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| Section | Weight | Objectives |
|---|---|---|
| Advanced Optimization and SON Features | 10% | - Self-Organizing Networks (SON) use cases and optimization - Energy saving and advanced features |
| Coverage and Capacity Optimization | 30% | - Capacity planning, load balancing and optimization - Coverage analysis, tuning and optimization - Interference analysis and mitigation techniques |
| Quality of Service and Resource Management | 15% | - QoS parameters, scheduling and admission control - Radio resource management and optimization |
| Mobility and Handover Optimization | 20% | - Inter-RAT mobility and optimization - Mobility robustness and optimization - Handover parameters and algorithms |
| SRAN Performance Optimization Fundamentals | 25% | - Network performance monitoring and analysis tools - Performance optimization principles and methodology - Key performance indicators (KPIs) definition and measurement |
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NEW QUESTION # 18
Evaluate the impact of using MantaRay SON's centralized PCI optimization module compared to distributed SON implementations.
Answer: C
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 # 19
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 # 20
What is the role of admission control in 5G networks ?
Answer: B
Explanation:
The correct answer is D .
Admission control is responsible for deciding whether a new UE connection, bearer, service, or session can be accepted by the cell without negatively affecting existing users and services.
In 5G RAN, admission control checks available radio resources such as:
* PRB availability
* PDCCH/PUCCH capacity
* UE context capacity
* QoS requirements
* GBR or non-GBR bearer requirements
* Cell load and congestion status
It does not directly manage modulation schemes; that is handled by link adaptation. It also does not directly increase spectral efficiency or optimize downlink throughput, although good admission control indirectly protects user experience and avoids overload.
So the main role of admission control is:
To check whether there are enough resources for new connections.
NEW QUESTION # 21
The slice type SST value for Extreme Broadband is typically:
Answer: C
Explanation:
The correct answer is B .
In 5G network slicing, SST means Slice/Service Type . It identifies the high-level service category of a network slice.
Typical standardized SST values are:
SST = 1 # eMBB, enhanced Mobile Broadband
SST = 2 # URLLC, Ultra-Reliable Low-Latency Communication
SST = 3 # MIoT/mMTC, Massive IoT or massive Machine Type Communication
SST = 4 # V2X-related slice type
"Extreme Broadband" is normally aligned with eMBB , because it refers to high data rate, high capacity, and broadband user experience.
Therefore, the SST value for Extreme Broadband is:
1.
NEW QUESTION # 22
Which of the following statements about CBRA , or contention-based random access , is correct?
Answer: B
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 # 23
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