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Salesforce Accredited Agentforce Communications Professional

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Salesforce Accredited Agentforce Communications Professional Study Checklist
  • Platform Administrator
  • Platform App Builder
  • Platform Foundations
  • Platform Developer
  • Platform Administrator II
  • Agentforce Sales Consultant
  • Agentforce Service Consultant
  • Platform Data Architect
  • Platform Development Lifecycle and Deployment Architect
  • Platform Identity and Access Management Architect
  • Platform Integration Architect
  • Platform Sharing and Visibility Architect
  • Heroku Architect
  • B2C Solution Architect
  • Experience Cloud Consultant
  • Agentforce Field Service and Operations Consultant
  • Agentforce Nonprofit Consultant
  • Data 360 Consultant
  • Omnistudio Consultant
  • CRM Analytics and Einstein Discovery Consultant
  • Platform User Experience Designer
  • Platform Strategy Designer
  • B2C Commerce Developer
  • JavaScript Developer
  • Omnistudio Developer
  • Platform Developer II
  • Marketing Cloud Engagement Administrator
  • Marketing Cloud Engagement Specialist
  • Marketing Cloud Engagement Consultant
  • Marketing Cloud Account Engagement Specialist
  • Marketing Cloud Next Consultant
  • Agentforce Sales Foundations
  • Business Analyst
  • Marketing Cloud Engagement Developer
  • Marketing Cloud Engagement Foundations
  • Agentforce Specialist
  • Agentforce Life Sciences Consultant
  • B2B Commerce Administrator AP
  • B2B Commerce Developer AP
  • Agentforce Communications AP
  • Agentforce Consumer Goods AP
  • Agentforce Financial Services AP
  • Agentforce Health AP
  • Agentforce Manufacturing AP
  • Public Sector Solutions AP
  • Revenue Cloud Consultant
  • MuleSoft Integration Foundations
  • MuleSoft Developer
  • MuleSoft Developer II
  • MuleSoft Platform Integration Architect
  • MuleSoft Platform Architect
  • Tableau Desktop Foundations
  • Tableau Data Analyst
  • Tableau Consultant
  • Tableau Server Administrator
  • Tableau Next Consultant
  • Tableau Architect
  • Slack Administrator
  • Slack Consultant
  • Slack Developer

Checklist progressProgress

0/137Learned

  • Top-down versus bottom-up derivation of guiding principles
  • Configure, then buy, then build in assessing the current estate
  • Landscape and layered views of the current-state architecture
  • Systems of record across a CSP's BSS and OSS landscape
  • Current catalog landscape against TM Forum SID product layers
  • Integrating legacy systems versus phased or greenfield replacement
  • Current-state architectural risks to raise during discovery
  • Translating communications pain points into transformation KPIs
  • Baselining, sourcing and tracking measurable KPIs
  • Prioritizing KPIs and transformation scope within a customer budget
  • Confirming success criteria with executive sponsors and stakeholders
  • Matching a CSP's vision and goals to Agentforce Communications components
  • When to recommend Enterprise Product Catalog
  • When to recommend Industries CPQ and order capture
  • When to recommend Digital Commerce for self-service channels
  • When to recommend Industries Order Management
  • When to recommend Contract Lifecycle Management and Document Generation
  • Scoping CSP business processes by input and outcome
  • Process map audience, level of detail and governance
  • Primary, secondary and out-of-scope personas for a CSP project
  • CSP roles and mapping users to personas
  • Persona-based user stories and acceptance criteria
  • Functional versus non-functional requirements in telco discovery
  • Discovery artifacts for processes and requirements and when to use each
  • Steering requirements-gathering workshops with telco stakeholders
  • Documenting current and projected data volumes as non-functional requirements
  • Large data volume strategies for subscriber, asset and order records
  • On-platform versus off-platform placement of high-volume telecom data
  • Platform event publishing and delivery allocations at projected volumes
  • Omnistudio recommended limits for high-volume guided processes
  • Peak self-service traffic and Digital Commerce elastic scaling
  • Quote and cart scale for large multi-site B2B deals
  • Configure, buy, or build decisions in an Agentforce Communications fit-gap
  • Mapping CSP personas to Agentforce Communications applications
  • Mapping order capture requirements to native capabilities and master data sources
  • Mapping MACD requirements to native asset-based ordering
  • Mapping fulfillment, installation and customer update needs to native capabilities
  • Off-platform systems retained alongside Agentforce Communications
  • Enterprise Product Catalog versus an existing external product catalog
  • Native Industries Order Management versus a third-party order management system

