SALESFORCE CERTIFICATION
Marketing Cloud Intelligence Accredited Professional Practice Exam
Exam Number: 3768 | Last updated 14-Apr-26 | 2031+ questions across 6 vendor-aligned objectives
The Marketing Cloud Intelligence Accredited Professional exam validates your ability to implement Salesforce Marketing Cloud Intelligence (formerly Datorama) for marketing analytics, cross-channel reporting, and ROI measurement. It covers data integration from marketing platforms, dashboard design for CMO-level reporting, and the harmonization models that normalize data from dozens of disparate marketing sources into a single view.
The Data Integration and Harmonization domain weighs in at 30%, covering connectors, field mapping, data streams, and normalization. With 25% of the exam, Dashboard Design demands serious preparation, covering visualization widgets, cross-channel KPIs, and executive reporting. Questions on ai and insights make up 15% of the test, covering Einstein Marketing Insights, anomaly detection, and recommendations. Together, these domains form the backbone of the certification and warrant the bulk of your preparation time.
Several supporting domains complete the exam outline. Expect about 15% of exam content to cover Attribution and ROI, which spans attribution models, cost analysis, and marketing efficiency metrics. Administration commands 15% of the blueprint, which spans user management, data refresh scheduling, and workspace configuration. While narrower in scope, questions in these domains test applied judgment that crosses objective boundaries.
Every answer links to the source. Each explanation below includes a hyperlink to the exact Salesforce documentation page the question was derived from. PowerKram is the only practice platform with source-verified explanations. Learn about our methodology →
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Question #1 - Wire up and maintain connectors, field mapping, and data streams to keep data flowing reliably between Salesforce and external systems with minimal latency
A marketing operations team wants to bring together campaign performance data from Google Ads, Facebook, email marketing, and their website analytics into a single unified view.
What Marketing Cloud Intelligence capability should be configured?
A) Export data from each platform into spreadsheets and combine manually
B) Build a custom data warehouse to combine all sources
C) Configure Marketing Cloud Intelligence connectors for each advertising platform and analytics source, map fields to a harmonized data model, and create cross-channel dashboards that display unified KPIs
D) Use only Salesforce CRM data for marketing analytics
Show solution
Correct answers: C – Explanation:
Marketing Cloud Intelligence (formerly Datorama) provides pre-built connectors for advertising, email, and analytics platforms. Field mapping harmonizes disparate naming conventions. Cross-channel dashboards provide unified performance views. Source: Trailhead: MC Intelligence
Question #2 - Build and polish visualization widgets, cross-channel KPIs, and executive reporting to deliver intuitive, responsive interfaces that drive user adoption and productivity
A CMO wants a dashboard showing marketing ROI across all channels with the ability to drill down from overall spend to individual campaign performance.
What dashboard design should be built in Marketing Cloud Intelligence?
A) Separate dashboards per channel with no connection
B) A static monthly PDF report
C) A single number showing total ROI
D) A hierarchical dashboard with executive-level KPIs (total spend, revenue, ROI, ROAS) at the top, channel-level breakdown in the middle, and individual campaign performance details accessible via drill-down interactions
Show solution
Correct answers: D – Explanation:
Hierarchical dashboards with drill-down provide progressive detail: executives see the big picture, channel managers see their performance, and analysts drill into campaign-level details. Source: Trailhead: CRM Analytics Dashboards
Question #3 - Wire up and maintain connectors, field mapping, and data streams to keep data flowing reliably between Salesforce and external systems with minimal latency
A marketing analyst discovers that campaign data from different sources uses different naming conventions — Google Ads calls it ‘Campaign Name’ while Facebook calls it ‘Campaign Title’.
How should this be resolved in Marketing Cloud Intelligence?
