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As a major Salesforce exam recognized by most companies, the Salesforce Marketing Cloud Intelligence Accredited Professional deserves real preparation. VCE4Dumps delivers 64 practice questions for the Marketing-Cloud-Intelligence exam in 2026.
Salesforce Marketing-Cloud-Intelligence Exam Overview:
| Certification Vendor: | Salesforce |
|---|---|
| Exam Name: | Salesforce Marketing Cloud Intelligence Accredited Professional Exam |
| Exam Number: | Marketing-Cloud-Intelligence (AP-215) |
| Exam Format: | Multiple-select, Multiple-choice, Scenario-based |
| Exam Price: | USD $150 (+ applicable taxes) |
| Related Certifications: | Salesforce Accredited Professional |
| Passing Score: | 60% |
| Certificate Validity Period: | 2 years |
| Available Languages: | English |
| Real Exam Qty: | 40 |
| Exam Duration: | 90 minutes |
| Recommended Training: | Salesforce Trailhead - Marketing Cloud Intelligence |
| Exam Registration: | Salesforce Certification Registration |
| Sample Questions: |  |
| Exam Way: | Proctored, computer-based; available onsite at testing centers or online proctored |
| Pre Condition: | No mandatory prerequisites; recommended experience with Marketing Cloud Intelligence or marketing analytics |
| Official Syllabus URL: | https://trailhead.salesforce.com/credentials/marketing-cloud-intelligence |
Salesforce Marketing-Cloud-Intelligence Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Calculated Dimensions & Measurements | 7% | - Creating and managing calculated fields - Aggregation types and formula logic |
| Topic 2: Harmonization Center | 13% | - Patterns and harmonized dimensions - Data classification and validation rules |
| Topic 3: Data Integration Code Ability | 12% | - Scripting and transformation logic - Data ingestion methods and sources |
| Topic 4: Design Feasibility | 5% | - Valid vs invalid implementation approaches - Solution design evaluation |
| Topic 5: CRM Integration | 12% | - Sync and data flow between systems - CRM data properties and behavior |
| Topic 6: General Functionalities | 13% | - Navigation and interface components - Core platform features and capabilities |
| Topic 7: Data Model | 8% | - Data categorization and key definitions - Entities, relationships and attributes |
| Topic 8: QA & Validation | 9% | - Error handling and troubleshooting - Data quality checks and validation processes |
| Topic 9: Mapping | 5% | - Source-to-target mapping rules - Field mapping and data alignment |
| Topic 10: Harmonization Best Practices | 3% | - Pros and cons of different approaches - Standardization methods and strategies |
| Topic 11: Vlookup Functions | 5% | - Vlookup syntax and usage - Data lookup and reference logic |
| Topic 12: Data Update Permissions | 5% | - Access control and permission settings - Data refresh and update configurations |
| Topic 13: Overarching Entities | 3% | - Cross-domain data structures - Global data definitions |
Marketing-Cloud-Intelligence Exam FAQ — Professional Answers
Book through the vendor's official registration channels:
The Salesforce Marketing Cloud Intelligence Accredited Professional is delivered Proctored, computer-based; available onsite at testing centers or online proctored, so pick the arrangement that fits your schedule.
Yes — download the free trial of the Salesforce Marketing Cloud Intelligence Accredited Professional material before you buy. Members then enjoy free updating for 365 days, with new versions emailed promptly; renew afterward at 50% off.
The Salesforce Marketing Cloud Intelligence Accredited Professional is Salesforce's certification exam for Marketing Cloud Intelligence Accredited Professional, at the Professional level. As a major exam recognized by most companies, it proves your IT ability to employers — including the big international ones. Related credentials include Salesforce Accredited Professional.
The Salesforce Marketing Cloud Intelligence Accredited Professional blueprint covers 13 domains — including Overarching Entities (3%), Data Integration Code Ability (12%), Data Model (8%). Pay attention to the key points where weightings concentrate; the full outline above lists every subtopic.
USD $150 (+ applicable taxes) per attempt, 60% to pass. Half the effort works only with the right focus — rehearse with the 64 practice questions for the Marketing-Cloud-Intelligence exam at VCE4Dumps before booking.