Given processes / requirements, use architectural guidelines and best practices to rationalize, model, and design a scalable product catalog

0/10

  • Commercial versus technical catalog layers in an SID-aligned EPC model
  • Shared enterprise catalog versus siloed channel catalogs
  • Offer specifications versus product specifications
  • Object type hierarchy and attribute inheritance design
  • Attribute-based variants versus separate products for catalog rationalization
  • Bundle structure and cardinality for configurable offers
  • Price list, pricing plan and time policy structure in EPC
  • Promotions, discounts and bundle-level price adjustments
  • Catalog build sequence and entity dependencies
  • Product versioning and catalog change management

Given a delivery/implementation scenario, describe the appropriate decomposition scenarios for commercial products

0/14

  • When to introduce technical products versus fulfilling from commercial products
  • Technical product specification design in the Enterprise Product Catalog
  • Flat versus hierarchical CFS and RFS technical catalog modeling
  • One-to-one versus one-to-many decomposition relationships
  • Many-to-one decomposition to a shared technical product
  • Mapping rules from commercial attributes to technical products
  • Condition rules on decomposition relationships
  • Choosing a decomposition scope for technical products
  • Parent-child technical product relationships with Top Order Item scope
  • Product class decomposition for products sharing one fulfillment process
  • Multi-level decomposition depth and per-system resource entities
  • Grouping, event service and augmented callout decomposition patterns
  • Fulfillment actions derived from technical inventory during decomposition
  • Decomposition design for scale and maintainability

Given a set of order fulfillment requirements, design orchestration flows that align to architectural guidelines and best practices

0/12

  • Master end-to-end plan versus function-specific plan definitions
  • Orchestration scenarios by product and order action
  • Plan reuse and association to commercial versus technical products
  • Orchestration item types for automated, asynchronous and manual fulfillment tasks
  • Sequencing orchestration items with dependencies and conditions
  • Converging plan design and single termination point
  • Assetization auto task placement in the orchestration plan
  • Point of no return placement in orchestration plans
  • In-flight amendments and compensating orchestration items
  • Dynamically generated orchestration versus statically designed workflows
  • Reducing parallel orchestration items to avoid record locking
  • Orchestration plan size, processing time and Apex limit mitigation

Given a set of order capture/quoting requirements, design quoting and order capture flows that align to architectural guidelines

0/12

  • Opportunity, quote and direct-order entry points in the order capture flow
  • Assisted cart ordering versus Digital Commerce self-service channels
  • Omnistudio guided selling flows around quote and order capture
  • Availability and eligibility rules during product selection
  • Compatibility and configuration validation in the cart
  • Pricing, promotions and discount handling in quote design
  • Quote proposals and contracts with Document Generation and CLM
  • Enterprise Sales Management versus the standard CPQ cart for large multi-site B2B deals
  • Enterprise quote and order enrichment through final order submission
  • Order capture handoff to Industries Order Management
  • Future-dated orders and order queuing
  • Amending in-flight orders versus follow-on quotes and MACD changes

Given a set of business data requirements, create a scalable and extensible migration strategy to ensure data quality and a seamless migration

0/11

Scoping active versus historical transactional data for migration

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Rationalizing a legacy SKU catalog versus lift-and-shift into EPC

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Pre-load data profiling, cleansing and deduplication

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Legacy key cross-referencing and external IDs for repeatable loads

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Migration tooling and bulk load techniques for catalog versus high-volume records

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Load sequencing and record dependencies across catalog, customer and asset data

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Preparing migrated assets for asset-based ordering and MACD

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Backfilling Order Management technical inventory for migrated assets

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Scaling inventory item creation for large migrated install bases

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Mock migrations and post-load reconciliation

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Big bang versus phased cutover and in-flight order handling

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Given a set of user stories, identify the priority, dependency and size for each story to align them to respective sprints

0/6

  • Prioritizing user stories by business value, KPIs and MVP scope
  • Splitting telecom epics into sprint-sized user stories
  • Relative story sizing and Agentforce Communications complexity drivers
  • Dependency chain across decomposition, orchestration, assetization and MACD stories
  • External system and cross-team dependencies in sprint planning
  • Assigning stories to sprints by priority, dependency and capacity

Given a set of asset management requirements, design the asset management and MACD flows

