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| Section | Weight | Objectives |
|---|---|---|
| Campaign Design, Flow Orchestration & Content | 30% | - Personalized messaging data
|
| Consent | 13% | - Consent record management
|
| Platform Setup & Governance | 13% | - Marketing Cloud Next environment setup
|
| Analytics & Performance Insights | 8% | - Marketing data and insights
|
| Data Modeling, Identity Resolution & Segmentation | 25% | - CRM data ingestion and activation
|
| Agentforce & AI Innovation | 11% | - Marketing agents
|
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NEW QUESTION # 20
Employees at an online retailer want to use AI to gain insights into existing business accounts and identify buyer group members to nurture.
Which Marketing Cloud Next Agent should they deploy?
Answer: B
Explanation:
Account Discovery is the purpose-built Marketing Cloud Next agent for examining existing business accounts and helping marketers identify additional people who may belong to relevant buyer groups.
Salesforce lists several standard actions associated specifically with the Account Discovery agent, including Get Marketing Scores, Get Recent Activities, Summarize Conversations, and Find New Buyer Group Members . Those capabilities directly match this scenario: employees need account-level intelligence and want to discover additional stakeholders who can be nurtured.
Agentforce Employee is a broader employee-facing Agentforce capability rather than the specialized marketing agent designed for account discovery. Segment Creation addresses a different requirement: it translates audience descriptions into Data 360 segmentation criteria. It doesn't primarily analyze business accounts or identify prospective buyer-group participants.
Therefore, Account Discovery is the correct specialized agent. The uploaded master bank also identifies option B. Current Salesforce documentation explicitly includes Find New Buyer Group Members among the Account Discovery agent's standard actions.
Study Guide Reference: Agentforce and AI Innovation # Marketing Agents # Account Discovery and Buyer Group Identification.
NEW QUESTION # 21
A Marketing Cloud Next Consultant observes a spike in Data Services Credits usage in Digital Wallet. The consultant already optimized the number of rows processed by Identity Resolution.
Which other method should the consultant use to reduce credit consumption?
Answer: B
Explanation:
Identity Resolution can be a significant consumer of Data Services Credits because profile-unification jobs process qualifying source records. Salesforce specifically recommends controlling unnecessary identity- resolution execution when configuring or modifying rulesets. One supported optimization is to disable Run jobs automatically while making configuration changes and use Run Now deliberately when processing is actually required. This prevents repeated automatic runs while administrators are iterating on match, reconciliation, or filtering logic.
Salesforce also recommends keeping only one active ruleset when possible to reduce usage costs. Therefore, option B would move in the wrong direction: maintaining multiple active rulesets can increase processing and credit consumption rather than reduce it.
Option C is also inappropriate. Recreating data streams can cause unnecessary data reprocessing and isn't the recommended credit-management technique. Data filtering and sensible scheduling are much more controlled approaches.
Because the question states that row-count optimization has already been performed, controlling automatic identity-resolution jobs is the best additional measure among the available options. The master bank keys A.
Study Guide Reference: Data Modeling, Identity Resolution and Segmentation # Identity Resolution # Data Services Billable Usage Types and cost optimization.
NEW QUESTION # 22
Northern Trail Outfitters wants to create a campaign targeting prospects. However, a marketer discovers that prospect records cannot be added as campaign members.
How should a Marketing Cloud Next Consultant explain this behavior?
Answer: C
Explanation:
Salesforce explicitly lists an important limitation for the Marketing Cloud Next Prospect object: a prospect can't directly be added to a Salesforce Campaign as a Campaign Member. Campaign Member relationships use supported CRM person records, principally Leads and Contacts. Therefore, if the business process requires an actual Campaign Member record, the prospect must first be converted or otherwise represented as a supported Lead or Contact.
This doesn't mean prospects are unusable for marketing. Marketing Cloud Next can ingest and manage prospects, create related Individual records in Data 360, include them in Unified Individual processing, score them, segment them, and nurture them. Salesforce also supports converting qualified prospects into Leads or Contacts when they reach the appropriate stage.
Option B is incorrect because using an Audience Flow doesn't remove the underlying Campaign Member object limitation. Option C is also incorrect; activating the campaign doesn't change the supported record types for Campaign Members.
The uploaded master bank keys A. Salesforce's current Prospect considerations explicitly state that a Prospect can't be added to a campaign as a campaign member.
Study Guide Reference: Data Modeling, Identity Resolution and Segmentation # People Records # Prospects, Leads, Contacts, and Campaign Members.
NEW QUESTION # 23
Northern Trail Outfitters is implementing identity resolution in Data 360 and wants to understand how subsequent runs affect credit consumption.
Which records does Data 360 process during each subsequent identity resolution run?
Answer: A
Explanation:
After the initial Identity Resolution processing, Data 360 uses incremental processing so that unchanged source records don't need to be repeatedly rematched. Salesforce's current Identity Resolution documentation explicitly states that preprocessing identifies records that are new or changed and sends only those records into Identity Resolution.
Salesforce determines whether a record changed by converting source records to hash values and comparing those hashes with the values from previous Identity Resolution runs. Records whose current hash indicates no change can be excluded from unnecessary reprocessing.
This behavior has direct credit-consumption implications. Salesforce explains that preprocessing prevents credits from being consumed by repeatedly running Identity Resolution over records that have already been unified in their current form. Even when a source performs a full refresh, preprocessing can protect unchanged records from unnecessary identity-processing work.
Option A is incomplete because an existing record that has been modified must also be reprocessed. Option B incorrectly assumes that every subsequent run rematches the entire source population.
The uploaded master correctly keys C.
Study Guide Reference: Data Modeling, Identity Resolution and Segmentation # Identity Resolution # Incremental Processing and Credit Consumption.
NEW QUESTION # 24
A car dealership manages both retail consumers (B2C) and business fleet customers (B2B). Customer data for each audience is ingested through separate data streams in a single data space and mapped to the Individual Data Model Object (DMO). The dealership wants to create separate identity resolution rulesets for B2B and B2C customers so that each audience can be unified independently for segmentation and activation.
Which approach should the Marketing Cloud Next Consultant recommend to ensure B2B and B2C customers are processed by separate identity resolution rulesets?
Answer: C
NEW QUESTION # 25
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