試験HPE0-S59-JPN トピック6 問題2 スレッド
HP HPE0-S59-JPNのリアル試験問題集
問題 #: 2
トピック #: 6
問題 #: 2
トピック #: 6
HPEのパートナー企業が顧客と協力しているのですが、その顧客はヘルプデスクの問い合わせに対応できるだけの十分なITスタッフがいないと訴えています。OpsRampはどのようなメリットを提供するのか、どのように説明すべきでしょうか？
おすすめの解答：C 解答を投票する
OpsRamp (now an HPE company) is a cloud-based IT Operations Management (ITOM) platform that utilizes Artificial Intelligence for IT Operations (AIOps) to simplify the management of complex, hybrid environments.
* Solving the Staffing Challenge: For customers with small IT teams, the primary bottleneck is often " alert fatigue " -a constant flood of low-level notifications and help desk tickets that mask critical issues. OpsRamp addresses this by automating the " first response " layers of IT operations.
* Alert Noise Reduction: OpsRamp ' s AIOps engine uses machine learning to deduplicate and suppress redundant alerts. For example, if a network switch goes down, it might trigger 100 alerts from connected servers. OpsRamp identifies the commonality and presents the admin with a single " Inferred Incident " rather than 100 separate tickets.
* Root Cause Analysis (RCA): By analyzing topology maps and event sequences, OpsRamp can automatically pinpoint the probable root cause of a service disruption. This significantly reduces the " Mean Time to Repair " (MTTR) because staff members do not have to spend hours manually correlating logs to find where the failure started.
* Automation and Remediation: Beyond just detection, OpsRamp provides Runbook Automation , allowing a small staff to create policy-driven workflows that automatically fix common issues (like restarting a service or clearing a full disk) without human intervention.
Why other options are incorrect:
* Option A: This describes the core functionality of HPE OneView or the provisioning aspects of HPE GreenLake , which focuses on the " Day 0/Day 1 " deployment of resources.
* Option B: This refers to the My Insights and Software Dashboard features found in the HPE Support Center (often part of an HPE Tech Care contract).
* Option D: While OpsRamp can integrate with ITSM tools to create tickets, the automated generation of HPE support cases specifically for hardware failures is a primary feature of HPE InfoSight and HPE Support Center (Auto-case) .
* Solving the Staffing Challenge: For customers with small IT teams, the primary bottleneck is often " alert fatigue " -a constant flood of low-level notifications and help desk tickets that mask critical issues. OpsRamp addresses this by automating the " first response " layers of IT operations.
* Alert Noise Reduction: OpsRamp ' s AIOps engine uses machine learning to deduplicate and suppress redundant alerts. For example, if a network switch goes down, it might trigger 100 alerts from connected servers. OpsRamp identifies the commonality and presents the admin with a single " Inferred Incident " rather than 100 separate tickets.
* Root Cause Analysis (RCA): By analyzing topology maps and event sequences, OpsRamp can automatically pinpoint the probable root cause of a service disruption. This significantly reduces the " Mean Time to Repair " (MTTR) because staff members do not have to spend hours manually correlating logs to find where the failure started.
* Automation and Remediation: Beyond just detection, OpsRamp provides Runbook Automation , allowing a small staff to create policy-driven workflows that automatically fix common issues (like restarting a service or clearing a full disk) without human intervention.
Why other options are incorrect:
* Option A: This describes the core functionality of HPE OneView or the provisioning aspects of HPE GreenLake , which focuses on the " Day 0/Day 1 " deployment of resources.
* Option B: This refers to the My Insights and Software Dashboard features found in the HPE Support Center (often part of an HPE Tech Care contract).
* Option D: While OpsRamp can integrate with ITSM tools to create tickets, the automated generation of HPE support cases specifically for hardware failures is a primary feature of HPE InfoSight and HPE Support Center (Auto-case) .
Akahori 2026-07-23 10:23:08
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