CCNA Data Cloud Overview Questions — Page 2 of 2

Multi-Selectmedium

Which THREE features are available within the Data Cloud Segment Builder?

Select 3 answers

A.Cross-database SQL join queries

B.Applying filters based on engagement history

C.Triggering real-time email sends

D.Including related profile attributes

E.Filtering based on calculated insight values

AnswersB, D, E

Engagement data is a core component of segmentation.

Why this answer

The Segment Builder allows for filtering by profile attributes, calculated insights, and engagement data.

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Multi-Selecthard

Which THREE types of activation targets are natively supported in Data Cloud?

Select 3 answers

A.Tableau Server

B.Amazon S3

C.Google Analytics

D.Salesforce CRM

E.Marketing Cloud

AnswersB, D, E

S3 is a standard file-based activation target.

Why this answer

Data Cloud supports activations to Marketing Cloud, Amazon S3, and various CRM platforms natively.

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MCQhard

An administrator needs to monitor the execution history and status of batch data streams and data refreshes in Data Cloud. Which interface provides this operational visibility?

A.Data Streams Monitor / Refresh History in Data Cloud Setup

B.Process Automation Monitor

C.Scheduled Jobs in CRM

D.Salesforce Setup Audit Trail

AnswerA

The Data Streams tab in Data Cloud Setup provides detailed execution status, row counts, and error logs for every ingestion run.

Why this answer

The Data Cloud setup interface includes monitoring tabs for data streams, activation history, and ingestion runs to troubleshoot failures.

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MCQhard

An enterprise customer has deployed Data Cloud and is utilizing Marketing Cloud Engagement as an activation target. The marketing team notices that serialized custom attributes from a Data Cloud Calculated Insight are not appearing in Marketing Cloud Engagement Data Extensions. Upon troubleshooting, the consultant finds that the Calculated Insight is scheduled correctly. What is the most likely root cause?

A.Marketing Cloud Engagement requires Real-Time Data Graph activation for all Calculated Insights.

B.The Calculated Insight output has not been mapped to an Activation-enabled Data Model Object.

C.Calculated Insights cannot be exported to Marketing Cloud Engagement due to API limits.

D.Activation targets only support streaming data streams, not batch-based Calculated Insights.

AnswerB

For attributes from Calculated Insights to be available in activation targets, they must flow into an activation-enabled DMO.

Why this answer

Calculated Insights must be published to a Data Lake Object (DLO) or Data Model Object (DMO) that supports activation before they can be leveraged in activation targets like Marketing Cloud Engagement.

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Multi-Selectmedium

A Data Cloud Consultant is configuring real-time data ingestion using the Ingestion API. Which THREE technical requirements must be met to ensure successful API ingestion? (Choose three.)

Select 3 answers

A.Valid OAuth 2.0 authentication token generated via connected app

B.Manual CSV file upload via the CRM Data Loader

C.Correct regional endpoint URL for the Data Cloud instance

D.Payload structured to match the expected schema of the target Data Stream / DLO

E.Installation of a managed package on all customer mobile devices

AnswersA, C, D

API requests must authenticate using OAuth 2.0 tokens.

Why this answer

Ingesting data via the Ingestion API requires proper authentication (OAuth), adherence to payload schema definitions, and correct endpoint URLs.

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MCQmedium

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?

A.Sales Cloud Report Builder with joined reports

B.Data Cloud Segmentation canvas

C.Calculated Insights SQL editor

D.Marketing Cloud Engagement Journey Builder decision splits only

AnswerB

The Segmentation canvas allows users to build cross-channel audience segments using unified data.

Why this answer

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

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Multi-Selectmedium

Which TWO statements accurately describe the role and function of Calculated Insights in Data Cloud? (Choose two.)

Select 2 answers

A.They are used exclusively for raw data stream parsing before data mapping.

B.They can be utilized as attributes during audience segmentation.

C.They enable the creation of aggregated metrics and KPIs across unified profiles using SQL or builder interfaces.

D.They automatically update source systems in Salesforce CRM via real-time webhooks.

E.They replace the need for Identity Resolution rulesets entirely.

AnswersB, C

Calculated Insight metrics are exposed as attributes in the segmentation canvas.

Why this answer

Calculated Insights allow users to aggregate metrics using SQL or a builder, and these metrics become available as attributes in segmentation.

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MCQeasy

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?

A.Activation Targets

B.Data Streams

C.Data Spaces

D.Calculated Insights

AnswerB

Data Streams are the mechanism for ingesting data from connected sources into Data Cloud.

Why this answer

Data Streams are the foundational components used to ingest data from various sources into Data Cloud, where it can then be mapped to the Customer 360 Data Model.

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MCQhard

An enterprise customer using Data Cloud wants to calculate the total lifetime value (LTV) of a customer using a complex SQL query that joins multiple Data Model Objects (Individual, Order__c, and Invoice__c). Which feature should the consultant use to build this metric?

A.Identity Resolution Ruleset

B.Data Model Mapping

C.Calculated Insights

D.Segmentation Builder

AnswerC

Calculated Insights allow consultants to write ANSI SQL queries to calculate metrics like LTV across related data objects.

Why this answer

Calculated Insights use ANSI SQL to compute metrics, KPIs, and aggregates across multiple DMOs and DLOs within Data Cloud.

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MCQmedium

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?

A.A Salesforce CRM Custom Object with Change Data Capture enabled

B.An Inbound Streaming Data Source and associated Data Stream schema

C.A standard Marketing Cloud Data Extension

D.A Tableau Hyper file upload definition

AnswerB

The Inbound Streaming Data Source and Data Stream must be defined to establish the expected schema payload for the Ingestion API.

Why this answer

To use the Ingestion API, an administrator must define a mobile or web app source schema and create a connector object (Inbound Streaming Data Source).

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MCQmedium

During the data harmonization phase in Salesforce Data Cloud, a consultant notices that incoming contact records from Sales Cloud and Commerce Cloud use different field names for email addresses. Where should the consultant map these disparate source fields to a unified enterprise data model field?

A.Identity Resolution Ruleset configuration

B.Data Stream Field Mapping canvas

C.Calculated Insights SQL editor

D.Activation Target configuration panel

AnswerB

The Data Stream Field Mapping canvas allows the mapping of source fields from the Data Lake Object (DLO) to standard or custom Data Model Objects (DMOs).

Why this answer

Data Streams map incoming source fields to the Data Model Object (DMO) fields during the Data Stream mapping phase in the Data Cloud setup interface.

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MCQeasy

Which of the following describes the 'Cloud Information Model' (CIM) in Data Cloud?

A.A standard object framework for data mapping

B.A marketing automation tool

C.A tool for generating reports

D.An open-source database

AnswerA

It provides the structure for data ingestion and mapping.

Why this answer

The CIM is the standardized object schema that allows Data Cloud to interpret and relate data from various sources consistently.

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MCQmedium

A Data Cloud Consultant is designing an integration where external clickstream events must be ingested into Data Cloud with sub-second latency. Which ingestion method is architecturally designed for this use case?

A.Amazon S3 Batch Connector

B.Salesforce CRM Standard Connector

C.Scheduled CSV Data Import wizard

D.Data Cloud Ingestion API

AnswerD

The Ingestion API is designed for real-time streaming ingestion of event data from external systems.

Why this answer

The Ingestion API allows developers to stream event data into Data Cloud in real time with low latency.

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