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Salesforce Marketing Cloud Intelligence Accredited Professional Exam Sample Questions (Q27-Q32):

NEW QUESTION # 27
An implementation engineer has been asked to perform a QA for a newly created harmonization field, Color, implemented by a client.
The source file that was ingested can be seen below:

The client performed the below standard mapping:

As a final step, the client had created the field 'Color'. As can be seen, it is extracted from the Creative Name (after the '#' sign).
For QA purposes, you have queried a pivot table, with the following fields:
* Media Buy Key
* Media Buy Name
* In View Impressions
The final pivot is presented below:

A. An EXTRACT formula (for Color) was written and mapped to a Creative custom attribute.
B. A calculated dimension was created with the formula: EXTRACT([Creative_Namel, #1)
C. A Harmonized dimension was created via a pattern over the Creative Name.
D. An EXTRACT formula (for Color) was written and mapped to a Media Buy custom attribute.

Answer: A

Explanation:
Given that the 'Color' field is extracted from the 'Creative Name' field and appears to be part of the creative-level data, the most logical method would be to create an EXTRACT formula and map it to a Creative custom attribute. This allows the 'Color' value to be associated directly with each creative entry. In Salesforce Marketing Cloud Intelligence, the EXTRACT formula can be used to parse and segment text strings within a field, and this process is used for harmonizing data by creating new dimensions or attributes based on existing data, which is what's described here. This answer is consistent with Salesforce Marketing Cloud Intelligence features that enable data transformation and harmonization through formulaic mapping, as per the official Salesforce documentation on data harmonization and transformation.

NEW QUESTION # 28
Which Marketing Cloud Intelligence field is considered an attribute and not a "variable"?

A. Campaign Category
B. Device Category
C. Device Browser
D. Geo Location

Answer: B

NEW QUESTION # 29
Animplementation engineer has been provided with the below dataset:

*Note: CPC = Cost per Click
Formula: Cost / Clicks
Which action should an engineer take to successfully integrate CPC?

A. Populate the logic within a custom measurement. No need to change Aggregation.
B. Unmap it, as Datorama will calculate it automatically.
C. Populate the logic within a custom measurement. Set Aggregation to SUM.
D. Populate the logic within a custom measurement. Set Aggregation to AVG.

Answer: A

Explanation:
CPC (Cost per Click) is a calculated metric that should be created using a custom measurement based on the formula provided (Cost / Clicks). This calculation does not require a change in the aggregation setting because it is derived from other base metrics that are already aggregated appropriately. In Salesforce Marketing Cloud Intelligence, custom measurements are used to create new metrics from existing data points, and the system will use the underlying data's aggregation to perform the calculation. References: Salesforce Marketing Cloud Intelligence documentation on creating custom measurements and calculated metrics.

NEW QUESTION # 30
A technical architect is provided with the logic and Opportunity file shown below:
The opportunity status logic is as follows:
For the opportunity stages "Interest", "Confirmed Interest" and "Registered", the status should be "Open".
For the opportunity stage "Closed", the opportunity status should be closed Otherwise, return null for the opportunity status.

Given the above file and logic and assuming that the file is mapped in a GENERIC data stream type with the following mapping
"Day" - Standard "Day" field
"Opportunity Key" > Main Generic Entity Key
"Opportunity Stage" - Main Generic Entity Attribute
"Opportunity Count" - Generic Custom Metric
A pivot table was created to present the count of opportunities in each stage. The pivot table is filtered on Jan
11th. What is the number of 'opportunities in the Confirmed Interest stage?

A. 0
B. 1
C. 2
D. 3

Answer: D

Explanation:
Based on the data provided and the date filter set to January 11th, there are no records for 'Confirmed Interest' on that specific date in the Opportunity file. Thus, the number of opportunities in the 'Confirmed Interest' stage for January 11th would be zero (0). In Salesforce Marketing Cloud Intelligence, when creating pivot tables, the data is aggregated based on the selected filters. If no records meet the filter criteria, the result for that category would be zero. The answer is supported by best practices in data analysis and reporting within Salesforce Marketing Cloud Intelligence, where date filters are applied to segment and analyze data.

NEW QUESTION # 31
What areunstable measurements?

A. Measurements for which Aggregation Settings are set as 'Not Auto' and Granularity is set as 'None'.
B. Measurements for which Aggregation Settings are set as 'Not Auto' and Granularity is set as 'Not Empty'.
C. Measurements that are set with the LIFETIME aggregation function
D. Measurements for which Aggregation Settings are set as 'Auto' and Granularity is set as 'None'.

Answer: A

Explanation:
Unstable measurements refer to metrics that are not aggregated in a standard manner across different grains of data, which can result in inconsistent or unpredictable results when reporting across different dimensions or time frames.
* Option C describes a scenario where measurements have manual (Not Auto) aggregation settings, meaning they do not automatically adjust to theaggregation level of the report. Combined with a Granularity setting of 'None', this can lead to instability because the metric isn't bound to a specific granularity, which can cause data inconsistencies or misinterpretations when analyzed at varying levels of detail.

NEW QUESTION # 32
......

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Hugh Kelly Hugh Kelly

Biography

2025 Marketing-Cloud-Intelligence Answers Free Free PDF | Efficient Marketing-Cloud-Intelligence Valid Exam Question: Marketing Cloud Intelligence Accredited Professional Exam

Marketing-Cloud-Intelligence Valid Exam Question | Marketing-Cloud-Intelligence Test Torrent

Salesforce Marketing Cloud Intelligence Accredited Professional Exam Sample Questions (Q27-Q32):

Make Exam Preparation Simple With Real Salesforce Marketing-Cloud-Intelligence Exam Questions

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