Data 360 Consultant Identity Resolution Practice Test 5 — 15 Questions

Question 1

An architect is reviewing an identity resolution ruleset where customer records from a legacy billing system are frequently failing to link with CRM records because the legacy system stores names in ALL CAPS while CRM uses Title Case. What is the best way to handle this?

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

Accepted Answer

Ensure data streams map to standard DMO fields, as Data Cloud automatically applies normalization rules (such as case insensitivity and whitespace stripping) during matching.. Data Cloud's Identity Resolution engine normalizes data during matching — it applies case-insensitivity, whitespace trimming, and standard formatting to fields like names before comparing them. As long as the legacy billing stream maps to the standard Individual/Contact DMO name fields, the ALL CAPS vs Title Case difference will not prevent matching.

Answer

Write a custom SQL data transform to convert all legacy billing names to lowercase before ingestion.

Answer

Create a calculated insight to concatenate legacy billing names with CRM names.

Answer

Disable fuzzy matching and switch to Exact Name matching.

Question 2

Which TWO objects are core components directly involved in the output of an Identity Resolution ruleset in Salesforce Data Cloud? Choose 2 options.

Accepted Answer

Unified Link Individual object. The Identity Resolution ruleset's output is materialized in the Unified Individual DMO (option D), which stores the consolidated, golden-record profile built from matched source profiles, and in the Unified Link Individual object (option B), which stores the match/relationship links between the unified profile and the individual source records that were reconciled into it. These two objects are the direct artifacts produced when the ruleset runs, enabling downstream segmentation and activation on a single resolved identity. The Activation Target object (option A) is a downstream activation configuration, not an output of identity resolution, and the Ingestion Data Stream object (option C) is an input source of data feeding Data Cloud. The Calculated Insight definition table (option E) is a separate analytics/derived-metric construct and is not generated by the identity resolution ruleset.

Answer

Activation Target object

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Ingestion Data Stream object

Answer

Calculated Insight definition table

Question 3

Which TWO match rule types are natively available out-of-the-box in Salesforce Data Cloud Identity Resolution? Choose 2 options.

Accepted Answer

Exact Phone. Exact Email and Exact Phone are standard out-of-the-box match rules available in Data Cloud.

Answer

Einstein LLM Semantic Match

Answer

Apex Trigger Match

Answer

Custom SQL Regex Match

Question 4

Which TWO factors should a consultant consider when designing match rules to prevent over-merging of customer profiles? Choose 2 options.

Accepted Answer

Combining multiple attributes (e.g., First Name AND Last Name AND Postal Code) within a single match rule.. Option B is correct because combining multiple attributes such as First Name AND Last Name AND Postal Code within a single match rule increases the specificity of the match criteria, requiring records to agree on several fields before they are merged, which sharply reduces false-positive (over-merge) matches. Option C is correct because high-cardinality, unique identifiers like email addresses or specific party IDs have very low collision probability, so using them as match criteria ensures that only records truly referring to the same individual are unified. Option A is wrong because running identity resolution only once per year does not affect match precision and would instead leave profiles stale and unmerged for long periods. Option D is wrong because disabling all contact point email mappings removes a valuable matching attribute and degrades data quality rather than preventing over-merging. Option E is wrong because setting the reconciliation rule to Most Recent across all attributes governs which value survives after a merge, not whether records match, so it does nothing to prevent over-merging.

Answer

Running identity resolution jobs only once per year.

Answer

Disabling all contact point email mappings in the data model.

Answer

Setting the reconciliation rule to Most Recent across all attributes.

Question 5

Which THREE conditions or best practices apply when configuring Party Identification matching in Data Cloud? Choose 3 options.

Accepted Answer

Match rules should evaluate both the identification number and the identification type to prevent cross-system collisions.. Option A is correct because Party Identification matching must compare both the identification number and the identification type together; matching on the number alone would cause false matches when different systems reuse the same value for different identifier types (e.g., a loyalty ID and a national ID sharing digits). Option B is correct because the identifier field must be populated consistently across all source systems so that the same real-world identifier is represented in the same field with the same format, enabling reliable matching rather than null or divergent values. Option D is correct because the Party Identification DMO must be correctly mapped from the source data streams; if the identifier attributes are not mapped into the Party Identification DMO, the matching engine has no data to evaluate and rules cannot resolve parties. Option C is incorrect because Data Cloud matching respects data space boundaries and does not automatically bypass partitioning. Option E is incorrect because Party Identification rules operate on mapped DMO data and do not depend on Calculated Insights to function.