0/10

  • Mapping customer change requests to MACD operation types
  • Asset-to-quote versus asset-to-order paths for MACD changes
  • Asset creation timing and provisioning status in fulfillment
  • Field and object mapping across the quote, order and asset cycle
  • Controlling what persists to assets and technical inventory
  • Preserving price and status on unchanged MACD lines
  • Change of plan and product version upgrades on existing assets
  • Move order design for relocations and account transfers
  • Enterprise B2B bulk MACD from the Asset Viewer
  • Asset reference IDs and line numbering at large-account scale
  • Fit-gap of a final design against native Agentforce Communications capabilities
  • Omnistudio low-code components versus custom LWC and Apex
  • Provided, custom and hybrid interface implementations in Industries CPQ
  • Upgrade-safe extension of packaged Enterprise Sales Management components
  • Custom code boundaries on Order Management action, status and state fields
  • Release scoping and phasing for an Agentforce Communications delivery
  • Sequencing the build of catalog, order capture and order management components
  • Building the technical catalog with Object Types and product Scope
  • Flat versus hierarchical technical catalog and shared technical products
  • Enterprise order capture configuration for large multi-site deals
  • Building and deploying Order Management Plus custom adapters and auto tasks
  • Technical inventory and assetization in Order Management
  • Orchestration plan structure to avoid row locks and race conditions
  • Promoting catalog and Omnistudio configuration across project environments
  • Test planning for order capture, orchestration and fulfillment integrations
  • Deploying orchestration and catalog changes while orders are in flight
  • Readying Order Management for production order and data volumes
  • Migration approach selection for legacy subscriptions and order history
  • Moving the legacy product catalog into Enterprise Product Catalog
  • Load sequencing and legacy-to-Salesforce ID mapping for migration
  • Creating technical inventory for migrated assets in Order Management
  • Cutover approach and coexistence with retained legacy BSS/OSS

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  1. Agentforce Communications Professional Checklist
  3. Planning and Design

Migration tooling and bulk load techniques for catalog versus high-volume records

Explainer

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Practice Question

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This is one of 137 concepts on the Salesforce Salesforce Accredited Agentforce Communications Professional exam.

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Next conceptLoad sequencing and record dependencies across catalog, customer and asset data

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0 of 137 concepts learned

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  1. Agentforce Communications Professional Checklist
  3. Planning and Design
Migration tooling and bulk load techniques for catalog versus high-volume records

Explainer

Learn More

Practice Question

Studying for this exam?

This is one of 137 concepts on the Salesforce Salesforce Accredited Agentforce Communications Professional exam.

Looking for practice exams? Click below to try one!

Keep going

Next conceptLoad sequencing and record dependencies across catalog, customer and asset data

Explainer

Moving data into Agentforce Communications calls for different tools depending on what you move. Catalog and configuration data, such as products and Omnistudio components, moves between orgs in data packs so related records stay connected. Large volumes of records, such as millions of accounts, load through Data Loader or an ETL tool using Bulk API, where speed and record locking become the main risks.
Core information
  • A data pack is a collection of components and related functionality packaged for deployment between orgs, for example from a sandbox to production. Each DataPack is a JSON file with one main object and its dependent objects. A MultiPack holds several main objects and their dependents, so combining data packs into multipacks makes it simpler to deploy multiple related objects.
More details and nuances
  • Keep data pack files small. Salesforce recommends 2 MB or less for import and export, and 1.3 MB or less if you get the error "Unable to connect to server (transaction aborted: timeout)". Size is not the only factor: Omnistudio configuration, dependencies between Omniscripts, and data shape also affect whether a deployment succeeds.

Explainer

Moving data into Agentforce Communications calls for different tools depending on what you move. Catalog and configuration data, such as products and Omnistudio components, moves between orgs in data packs so related records stay connected. Large volumes of records, such as millions of accounts, load through Data Loader or an ETL tool using Bulk API, where speed and record locking become the main risks.
Core information
  • A data pack is a collection of components and related functionality packaged for deployment between orgs, for example from a sandbox to production. Each DataPack is a JSON file with one main object and its dependent objects. A MultiPack holds several main objects and their dependents, so combining data packs into multipacks makes it simpler to deploy multiple related objects.
More details and nuances
  • Keep data pack files small. Salesforce recommends 2 MB or less for import and export, and 1.3 MB or less if you get the error "Unable to connect to server (transaction aborted: timeout)". Size is not the only factor: Omnistudio configuration, dependencies between Omniscripts, and data shape also affect whether a deployment succeeds.