Data 360 Consultant Identity Resolution Practice Test 3 — 15 Questions

Question 1

An administrator notices that after adding a new Contact Point Phone match rule to an existing identity resolution ruleset, the number of unified profiles decreased drastically. What is the underlying reason for this?

Choose an answer to begin — your selection is scored in the full session.

Accepted Answer

The new match rule introduced broad matching criteria that bridged separate customer clusters together, causing over-merging.. Adding a new match rule with broad criteria (such as phone numbers shared among family members) can cause previously separate clusters to bridge together, resulting in a dramatic drop in unified profile counts (over-merging).

Answer

Reconciliation rules overrode the match rules and deleted conflicting profiles.

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The Contact Point Phone DMO failed to map correctly, causing all phone data to be ignored.

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Data Cloud automatically purges historical profiles whenever a match rule is edited.

Question 2

Where in Salesforce Data Cloud does a consultant navigate to create and manage Identity Resolution rulesets?

Accepted Answer

Data Cloud Setup > Identity Resolution. Identity Resolution rulesets are created and managed within the Identity Resolution tab under Data Cloud setup.

Answer

Data Cloud Setup > Activation Targets

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Setup > Security Controls > Identity Management

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Data Cloud Setup > Calculated Insights

Question 3

What is the primary purpose of individuation strategies in Salesforce Data Cloud Identity Resolution?

Accepted Answer

To determine how matching records are grouped and consolidated into unique unified profiles.. Individuation strategies in Identity Resolution define how matched records are grouped and consolidated into a single unified profile. They determine the criteria for creating unified individuals, such as whether to link records based on exact matches or fuzzy matches, and how to handle multiple matches. This directly controls the composition of unified profiles.

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To encrypt personally identifiable information (PII) before storage.

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To schedule automated data exports to AWS S3.

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To define segment membership criteria for marketing campaigns.

Question 4

A consultant is troubleshooting an identity resolution implementation where multiple source records from an e-commerce platform are failing to merge with CRM records despite having matching email addresses. Upon investigation, what is the most likely cause?

Accepted Answer

The e-commerce email field was mapped to a custom attribute instead of the standard Contact Point Email DMO with proper primary key/foreign key relationships.. If matching fails despite matching data, checking data mapping, data space segregation, or normalization discrepancies is crucial. Specifically, unmapped email fields or mapping to the wrong Contact Point Email type will prevent matching.

Answer

Reconciliation rules were set to Most Recent instead of Source Sequence.

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Data Cloud requires manual SQL triggers to activate e-commerce data streams.

Answer

The Unified Individual DMO is missing an activation target assignment.

Question 5

A consultant wants to ensure that when identity resolution executes, address fields are populated from the system with the highest data quality score, which is stored as a custom attribute. How should the consultant approach this?

Accepted Answer

Configure the Source Sequence reconciliation rule and prioritize the data sources according to the data quality hierarchy.. Since custom data quality rankings dictate precedence, Source Sequence is the appropriate reconciliation rule when configured with a prioritized source order representing data quality tiers.

Answer

Disable Identity Resolution and use data transform queries.

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Use the Highest Frequency rule to select the most common address.

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Write a Calculated Insight to overwrite the address field with SQL CASE statements.

Question 6

An architect is designing an identity resolution ruleset for a client with strict compliance requirements. The client requests that records from two distinct regional business units never be merged into the same unified profile, even if they share the exact same email address. How should the consultant configure Data Cloud to meet this requirement?

Accepted Answer

Create separate data spaces for each regional business unit, ensuring identity resolution rulesets operate within isolated boundaries.. Data spaces partition data logically. By isolating the regional business units into separate data spaces, identity resolution rulesets within each space will never cross-merge records between them.

Answer

Add a negative filter condition in the match rule definition for email addresses.

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Set the reconciliation rule to Source Sequence and rank regional units equally.

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Use Calculated Insights to drop all matching records before identity resolution runs.

Question 7

Which DMO is automatically populated as the primary output when an identity resolution ruleset is executed in Salesforce Data Cloud?

Accepted Answer

Unified Individual DMO. The Unified Individual DMO is the primary output object generated by running an identity resolution ruleset.

Answer

Unified Account DMO

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Contact Point DMO

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Individual Source DMO

Question 8

What role do match rules play within an Identity Resolution ruleset in Salesforce Data Cloud?

