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

SectionWeightObjectives
Topic 1: Radio Network Performance Monitoring20-25%- Real-time network monitoring techniques
- Performance data collection and analysis
- Threshold configuration and alerting
- KPI definition and measurement
- Performance monitoring tools and dashboards
Topic 2: SRAN Optimization Tools and Reports10-15%- Nokia NetAct and performance tools
- Report generation and interpretation
- Configuration management for optimization
- Automated optimization features
Topic 3: Radio Network Optimization Techniques25-30%- Capacity optimization strategies
- Handover optimization
- Coverage optimization methods
- Interference analysis and mitigation
- Load balancing techniques
- Parameter tuning best practices
Topic 4: Performance Troubleshooting20-25%- Troubleshooting tools utilization
- Root cause analysis methodologies
- Optimization case studies
- Network failure identification and resolution
- Common performance issues diagnosis
Topic 5: SRAN Architecture and Fundamentals15-20%- Single RAN integration principles
- Radio access concepts and principles
- SRAN solution components and functions
- SRAN network architecture overview

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Nokia MN: NCSS NPS - SRAN Radio Network Performance Optimization Certification Exam | GS40-NPS-SRPER-E-S03-2510 Sample Questions (Q16-Q21):

NEW QUESTION # 16
A customer complains about coverage reduction after modernization of 4G TDD 4x4 sites to Concurrent mMIMO B41/n41 with AEHC module 64T64R . Which of the following statements regarding RF design changes to increase the coverage is correct?

Answer: B

Explanation:
The correct answer is C .
In a Concurrent mMIMO B41/n41 AEHC 64T64R deployment, LTE and NR share the same Massive MIMO active antenna system. Public Nokia material identifies AEHC as an AirScale Massive MIMO
64T64R B41 radio product, and Nokia's AirScale Massive MIMO portfolio is designed for high-capacity 5G
/RAN deployments.
Unlike a passive antenna system where coverage is changed mainly by physical/electrical RET, Massive MIMO coverage is strongly influenced by beamforming profiles and beamforming weight parameters . In concurrent LTE/NR operation, the RF design must consider the shared active antenna behavior, not independent passive RET-style tilt control per technology.
Therefore, for concurrent 4G/5G mMIMO coverage adjustment, the correct statement is:
The tilt/coverage behavior for both 4G and 5G is controlled by mMIMOSecSectorBFProfName and beamforming weight profile parameters.


NEW QUESTION # 17
Which of the following statements about CBRA , or contention-based random access , is correct?

Answer: C

Explanation:
The correct answer is B .
In contention-based random access , the UE chooses a random access preamble by itself from a configured pool of available contention-based preambles. This is typically used when the UE does not yet have a dedicated connection or when the network has not assigned a dedicated preamble.
Because multiple UEs may choose the same preamble at the same time, preamble collision is possible . That is why CBRA requires a contention resolution step.
Option C describes contention-free random access , not CBRA. In contention-free random access, the network assigns a dedicated preamble to the UE, so collision risk is avoided and contention resolution is not required.
Option A is not the correct CBRA principle being tested. RACH false detection can be a receiver/design issue, but it does not define the CBRA procedure.
Option D describes a possible NSA signaling behavior around access failure handling, but it is not the core correct definition of CBRA.
Therefore, the correct CBRA statement is:
The UE autonomously selects a preamble from the configured range and starts the random access procedure.


NEW QUESTION # 18
Which of the following best describes one of the primary purposes of the Coverage and Quality use case?

Answer: D

Explanation:
The correct answer is B .
The Coverage and Quality use case is used in network planning and optimization to identify RF problem areas. These may include:
Low RSRP or weak coverage areas
Poor SINR or low radio quality areas
High interference zones
Overshooting cells
Coverage holes
Areas where users experience poor throughput or poor accessibility
This type of use case helps NPO engineers prioritize optimization actions such as antenna tilt changes, azimuth changes, parameter tuning, neighbor optimization, power adjustment, or site expansion.
The other options are not the primary purpose:
VPN tunnel configuration is a connectivity/security task.
LCBIN-to-CSV conversion is a data processing task.
Replacing the Kronos parser is a tool-chain or troubleshooting function, not the main purpose of coverage and quality analysis.
So the best answer is:
To identify problem areas such as low coverage or high interference.


NEW QUESTION # 19
Which statement is not true about MantaRay SON ?

Answer: B

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 # 20
Evaluate the impact of using MantaRay SON's centralized PCI optimization module compared to distributed SON implementations.

Answer: D

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 # 21
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