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  3. Platform Administrator II

Platform Administrator II

Checklist progress

0/215Learned

Platform Administrator II

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
  • 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 Consumer Goods AP
  • Agentforce Financial Services AP
  • Agentforce Health AP
  • Agentforce Manufacturing AP
  • 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 Architect

Checklist progress

0/215Learned

  • Organization-wide defaults versus role hierarchy access
  • Field-level security versus page layout visibility
  • Grant Access Using Hierarchies on custom objects
  • Controlled by Parent access on child records
  • Sharing rules as additive record access
  • Owner-based versus criteria-based sharing rules
  • Manual sharing behavior on ownership transfer
  • Implicit sharing on parent-child records
  • Account team access versus consolidated record access
  • Report and dashboard folder sharing
  • Email template folder access
  • Territory Management default record access
  • Territory membership versus role hierarchy access
  • Standard versus custom profile editability
  • Additive permission set grants versus profile baseline
  • When to use a permission set instead of a new profile
  • Profile-only settings versus permission set capabilities
  • Permission set groups for job functions
  • Session-based permission sets for temporary access
  • When to use delegated administration
  • Delegated administration capabilities and limits
  • Organization versus profile password policies
  • Organization versus profile login hours
  • Trusted IP ranges versus profile login IP ranges
  • Identity verification and device activation
  • Multi-factor authentication requirements
  • Session security and high-assurance sessions
  • My Domain login policies
  • Freezing versus deactivating a user
  • SAML single sign-on as service provider
  • Delegated authentication versus SAML
  • Social sign-on versus single sign-on
  • Login flows after authentication
  • Certificate-based user authentication
  • Business accounts versus Person accounts
  • Person account enablement prerequisites
  • Business account to Person account conversion
  • Contacts to Multiple Accounts versus a single parent account
  • Contacts to Multiple Accounts setup
  • Direct versus indirect account-contact relationships
  • Contacts to Multiple Accounts considerations
  • Sharing implications of Person accounts and related contacts
  • Custom objects versus fields on standard objects
  • Master-detail versus lookup for object extension
  • Lookup field deletion behaviors
  • Converting master-detail relationships to lookups
  • Multilevel master-detail and subdetail records
  • Junction objects for many-to-many models
  • Junction object primary master and sharing
  • Related lists for related object data
  • Record types for picklists and business processes
  • Record type profile availability and defaults
  • Schema Builder for data model changes
  • Object Creator for extending objects
  • Lightning App Manager branding and navigation
  • Lightning page types in App Builder
  • Lightning App Builder versus page layout editor
  • Standard Lightning page components
  • Lightning page activation and assignment
  • Dynamic Forms versus Record Detail
  • Dynamic Forms migration and limitations
  • Dynamic related lists in Lightning App Builder
  • Lightning console apps versus standard apps
  • Lightning pages for console apps
  • Lightning page Analyze button

Given a scenario, determine the appropriate tools for monitoring and troubleshooting system activity

0/2

  • Setup Audit Trail for configuration change history
  • Debug logs for transaction and automation troubleshooting

Explain how to ensure sensitive data is set up to support a business/legal/compliance use case in production and sandbox environments

0/8

Field data classification for compliance policies

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Field Audit Trail for compliance retention

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Shield Platform Encryption for data at rest

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Deterministic versus probabilistic encryption

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Platform Encryption key management

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Sandbox data masking and anonymization

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Data Mask masking types

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Sandbox seeding versus full-copy masking

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Explain how to review and troubleshoot security settings including pending updates that may change system access

