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NEW QUESTION # 48
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 # 49
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: A
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 # 50
Green Energy Solutions performs solar panel maintenance activities on their customers' Assets and has several customers in Narnia, a remote isolated town within the Service Territory. There is only one resource covering that territory.
The dispatcher noticed that instead of grouping all of the Narnia activities for the same day, optimization is spreading these activities across the entire week, adding maintenance activities at other locations on the way to and back from Narnia.
Although when comparing in a test environment the two schedules, the way optimization is behaving today produces lower weekly total travel than when grouping all Narnia visits to the same day, Green Energy Solutions would prefer to have the resource complete all solar panel maintenance activities at Narnia on the same day, as it will help with change management and user acceptance.
Which three different configuration changes could a consultant evaluate to drive such optimization behavior?
(Choose 3 options)
Answer: A,B,D
Explanation:
The optimizer is already producing the mathematically lowest-travel result; the business wants to override that to consolidate Narnia visits to a single day. Several configuration levers can force the engine to favor same- day grouping.
* Option A is correct. An Extended Match Rule with a custom 'Coverage' object can express the requirement that Narnia services are only valid on one specified day of the week. This hard rule forces all Narnia work into the same day.
* Option B is correct. Assigning Visiting Hours on the Work Order that restricts Narnia customer visits to a single day per week constrains the engine to schedule all those appointments within that window, achieving the same-day grouping.
* Option E is correct. Raising priority on Narnia customers makes the optimizer schedule them earlier in the planning sequence. Combined with a tight time horizon, this often clusters them together because the optimizer satisfies high-priority work before filling gaps with lower-priority visits.
* Option C is incorrect because 'PolygonUtils' is not a Salesforce Field Service class used to constrain scheduling.
* Option D is incorrect because the customer already understands they will pay higher travel; adding another Minimize Travel objective would only reinforce the current undesired spread.
NEW QUESTION # 51
A customer provides services for a variety of products, and the capability for resources to perform services is often machine-specific. The customer explains that there are about 100 combinations of services and products that a single resource may support, and is concerned about performance.
Which configuration option should a consultant recommend?
Answer: D
Explanation:
This question addresses the limits of Skills (Work Rules) vs. Extended Match (Custom Criteria).
* Option B is correct.This offers the most efficient hybrid approach9.
* Skills:Use standard Skills for the "Service Type" (e.g., "Repair," "Install"). This is simple and low-volume.
* Extended Match:Use theExtended Match Work Ruleto handle the "Product" matching. Instead of creating thousands of skills (e.g., "Repair-ModelX," "Repair-ModelY"), you create a custom object or field logic that matches theAsset's Productto a list ofProducts Supportedon the Resource's record. Extended Match is designed exactly for this "Pattern Matching" without polluting the Skills table.
* Option Cis incorrect because creating a unique skill for everycombination(100+ per resource) leads to
"Skill Explosion." This bloats the data model and degrades optimization performance10.
NEW QUESTION # 52
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 # 53
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