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NEW QUESTION # 10
Which parts of the 'Dispatcher Console' support adding Custom Actions? (Choose 3 options)
Answer: B,C,E
NEW QUESTION # 11
Green Energy Solutions provide two types of services: 'New Installs' (high revenue, high priority with a 3 day SLA) and 'Inspections' (proactive, low priority activities due 3 months out). The company incurs a penalty for missing due dates which the service manager would like to avoid. However, not at the expense of a new install.
What should the consultant's recommendation be in such a case?
Answer: D
Explanation:
The goal is to prevent low-priority "Inspections" from being ignored indefinitely until they miss their deadline, without permanently ranking them above high-value "New Installs."
* Option B is correct(based on the scenario's specific constraints). By using automation to elevate the Inspection's priority to '1' (High) only when it is due "tomorrow," the system treats it as urgentonlywhen necessary to avoid the penalty. Since "New Installs" are also Priority '1', the two will compete on equal footing on that final day, ensuring the Inspection has a fighting chance to be scheduled alongside high- value work.
* Option C (Dynamic Priority) is a standard solution for "aging" work. However, the option states it caps the value at '2'. In standard SFS priority (where 1 is highest), a '2' willneverbeat a '1'. Therefore, the inspection would still likely be bumped by a New Install (Priority 1) even on its due date, leading to a penalty.
* Option D ("Schedule Over Lower Priority") is used for emergency reshuffling, but does not inherently solve the prioritization logic between these two specific task types.
NEW QUESTION # 12
Universal Containers has a job that requires two technicians, and both must possess the skills defined as
'Required' for that job. They need to show up at the same time and work through the entire job duration together. The technicians will also need to be able to be assigned to individual jobs later that day.
Which option should an architect recommend to support this scenario?
Answer: B
Explanation:
This is a classic "Double-Booking" vs. "Complex Work" scenario.
* Option B is correct.To book two distinct people for the same work at the same time, you createtwo Service Appointments. You link them using aComplex Workdependency of typeSame Start4. This tells the optimization engine: "Find a time where Resource A (Appointment 1) and Resource B (Appointment 2) are BOTH free, and book them simultaneously."
* Option Ais incorrect because a single Service Appointment can typically only have oneactiveAssigned Resource for scheduling purposes in the standard optimization model (unless using Crew Management, but Crews are forstaticteams, not ad-hoc pairs).
* Option Dis incorrect because the requirement states they need to be assigned to "individual jobs later that day"5.Service Crewsare designed for resources who stay together all day. Breaking a crew apart for half a day is administratively difficult.
* Option Cis a hack (Resource Absence) that blocks the second tech's time but doesn't link them to the actual job details properly.
NEW QUESTION # 13
A customer outsources some of the work to contractors. The contractors in company A need to be able to accept up to 4 hours of maintenance work per day, but their resources only work 9-10 am. They manage the scheduling and order of these jobs outside of Salesforce.
Contractor company B also must only accept 4 hours of work per day but work from 9-5 pm and manage their schedule inside Salesforce. The customer is using optimization.
Which two configurations need to be created to support the requirement?
Answer: A,D
Explanation:
This scenario distinguishes between "External" contractors (buckets of work) and "Internal/Named" contractors (managed schedule).
* Option C (Contractor A):Since they manage workoutsideSalesforce and work specific hours (9-10 am), they should be modeled asCapacity-Based Resources. This feature allows you to define a
"bucket" of capacity (4 hours/day) without optimizing individual travel or start times. You simply dump work into their bucket until it is full.
* Option A (Contractor B):Since they manage the scheduleinsideSalesforce (likely named users), they act like standard employees. To limit them to 4 hours of work within a 9-5 shift, you use aWork Rule (Count Rule). You configure the rule to limit "Duration" to 240 minutes (4 hours) per day and use a Relevance Groupto ensure this ruleonlyapplies to Contractor B (not internal employees or Contractor A).
NEW QUESTION # 14
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: D
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 # 15
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