Data 360 Consultant Practice Test 35 — 15 Questions

Question 1

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?

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

Accepted Answer

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

Answer

Party Identification Name

Answer

Contact Point String Match

Answer

Exact Name

Question 2

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

Answer

Calculated Insight DMO

Answer

Activation Target DMO

Question 3

Which TWO statements are true regarding the relationship between Individual DMOs and Unified Individual DMOs? Choose 2 options.

Accepted Answer

Source individual records are mapped into the Individual DMO.. Source individual records map to the Individual DMO, and identity resolution links multiple source individuals into a single Unified Individual DMO.

Answer

Unified Individual profiles are stored directly in core Salesforce CRM user tables.

Answer

The Individual DMO is populated directly by activation targets.

Answer

The Individual DMO cannot be used in identity resolution rulesets.

Question 4

A consultant needs to ingest a nested JSON file from an external API into Data Cloud. The JSON contains an array of transaction items nested inside a customer profile object. How should the consultant configure the data stream to properly handle this nested structure?

Accepted Answer

Configure the data stream parser to handle complex data types, generating separate Data Source Objects for parent and child nodes linked by keys.. When dealing with nested arrays or JSON structures, Data Cloud allows data stream transformations or the use of multiple related DSOs/DMOs where parent-child relationships are maintained through foreign keys generated during parsing.

Answer

Use a Calculated Insight to unnest the array after ingestion.

Answer

Reject the file, because Data Cloud only accepts flat CSV structures.

Answer

Flatten the entire JSON into a single flat string field within a single DMO.

Question 5

A consultant is setting up match rules in a Data Cloud ruleset and wants to use a phone number match. Which standard match rule type should be selected?

Accepted Answer

Exact Phone. Exact Phone is the standard match rule type used for evaluating telephone number attributes.

Answer

Party Phone Identification

Answer

Fuzzy Phone

Answer

Contact Point String Match

Question 6

A consultant needs to create a segment that identifies customers who purchased items from both 'Electronics' and 'Apparel' categories in the same single order transaction. How should this be structured in the Segment Canvas?

Accepted Answer

Place both Electronics and Apparel filters inside a single related object container for the Order Item object.. To ensure conditions happen within the same related record (the same order), the consultant must place both category filters inside the same related object container (Order -> Order Item) rather than separate top-level containers.

Answer

Use an exclusion container to subtract customers who only bought one category.

Answer

Write a Calculated Insight because the Segment Canvas cannot evaluate multiple categories per transaction.

Answer

Place Electronics in one container and Apparel in a separate container, then use an 'AND' operator between the containers.

Question 7

Which TWO of the following statements are accurate regarding streaming segments in Data Cloud? (Choose two.)

Accepted Answer

Streaming segments require all source DMOs to be enabled for streaming ingestion.. Streaming segments evaluate criteria continuously as data flows into streaming DMOs. They require streaming-enabled data sources and have specific structural rules compared to batch segments.

Answer

Streaming segments do not support activation to any external targets.

Answer

Streaming segments can utilize any batch DMO or custom object without streaming enablement.

Answer

Streaming segments must be manually published every hour by an administrator.

Question 8

A consultant is designing identity resolution for a global enterprise operating in multiple data spaces. What is a key architectural consideration regarding identity resolution and data spaces?

Accepted Answer

Identity resolution rulesets operate within the boundaries of a single data space and process data contained within that specific space.. Identity resolution rulesets and unified profiles are scoped within a single data space and cannot span across multiple data spaces natively without sharing mechanisms.

Answer

Data spaces replace the need for identity resolution rulesets by automatically merging records on ingestion.

Answer

Configuring identity resolution requires super-user access to the core Salesforce CRM multitenant database.

Answer

A single identity resolution ruleset can automatically merge profiles across multiple disparate data spaces simultaneously.

Question 9

During an identity resolution audit, a consultant discovers that a significant number of unified profiles contain blank first names even though the contributing source records populated valid first names. What is the root cause of this issue?

Accepted Answer

The Source Sequence rule placed a data source with blank first name values at the top of the priority list.. If the selected reconciliation rule evaluates to null due to rule ordering or if an excluded/unpopulated source is prioritized in Source Sequence, surviving attributes can end up blank.

Answer

Data Cloud automatically scrubs all first names for GDPR compliance during identity resolution.

Answer

The Individual DMO primary key was mapped incorrectly, deleting the first name column.

Answer

Fuzzy name matching strips out all text strings containing vowels.

Question 10

An enterprise is ingesting customer data from two different Salesforce orgs into a single Data Cloud instance. Both orgs contain customer records with overlapping email addresses. What foundational concept ensures that these separate records can be harmonized under a single profile?

Accepted Answer

Mapping to standard Cloud Information Model (CIM) Data Model Objects and running Identity Resolution. Harmonization maps disparate data sources into standard Cloud Information Model (CIM) DMOs, and Identity Resolution subsequently matches and unifies them into Unified Individuals.

Answer

Creating a Calculated Insight to overwrite duplicate keys

Answer

Master Data Streams

Answer

Enabling streaming ingestion on both CRM connectors

Question 11

A consultant is designing segment criteria using related objects. Which THREE of the following capabilities are supported within the Segment Canvas? (Choose three.)

Accepted Answer

Nesting multiple related object criteria to filter based on child object attributes.. The Segment Canvas supports various logical containers and operators, including inclusion, exclusion, related object attribute filters, and date/numeric operators.

Answer

Writing custom Python machine learning scripts directly inside the segment builder.

Answer

Directly modifying underlying raw Data Lake Object schemas from the canvas.

Question 12

A consultant is reviewing data streams in Data Cloud and notices that a specific batch data stream has failed consecutive runs. Which THREE troubleshooting steps should the consultant take to diagnose and resolve the issue?

Accepted Answer

Verify that the source data schema has not changed (e.g., modified column names or dropped fields).. When troubleshooting data stream failures, checking the ingestion logs/error messages, verifying source schema/file structure changes, and ensuring cloud storage permissions or connector tokens are valid are standard practices.

Answer

Restart the entire Data Cloud tenant instance from the Setup menu.

Answer

Manually rewrite the underlying Apache Spark cluster configuration files.

Question 13

A Data Cloud Consultant is configuring batch ingestion from an external cloud storage provider (Amazon S3). Which THREE configurations are required to successfully set up this data stream?

Accepted Answer

File format (e.g., CSV, JSON, Parquet). Setting up an S3 data stream requires specifying the file format, providing authentication credentials/connection details, and selecting the object structure or folder path to locate the source files.

Answer

Salesforce Marketing Cloud Business Unit ID

Answer

Pre-built Tableau dashboard ID

Question 14

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?

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.

Answer

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

Answer

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

Question 15

Which THREE of the following best practices should a consultant follow when building Calculated Insights to ensure optimal performance? (Choose three.)

Accepted Answer

Test and validate the SQL query logic using smaller datasets before scheduling full CI runs.. Calculated Insight performance depends on efficient SQL writing, proper selection of dimensions, avoiding overly complex nested subqueries where possible, and leveraging appropriate DMO relationships.

Answer

Embed REST API callouts inside the CI SQL to fetch external enrichment data.

Answer

Write queries against raw DLO files instead of normalized DMOs for faster execution.