0/4

  • Security Health Check review and remediation
  • Reviewing effective user access
  • Release Updates affecting system access
  • Troubleshooting unexpected access from security settings
  • Products versus price books in the sales catalog
  • Standard Price Book versus custom price books
  • Opportunity price book and opportunity products
  • Quantity versus revenue product schedules
  • Quotes created from opportunities
  • Quote sync with opportunity products
  • Order Settings and enabling orders
  • Creating orders from quotes and opportunities
  • Activated orders versus reduction orders
  • Removing products and price books
  • Pipeline forecast types
  • Forecast categories and stage mapping
  • Forecast quotas, periods, and fiscal year
  • Forecasts hierarchy for role-based rollups
  • Manager judgments in pipeline forecasts
  • Pipeline forecast submissions
  • Territory types and hierarchy
  • Territory model states
  • Account assignment rules versus manual assignment
  • Opportunity assignment to territories
  • Territory hierarchy versus role hierarchy
  • Territory administration permissions
  • Role-based versus territory-based forecasts
  • Territory forecast manager assignment
  • Lightning Knowledge enablement
  • Lightning Knowledge user access
  • Knowledge article record types and page layouts
  • Data category groups and category hierarchy
  • Data category visibility
  • Knowledge article lifecycle
  • Knowledge article import
  • Entitlements versus entitlement processes versus milestones
  • Entitlement models for accounts, contacts, assets, and contracts
  • Entitlement Management enablement and lookup filters
  • Creating and maintaining entitlement records
  • Service contracts with related entitlements
  • Entitlement templates for products and assets
  • Entitlement process timelines, entry, and exit
  • Support milestones on entitlement processes
  • Milestone warning, violation, and success actions
  • Business hours in entitlement milestone timing
  • Case and work order movement through entitlement processes
  • Entitlement verification and Milestone Tracker on cases
  • Entitlement process versioning
  • Agentforce Service Console workspace
  • Case Feed actions for agent-customer communication
  • Chat and Enhanced Chat for customer conversations
  • Omni-Channel routing and agent capacity
  • Experience Cloud sites for customer self-service
  • Site Case Feed for Experience Cloud members
  • Sales, Service, Marketing, and Commerce product fit
  • Salesforce edition and suite implications
  • Salesforce Foundations bundled capabilities
  • Experience Cloud as a platform extension
  • Data quality assessment and management plans
  • Field data types for data quality
  • Picklist administration for data quality
  • Validation rules versus formula fields for data quality
  • Matching rules versus duplicate rules
  • Merging duplicate records
  • Duplicate jobs and duplicate record sets
  • Record data enrichment tools
  • In-org archival and mass delete
  • Custom report types versus standard report types
  • Cross filters versus field filters
  • Report bucket fields versus formula fields
  • Custom summary formulas versus row-level formulas
  • Complex report and dashboard charting
  • Joined reports versus a single report type
  • When to use reporting snapshots
  • Dashboard filters versus cloned dashboards
  • Dynamic dashboards versus specified running user
  • Data backup versus data archive
  • Native data export versus third-party backup
  • Data warehouses and data lakes for off-platform data
  • Big objects versus Salesforce Connect versus Heroku Connect
  • Salesforce Connect adapter selection
  • External lookup versus indirect lookup relationships
  • Salesforce Connect feature support and limitations
  • Data Import Wizard versus Data Loader
  • Data Import Wizard matching options
  • External ID matching for upserts
  • Relating imported records with External IDs
  • Sandbox types and what they copy from production
  • Sandbox refresh implications
  • Sandbox copy versus change set deployment
  • Managed versus unmanaged packages
  • Change sets versus packages for unrelated orgs
  • Deployment connections for change sets
  • Outbound versus inbound change sets
  • Permissions to upload and deploy change sets
  • Components available in change sets
  • Change set coverage for data and destructive changes
  • Dependent components in change sets
  • Profile settings and permission sets in change sets
  • Inbound change set validation versus deployment
  • Apex tests when deploying change sets
  • Flow versus Process Builder and Workflow Rules
  • Flow versus Apex for business automation
  • Screen Flow versus record-triggered Flow
  • Record-triggered versus scheduled Flow
  • Formula fields versus Flow
  • Formula fields combined with Flow
  • Approval processes versus Flow for record review
  • Classic approval processes versus Flow approvals
  • Approval processes combined with Flow
  • Flow Orchestration versus Flow Builder
  • Migrate to Flow versus rebuilding automation
  • Flow tests versus Flow Debugger
  • Flow fault paths and error emails
  • Monitoring flow and orchestration runs
  • Debug logs for declarative automation
  • Declarative automation that never ran
  • Delayed and waiting automation diagnosis
  • Process Builder and workflow failure diagnosis
  • Classic approval process troubleshooting
  • Flow approval process troubleshooting
  • Orchestration run details and debug modes
  • Screen flow input, navigation, and Lightning page placement
  • Before-save versus after-save record-triggered flow capabilities
  • Flow create update and delete versus Workflow and Process Builder
  • Scheduled paths versus time-dependent workflow actions
  • Workflow rule remaining actions and limitations
  • Classic approval process steps actions and record locking
  • Flow approval processes versus Classic approval processes
  • Flow interview bulkification and transaction limits
  • System validation versus custom validation in the save order
  • Before-save versus after-save record-triggered Flow timing
  • Duplicate-rule block actions versus later automation
  • Assignment and auto-response rules versus later automation
  • Record-triggered Flow trigger order on one object
  • Process Builder and after-save flows in the late save window
  • Workflow field updates re-entering the save order
  • Roll-up summary parent updates re-entering the save order
  • Approval field updates re-entering the save order
  • After-commit emails and scheduled paths versus in-save automation

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Sandbox data masking and anonymization

Explainer

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Practice Question

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Next conceptData Mask masking types

Checklist progress

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0 of 215 concepts learned

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Prepare for the Exam

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Study Community

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Explainer

Sandbox copies of production often contain personal information, and a wider group of developers, employees, and contractors may see data they cannot access in production. Masking and anonymization replace those sensitive values so teams can still develop, test, and train while supporting privacy rules such as GDPR, CCPA, PCI DSS, and HIPAA. Anonymize from Salesforce uses templates to select object fields and disguise their values in a sandbox, either as a standalone job or as part of seeding.

Core information
  • Production orgs are watched closely for privacy leaks, but sandboxes used for development and testing can still hold PI and PII, such as names, phone numbers, emails, addresses, Social Security numbers, credit card and banking details, compensation, and other secrets, so a contractor building a custom object can see patient or customer data that would be restricted in production.
More details and nuances
  • Salesforce schema does not mark every sensitive field, so Anonymize infers what to disguise: Street, City, State, Country, and Postal Code by Label; Account Name as a company name and Contact Name as a person name; FirstName and LastName accordingly; other Name fields as regular strings; Email, Phone, and URL by field type; national ID numbers via MaskType, with the all MaskType using SIN-style anonymization; credit cards via the creditCard MaskType; and encrypted strings as strings of the original length.