Answer

Party Identification rules automatically bypass data space partitioning boundaries.

Answer

Party Identification rules require Calculated Insights to function.

Question 6

Which TWO actions can an administrator perform from the Identity Resolution setup interface in Data Cloud? Choose 2 options.

Accepted Answer

Create and edit identity resolution rulesets, match rules, and reconciliation rules.. Administrators can create/edit rulesets and trigger manual runs from the Identity Resolution setup interface.

Answer

Write custom Apex triggers for ingestion streams.

Answer

Provision new core CRM user licenses.

Answer

Deploy Marketing Cloud activation targets.

Question 7

Which THREE statements are true regarding how Data Cloud handles data spaces and identity resolution rulesets? Choose 3 options.

Accepted Answer

Identity resolution rulesets are scoped to operate within a single data space.. Rulesets operate within data spaces, profiles cannot cross data space boundaries, and each data space can host its own identity resolution configuration.

Answer

A single ruleset can automatically synchronize profiles across all global data spaces simultaneously.

Answer

Data spaces are optional virtual folders that have no impact on identity resolution.

Question 8

Which TWO contact point objects can be utilized in standard identity resolution match rules? Choose 2 options.

Accepted Answer

Contact Point Email DMO. Contact Point Email and Contact Point Phone are standard objects used in identity resolution match rules.

Answer

Data Stream Log DMO

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Calculated Insight DMO

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Activation Target DMO

Question 9

Which THREE outcomes occur when source records are successfully matched and linked into a unified profile during Identity Resolution? Choose 3 options.

Accepted Answer

Reconciliation rules evaluate contributing records to populate the attributes on the Unified Individual profile.. Successful linking creates unified link records, populates the unified individual profile using reconciliation rules, and enables unified segmentation.

Answer

Core Salesforce CRM records are automatically overwritten and modified.

Answer

Source records are permanently deleted from the source data streams.

Question 10

Which THREE technical factors can negatively impact Identity Resolution performance or job execution time in Data Cloud? Choose 3 options.

Accepted Answer

Overly broad fuzzy match rules lacking sufficient pre-filtering criteria.. Option B is correct because overly broad fuzzy match rules without sufficient pre-filtering criteria force the Identity Resolution engine to compare an excessive number of record pairs, dramatically increasing match computation time and degrading performance. Option D is correct because processing extremely high data volumes without structuring match rules hierarchically means the engine cannot apply cheaper, more selective rules first to narrow the candidate set, so it must evaluate far more comparisons across the full dataset. Option E is correct because improperly mapped primary key and foreign key relationships on source DMOs break the join logic Identity Resolution relies on to correlate related records, causing incorrect or incomplete matching and wasted processing effort. Option A is not a negative factor since scheduling during off-peak hours actually reduces contention and improves job execution. Option C is not inherently a performance problem because Source Sequence versus Most Recent is a reconciliation strategy choice affecting which value wins, not the speed or efficiency of the matching process.

Answer

Scheduling identity resolution to run during off-peak hours.

Answer

Using Source Sequence reconciliation rules instead of Most Recent.

Question 11

Which TWO attributes are commonly evaluated in identity resolution match rules to establish customer identity? Choose 2 options.

Accepted Answer

Email Address. Email Address (A) is correct because it is a unique, high-cardinality personal identifier commonly used as a deterministic match key in identity resolution to link profiles across sources. Telephone Number (B) is also correct because it serves as a strong personal identifier frequently used in match rules to unify customer records when email is missing or inconsistent. Calculated Insight SQL Formula (C) is incorrect because it defines derived analytics logic, not an identity attribute used for matching. Data Stream Ingestion Schedule (D) is incorrect because it governs when data is ingested, not how identities are matched. Activation Target URL (E) is incorrect because it specifies a destination for segment activation, not a matching attribute.

