1Y0-401 · Question #379
Why should disk and network I/O be used to identify bottlenecks?
The correct answer is B. High disk and network I/O utilization on the Delivery Controller can indicate that the target device will. High disk and network I/O on a Delivery Controller can indicate delays for target devices or other VDI components due to excessive data transfer or storage operations.
Question
Options
- AHigh disk and network I/O utilization of the Delivery Controller can indicate a high volume of user logons,
- BHigh disk and network I/O utilization on the Delivery Controller can indicate that the target device will
- CHigh disk and network I/O utilization of the Delivery Controller may indicate that a high number of
- DHigh disk and network I/O utilization of the Delivery Controller can indicate the presence of a virus or
How the community answered
(17 responses)- A6% (1)
- B88% (15)
- C6% (1)
Why each option
High disk and network I/O on a Delivery Controller can indicate delays for target devices or other VDI components due to excessive data transfer or storage operations.
While logons involve some I/O, a high volume of user logons is more directly associated with CPU and memory utilization on the Delivery Controller as the primary indicators.
High disk I/O on the Delivery Controller often reflects heavy logging, database operations, or configuration changes, while high network I/O indicates significant data transfer related to session brokering or policy application. Both can cause delays for target devices or other VDI components that rely on the controller for information or connectivity.
Processor-intensive tasks primarily consume CPU, not necessarily driving high disk and network I/O to the point of being a primary bottleneck indicator for those specific resources.
While malware can cause high I/O, it is a less common and less specific indicator for general performance bottleneck analysis compared to the primary function of the Delivery Controller in a VDI environment.
Concept tested: Delivery Controller I/O bottleneck
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