SRAN-Radio-Network-Performance-Optimization試験の準備方法|実用的なSRAN-Radio-Network-Performance-Optimization認定テキスト試験|100%合格率のMN: NCSS NPS - SRAN Radio Network Performance Optimization Certification Exam | GS40-NPS-SRPER-E-S03-2510合格内容

SRAN-Radio-Network-Performance-Optimization学習ガイドを深く理解していただくために、当社はお客様向けに試用版を設計しました。当社の製品を購入する前に、当社の学習教材の試用版を提供します。 SRAN-Radio-Network-Performance-Optimizationトレーニング資料を知りたい場合は、当社のWebページから試用版をダウンロードできます。弊社のSRAN-Radio-Network-Performance-Optimization学習教材の試用版を使用する場合、弊社の製品は試験に合格して認定を取得するのに非常に役立つことがわかります。 SRAN-Radio-Network-Performance-Optimization試験問題を購入された場合、割引を受けることをお約束します。
Nokia SRAN-Radio-Network-Performance-Optimization Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|
| Topic 1: Performance Troubleshooting | 20-25% | - Troubleshooting tools utilization - Optimization case studies - Common performance issues diagnosis - Root cause analysis methodologies - Network failure identification and resolution
|
| Topic 2: Radio Network Performance Monitoring | 20-25% | - Threshold configuration and alerting - Real-time network monitoring techniques - KPI definition and measurement - Performance data collection and analysis - Performance monitoring tools and dashboards
|
| Topic 3: Radio Network Optimization Techniques | 25-30% | - Coverage optimization methods - Interference analysis and mitigation - Load balancing techniques - Handover optimization - Capacity optimization strategies - Parameter tuning best practices
|
| Topic 4: SRAN Optimization Tools and Reports | 10-15% | - Automated optimization features - Nokia NetAct and performance tools - Report generation and interpretation - Configuration management for optimization
|
| Topic 5: SRAN Architecture and Fundamentals | 15-20% | - SRAN network architecture overview - Radio access concepts and principles - Single RAN integration principles - SRAN solution components and functions
|
>> SRAN-Radio-Network-Performance-Optimization認定テキスト <<
SRAN-Radio-Network-Performance-Optimization合格内容 & SRAN-Radio-Network-Performance-Optimization試験準備
テストSRAN-Radio-Network-Performance-Optimization認定の取得は、学習プロセスの目標を達成するために必要であり、労働者のために働いており、開発のためのより広いスペースを提供できるより多くの資格を持っています。 SRAN-Radio-Network-Performance-Optimizationの実際の試験ガイドは、効率的で便利な学習プラットフォームを提供するため、できるだけ早く認定を取得できます。高い学位は能力の表れかもしれません。テストSRAN-Radio-Network-Performance-Optimization認定を取得することも良い選択です。 SRAN-Radio-Network-Performance-Optimization証明書を取得すると、より良い未来を創造するための選択肢が増えます。
Nokia MN: NCSS NPS - SRAN Radio Network Performance Optimization Certification Exam | GS40-NPS-SRPER-E-S03-2510 認定 SRAN-Radio-Network-Performance-Optimization 試験問題 (Q14-Q19):
質問 # 14
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?
- A. Format 1 / Type B
- B. Format 2 / Unrestricted Type
- C. Format 1 / Type A
- D. Format 0 / Type B
正解:A
質問 # 15
Which of the following best describes one of the primary purposes of the Coverage and Quality use case?
- A. To replace the Kronos parser during troubleshooting
- B. To configure the VPN tunnel for secure data transfer
- C. To identify problem areas such as low coverage or high interference
- D. To convert LCBIN files to CSV files for analysis
正解:C
解説:
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.
質問 # 16
In the case of 5G SA, which of the following triggers the Radio Link Failure, or RLF, handling mechanism?
- A. UE indication timer only
- B. None of the above
- C. gNodeB indication timer only
- D. gNodeB and UE indication timer
正解:A
解説:
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.
質問 # 17
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?
- A. MantaRay SON
- B. NPAS
- C. GeoSynthesis
- D. LTEPAT
正解:B
解説:
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.
質問 # 18
Which of the following statements about CBRA , or contention-based random access , is correct?
- A. If there is already an existing connection, the gNB can instruct the UE to use a specific, dedicated preamble. Therefore, there is no risk of preamble collision, and contention resolution is not needed.
- B. If the RACH preamble is not particularly robustly coded, there is a risk that random noise combines into something that the BTS receiver interprets as a valid preamble.
- C. If the RACH procedure fails for an NSA UE, it reports the failure to the eNB via the 4G RRC connection, and the eNB informs the gNB via the X2 connection.
- D. If there is no existing connection between the UE and the RAN, the UE autonomously selects a preamble from the provided range and starts the access procedure.
正解:D
解説:
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.
質問 # 19
......
SRAN-Radio-Network-Performance-Optimizationトレーニング資料は、ユーザーが学習した内容を統合し、多くのトレーニングの瞬間に追加するのに役立つように設計されています。ユーザーは、学習コンテンツの一部を終えた後、学習効果を時間内にテストできます。 SRAN-Radio-Network-Performance-Optimizationガイドトレントのトピックを使用して、ユーザーがこの機能の知識の弱点を見つけ、一定の練習を繰り返して、最終的に高い成功率を達成できるようにします。その結果、当社のSRAN-Radio-Network-Performance-Optimization試験問題は、ユーザーがSRAN-Radio-Network-Performance-Optimization試験に合格するための知識を習得できるように、実践内容の完全なセットを形成するように設計されています。
SRAN-Radio-Network-Performance-Optimization合格内容: https://www.goshiken.com/Nokia/SRAN-Radio-Network-Performance-Optimization-mondaishu.html
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