used?
Answer: B
Explanation:
The correct answer is Format 1 / Type B .
For PRACH planning, the selected preamble format must support the required cell radius. Format 0 is too short for a 33 km cell because it is typically suitable only up to around 14.5 km . Format 2 is also not suitable because its practical maximum cell radius is around 29.5 km , which is below the required 33 km . Therefore, a longer PRACH format is needed.
Because the scenario mentions high mobility , an unrestricted PRACH set is not preferred. High-mobility environments require a restricted set to handle Doppler effects and reduce ambiguity in PRACH preamble detection. Between the restricted-set options, Type B is the correct choice for this 33 km high-mobility case.
A matching Nokia-style question source also lists this exact scenario with Format 1 / Type B as option A.
NEW QUESTION # 15
......
To succeed on the Nokia SRAN-Radio-Network-Performance-Optimization exam, you require a specific Nokia SRAN-Radio-Network-Performance-Optimization exam environment to practice. But before settling on any one method, you make sure that it addresses their specific concerns about the SRAN-Radio-Network-Performance-Optimization exam, such as whether or not the platform they are joining will aid them in passing theMN: NCSS NPS - SRAN Radio Network Performance Optimization Certification Exam | GS40-NPS-SRPER-E-S03-2510 (SRAN-Radio-Network-Performance-Optimization) exam on the first try, whether or not it will be worthwhile, and will it provide the necessary SRAN-Radio-Network-Performance-Optimization Questions.
Reliable SRAN-Radio-Network-Performance-Optimization Exam Labs: https://www.itexamsimulator.com/SRAN-Radio-Network-Performance-Optimization-brain-dumps.html