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Cert Exam Prep
Study guides, practice questions and study plans for Salesforce certification exams.
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Salesforce Pipeline Inspection & Forecasting
Salesforce Pipeline Inspection explained: setup, metrics, weekly change highlights, deal insights, charts and how it fits with forecasting.
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Einstein Forecasting vs Collaborative Forecasting
Einstein Forecasting vs Collaborative Forecasting: what each does, data requirements, licenses and when to use both together.
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Salesforce Permission Sets & Permission Set Groups Explained
Salesforce permission sets and permission set groups explained: how they differ from profiles, how muting works, and a practical way to move access off…
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Agentforce Sales Consultant Practice Exam: 30 Scenario Questions
30 original Agentforce Sales Consultant practice questions across all five exam sections, each with the answer and a full explanation.
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Service Cloud Voice Setup Guide: Salesforce Voice Telephony & Licensing
How to set up Service Cloud Voice, now Salesforce Voice: prerequisites, partner telephony setup steps, how licensing and billing work, and the limits to…
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Salesforce Sandbox Types: Developer, Partial & Full Compared
Salesforce sandbox types compared: Developer, Developer Pro, Partial Copy and Full, with refresh intervals, storage, what gets copied and when to use each.
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Einstein for Sales: Every AI Feature in Sales Cloud
Every AI feature in Sales Cloud in one place: predictive Sales Cloud Einstein scoring, generative Einstein for Sales actions and the licenses each needs.
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Salesforce Collaborative Forecasting: Setup, Types & Adjustments
Set up Salesforce Collaborative Forecasting (now Pipeline Forecasting): users, hierarchy, forecast types, categories, rollups, adjustments and quotas.
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Salesforce Lead Management: Process, Assignment and Best Practices
How Salesforce lead management works: capturing leads, assignment rules and queues, lead status, scoring, duplicate rules and conversion, with best practices for the Sales…
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Einstein Lead Scoring in Salesforce: Setup & How It Works
How Einstein Lead Scoring builds its model, the data it needs, the setup steps, segments and why some leads show no score.