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Multiple users report that a map service is experiencing negative performance. Upon review of ArcGIS Monitor data, the GIS analyst finds the following:
* The minimum number of instances is 2 and the maximum is 8 for that service.
* The data is in a publication Enterprise Geodatabase with no system usage in excess of 50%.
* At the p75 level of requests, the map service time is 10 times longer than the service time at the p25 level.
* The number of instances in use at the p50 level is 8.
* The maximum % of physical memory in use is 40%, and the maximum % of virtual memory in use is
44% on the ArcGIS Server.
* The maximum % CPU utilization observed is 53%.
What is causing the issue?
A. The client is an Android device, and the ArcGIS Server is a Linux virtual machine.
B. The network connection between the database server and ArcGIS Server is saturated.
C. The maximum instance setting is too low for the demand on the underperforming map service.
Answer: C
Explanation:
The ArcGIS Monitor data indicates that the map service is reaching its maximum configured instances (8) at the median usage level (p50), suggesting that the service cannot scale to meet higher demand. The significant increase in service time at the p75 level further supports that the service is under-provisioned. Since system resources like CPU and memory are not fully utilized, the bottleneck is likely due to the instance configuration. Increasing the maximum number of instances would allow the service to handle more concurrent requests, improving performance.
There is no evidence of network saturation or client-specific issues affecting performance in this scenario.
Reference Source:ArcGIS Monitor documentation on service instance management and performance tuning
NEW QUESTION # 30
A GIS administrator receives reports of slow-performing services and notices that disk space is filling up after recent troubleshooting sessions.
In those sessions, the following tasks were performed:
* Services added to the shared instance pool
* Log retention settings reduced
* Log level set toDebug
* ArcGIS Server machine restarted
* An additional ArcGIS Server site federated
What is causing this slow performance?
A. Adjusting the log level to Debug
B. Additional services in the shared instance pool
C. Federating the additional ArcGIS Server site
D. Restarting ArcGIS Server
Answer: A
Explanation:
Setting thelog level to Debugcan significantly impact performance and disk space. Debug-level logging writes detailed information about every process and service request to log files, which can rapidly fill up disk space and consume server resources, leading toperformance degradation.
From ArcGIS Server documentation:
"The debug log level is used only for troubleshooting specific problems and should not be used in a production environment as it can negatively affect performance and result in excessive disk space usage."
* OptionAis partially valid, but shared instance pooling is designed for efficient resource use and generallyimprovesperformance when used properly.
* OptionCis unrelated to performance directly unless misconfigured.
* OptionD(restart) is typically neutral or helpful.
Reference:ArcGIS Server -Logging Levels and Performance Considerations
NEW QUESTION # 31
A GIS administrator must share an imagery service with another ArcGIS Enterprise. The administrator sets up a distributed collaboration with the other ArcGIS Enterprise and shares the service as a reference. The users in the other organization keep being prompted for credentials.
Which action should the administrator perform?
A. Share the image service as a copy
B. Set the collaboration workspace to send and receive
C. Configure the service with anonymous access
D. Save viewer credentials in the collaboration
Answer: A
NEW QUESTION # 32
A GIS analyst is working withreferenced dataand needs to offload alarge dataset of millions of oil rig locationsfrom the geodatabase. The data must bequickly accessible for spatial visualizationandqueryable within ArcGIS Enterprise.
Which ArcGIS Data Store type should be configured?
A. External big data file share
B. Tile cache
C. Spatiotemporal
D. Relational
Answer: C
Explanation:
TheSpatiotemporal big data storeis designed formassive datasetsand optimized for high-speed visualization, time-enabled querying, and big data analytics. It is ideal for storingmillions of point features such as sensors or oil rig locations, especially when performance and scalability are critical.
From ArcGIS documentation:
"The spatiotemporal big data store is designed for writing and querying large volumes of spatial and temporal data. It's optimized for visualizing high-density datasets in web maps."
* OptionB(Relational) works for moderate data volumes but may not scale well.
* OptionCsupports cached tiles, not dynamic feature access.
Reference:ArcGIS Enterprise -Choosing the Right Data Store Type for Large Datasets
NEW QUESTION # 33
A client requires an ArcGIS Server site that provides the following capabilities
* Serve several cached image services Each service is published from a single raster and updated once a year with new imagery from which a new cache is generated offline before publishing
* Serve a dynamic feature class of 1.000 points coming from a PostgreSQL enterprise geodatabase Which licensing role does the client need for this ArcGIS Server site?
A. Image Server
B. GIS Server
C. Mission Server
Answer: A
NEW QUESTION # 34
......
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