Data 360 Consultant Practice Test 21 — 15 Questions

Question 1

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.)

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

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 2

Which TWO items are part of the core Data Cloud architecture?

Accepted Answer

Data Model Objects (DMOs). Data Model Objects (DMOs) are correct because they are the foundational, harmonized data structures in Data Cloud that map and unify data from multiple sources into a single customer profile model. Data Streams are correct because they are the ingestion mechanism that brings raw data from sources like Salesforce objects, cloud storage, or external systems into Data Cloud for mapping to DMOs. Together, Data Streams and DMOs form the core ingestion-and-modeling layer of the Data Cloud architecture. Einstein GPT, Experience Cloud Sites, and Salesforce Flow Builder are separate Salesforce platform capabilities used for AI content generation, web experiences, and automation respectively, not core Data Cloud architectural components.

Answer

Einstein GPT

Answer

Experience Cloud Sites

Answer

Salesforce Flow Builder

Question 3

Which administrative task is performed in the Data Manager area of Data Cloud?

Accepted Answer

Managing data streams, data model mappings, and identity resolution rulesets.. Data Manager is the central workspace for managing data streams, data model mappings, identity resolution, and calculated insights.

Answer

Configuring OAuth connected apps for external API integrations.

Answer

Assigning permission set licenses to new users.

Answer

Provisioning the initial Data Cloud tenant instance.

Question 4

Which TWO actions should a consultant take when preparing to delete a segment that is no longer needed? (Choose two.)

Accepted Answer

Check for and remove any associated active activations that rely on the segment.. Option A is correct because an active activation that references the segment will continue to publish audiences to its destination, so the consultant must first locate and remove or deactivate those activations to avoid broken activation jobs and orphaned audience data. Option C is correct because segments often feed downstream processes such as Data Cloud data streams, flows, or external reporting tools, and deleting the segment without verifying those dependencies would break those consumers and cause data gaps. Options B, D, and E do not belong: rebooting Salesforce CRM servers is irrelevant to segment lifecycle management, converting a segment to a Calculated Insight is not a prerequisite for deletion, and exporting a segment schema via Apex Data Loader is not a required or standard step before deleting a segment.

Answer

Reboot all Salesforce CRM servers.

Answer

Convert the segment into a Calculated Insight prior to deletion.

Answer

Export the segment schema to a local CSV file using Apex Data Loader.

Question 5

A Data Cloud Consultant is troubleshooting a scheduled batch activation to an Amazon S3 activation target. The activation job completes with partial success, and some records are missing from the destination file. Where should the consultant check to diagnose the root cause of the export failure?

Accepted Answer

Review the Activation History and related run details in the Data Cloud Setup UI for specific error logs and record-level failures.. Data Cloud provides monitoring tools such as the Activation History and History logs within the platform setup to view execution status, error messages, and metrics on exported records.

Answer

Review the Apex Job Queue for batch processing failures.

Answer

Examine the Streaming Ingestion monitor in Data Cloud.

Answer

Check the Setup Audit Trail in the core Salesforce CRM org.

Question 6

Which THREE best practices should a consultant follow when configuring streaming ingestion via the Ingestion API? (Choose THREE)

Accepted Answer

Implement exponential backoff and retry logic in client applications to handle rate-limiting.. Best practices for the Ingestion API include defining strict JSON schema contracts, implementing exponential backoff retry logic for 429 errors, and sending payloads with unique primary keys.

Answer

Store authentication tokens permanently in client-side JavaScript code.

Answer

Write Apex triggers to process incoming API payloads on the Salesforce CRM platform.

Question 7

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.)

Accepted Answer

Valid OAuth 2.0 authentication token generated via connected app. Option A is correct because the Ingestion API requires OAuth 2.0 authentication, and the token must be generated through a connected app configured with the appropriate scopes for Data Cloud ingestion. Option C is correct because requests must be sent to the correct regional endpoint URL for the specific Data Cloud instance; using the wrong region or endpoint will cause the API call to fail. Option D is correct because the JSON payload must conform to the schema defined for the target Data Stream and its underlying Data Lake Object (DLO), including required fields and correct data types, or ingestion will be rejected. Option B is incorrect because manual CSV upload via CRM Data Loader is a batch/file-based ingestion method, not real-time Ingestion API usage. Option E is incorrect because installing a managed package on customer mobile devices is unrelated to server-side API ingestion into Data Cloud.

Answer

Manual CSV file upload via the CRM Data Loader

Answer

Installation of a managed package on all customer mobile devices

Question 8

A consultant is configuring an activation to Meta (Facebook) Ads. The activation fails because matching criteria require hashed email addresses. How should the consultant resolve this?

Accepted Answer

Ensure the activation mapping utilizes supported identifier fields (such as hashed emails) or leverage transformation features required by the destination platform.. The correct answer is to ensure the activation mapping utilizes supported identifier fields (such as hashed emails) or leverage transformation features required by the destination platform. Meta Ads requires hashed email addresses for matching, so the activation must map the correct field and apply hashing if necessary. This resolves the failure by meeting Meta's requirements.

Answer

Create a static CSV file and upload it manually via Email Studio.

Answer

Delete all Identity Resolution rules so raw unhashed emails are transmitted.

Answer

Convert the segment into a streaming segment to bypass Meta's validation requirements.

