Salesforce Data Cloud Consultant study plan

Diagram the end-to-end Data Cloud flow from ingestion through identity resolution, insight, segmentation, and activation, labeling every stage

Define 15 core platform terms in your own words, including data stream, data lake object, data model object, data space, identity resolution ruleset, calculated insight, segment, activation target, and data action

Differentiate how Data Cloud stores harmonized model objects versus raw lake objects, and state one practical consequence of each for querying and activation

Map three realistic business use cases to the specific Data Cloud capabilities each would require

Compare at least six ingestion paths by latency, supported payload shape, and refresh behavior

Select the appropriate ingestion path for four stated source scenarios and justify each choice in one sentence

Describe how a data stream maps source fields into a target lake object, including primary key and timestamp handling

Identify what happens on upsert versus insert-only loads and name two failure modes to monitor after ingestion

List the minimum metadata needed before a stream can be modeled into a data model object

Map four lake objects into harmonized data model objects, specifying field-level transformations and data types

Draw an entity relationship diagram for six data model objects with primary keys, foreign keys, and cardinality

Distinguish profile-type objects from engagement-type objects and place each of your six objects in the correct category

Identify two relationship patterns that would break segmentation and explain the correction for each

Write the key qualification rules needed to keep one profile object unique per individual

Explain how match rules, reconciliation rules, and rule ordering combine to produce a unified profile

Design a ruleset for two distinct personas using exact and fuzzy match rules appropriate to each

Define reconciliation logic for each matched attribute, prioritizing the most trusted source

Build five test cases covering clean match, near match, false positive, orphan record, and conflicting values

Predict how a change in rule order would alter match outcomes for at least two of your test cases

Tune match thresholds on your week 4 ruleset and document the precision-versus-recall tradeoff for each adjustment

Diagnose three common causes of over-merging and write the specific fix for each

Translate five business questions into segment definitions with inclusion criteria, exclusion criteria, and refresh cadence

Distinguish batch segments from streaming or near-real-time segments and choose the right type for three stated use cases

Validate that each segment definition references fields that exist in your week 3 data model

Write three calculated insight specifications with explicit formulas, grain, and filters

Differentiate calculated insights from segments and state which business questions each answers better

Design one segment that uses a calculated insight as a qualifying criterion

Identify two performance risks in segment logic and describe how to restructure the criteria to reduce them

Explain how segment membership changes propagate after source data refreshes

Map four activation targets to the correct activation pattern and required payload fields for each

Configure a data action conceptually, specifying which attributes and segment membership are sent and at what cadence

Describe how consent and contact policy checks are enforced at activation time and identify the point where a blocked record is dropped

Choose between direct activation and an integration-mediated pattern for three stated scenarios

List three activation monitoring signals and the threshold at which each should trigger investigation

Define a data space structure that isolates two business units while sharing one common profile object

Specify role-based access plus field-level masking for three sensitive attributes and state who can see unmasked values

Draft retention and deletion rules for three data categories and identify where each rule is enforced

Assemble an audit checklist covering ingestion lineage, identity resolution changes, segment edits, and activation history

Rehearse the full exam by completing a timed 60-question practice set and reviewing every missed item by domain