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NEW QUESTION # 21
An admin notices that an org currently has a large number of qualified candidates per Service Appointment.
How can the admin reduce the number of candidates per appointment in order to improve optimization quality?
Answer: A
Explanation:
In Salesforce Field Service, the scheduling engine creates a list of "Qualified Candidates" based on Work Rules (Hard Constraints). If a search returns too many candidates, it places a heavy load on the CPU and can degrade optimization performance.
* Option D is correctbecause Work Rules are the mechanism used to filter candidates. Adding rules like Match Territory(ensuring the resource belongs to the territory),Maximum Travel from Home (filtering out distant resources), orExtended Match(matching custom criteria) effectively reduces the pool of eligible techniciansbeforethe system attempts to score them. This improves the speed and quality of the schedule.
* Option A is incorrect because Service Objectives are "Soft Constraints." Theyrankcandidates (giving them a score of 0-100) but do not remove them from the list.
* Option B is a manual structural change that doesn't address the configuration issue.
* Option C is incorrect because optimization performance is directly controlled by the efficiency of the configuration (Scheduling Policy).
NEW QUESTION # 22
Universal Containers stores critical job information in the description field on the Service Appointment.
Dispatchers need to have a view into this data from the Gantt with minimal clicks, job information is often many characters.
What should a consultant recommend to meet their requirements?
Answer: D
Explanation:
The requirement is to see data "from the Gantt" (the visual chart) with "minimal clicks."
* Option D is correct.TheService Tooltip Ganttfield set on the Service Appointment object controls the pop-up text box that appears when a dispatcherhoverstheir mouse over a Service Appointment bar on the Gantt chart. This requireszero clicksand is the fastest way to inspect details like "Description" without opening the full record.
* Options A, B, and C refer to the "Appointment List" (the textual list on the left side of the console).
While useful, scrolling through long descriptions in a list column is difficult (Option A) and requires looking away from the Gantt chart itself.
NEW QUESTION # 23
Which consideration should a consultant take when advising a customer on their Field Service Mobile App strategy, in a case where the Service Resources are named contractors who provide their own mobile devices?
Answer: B
Explanation:
When dealing with a Bring Your Own Device (BYOD) strategy (common with contractors), device compatibility is the biggest technical hurdle.
* Option B is correct.Salesforce explicitly publishes a list ofsupported devices and operating systems (iOS and Android versions)6. Since the company does not own the phones, they cannot guarantee every contractor has a compatible device. The consultant must warn the client to check these specs against their contractors' hardware.
* Option Ais a policy decision, not a technical constraint. Youcantrack contractor location if they agree to it.
* Option Cis false; Contractor licenses (Community Plus)doinclude access to the Field Service Mobile App.
NEW QUESTION # 24
Universal Containers is currently using the 'Resource Efficiency' feature in Field Service. The estimated duration for a replacement job is one hour, and the efficiency setup is as follows:
X is an expert, 'Efficiency' = 2.00 Y is a technician, 'Efficiency' = 1.00 Z is a junior technician, 'Efficiency' =
0.50
What will be the calculated duration of the Service Appointment when assigned to the different Service Resources?
Answer: C
Explanation:
Resource Efficiency is a multiplier that adjusts how long a particular resource needs to complete a job:
duration = base duration / efficiency. An expert (efficiency > 1) takes less time, and a junior (efficiency < 1) takes more.
* Option B is correct. Applying the formula to a base 60-minute job: X = 60 / 2.00 = 30 minutes, Y = 60
/ 1.00 = 60 minutes, Z = 60 / 0.50 = 120 minutes.
* Option A is incorrect because 90 minutes for Z does not match the formula; 60 / 0.5 = 120, not 90.
* Option C is incorrect because it inverts the relationship - an expert takes less time, not more.
* Option D is incorrect because it ignores efficiency entirely.
NEW QUESTION # 25
After running an optimization request for the next day, the dispatcher at Green Energy Solutions had noticed that the schedule of most of the Service Appointments has not changed at all, even though there were other better available options, considering the Service Objectives defined within the Scheduling Policy that was used for the Global Optimization.
What are three potential reasons for this behavior? (Choose 3 options)
Answer: B,C,E
Explanation:
Global Optimization will not move appointments that are pinned by status, pinned by checkbox, or otherwise constrained by their own scheduling parameters such as an Arrival Window the customer already agreed to.
* Option A is correct. Once an Arrival Window is defined on a Service Appointment, the optimizer treats the start time as fixed within that window. If most appointments already have tight Arrival Windows, the optimizer has very little room to move them.
* Option B is correct. Appointments in a 'Pinned' status (configured under Field Service Settings # Optimization # Pinned Statuses) are excluded from optimization moves entirely.
* Option D is correct. The 'Pinned' checkbox on the Service Appointment locks the appointment to its scheduled time, regardless of status. Optimization will not move pinned appointments.
* Option C is incorrect because if appointments are scheduled in violation of Work Rules, optimization would typically reschedule them to a compliant slot, not leave them in place.
* Option E is incorrect because high priority makes appointments more important to schedule, not less likely to move; the optimizer is free to relocate high-priority work.
NEW QUESTION # 26
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