SRAN-Radio-Network-Performance-Optimization Detailed Study Dumps, SRAN-Radio-Network-Performance-Optimization Actual Exam Dumps

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

SectionObjectives
Topic 1: LTE/NR Performance Optimization- Optimization techniques
  • 1. Handover optimization
    • 2. Scheduling and resource allocation optimization
      Topic 2: Radio Network Performance Fundamentals- Key performance indicators (KPIs)
      • 1. Accessibility, retainability, and mobility KPIs
        • 2. Throughput and latency KPIs
          Topic 3: Troubleshooting and Performance Analysis- Network issue identification and resolution
          • 1. Fault analysis workflows
            • 2. Performance degradation root cause analysis
              Topic 4: RF Optimization Principles- Coverage and capacity optimization
              • 1. Coverage analysis and enhancement
                • 2. Interference analysis and mitigation
                  Topic 5: SRAN Architecture Overview- SRAN network structure and components
                  • 1. Radio access network elements overview
                    • 2. LTE/NR integration principles

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                      Nokia MN: NCSS NPS - SRAN Radio Network Performance Optimization Certification Exam | GS40-NPS-SRPER-E-S03-2510 Sample Questions (Q17-Q22):

                      NEW QUESTION # 17
                      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: C

                      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 # 18
                      In the case of 5G SA, which of the following triggers the Radio Link Failure, or RLF, handling mechanism?

                      Answer: B

                      Explanation:
                      The correct answer is C.
                      In 5G SA, Radio Link Failure handling is mainly UE-driven. The UE monitors the radio link quality using lower-layer indications such as in-sync and out-of-sync indications. If the UE receives enough out-of-sync indications, it starts the relevant RLF timer, commonly associated with T310 behavior. If the link does not recover before the timer expires, the UE declares Radio Link Failure and starts recovery, such as RRC re- establishment.
                      The gNodeB can detect uplink problems and may release or reconfigure the UE, but the classical RLF handling mechanism is triggered at the UE side.
                      So the correct answer is:
                      UE indication timer only.


                      NEW QUESTION # 19
                      Which of the following statements does not apply to mmWave radio propagation ?

                      Answer: D

                      Explanation:
                      The correct answer is C .
                      At mmWave / FR2 frequencies , radio propagation is more challenging than in low-band or mid-band spectrum. Diffraction becomes weaker, blockage is more severe, foliage attenuation is high, and building penetration loss is significant. This is why mmWave networks usually require dense site grids, line-of-sight or near-line-of-sight paths, and strong beamforming. Industry mmWave references consistently describe high path loss, high penetration loss, and the need for directional antenna systems to compensate for these losses.
                      Option C does not apply because water absorption and atmospheric absorption generally become more relevant at higher frequencies, not lower. Rain, humidity, and oxygen/water-vapor absorption are important considerations for mmWave link budgets.
                      So the statement that does not apply to mmWave propagation is:
                      Low water absorption at high frequencies.


                      NEW QUESTION # 20
                      What is the role of admission control in 5G networks ?

                      Answer: D


                      NEW QUESTION # 21
                      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: A

                      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 # 22
                      ......

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