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| Section | Weight | Objectives |
|---|---|---|
| Performance Troubleshooting | 20-25% | - Optimization case studies - Common performance issues diagnosis - Root cause analysis methodologies - Troubleshooting tools utilization - Network failure identification and resolution |
| Radio Network Performance Monitoring | 20-25% | - Performance data collection and analysis - Real-time network monitoring techniques - KPI definition and measurement - Threshold configuration and alerting - Performance monitoring tools and dashboards |
| Radio Network Optimization Techniques | 25-30% | - Interference analysis and mitigation - Parameter tuning best practices - Coverage optimization methods - Handover optimization - Load balancing techniques - Capacity optimization strategies |
| SRAN Optimization Tools and Reports | 10-15% | - Report generation and interpretation - Nokia NetAct and performance tools - Configuration management for optimization - Automated optimization features |
| SRAN Architecture and Fundamentals | 15-20% | - Single RAN integration principles - SRAN network architecture overview - Radio access concepts and principles - SRAN solution components and functions |
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NEW QUESTION # 27
The slice type SST value for Extreme Broadband is typically:
Answer: B
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 # 28
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 # 29
Which of the following best describes one of the primary purposes of the Coverage and Quality use case?
Answer: A
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 # 30
At which mark are all conditions fulfilled for energy saving , so the cell will be switched off? Refer to the image below.
Answer: C
Explanation:
The correct answer is B , which corresponds to mark C in the diagram.
In the diagram, the energy-saving process follows these stages:
Before mark B , the cell is entering the power-saving period, but the required load condition has not yet been satisfied for the required duration.
At mark B , the measured load has gone below the configured threshold, but the cell is not switched off immediately. The system must confirm that the load remains below the required threshold for the configured time.
At mark C , the load has stayed below the required threshold for the required duration, shown as 5 minutes in the diagram. At this point, all conditions are fulfilled, and the cell can be switched off. The diagram also shows the state becoming:
energySavingState = energySaving
Marks D and E are already inside or near the later part of the power-saving period. Mark E is associated with operator suspension/exit behavior, not the initial moment when all switch-off conditions are first fulfilled.
NEW QUESTION # 31
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 # 32
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