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Quip Documents, Einstein Predictions, and Custom Object Task List are three components that can be added to a new page for the Consumer Goods Cloud mobile application. These components provide additional functionality and information for users in the field. They are:

Quip Documents, which allows users to access and collaborate on Quip documents within the app. Quip documents are cloud-based documents that can include text, images, spreadsheets, charts, and more.

Einstein Predictions, which allows users to see predictions and recommendations from Einstein AI based on their data and actions. For example, users can see predictions for sales revenue, product demand, or visit outcomes.

Custom Object Task List, which allows users to create and complete tasks related to custom objects within the app. Custom objects are objects that are defined and configured to suit specific business needs. Verified References: [Salesforce Consumer Goods Cloud Implementation Guide], page 40-41

For partner-facing guided journeys in Experience Cloud that must communicate with external systems during order capture, Salesforce recommends using OmniScripts and Integration Procedures together.

OmniScripts (A) provide the guided user journey—highly configurable, step-by-step flows where partners can configure products, enter customer data, and trigger backend processes. OmniScripts are the front-end orchestration layers for Communications Cloud CPQ and order capture in portals.

Integration Procedures (C) are the server-side execution engine that handle:

Calling external systems

Orchestrating multiple APIs

Handling transformations

Reducing client-server chattiness

They are specifically optimized for Experience Cloud, where minimizing round trips and improving performance is critical.

DataRaptors (B) handle simple CRUD and transformations but are not well suited for multi-step external integrations.

FlexCards (D) are for display/UI components, not guided journeys or external API orchestration.

Salesforce Communications Cloud (formerly Vlocity Communications) provides a set of out-of-the-box omnichannel capabilities specifically designed to support buying, managing, and modifying telecom services across web, mobile, partner portals, and agent-assisted channels. Public Salesforce documentation describes two major components that enable this: Digital Commerce APIs and the Digital Commerce SDK.

Digital Commerce APIs (Option A)

Salesforce provides a full suite of REST-based Digital Commerce APIs that expose CPQ functions such as:

Product discovery

Product configuration

Pricing and promotions

Cart creation and management

Order submission

These APIs are channel-agnostic and built for web portals, mobile apps, in-store kiosks, and agent desktops, making them ideal for United Telecom’s requirement to support multiple sales and self-service channels. They leverage standardized product and pricing logic directly from the Enterprise Product Catalog, ensuring consistency across all channels.

Digital Commerce SDK (Option B)

The Digital Commerce SDK complements the APIs by providing reusable UI components, templates, and client-side tools to rapidly build modern commerce experiences. It supports Lightning, LWC, and headless storefronts, enabling companies to create branded, high-performing customer experiences with minimal custom code. This SDK allows UT to deliver responsive and consistent digital buying flows without building UI logic from scratch.

Options C (Cart-based APIs using OmniOut) and D (Custom APIs using LightningOut) involve custom or integration-heavy approaches that are not needed when out-of-the-box Digital Commerce capabilities already provide a complete omnichannel solution.

Therefore, the two correct out-of-the-box capabilities for multi-channel customer experience in Communications Cloud are A and B.

To make a brand-new product available for Industries CPQ initial sale and support order fulfillment, two major work items must be completed:

B. Decomposition Relationships

These define how the commercial product breaks into technical products required for fulfillment. Without decomposition, Order Management cannot generate Fulfillment Request Lines.

D. Product Model

The product must be fully modeled in the Enterprise Product Catalog (EPC):

Product Spec

Attributes

Prices

Cardinality

Bundles

Versioning

Incorrect options:

A. OmniScript is optional; CPQ can still operate via the Cart without custom OmniScripts.

C. MACD Orchestration is not needed for initial sale; only fulfillment of new orders is required at launch

A possible reason for failing all the test cases related to delivery tasks is that the tester did not have the lightning direct store delivery Permission Set added. A Permission Set is a collection of settings and permissions that grant users access to various tools and features. The lightning direct store delivery Permission Set is required for users who need to use the delivery task functionality and related objects, such as product transfers and shipments. Verified References: [Salesforce Consumer Goods Cloud Implementation Guide], page 29.

Einstein for CG- Visit Recommendations is a feature that uses artificial intelligence to suggest optimal store visits for field reps based on predefined rules and criteria. By adopting this feature with the consumer goods cloud, professionals can focus on their work while having information served to them that will support them in being competitive. For example, they can prioritize the most profitable or strategic stores, avoid unnecessary or redundant visits, and optimize their routes and schedules. Verified References: [Salesforce Consumer Goods Cloud Implementation Guide], page 36.

In Salesforce Industries (Vlocity) project methodology, an optimal quote-to-order implementation requires parallel workstreams, especially when designing multi-channel digital experiences that rely on backend APIs such as inventory reservation or device allocation. Public Salesforce implementation practices emphasize that UX design should begin early and only needs high-level API contracts, not full backend development, to progress. This is because modern telecom journeys—product selection, service configuration, device reservation, and inventory validation—depend on microservices exposed through TMF-style APIs or custom integration layers.

Salesforce recommends decomposing work into parallel user stories to accelerate time to market:

UX Design → Driven by user flows, wireframes, and component behavior

Device Reservation API → Defines the interface and payload shapes

Inventory System Integration → Implements backend orchestration

This approach enables the UX team to build using mocked or stubbed APIs, ensuring that design decisions aren’t delayed while backend services are still being implemented. This directly aligns with option D, which reflects Salesforce’s agile implementation strategy.

Options A and B incorrectly assume UX must wait for full integration design, which slows delivery. Option C suggests sequential workstreams, which Salesforce explicitly discourages due to increased cycle time.

Thus, D is the best match.

The Einstein Vision model is a representation of how objects are detected and counted in an image. The model needs to be created as part of the development process using a base set of images. The base set of images should contain images of the products that need to be detected on the shelf, as well as labels and annotations for each product. The model is then trained and tested using these images and can be improved by adding more images or adjusting the parameters. Verified References: [Salesforce Consumer Goods Cloud Implementation Guide], page 23-24.

These statements ensure that the necessary data, such as KPIs and IDs, are available within the flow for accurately performing and tracking flow-based tasks.