A) Configure field mapping and data harmonization rules in Marketing Cloud Intelligence that normalize different naming conventions into a unified taxonomy, enabling cross-platform comparison
B) Create separate dashboards for each platform’s naming convention
C) Ignore the naming differences and report on each platform separately
D) Rename the fields in the source platforms
Show solution
Correct answers: A – Explanation:
Data harmonization maps different field names from various sources to a unified data model. This enables apples-to-apples comparison across platforms regardless of their native naming conventions. Source: Trailhead: CRM Analytics Data Integration
Question #4 - Handle and manage Einstein Marketing Insights, anomaly detection, and recommendations to deliver reliable platform solutions that meet real-world business demands
A marketing team wants to use Einstein insights in Marketing Cloud Intelligence to automatically identify underperforming campaigns and suggest budget reallocation.
What should the professional configure?
A) Manual campaign review every Friday
B) Hire a data scientist to build custom models
C) Enable Einstein features within Marketing Cloud Intelligence that analyze campaign performance patterns, identify anomalies and underperforming campaigns, and provide AI-driven recommendations for budget optimization
D) Use a random budget allocation approach
Show solution
Correct answers: C – Explanation:
Einstein in Marketing Cloud Intelligence provides automated performance analysis, anomaly detection, and optimization recommendations based on historical patterns and current performance. Source: Trailhead: Einstein Discovery
Question #5 - Implement and maintain attribution models, cost analysis, and marketing efficiency metrics to deliver reliable platform solutions that meet real-world business demands
A marketing ops team needs to track attribution across online and offline touchpoints, including digital ads, email, events, and direct mail.
What attribution capability should be configured?
A) Configure Marketing Cloud Intelligence’s multi-touch attribution models that combine digital tracking data with offline touchpoint imports (event attendance, direct mail response) for a complete attribution picture
B) Use first-click attribution for all channels
C) Track only digital touchpoints since offline cannot be measured
D) Estimate offline impact using industry averages
Show solution
Correct answers: A – Explanation:
Multi-touch attribution in Marketing Cloud Intelligence combines digital tracking with imported offline data to provide complete attribution across all marketing touchpoints. Source: Trailhead: Reports & Dashboards
Question #6 - Establish and manage user management, data refresh scheduling, and workspace configuration to support daily platform operations and evolving business requirements
A brand manager wants to compare current campaign performance against the same period last year to identify trends.
What Marketing Cloud Intelligence feature enables this?
A) Mental note of last year’s approximate numbers
B) Only look at cumulative totals without time comparison
C) A separate spreadsheet with last year’s data open side-by-side
D) Configure period-over-period comparison widgets in the dashboard that display current metrics alongside historical benchmarks, with trend calculations showing year-over-year change percentages
Show solution
Correct answers: D – Explanation:
Period-over-period comparisons display current and historical data side-by-side with calculated change percentages, enabling trend analysis and performance benchmarking. Source: Trailhead: MC Data Management
Question #7 - Establish and manage user management, data refresh scheduling, and workspace configuration to support daily platform operations and evolving business requirements
A data engineer needs to automate the daily refresh of marketing data from 15 different sources into Marketing Cloud Intelligence.
What data pipeline configuration should be set up?
A) Manual daily uploads from each platform
B) Weekly manual data exports compiled in Excel
C) A single annual data import at year-end
D) Configure automated data streams with scheduled connectors for each source, define refresh frequencies based on data availability, set up error alerting for failed refreshes, and monitor data freshness across all streams
Show solution
Correct answers: D – Explanation:
Automated data streams with scheduled connectors eliminate manual data handling. Error alerting ensures data freshness issues are caught immediately. Source: Trailhead: MC Engagement
Question #8 - Wire up and maintain connectors, field mapping, and data streams to keep data flowing reliably between Salesforce and external systems with minimal latency
A marketing team wants to ensure data governance in Marketing Cloud Intelligence — controlling who can see which data and who can modify dashboards.
What governance controls should be configured?
