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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Visit Planning and Execution Configuration | 15% | - Configuration of Inventory Checks and Product Listings - Configuration of Visit Plans and Visit Plan Targets - Configuration of Promotion Checks and Promotion Details - Configuration of Order Capture and Order Submission - Configuration of Visit Tasks and Task Types - Configuration of Photo Capture and Survey |
| Topic 2: Visit Execution | 23% | - Visit Tasks and Task Types - Order Capture and Order Submission - Inventory Check and Product Listing - Visit Execution Process - Photo Capture and Survey - Promotion Check and Promotion Details |
| Topic 3: Store Execution | 15% | - Store Survey and Feedback - Planogram Compliance - Store Execution Process - Assortment Monitoring |
| Topic 4: Admin and Configuration | 12% | - User Setup and Permissions - Mobile Configuration - Reports and Dashboards - Consumer Goods Cloud Data Model |
| Topic 5: Visit Planning | 23% | - Visit Plan and Visit Plan Targets - Territory Management - Visit Schedule and Frequency - Visit Planning Process |
| Topic 6: Store Execution Configuration | 12% | - Configuration of Planogram Compliance - Configuration of Store Execution Process - Configuration of Assortment Monitoring - Configuration of Store Survey and Feedback |
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NEW QUESTION # 81
Universal Containers (UC) is a Communications Service Provider using Communications Cloud. They have completed testing the data migration by successfully loading the full data set into a Full Copy sandbox with no errors. They are now ready for the load into production.
What are two actions a Consultant should recommend once the load is completed in production?
Answer: A,B
Explanation:
Once a production data load is completed in Communications Cloud, Salesforce's public data-migration and go-live readiness recommendations emphasize two mandatory activities: (1) remediation of failed records, and (2) validation of loaded data. These activities ensure that production contains a complete, accurate, and trusted data set before the system is opened to business users.
Option B - Analyze and resolve any errors and re-load failed records
Even if a full-data migration completed successfully in a Full Copy sandbox, the production environment may still produce new failures due to data differences, unexpected validation rules, org-specific automation, or sequence dependencies. Salesforce migration best practices require analyzing the error logs generated by Data Loader, Bulk API, or middleware, correcting failed data, and performing targeted reloads. No migration is considered complete until every failed record has been addressed. This is a standard post-migration requirement in Communications Cloud given the volume and interdependencies between Accounts, Subscriptions, Service Accounts, Billing Accounts, Premises, Assets, Orders, and Fulfillment objects.
Option D - Validate volumes and spot-check correctness
After the load finishes, the consultant must validate that record counts in production exactly match expected totals from source systems, including number of Accounts, Billing Accounts, Service Accounts, Subscriptions, Premises, and Assets. Salesforce also recommends targeted spot checks-opening individual customer records, ensuring relationships are correct, asset hierarchies are intact, and subscription data is consistent. This ensures data integrity before cutover and user access.
Incorrect options:
A - Salesforce does not provide a data load report via support case; all logs come from the tools used during migration.
C - You cannot assume "all errors were resolved earlier." Every production load must be validated, and new issues frequently occur during the final cutover.
Therefore, the correct post-production-load actions are B and D.
NEW QUESTION # 82
Which of the following is accurate regarding the Einstein Vision model?
Answer: B
Explanation:
An Einstein Vision object-detection model must be developed from a training dataset containing representative images of the objects that the model is expected to recognize. Model creation is therefore an implementation activity rather than something that occurs automatically from a single image or during ordinary field execution.
Salesforce ' s Einstein Vision development process begins by collecting representative training images. For object detection, each training example must also identify the relevant objects using bounding-box coordinates. The resulting examples are assembled into a dataset and submitted to the Einstein Vision training service. Training that dataset produces a model that can subsequently identify, classify, count, and locate corresponding objects in new images.
The quality and diversity of the base image set directly influence model performance. A sufficiently representative dataset must account for differences such as product orientation, lighting, shelf arrangement, packaging appearance, and surrounding objects. Salesforce also allows multiple models to be trained from evolving datasets so their performance can be evaluated and refined.
Consequently, the model is deliberately built during implementation from a prepared base dataset before it is incorporated into the field-execution process.
