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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Advanced Optimization and SON Features | 10% | - Energy saving and advanced features - Self-Organizing Networks (SON) use cases and optimization |
| Topic 2: Quality of Service and Resource Management | 15% | - QoS parameters, scheduling and admission control - Radio resource management and optimization |
| Topic 3: SRAN Performance Optimization Fundamentals | 25% | - Network performance monitoring and analysis tools - Performance optimization principles and methodology - Key performance indicators (KPIs) definition and measurement |
| Topic 4: Coverage and Capacity Optimization | 30% | - Interference analysis and mitigation techniques - Capacity planning, load balancing and optimization - Coverage analysis, tuning and optimization |
| Topic 5: Mobility and Handover Optimization | 20% | - Mobility robustness and optimization - Handover parameters and algorithms - Inter-RAT mobility and optimization |
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NEW QUESTION # 25
In the context of mmWave deployments , what is the primary benefit of analog beamforming ?
Answer: C
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 # 26
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 # 27
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 # 28
A slice supporting sensors and smart meters would be categorized as:
Answer: B
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 # 29
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: C
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 # 30
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