No mandatory prerequisites; recommended experience with Marketing Cloud Intelligence or marketing analytics Eligibility rules are updated periodically, so verify the current requirements on the official page (official Marketing-Cloud-Intelligence exam page) before registering.
Files arrive by automatic email within a minute of payment — unlimited devices, and 24/7 customer assisting for any downloading or purchasing problem if nothing shows up within 2 hours. If you get a bad result on the corresponding Marketing-Cloud-Intelligence exam within 60 days of purchase, the money is fully refunded: send a scanned enrollment slip plus the official Score Report PDF within 2 days of the exam, processed within 7 days. Excluded: exams within 3 days of purchase, candidate names that don't match the payer, and free or expired products. You may instead exchange for two equal-value products free.
90 minutes for 40 questions. The online engine simulates the formal test atmosphere — practice anywhere, so the clock feels familiar on the day.
Yes:
Pair any official course with the 64 practice questions for the Salesforce Marketing Cloud Intelligence Accredited Professional — answers expert-verified, suitable for any level of candidate.
Salesforce Marketing Cloud Intelligence Accredited Professional Sample Questions:
What are two potential reasons for performance issues (when loading a dashboard) when using the CRM data stream type?
- A. When a data stream type ''CRM - Leads' is created, another complementary 'CRM - Opportunity' is created automatically.
- B. The data is stored at the workspace level.
- C. No mappable measurements - all measurements are calculated
- D. Pacing - daily rows are being created for every lead and opportunity keys
Correct Answer: C,D 🗳️
A client's data consists of three data sources - Facebook Ads, LinkedIn Ads and Google Campaign Manager.
Notes:
* The client is planning on adding an additional 100 Facebook Ads data streams and 50 more LinkedIn Ads data streams.
* The final volume of data in the workspace will be 5M rows
* Each data source has a naming convention and it can be assumed that any additional profile (i.e. Data Stream) from one of these sources will follow the same naming convention.
The client provided the following sample files:
Facebook Ads:
The client would like to create a new harmonization field named "Market," which will only be coming from Facebook Ads and LinkedIn Ads. The logic for
"Market" is the following:
IF Media Buy Type is equal to "TypeB" or "TypeC" or "TypeD"
Return 'Europe'
ELSE
Return 'Rest Of The World'
In order to create the harmonization field Market, the client considers using either Mapping Formula, Calculated Dimension, VLOOKUP or Patterns.
Considering maintenance and scalability, which option is recommended?
- A. Calculated Dimension
- B. Mapping Formulas
- C. Patterns
- D. vLookuP
Correct Answer: C 🗳️
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After uploading a standard file into Marketing Cloud intelligence via total Connect, you noticed that the number of rows uploaded (to the specific data stream) is NOT equal to the number of rows present in the source file. What are two resource that may cause this gap?
- A. Main entity is not mapped
- B. All mapped Measurements for a given row have values equal to zero
- C. The source file does not contain the media Buy entity
- D. The file does not contain any measurements (dimension only)
Correct Answer: A,B 🗳️
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An implementation engineer is requested to extract the first three-letter segment of the Campaign Name values.
For example:
Campaign Name: AFD@Mulop-1290
Desired outcome: AFD
Other examples:
Which formula will return the desired values?
- A. LEFT(EXTRACT(csv[campaign_name'}/-',1),3)
- B. LEFT(EXTRACT(csy['campaign_name]],~',0),3)
- C. EXTRACT(csv[campaign_name!;@',1)
- D. EXTRACT(EXTRACT(csv['campaign_name]]/@',1),-,0)
- E. EXTRACT(csv[campaign_name'],-,0)
Correct Answer: C 🗳️
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Which three statements describe Overarching Entities? 03m 23s
- A. The values of these entities are stored at the workspace level, rather than the data stream level
- B. Once the data streams in which Custom Classification values were mapped are deleted, their data is deleted.
- C. When needed, these entities can act as a main entity, replacing the original one.
- D. Some overarching entities hold a Many-to-Many relationship with the main entity, and others hold a One-to-Many relationship with it.
- E. These are mappable dimensions that are present in each and every dataset type
Correct Answer: A,C,D 🗳️
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