Question 9

An administrator needs to modify the primary key of a custom Data Model Object (DMO) that already has active data streams mapped to it. What must the administrator do first?

Accepted Answer

Delete all data stream mappings connected to the DMO before modifying the primary key.. Data Model Objects with active mappings or data flowing into them cannot have their primary keys or core schema structures modified without first removing the dependencies or mappings.

Answer

Export the DMO schema as XML, edit the primary key tag, and re-import.

Answer

Disable the Data Space associated with the DMO temporarily.

Answer

Switch the DMO type from Custom to Standard in Object Manager.

Question 10

A consultant needs to design a Calculated Insight that evaluates customer churn risk based on purchase frequency and support ticket volume. Which THREE best practices should the consultant apply? Choose 3 options.

Accepted Answer

Leverage incremental processing considerations when writing complex queries to maintain performance.. Option B is correct because Calculated Insights in Data Cloud process large volumes of data, so writing complex queries with incremental processing in mind (avoiding full recomputes and unnecessary joins) preserves performance and keeps refresh times acceptable. Option C is correct because the churn-risk calculation must combine purchase frequency and support ticket volume, which requires well-defined entity relationships and foreign keys between the purchase and support DMOs so the query can correctly correlate records per customer. Option E is correct because ANSI SQL aggregate functions such as COUNT, SUM, and MAX are the standard way to compute metrics like purchase frequency and ticket volume within the Calculated Insight's SQL definition. Option A is not appropriate because streaming updates every second is unnecessary and would create excessive processing overhead for a churn-risk metric that does not need real-time granularity. Option D is not appropriate because Calculated Insights results are typically surfaced through profile objects or data model objects before activation, and mapping directly to an Activation Target bypasses the required data model and identity resolution steps.

Answer

Configure the Calculated Insight to stream data updates every second.

Answer

Map the Calculated Insight directly to an Activation Target without using profile objects.

Question 11

When designing Calculated Insights that involve date/time functions, which THREE practices ensure accurate metric generation in Data Cloud? (Choose three.)

Accepted Answer

Referencing valid timestamp attributes from the mapped DMOs.. Option A is correct because Calculated Insights are built on the Data Cloud semantic layer, so date/time functions must reference valid timestamp or date attributes from mapped DMOs (Data Model Objects) to resolve properly and produce accurate metrics. Option B is correct because Data Cloud stores and processes timestamps in UTC, so when events originate from multiple global regions you must account for timezone offsets (e.g., using timezone conversion functions) to avoid misattributing events to the wrong day or period. Option E is correct because Calculated Insights use Data Cloud's SQL-based expression engine, which supports standard ANSI SQL date and timestamp functions (such as CURRENT_DATE, DATE_ADD, and EXTRACT), ensuring portable and platform-supported metric logic. Option C is not correct because Calculated Insights do not allow custom Java classes; leap-year handling is already provided by the platform's built-in date functions. Option D is not correct because hardcoding dates to January 1st would produce meaningless, non-dynamic metrics rather than accurate time-based calculations.

Answer

Writing custom Java classes to handle leap years.

Answer

Hardcoding all dates to January 1st of the current year.

Question 12

Which TWO statements are true regarding Activation Membership rules in Data Cloud? (Choose two.)

Accepted Answer

Members can be added or removed dynamically based on segment evaluation during publish cycles.. Option C is correct because Activation Membership is recalculated dynamically each time a segment is published, so individual members are added or removed automatically as segment evaluation results change during publish cycles. Option E is correct because activation membership can be enriched with related profile attributes drawn from connected DMOs, allowing related data to be included in the activation payload rather than only the primary profile's fields. Option A is wrong because memberships are not permanent; members are removed when they no longer qualify for the segment on a subsequent publish. Option B is wrong because Identity Resolution determines the unified profile and its linked identities, while activation membership operates on top of that resolved data and does not override Identity Resolution rules. Option D is wrong because activation membership is populated through segment publishing and Data Cloud's automated processes, not through manual CSV uploads on every refresh.

Answer

Memberships once added can never be removed from an activation target.

Answer

Activation membership overrides Identity Resolution rules.

Answer

Activation membership requires manual CSV uploads for every refresh.

Question 13

An administrator needs to partition data and restrict visibility between different regions in Data Cloud. Which TWO features or configuration steps should be used? (Choose two.)

Accepted Answer

Data Spaces. Data Spaces and permission sets are the core tools used to partition data and restrict visibility in Data Cloud.

Answer

Global Organization-Wide Defaults (OWD) set to Private

Answer

Enterprise Business Unit mapping tables in Marketing Cloud Engagement

Answer

Core Salesforce Sharing Rules and Territory Management hierarchies

Question 14

An enterprise is ingesting web tracking events via the Interaction SDK. Some event payloads contain nested arrays of product interactions. During mapping, the consultant needs to ensure these nested items are correctly associated with the parent event DMO. How is this handled?

Accepted Answer

Map the nested array to a related child DMO using the parent event primary key as the foreign key.. Nested arrays in streaming or batch ingestion are mapped to related child DMOs using defined foreign key relationships between the parent event and child item DMOs.

Answer

Write a Calculated Insight to unpack the array after ingestion.

Answer

Discard nested arrays because Data Cloud only supports flat tabular data structures.

Answer

Flatten the array into a comma-separated string inside a single text field.

Question 15

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.