SRAN-Radio-Network-Performance-Optimization Reliable Practice Questions & SRAN-Radio-Network-Performance-Optimization Related Certifications

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Nokia SRAN-Radio-Network-Performance-Optimization Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Coverage and Capacity Optimization30%- Coverage analysis, tuning and optimization
- Interference analysis and mitigation techniques
- Capacity planning, load balancing and optimization
Topic 2: SRAN Performance Optimization Fundamentals25%- Performance optimization principles and methodology
- Key performance indicators (KPIs) definition and measurement
- Network performance monitoring and analysis tools
Topic 3: Mobility and Handover Optimization20%- Inter-RAT mobility and optimization
- Handover parameters and algorithms
- Mobility robustness and optimization
Topic 4: Quality of Service and Resource Management15%- QoS parameters, scheduling and admission control
- Radio resource management and optimization
Topic 5: Advanced Optimization and SON Features10%- Self-Organizing Networks (SON) use cases and optimization
- Energy saving and advanced features

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Nokia MN: NCSS NPS - SRAN Radio Network Performance Optimization Certification Exam | GS40-NPS-SRPER-E-S03-2510 Sample Questions (Q10-Q15):

NEW QUESTION # 10
Which of these is a software solution targeted to provide NPO projects access to rich datasets, modern data analysis and visualization tools, with a high level of automation capability?

Answer: C

Explanation:
The correct answer is D .
NPAS is the correct software solution in this context. A public technical source describes NPAS as providing access to rich datasets and modern data analysis and visualization tools , which matches the wording of the question closely.
In Nokia/NPO project context, this type of platform is used to support network planning and optimization activities by enabling data ingestion, analysis, visualization, and automation. This helps engineers work with large RAN datasets more efficiently during optimization, modernization, and performance-improvement projects.
The other options are not the best match:
GeoSynthesis is more associated with geospatial/planning-style use cases.
MantaRay SON is related to SON automation and optimization functions.
LTEPAT is more LTE-focused and does not match the described broad analytics platform role.
Therefore, the correct answer is:
NPAS.


NEW QUESTION # 11
In NR SA Option 2, the UE is camped on an SA serving cell. An IRAT handover is triggered for a multi-QCI call, QCI 1 and QCI 6, due to weak coverage of the serving cell. What will happen to both QCIs during the IRAT handover toward LTE?

Answer: C

Explanation:
The correct answer is D.
In 5G SA Option 2, NR works independently with the 5G Core, but interworking with LTE/EPC can be supported for mobility continuity. When IRAT handover toward LTE is triggered due to weak NR coverage, the goal is to preserve the active services during mobility.
For a multi-QCI service:
QCI 1 normally represents the voice bearer, such as VoLTE/IMS voice continuity after movement to LTE.
QCI 6 normally represents a non-GBR data bearer.
During a supported IRAT handover from NR SA to LTE, both the voice bearer and data bearer can be transferred to LTE, assuming proper interworking, bearer mapping, and LTE coverage availability.
Option C is incorrect because IRAT mobility from NR SA to LTE is supported in properly configured networks. Option A is incorrect because the voice bearer is the most critical bearer to preserve. Option B is also not the best answer because the data bearer does not necessarily need to be released during IRAT handover.
Therefore, the expected result is:
Both QCI 1 voice and QCI 6 data continue on LTE.


NEW QUESTION # 12
Evaluate the impact of using MantaRay SON's centralized PCI optimization module compared to distributed SON implementations.

Answer: A

Explanation:
The correct answer is C .
A centralized SON approach has broader network-level visibility than a purely distributed implementation.
For PCI optimization , this is important because PCI conflicts, PCI confusion, and neighbor-related PCI issues are not always local to one cell. They may involve several neighboring cells, multiple layers, and sometimes multiple vendors.
Nokia positions MantaRay SON as a centralized, AI-powered network optimization and automation platform for improving RAN quality, efficiency, and customer experience. Nokia also describes MantaRay SON as supporting multi-supplier/non-real-time RIC functionality in the MantaRay SMO framework.
So compared with distributed SON, centralized PCI optimization can better analyze wider-area PCI relationships and resolve PCI problems across multi-vendor or multi-layer networks.
Therefore, the correct statement is:
Centralized PCI optimization can identify and resolve PCI issues across multi-vendor networks.


NEW QUESTION # 13
What is the role of admission control in 5G networks ?

Answer: A


NEW QUESTION # 14
In the context of mmWave deployments , what is the primary benefit of analog beamforming ?

Answer: D

Explanation:
The correct answer is A .
In mmWave systems, beamforming is essential because FR2 signals suffer from high path loss and blockage.
Analog beamforming uses fewer RF chains than fully digital beamforming, so it is cheaper and less complex in terms of RF hardware, power consumption, and implementation. Research and industry references explain that analog and hybrid beamforming architectures reduce the number of required ADCs/RF chains compared with fully digital beamforming, lowering cost and power complexity.
However, analog beamforming has limitations. It usually forms one beam, or a limited number of beams, at a time from a panel. Supporting multiple independent simultaneous beams and more UEs per sector is more associated with digital or hybrid beamforming, not pure analog beamforming.
Therefore, the primary benefit is:
Low cost and low complexity for coverage at higher mmWave bands.


NEW QUESTION # 15
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