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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Analytics | 6% | - Reporting and KPIs
|
| Topic 2: Visit Execution | 36% | - Automation and validation
|
| Topic 3: Data Setup | 36% | - Security and access
|
| Topic 4: Integrations | 6% | - System connectivity
|
| Topic 5: Platform | 10% | - Core platform configuration
|
| Topic 6: Visit Planning | 6% | - Territory and route management
|
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NEW QUESTION # 88
A consultant for Northern Trail Outfitters (NTO) has been asked to setup Tableau CRM for Consumer Goods Cloud to gain insights into factors that might affect store sales. Which functionality should the consultant select to address this concern?
Answer: C
Explanation:
The Maximize Store Sales Einstein Discovery story is designed to identify factors that influence product sales and provide actionable insights that can help sales managers improve store performance.
Salesforce provides preconfigured Einstein Discovery stories within Analytics for Consumer Goods. The sales-focused story analyzes historical data to identify variables that have a positive or negative impact on product sales. Salesforce currently describes this capability as Maximize Store Product Sales, which provides insights into the factors affecting product sales and helps organizations devise strategies to increase sales at a store or store-group level.
Einstein Discovery uses the available analytics dataset to identify statistically relevant relationships and present explanations that business users can act upon. These insights can assist sales managers in understanding how factors such as product availability, assortment, store characteristics, and other operational conditions correlate with sales performance.
The Minimize Out-of-Stock story serves a different objective: it predicts products that are likely to run out of stock so representatives can mitigate availability problems. While out-of-stock conditions can affect revenue, the scenario specifically asks for broader insight into the factors affecting store sales, making the sales- maximization story the appropriate functionality.
Study Guide Topics:Analytics - > Einstein Discovery - > Maximize Store Sales - > Predictive Insights - > Sales Performance
NEW QUESTION # 89
Northern Trail Outfitters (NTO) would like to know if the high value assets placed in stores are compliant. If not compliant, NTO would like a boolean value generated to trigger an action plan for correction. What is the recommended approach to meet the customer ' s requirement and limit the amount of custom code?
Answer: B
Explanation:
A custom task implemented with Flow is the appropriate architecture when the information to be captured does not fit the standard Inventory Check, Planogram Check, Promotion Check, Order Creation, or In-Store Survey task types. Salesforce specifically provides the Other assessment task type for custom business activities that require organization-specific data capture.
For asset compliance, an administrator can create an Assessment Indicator Definition with a Boolean data type to capture whether the asset meets the required compliance condition. Assessment Indicator Definitions support Number, Boolean, Date Time, Text, Decimal, and Picklist data types, making Boolean appropriate for a compliant/non-compliant assessment.
The custom task can be connected to the relevant business record through the Custom Context field of the Retail Store KPI. Salesforce supports standard or custom objects as custom-task context when the object supports activities. Flow can then evaluate the captured Boolean value and invoke the required follow-up automation, such as generating corrective actions or other downstream processes.
Using Flow instead of Apex follows Salesforce ' s declarative automation model and minimizes custom code while keeping the logic maintainable by administrators.
Study Guide Topics:Visit Execution - > Custom Tasks - > Assessment Indicator Definition - > Boolean KPI -
> Flow Automation
NEW QUESTION # 90
What are three main factors that should lead a Consultant to consider assetization of a commercial product or service?
Answer: A,C,E
Explanation:
Assetization is the process in Salesforce Industries (Communications/Consumer Goods) where a successfully fulfilled order line item is converted into a permanent Asset record. This Asset record serves as the single source of truth for what the customer currently owns.
A Consultant should recommend assetization for a commercial product or service when it is likely to be involved in future customer management and transactions. The three main factors that necessitate creating an Asset record are:
The product/service sold has a recurring charge (B):
A recurring charge means the service/product will be billed repeatedly (e.g., monthly). To ensure the billing system receives the correct information and to manage any future pricing changes (like applying a promotional discount for a specific period), the service must exist as a persistent Asset record. Billing systems typically interface with the Asset/Subscription object to determine what to invoice each cycle.
The product/service sold can undergo future attribute changes (C):
The core purpose of the Move, Add, Change, Delete (MACD) process is to allow customers to modify their existing services. If a product attribute (e.g., Internet speed, color of a device, service plan) can be changed, the system needs an Asset record to track the current attribute values (the "As-Is" state). When a customer initiates a change, the system converts this Asset's current state into an order line item for modification.
The product/service sold will have child features added in the future (A):
Products that are part of a bundle or have a hierarchical structure (Parent $\rightarrow$ Child) must be tracked as Assets so that their children or sub-features can be managed, added, or removed later. For example, if a base service (Asset) allows for the addition of premium channels (new Assets), the base service must first exist as an Asset to act as the parent for the new features.
Why D and E are incorrect:
D (High-volume, one-time billing event, such as a pay-per-view): One-time, high-volume transactional items (like PPV events or movie rentals) are typically not assetized. They are billed once and retired. Creating millions of short-lived asset records would rapidly consume storage and severely degrade system performance.
E (Device accessory, such as a phone case): Simple, one-time purchase equipment without a service component (like a phone case or charger) is rarely assetized, as it has no recurring charge (B) and generally does not undergo MACD changes (C).
NEW QUESTION # 91
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 # 92
Which two of the following allows a Consumer Goods Cloud user to review the vision detection accuracy?
Answer: A,E
Explanation:
Object Metrics and Model Metrics provide complementary mechanisms for evaluating the accuracy and performance of an Einstein object-detection implementation. Object-level metrics focus on how accurately individual object classes are being recognized, while model-level metrics provide an overall view of the trained model ' s predictive quality.
Salesforce ' s Einstein Vision model APIs expose model-performance information so administrators and developers can evaluate whether a trained model is sufficiently accurate for production use. Model metrics include measurements that quantify detection quality and allow implementers to identify weaknesses before relying on predictions operationally. Salesforce ' s Einstein Vision API specifically provides a Get Model Metrics operation for vision models, allowing performance information to be retrieved for an object-detection model.
Object-level analysis is equally important because overall accuracy can hide differences between individual classes. For example, a model may reliably identify one product but repeatedly confuse another product with visually similar packaging. Reviewing object-specific performance identifies those classification weaknesses and indicates where additional or improved training examples are required.
Together, Object Metrics and Model Metrics provide both granular and aggregate perspectives on detection accuracy, supporting systematic evaluation and refinement of product-recognition models.
Study Guide Topics:Platform - > Einstein Vision - > Object Detection - > Object Metrics - > Model Metrics -
> Detection Accuracy
NEW QUESTION # 93
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