Answer

Calculated Insight SQL Formula

Answer

Data Stream Ingestion Schedule

Answer

Activation Target URL

Question 12

Which THREE methods can be used to manage or trigger Identity Resolution ruleset processing in Salesforce Data Cloud? Choose 3 options.

Accepted Answer

Configuring scheduled recurring automated runs of the ruleset.. Option B is correct because Identity Resolution rulesets in Data Cloud can be configured to run on a recurring schedule, allowing automated batch processing at defined intervals. Option C is correct because rulesets can be set to execute automatically after data stream ingestion updates, ensuring newly ingested data is reconciled into unified profiles. Option E is correct because administrators can manually trigger an on-demand run of a ruleset directly from the Identity Resolution setup UI in Data Cloud. Option A is incorrect because Apex triggers in core CRM cannot invoke Data Cloud identity resolution batches; identity resolution is managed within Data Cloud, not via CRM Apex. Option D is incorrect because there is no Marketing Cloud REST API endpoint that compiles unified profiles for Data Cloud identity resolution; that processing is native to Data Cloud.

Answer

Writing an Apex trigger in core CRM to invoke identity resolution batches.

Answer

Calling a REST API endpoint in Marketing Cloud to compile unified profiles.

Question 13

Which THREE best practices should a consultant follow when troubleshooting an identity resolution implementation where unified profile counts appear unexpectedly inflated? Choose 3 options.

Accepted Answer

Review match rule criteria to ensure that necessary matching attributes (like email or phone) are not omitted or unmapped.. Inflated profile counts often indicate under-merging caused by missing match rules, unmapped attributes, or overly restrictive matching criteria.

Answer

Switch all reconciliation rules from Source Sequence to Longest String.

Answer

Delete all data spaces and restart the entire Salesforce CRM instance.

Question 14

Which THREE considerations are critical when an architect plans an identity resolution strategy for an enterprise consolidating customer data from CRM, Commerce, and Marketing systems? Choose 3 options.

Accepted Answer

Selecting match rules that accommodate varying data formats and identifier types across Commerce, CRM, and Marketing.. Option C is correct because identity resolution depends on match rules that can handle the heterogeneous identifiers and formats coming from Commerce, CRM, and Marketing, such as differing email formats, phone number conventions, or customer IDs, so profiles can be linked accurately. Option D is correct because a source system hierarchy with Source Sequence prioritization defines which system's value wins when conflicting attributes arrive from multiple sources, which is essential for deterministic reconciliation. Option E is correct because data spaces must be architected to partition or share data according to business unit, privacy, and governance requirements, ensuring identity resolution operates within the correct data boundaries. Option A is not required because identity resolution is specifically designed to reconcile disparate keys rather than forcing identical primary key structures before ingestion. Option B is incorrect because calculated insights consume resolved profiles; they do not replace the match rules that perform identity resolution.

Answer

Mandating that all source systems use identical primary key structures before ingestion.

Answer

Configuring calculated insights to replace identity resolution match rules entirely.

Question 15

Which TWO items are required when configuring a new identity resolution ruleset in Salesforce Data Cloud? Choose 2 options.

Accepted Answer

Configure at least one match rule.. Option A is correct because an identity resolution ruleset must contain at least one match rule, which defines the matching criteria (such as exact, fuzzy, or normalized matching on fields like email or phone) used to determine when source profiles are considered the same individual. Option D is correct because the ruleset requires selecting the primary target DMO, typically Unified Individual, which specifies the unified profile object that reconciled records are written to. Option B is incorrect because an AWS S3 activation target is configured for data activation/segmentation, not for identity resolution. Option C is incorrect because identity resolution is declarative configuration in Data Cloud and does not require a custom Apex web service. Option E is incorrect because Calculated Insights are separate SQL-based metrics and are not part of an identity resolution ruleset.

Answer

Configure an AWS S3 activation target.

Answer

Create a custom Apex web service.

Answer

Write a Calculated Insight SQL query.