A) Let each team member create their own version of every dashboard
B) Configure role-based access controls with viewer, editor, and admin roles; restrict sensitive data (spend, revenue) to authorized users; and implement dashboard certification for approved views
C) Give everyone full admin access for transparency
D) No access controls since marketing data is not sensitive
Show solution
Correct answers: B – Explanation:
Role-based access controls ensure appropriate data visibility. Dashboard certification distinguishes approved views from personal exploration. Data sensitivity varies and should be governed accordingly. Source: Trailhead: Data Modeling
Question #9 - Wire up and maintain connectors, field mapping, and data streams to keep data flowing reliably between Salesforce and external systems with minimal latency
A marketing operations team needs to create a custom KPI that calculates ‘Cost per Qualified Lead’ by combining ad spend data from Marketing Cloud Intelligence with lead qualification data from Salesforce CRM.
How should this be implemented?
A) Use an estimated cost per lead based on industry benchmarks
B) Track the KPI in Salesforce only without ad spend data
C) Calculate the KPI in a spreadsheet using data from both systems
D) Configure a cross-system calculated metric in Marketing Cloud Intelligence that combines ad spend data from connected advertising platforms with CRM lead data through the Salesforce connector, computing Cost per Qualified Lead automatically
Show solution
Correct answers: D – Explanation:
Cross-system calculated metrics combine data from multiple sources (advertising spend CRM lead data) into unified KPIs. The Salesforce connector provides CRM data alongside marketing platform data. Source: Salesforce Help: Marketing Cloud Connect
Question #10 - Implement and maintain attribution models, cost analysis, and marketing efficiency metrics to deliver reliable platform solutions that meet real-world business demands
A marketing VP wants a weekly automated report summarizing key performance metrics sent to their email every Monday morning.
What Marketing Cloud Intelligence feature should be configured?
A) Configure automated report delivery (scheduled email reports) that generates a PDF or email summary of the key dashboard metrics and delivers it to the VP’s inbox on a weekly schedule every Monday
B) A team member manually compiles and sends the report each week
C) A calendar reminder for the VP to log into the dashboard
D) A Slack notification with a link to the dashboard
Show solution
Correct answers: A – Explanation:
Automated report delivery schedules dashboard snapshots or metric summaries to stakeholders’ email inboxes. This ensures regular visibility without requiring dashboard logins. Source: Trailhead: Change Management
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Exam mode & learn mode · Score by objective · Updated 14-Apr-26
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What the Accredited Mc Intelligence exam measures
- Wire up and maintain connectors, field mapping, and data streams to keep data flowing reliably between Salesforce and external systems with minimal latency
- Build and polish visualization widgets, cross-channel KPIs, and executive reporting to deliver intuitive, responsive interfaces that drive user adoption and productivity
- Handle and manage Einstein Marketing Insights, anomaly detection, and recommendations to deliver reliable platform solutions that meet real-world business demands
- Implement and maintain attribution models, cost analysis, and marketing efficiency metrics to deliver reliable platform solutions that meet real-world business demands
- Establish and manage user management, data refresh scheduling, and workspace configuration to support daily platform operations and evolving business requirements
How to prepare for this exam
- Review the official exam guide
- Complete the Marketing Cloud Intelligence trail and study the Datorama documentation for data integration
- Build a marketing analytics dashboard that harmonizes data from at least three different marketing platforms
- Support a Marketing Cloud Intelligence deployment at your organization or build proof-of-concept dashboards
- Focus on Data Integration and Dashboard Design — they combine for 55% of the exam
- Use PowerKram’s learn mode for marketing intelligence questions
- Run timed exams in PowerKram’s exam mode
Career paths and salary outlook
Marketing intelligence specialists drive data-informed marketing decisions:
- Marketing Analytics Manager — $95,000–$140,000 per year, building cross-channel marketing dashboards (Glassdoor salary data)
- Marketing Intelligence Consultant — $110,000–$155,000 per year, implementing marketing data platforms (Indeed salary data)
- CMO Analytics Director — $140,000–$190,000 per year, owning marketing measurement and attribution strategy (Glassdoor salary data)
Official resources
Follow the Marketing Cloud Intelligence Learning Path on Trailhead. The official exam guide covers every objective.