Data 360 Consultant Data Cloud Overview Practice Test 4 — 15 Questions

Question 1

An enterprise architect is evaluating Data Cloud licensing and consumption models. Which TWO components directly contribute to Data Cloud credit consumption? (Choose two.)

Accepted Answer

Identity Resolution processing jobs and segmentation runs. Data Cloud consumption is driven by data ingestion volume, storage, identity resolution processing, segmentation runs, and query executions.

Answer

Creation of custom Lightning record page layouts in Sales Cloud

Answer

Number of standard Salesforce CRM user licenses assigned in Sales Cloud

Answer

Number of Salesforce reports created in the CRM reporting tab

Question 2

A consultant is designing an architecture where Salesforce Service Cloud cases need to trigger immediate actions in Data Cloud. Which TWO mechanisms can be used to stream or ingest Service Cloud data into Data Cloud? (Choose two.)

Accepted Answer

Standard Salesforce CRM Connector with streaming enabled. Option C is correct because the standard Salesforce CRM Connector for Data Cloud supports streaming ingestion, allowing Service Cloud objects such as Case to be synchronized into Data Cloud in near real time when streaming is enabled. Option D is correct because Data Cloud streaming connectors can consume Salesforce Platform Events and Change Data Capture (CDC) events, which publish Service Cloud record changes and custom events immediately for ingestion into Data Cloud. Option A is not appropriate because OCR scanning of printed case summaries is a batch, manual, and lossy process that cannot provide immediate triggering. Option B is not appropriate because weekly manual exports and courier delivery are offline batch transfers with no real-time capability. Option E is not appropriate because Data Cloud does not execute direct SQL queries against the Service Cloud production database; integration occurs through supported connectors, APIs, or event streams.

Answer

Printing physical case summaries and scanning them via OCR data streams

Answer

Manual weekly export of cases to an external hard drive and courier delivery

Answer

Direct SQL queries executed from Data Cloud against the Service Cloud production database

Question 3

Universal Containers wants to implement Data Cloud to unify customer data from multiple sources across Sales Cloud, Marketing Cloud Engagement, and an external legacy order management system. Which architectural component should the consultant recommend as the foundational layer to ingest and normalize this data?

Accepted Answer

Data Streams. Data Streams are the foundational ingestion layer in Data Cloud. They connect to source systems (Sales Cloud, Marketing Cloud Engagement, external systems via S3, Snowflake, etc.) and bring raw data into Data Lake Objects (DLOs), which are then mapped and transformed into Data Model Objects (DMOs). Without Data Streams, no data enters Data Cloud, so they are the correct foundational component for ingesting and normalizing multi-source data.

Answer

Activation Targets

Answer

Data Spaces

Answer

Calculated Insights

Question 4

A consulting firm is setting up Data Cloud for a multinational enterprise with distinct business units in North America and Europe. The enterprise requires strict data governance and logical separation of customer data between these two regions within a single Data Cloud instance. What should the consultant implement?

Accepted Answer

Data Spaces. Data Spaces provide logical partitioning of data, metadata, and user access within a single Data Cloud instance, which is exactly what is needed to separate North American and European business units while maintaining governance. They isolate data streams, DMOs, and segments per space and let administrators assign users to specific spaces. This satisfies the requirement for strict governance and logical separation without deploying multiple instances.

Answer

Individual Data Model Objects with custom formula fields

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Permission Sets limiting object visibility

Answer

Multiple Data Cloud instances with Marketing Cloud Connect

Question 5

Northern Trail Outfitters needs to ingest customer profile updates from Sales Cloud in near real-time. Which connector type should the consultant configure to achieve this requirement?

Accepted Answer

Salesforce CRM Data Stream using Change Data Capture. A Salesforce CRM Data Stream configured with Change Data Capture (CDC) delivers near real-time updates from Sales Cloud to Data Cloud. CDC emits change events as records are created or modified in Salesforce, and the Data Cloud connector ingests those events with minimal latency, satisfying the near real-time requirement.

Answer

Ingestion API with manual hourly triggers

Answer

Google Cloud Storage bucket integration

Answer

Marketing Cloud Connect batch sync

Question 6

A marketer wants to use Data Cloud audience segments directly inside Marketing Cloud Engagement journeys. Which feature enables this integration?

Accepted Answer

Activation Target and Activation. Activation Target and Activation are the Data Cloud features that publish segment members and attributes to Marketing Cloud Engagement. The Activation Target defines the Marketing Cloud Business Unit and Data Extension destination, and the Activation maps segment attributes to that target and schedules delivery. This is the native, supported path for using Data Cloud segments in Marketing Cloud Engagement journeys.

Answer

Data Cloud REST API polling

Answer

Bulk API extraction into a shared SFTP folder

Answer

Marketing Cloud Connect

Question 7

A Data Cloud Consultant is reviewing storage consumption. They notice that the Identity Resolution ruleset has created a large number of Unified Individuals from disparate source records. Which component consumes the primary processing capacity during identity resolution runs?

Accepted Answer

Identity Resolution ruleset execution (match and reconciliation rules). Identity Resolution ruleset execution is the component that consumes the primary processing capacity during identity resolution runs, because it performs the match and reconciliation operations across all source records to produce Unified Individuals. The more source records and the more complex the match rules, the more compute is required, making the ruleset execution the dominant consumer of processing capacity.

Answer

Data Stream ingestion frequency settings

Answer

Calculated Insights aggregation queries

Answer

Activation publishing jobs to external endpoints

Question 8

An enterprise is evaluating Data Cloud editions and wants to understand what core capabilities are included with the base license. Which feature is universally included across standard Data Cloud implementations?