Accepted Answer

They define the criteria used to determine which source records represent the same individual and should be linked.. Match rules define the criteria used to identify whether multiple source records refer to the same individual.

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They dictate which field values survive on the unified profile.

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They export unified profiles to external marketing platforms.

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They cleanse raw data streams prior to ingestion.

Question 9

A consultant needs to configure a match rule that compares first names, last names, and postal codes simultaneously. How should this be configured within the Identity Resolution ruleset?

Accepted Answer

Create a single match rule containing multiple criteria attributes (First Name, Last Name, and Postal Code) evaluated together.. Match rules can combine multiple attributes to form composite matching criteria requiring all specified fields to align.

Answer

Create three separate rulesets, one for each attribute.

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Use Calculated Insights to generate a composite key for matching.

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Write an Apex trigger to combine the fields before ingestion.

Question 10

What does a reconciliation rule govern in a Salesforce Data Cloud Identity Resolution ruleset?

Accepted Answer

Which attribute values populate the unified profile fields from the contributing source records.. In a Salesforce Data Cloud Identity Resolution ruleset, a reconciliation rule governs which attribute values from the contributing source records populate the unified profile fields — for example, choosing the most recent or most frequent value for 'Phone' or 'Email.' Match rules determine which records link together, while reconciliation rules decide what the merged golden record actually contains.

Answer

Which source records are permitted to match based on email addresses.

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How segments are activated to external cloud storage destinations.

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The frequency at which data streams ingest records from Salesforce CRM.

Question 11

An organization experiences performance degradation and timeout errors whenever their scheduled Identity Resolution ruleset executes. Upon reviewing the setup, the consultant finds that the ruleset contains five broad fuzzy match rules running against 50 million records without any pre-filtering. What is the recommended architectural remedy?

Accepted Answer

Restructure the match rules to prioritize high-confidence exact matches first, followed by selective secondary rules, and remove overly broad fuzzy combinations.. Reducing unnecessary broad fuzzy rules and structuring match rules hierarchically (from exact high-confidence matches to broader fuzzy matches) optimizes performance.

Answer

Change all reconciliation rules from Most Recent to Longest String.

Answer

Increase the Salesforce CRM API polling frequency to every 5 minutes.

Answer

Delete all contact point email records older than 30 days.

Question 12

What is the primary function of the Unified Link Individual object in Salesforce Data Cloud?

Accepted Answer

It stores the many-to-one relationship mapping between source individual records and unified individual profiles.. The Unified Link Individual object maps source individual records to their corresponding unified individual record.

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It acts as an activation target for S3 exports.

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It stores encrypted authentication tokens for external API integrations.

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It houses raw marketing engagement logs.

Question 13

An administrator notices that after a scheduled identity resolution ruleset refresh, several unified profiles split into multiple separate profiles even though no match rules were altered. What is the most likely reason for this occurrence?

Accepted Answer

Source records were updated to remove or modify the shared matching attribute values, breaking the linkage.. If records lose their matching attribute values (e.g., an email address is cleared or updated to null in the source system), the bridge connecting them in the Unified Link object is severed, causing profiles to split upon refresh.

Answer

The reconciliation rule changed from Source Sequence to Most Recent.

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Data Cloud automatically splits profiles every 30 days for data hygiene.

Answer

Calculated insights purged the Unified Link Individual table.

Question 14

A consultant is configuring identity resolution and needs to make sure that nicknames (such as 'Bob' for 'Robert') are accounted for when matching first names. Which match rule setting should be selected?

Accepted Answer

Fuzzy Name. Fuzzy Name matching incorporates algorithms that recognize common variations, phonetic spellings, and standard nicknames.

Answer

Party Identification Name

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Contact Point String Match

Answer

Exact Name

Question 15

An enterprise client implements identity resolution across three different data streams: CRM, eCommerce, and POS. The consultant notices that POS records are frequently overwriting verified CRM data on unified profiles. Which configuration adjustment will correct this issue while preserving data integration?

Accepted Answer

Modify the Source Sequence reconciliation rule to rank the CRM data source higher than the POS data source.. Updating the Source Sequence reconciliation rule to rank CRM higher than POS ensures CRM data takes precedence over POS data.

Answer

Disable the POS data stream from participating in the identity resolution ruleset.

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Switch the reconciliation rule from Source Sequence to Longest String.

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Delete all POS unified link records using SQL in data transforms.