Study Guide Topics:Platform - > Einstein Vision - > Object Detection - > Training Dataset - > Model Creation
NEW QUESTION # 83
Universal Connect (UC) offers only Internet service. However, they plan on extending their offering to include TV services for their existing customers. Fulfillment of Internet and TV orders will only require customers to activate one access line.
A Consultant plans on mapping Internet and TV products to the same technical product for the access line using decomposition, but there is a common attribute called "Installation Type" on the Internet and TV offer.
What will the Consultant see as a result if the customer orders Internet and TV together?
Answer: B
Explanation:
In Salesforce Communications Cloud, when multiple commercial offers decompose into the same technical product, the system performs attribute mapping during decomposition using the configured Commercial-to-Technical Product relationships. Public Industries documentation explains that when two or more commercial products share an attribute with the same target technical product attribute, the system does not throw an error automatically. Instead, Communications Cloud uses a "last write wins" behavior during value assignment.
In this scenario, both the Internet and TV commercial offers have the same attribute "Installation Type", and both map to the same attribute on the shared technical product (access line). When a customer orders Internet + TV together, the decomposition engine executes sequentially. The attribute mapping is processed for the Internet offer first (or whichever is configured first in the order). Next, the TV offer decomposes and updates the same attribute on the same technical product instance.
Because no conflict-handling mechanism is defined out of the box, and no mutual-exclusivity rules are enforced by default, the value from the last processed offer simply overwrites the earlier one. This is expected behavior in native EPC + OM decomposition when two attributes of identical name and mapping collide.
Therefore:
No design-time error occurs โ eliminating option B.
No runtime decomposition error occurs โ eliminating option D.
The attribute is not set to null โ eliminating option C.
The system instead sets the technical product's Installation Type to whichever product's value was processed most recently.
NEW QUESTION # 84
How would an order template for frequently bought products be created for a particular outlet?
Answer: C
Explanation:
For a particular retail outlet, frequently ordered products can be modeled through Store Product records and marked as Favorite. Store Product establishes the product-to-store relationship and provides outlet-specific ordering attributes that streamline repetitive order capture.
Salesforce ' s Consumer Goods data model includes both Is Favorite and Default Order Quantity on Store Product. This allows a frequently purchased SKU to be marked as a preferred product for the store and assigned the quantity that is normally ordered.
Salesforce Trailhead demonstrates this configuration directly. Administrators or sales managers associate products with a store or In-Store Location, select the Favorite checkbox, and optionally enter a Default Order Quantity. During order capture, field representatives can sort or filter for favorite products, helping them quickly locate the outlet ' s commonly purchased items and replenish them using the expected quantities.
This approach is outlet-specific because the favorite designation resides on the relationship between the product and the Retail Store rather than globally on Product2. It therefore accommodates situations where the same product may be frequently purchased by one store but not another.
Saved carts and Account-level assortment records do not provide this same store-specific favorite-product mechanism.
Study Guide Topics:Visit Execution - > Order Capture - > Store Product - > Favorite Products - > Default Order Quantity
NEW QUESTION # 85
Which statement is true about action plan templates?
Answer: C
Explanation:
An Action Plan Template can contain multiple Inventory Check, Planogram Check, and Promotion Check assessment tasks. These are KPI-based Retail Execution activities that may need to be repeated within a single store visit for different products, categories, promotions, or in-store locations.
Salesforce explicitly states that administrators can add multiple Inventory Check, Planogram Check, and Promotion Check tasks to one Action Plan Template. By contrast, Salesforce restricts the template to only one Order Creation task or one In-Store Survey task.
This flexibility is important because a typical consumer-goods visit can involve several independent merchandising objectives. A representative might perform separate inventory checks for different store areas, validate several planograms, and verify multiple promotions during the same visit. The Action Plan Template provides a reusable framework that groups these activities and controls their required status and display sequence.
Templates must also progress through the appropriate lifecycle before operational use; simply defining the structure does not substitute for making the template available for visit execution. Salesforce further supports extensibility through flows, component tasks, and other Action Plan mechanisms.
Therefore, the ability to include multiple planogram, inventory, and promotion checks is the accurate statement.
Study Guide Topics:Visit Planning - > Action Plan Templates - > Inventory Check - > Planogram Check - > Promotion Check
NEW QUESTION # 86
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