Accepted Answer

Standard connectors for Salesforce CRM and Marketing Cloud Engagement. Standard connectors for Salesforce CRM and Marketing Cloud Engagement are part of the base Data Cloud license, enabling immediate data ingestion from these core Salesforce sources without additional cost or configuration. These connectors are foundational to Data Cloud's value proposition, allowing organizations to unify CRM and marketing data out of the box. Other options describe premium, custom, or unrealistic capabilities not included universally.

Answer

Custom AI model training using Amazon SageMaker

Answer

Unlimited external API ingestion without throttling

Answer

Real-time mobile SDK generation

Question 9

A support manager using Service Cloud wants agents to view a customer's real-time calculated lifetime value directly on the Case page layout. Which Data Cloud feature should the consultant leverage to display this insight in Service Cloud?

Accepted Answer

Calculated Insights exposed via Lightning Web Components or related lists. Calculated Insights in Data Cloud allow you to define complex metrics (like lifetime value) using SQL-like expressions over harmonized data, and then surface those metrics in Service Cloud via Lightning Web Components or related lists. This is the native, real-time integration pattern for displaying Data Cloud insights on a Case page layout. The other options either involve batch processes, are marketing-specific, or are visualization-only tools that don't provide the direct, actionable data needed on a case record.

Answer

Batch CSV exports attached to the Account record

Answer

Marketing Cloud Engagement Data Extensions

Answer

Tableau Pulse embedded dashboards only

Question 10

An administrator needs to ingest transactional log files from an Amazon S3 bucket into Data Cloud on a recurring schedule. Which setup steps are required to establish this connection?

Accepted Answer

Configure an Amazon S3 Cloud File Storage source connector and create a Data Stream.. To ingest transactional log files from Amazon S3 into Data Cloud on a recurring schedule, the administrator must configure an Amazon S3 Cloud File Storage source connector and then create a Data Stream that references the S3 bucket and file path. This is the standard, supported pattern for file-based ingestion from S3, and the Data Stream can be scheduled to run recurrently.

Answer

Enable Change Data Capture on the S3 bucket properties.

Answer

Write an inbound REST API script to push S3 files row-by-row.

Answer

Set up Marketing Cloud Connect to proxy the S3 files.

Question 11

An administrator has set up identity resolution with match rules based on Email and Phone Number. After running the ruleset, they notice that records with different spelling variations of names were not merged despite sharing the same email. What is the correct way to incorporate name matching into the identity resolution process?

Accepted Answer

Add a fuzzy match rule for Party Identification or Name to the existing Identity Resolution ruleset.. To incorporate name matching, a fuzzy match rule for Party Identification or Name must be added to the identity resolution ruleset. Fuzzy matching handles spelling variations and typos, enabling records with similar names to be considered matches even if exact match rules on email or phone fail.

Answer

Export the data to Tableau, merge the profiles, and re-import via API.

Answer

Modify the Data Model Object primary key to be a composite name key.

Answer

Write an Apex trigger to normalize names prior to data stream ingestion.

Question 12

What is the primary function of the Customer 360 Data Model in Data Cloud?

Accepted Answer

To provide a standardized schema for harmonizing data from disparate sources. The primary function of the Customer 360 Data Model in Data Cloud is to provide a standardized schema for harmonizing data from disparate sources. It defines a common set of objects and relationships (e.g., Individual, Contact Point, Party) that allow data from different systems to be mapped and unified into a single customer view.

Answer

To store raw, untransformed JSON payloads indefinitely

Answer

To replace the standard Salesforce CRM database schema

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To execute automated Apex business logic on streaming data

Question 13

A Data Cloud Consultant is configuring real-time data ingestion using the Ingestion API. Which artifact must be created and published in Data Cloud before sending payload data from an external web application?

Accepted Answer

An Inbound Streaming Data Source and associated Data Stream schema. The Ingestion API requires a pre-configured Inbound Streaming Data Source and its associated Data Stream schema to define the endpoint and structure for incoming real-time payloads. This artifact acts as the contract that validates and maps the JSON data sent from the external web application into Data Cloud. Without it, the API has no target schema or connection point to accept the data.

Answer

A Salesforce CRM Custom Object with Change Data Capture enabled

Answer

A standard Marketing Cloud Data Extension

Answer

A Tableau Hyper file upload definition

Question 14

A financial services company is using Data Cloud and must ensure that data from specific high-net-worth accounts cannot be accessed or queried by users in standard regional business units, even within Calculated Insights. Which Data Cloud feature provides the necessary access control granularity?

Accepted Answer

Data Spaces combined with Data Space-aware permission sets. Data Spaces provide logical partitioning of Data Cloud data so that users in one business unit cannot see or query data belonging to another, and Data Space-aware permission sets grant access only to the data spaces a user is entitled to. This combination delivers the granular access control needed to isolate high-net-worth account data from standard regional business units, including within Calculated Insights, because queries execute within the user's data space context.

Answer

Role-Hierarchy Sharing Rules

Answer

Field-Level Security profiles on the Individual DMO

Answer

Manual sharing via public groups

Question 15

A marketing team wants to target customers who have made a purchase in the last 30 days but have not opened an email in the last 7 days. Where should the marketer build this audience criteria?

Accepted Answer

Data Cloud Segmentation canvas. Audience segments in Data Cloud are created in the Segmentation canvas using harmonized data model objects and attribute operators.

Answer

Sales Cloud Report Builder with joined reports

Answer

Calculated Insights SQL editor

Answer

Marketing Cloud Engagement Journey Builder decision splits only