You can adjust the speed and keep vigilant by setting a timer for the simulation test. At the same time online version of SRAN-Radio-Network-Performance-Optimization test preps also provides online error correction— through the statistical reporting function, it will help you find the weak links and deal with them. Of course, you can also choose two other versions. The contents of the three different versions of SRAN-Radio-Network-Performance-Optimization learn torrent is the same and all of them are not limited to the number of people/devices used at the same time.
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Radio Network Optimization Techniques | 25-30% | - Load balancing techniques - Handover optimization - Interference analysis and mitigation - Coverage optimization methods - Capacity optimization strategies - Parameter tuning best practices |
| Topic 2: Performance Troubleshooting | 20-25% | - Common performance issues diagnosis - Optimization case studies - Network failure identification and resolution - Root cause analysis methodologies - Troubleshooting tools utilization |
| Topic 3: Radio Network Performance Monitoring | 20-25% | - Real-time network monitoring techniques - Threshold configuration and alerting - Performance monitoring tools and dashboards - KPI definition and measurement - Performance data collection and analysis |
| Topic 4: SRAN Optimization Tools and Reports | 10-15% | - Report generation and interpretation - Automated optimization features - Nokia NetAct and performance tools - Configuration management for optimization |
| Topic 5: SRAN Architecture and Fundamentals | 15-20% | - Radio access concepts and principles - SRAN solution components and functions - SRAN network architecture overview - Single RAN integration principles |
>> SRAN-Radio-Network-Performance-Optimization Exam Review <<
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NEW QUESTION # 17
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 # 18
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: C
NEW QUESTION # 19
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: C
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 # 20
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: D
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 # 21
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 # 22
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