Data 360 Consultant Practice Test 19 — 15 Questions

Question 1

Which tool provides a visual representation of all data streams, data source objects, data model objects, and their connections in Data Cloud?

Accepted Answer

Data Model Canvas / Data Landscape. The Data Landscape or Data Model visualization canvas provides an end-to-end view of data streams, DSOs, and DMOs.

Answer

Salesforce Optimizer

Answer

Einstein Discovery Dashboard

Answer

Marketing Cloud Journey Builder

Question 2

Which THREE attributes can be leveraged in fuzzy matching rules within Salesforce Data Cloud Identity Resolution? Choose 3 options.

Accepted Answer

Customer Name (First and Last Name). Fuzzy matching rules support attributes such as name, email, and address/postal details.

Answer

Activation Target ID

Answer

Calculated Insight KPI Value

Question 3

What is the primary difference between batch ingestion and streaming ingestion in Data Cloud?

Accepted Answer

Batch ingestion processes data at scheduled intervals, whereas streaming ingestion processes events in near real-time.. Batch ingestion processes data at scheduled intervals in bulk, while streaming ingestion processes records in real-time or near real-time as they arrive.

Answer

Batch ingestion is only used for Salesforce CRM, while streaming is for external systems.

Answer

Batch ingestion supports CSV files, whereas streaming ingestion only supports PDF files.

Answer

Streaming ingestion does not require data mapping, whereas batching does.

Question 4

An enterprise is planning to ingest 500 million transaction records daily from an external data warehouse using cloud storage. To optimize ingestion performance and query speed in Data Cloud, which file format should the consultant recommend for batch export to Amazon S3?

Accepted Answer

Apache Parquet format. Parquet is a columnar storage file format optimized for high-performance analytics, compression, and rapid batch ingestion in big data platforms like Data Cloud.

Answer

SQL dump text files (.sql)

Answer

XML files with nested attributes

Answer

Microsoft Word (.docx) documents

Question 5

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.

Question 6

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.

Question 7

A marketer needs to target high-value customers in Data Cloud whose total lifetime spend calculated via a Calculated Insight exceeds $10,000. The segment needs to be evaluated continuously as transactions stream into the platform. What is the key limitation the consultant must consider when building this segment?

Accepted Answer

Streaming segments do not support criteria based on Calculated Insights.. Streaming segments do not support Calculated Insights as part of their criteria rules; Calculated Insights are typically used in batch or scheduled segments.

Answer

Calculated Insights require manual execution before every segment publish.

Answer

Calculated Insights cannot be referenced in any segment definition in Data Cloud.

Answer

Calculated Insights only refresh once per month, preventing timely segmentation.

Question 8

An administrator is setting up a data stream from a Salesforce CRM org. They want to ensure that only specific objects (Account, Contact, Case) are ingested. Where is this filtering or selection performed?

Accepted Answer

In the Salesforce CRM Data Stream creation wizard object selection step. During the creation wizard of a Salesforce CRM data stream, administrators select the specific objects and fields they wish to include.

Answer

In Marketing Cloud Connect settings

Answer

In Salesforce CRM Setup under Connected Apps

Answer

In the Identity Resolution ruleset configuration

Question 9

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

Accepted Answer

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

Answer

Tableau Server

Answer

Google Analytics

Question 10

A consultant is designing a data model in Salesforce Data Cloud and needs to establish relationships between custom Data Model Objects (DMOs). Which TWO rules apply when creating relationships between DMOs in Data Cloud?

Accepted Answer

Relationships can be established as Many-to-One (N:1) or One-to-One (1:1).. When creating relationships in Data Cloud, relationships can be N:1 or 1:1, and the participating fields must share compatible data types and properties to ensure referential integrity during segmentation and querying.

Answer

Standard DMOs cannot participate in relationships with custom DMOs.

Answer

Relationships between DMOs can only be established using SQL queries in Calculated Insights.

Answer

Many-to-Many (N:N) relationships can be created directly between any two DMOs without a junction object.

Question 11

A marketer wants to include attributes from a related Related Data Object (e.g., Total Lifetime Spend from Orders) in an activation destined for an ad network. How should the consultant configure this?

Accepted Answer

Include the attributes as Additional Attributes (Activation Attributes) within the Activation configuration.. Contact points and additional attributes can be added as activation attributes directly within the Activation creation wizard, drawing from related DMOs linked to the Unified Individual.

Answer

Create a new Segment for every possible spending bracket.

Answer

Export the raw data via Data Share and write a custom script on the ad network side.

Answer

Write a custom Apex trigger on the Unified Individual object to push attributes to the ad network API.

Question 12

What role do Activation Mappings play in Data Cloud?

Accepted Answer

They map Data Cloud profile and attribute fields to the corresponding fields expected by the activation target.. Activation Mappings define how attributes from the Unified Profile and related DMOs map to the fields required by the external activation target schema.

Answer

They map machine learning model predictions to Einstein Studio endpoints.

Answer

They map raw source data streams to the Customer 360 Data Model.

Answer

They map user permissions to specific Salesforce CRM roles.

Question 13

A Data Cloud Consultant needs to configure an Activation Target for Marketing Cloud Engagement. Which permission or credential type is required to authenticate the connection between Data Cloud and Marketing Cloud Engagement?

Accepted Answer

An installed package utilizing OAuth 2.0 client credentials with API integrations enabled.. Activation targets for Marketing Cloud Engagement in Data Cloud are authenticated via an installed package that uses OAuth 2.0 client credentials with API integrations enabled. This package is installed in the Marketing Cloud Engagement account and provides the client ID and secret that Data Cloud uses to obtain access tokens for the REST/SOAP APIs. This is the documented, supported authentication mechanism for the Marketing Cloud Engagement activation target.

Answer

A Connected App with a JSON Web Token (JWT) Bearer Flow configured in Salesforce Setup.

Answer

A Data Share certificate and private key uploaded via the Security Certificates menu in Data Cloud.

Answer

A username, security token, and managed package license assigned to a dedicated integration user.

Question 14

A consultant is setting up a streaming data stream using the Ingestion API. The API returns an HTTP 400 Bad Request error. What is the most likely cause of this error?

Accepted Answer

The incoming JSON payload structure violates the defined schema contract or contains invalid JSON syntax.. An HTTP 400 Bad Request from the Ingestion API typically indicates that the incoming payload does not match the defined schema structure or contains malformed JSON.

Answer

The Connected App authentication token has expired and needs to be refreshed.

Answer

The Salesforce Data Cloud org has exceeded its total storage limit.

Answer

The Identity Resolution ruleset is currently locked during a batch run.

Question 15

An administrator is troubleshooting an Ingestion API stream where payloads are being rejected with a schema validation error. Where can the administrator inspect the expected schema definition required by the Ingestion API?

Accepted Answer

Data Cloud Setup > Ingestion API > select connection / stream bundle to view schema and endpoint details.. The Ingestion API schema is defined per connection/stream bundle, and Data Cloud Setup exposes it under the Ingestion API section where the administrator selects the specific connection or stream bundle to view the expected schema and endpoint details. This is the authoritative location because each stream bundle carries its own schema contract that the API enforces at ingest time. Inspecting it there lets the admin compare the rejected payload against the exact field names, types, and required attributes the endpoint expects.

Answer

Setup > Apex Classes > IngestionAPIController > Schema

Answer

Data Cloud Setup > Data Spaces > API Management > Schema Explorer

Answer

Setup > Integration > API Schemas > Salesforce Data Cloud