1Y0-401 · Question #388
Why should disk I/O and page file utilization be used to identify bottlenecks?
The correct answer is D. Excessive disk I/O and page file utilization on the XenApp server will affect the local host cache. This question explores why disk I/O and page file utilization are key indicators for bottlenecks, specifically their effect on the local host cache on a XenApp server.
Question
Options
- AExcessive disk I/O and page file utilization will slow the creation of new sessions.
- BExcessive disk I/O and page file utilization on the data collector will slow down Web Interface
- CExcessive disk I/O and page file utilization on the data collector will slow down application enumeration.
- DExcessive disk I/O and page file utilization on the XenApp server will affect the local host cache.
How the community answered
(34 responses)- A6% (2)
- C3% (1)
- D91% (31)
Why each option
This question explores why disk I/O and page file utilization are key indicators for bottlenecks, specifically their effect on the local host cache on a XenApp server.
While high disk I/O and page file utilization can slow session creation generally, option D identifies a more specific and critical impact on a key XenApp component.
This option attributes the bottleneck to the data collector and Web Interface, whereas the question's focus on page file utilization strongly suggests a system-level memory and disk issue on the server itself, rather than a specific service on a separate component.
This option attributes the bottleneck to the data collector and application enumeration, which is not the primary and most direct impact described by high page file utilization on a XenApp server.
Excessive disk I/O can severely impact the performance of the local host cache (LHC) on a XenApp server (now a VDA) because the LHC stores a local copy of configuration and brokering information on disk, requiring constant disk access. High page file utilization indicates memory pressure, forcing the system to heavily use the disk for virtual memory, which further exacerbates disk I/O bottlenecks and negatively impacts the LHC's responsiveness and overall VDA performance.
Concept tested: Citrix XenApp-VDA Performance - Local Host Cache
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