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[General] AP-215 Test Guide Online - AP-215 Pass4sure Study Materials

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【General】 AP-215 Test Guide Online - AP-215 Pass4sure Study Materials

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Salesforce Marketing Cloud Intelligence Accredited Professional Sample Questions (Q20-Q25):NEW QUESTION # 20
Your client provided the following sources:
Source 1:

Source 2:

Source 3:

As can be seen, the Product values present in sources 2 and 3 are similar and can be linked with the first extraction from 'Media Buy Name' in source1 The end goal is to achieve a final view of Product Group alongside Clicks and Sign Ups, as described below:

Which two options will meet the client's requirement and enable the desired view?
  • A. Parent Child:
    All sources will be uploaded to the same data stream type - Ads. The setup is the following:
    Source 1: Media Buy Key -- Media Buy Key, extracted product value - Media Buy Attribute.
    Source 2: Product - Media Buy Key, Product Group -- Media Buy Attribute.
    Source 3: Product - Media Buy Key.
  • B. Custom Classification: 1
    Source 1: Custom Classification key will be populated with the extraction of the Media Buy Name.
    Source 2: 'Product' will be mapped to Custom Classification key and 'Product Group' to a Custom Classification level. Exam Timer Source 3: 'Product will be mapped to Custom Classification key. Came
  • C. Harmonization Center:
    Patterns from sources 1 and 3 generate harmonized dimension 'Product'. Data Classification rule, using source 2, is applied on top of the harmonized dimension
  • D. Overarching Entities:
    Source 1: custom classification key will be populated with the extraction of the Media Buy Name.
    Source 2: 'Product' will be mapped to Product field and 'Product Group' to Product Name.
    Source 3: 'Product' will be mapped to Product field.
Answer: B,C
Explanation:
To achieve a final view of Product Group alongside Clicks and Sign Ups, we should use:
Option A:
Custom Classification: By using a Custom Classification key populated with the extraction of the Media Buy Name in Source 1, we can then map 'Product' in Source 2 to this key and 'Product Group' to a Custom Classification level. This will allow for grouping and analysis by Product Group, as well as enable the desired view to be created.
Option D:
Harmonization Center: With patterns from Sources 1 and 3, we can create a harmonized dimension 'Product'. Then, by applying a Data Classification rule using Source 2, we can enhance the harmonized dimension. This allows us to align 'Product Group' with the 'Product' from Sources 1 and 3, facilitating an integrated view of Clicks and Sign Ups by Product Group.

NEW QUESTION # 21
What are two potential reasons for performance issues (when loading a dashboard) when using the CRM data stream type?
  • A. No mappable measurements - all measurements are calculated
  • B. When a data stream type ''CRM - Leads' is created, another complementary 'CRM - Opportunity' is created automatically.
  • C. The data is stored at the workspace level.
  • D. Pacing - daily rows are being created for every lead and opportunity keys
Answer: A,D
Explanation:
For performance issues when loading a dashboard using CRM data stream type:
Pacing can create performance issues because daily rows for every lead and opportunity key can result in a very large number of rows, increasing load times.
Having only calculated measurements means there are no direct, mappable values to query against, which can increase the computational load and affect performance.

NEW QUESTION # 22
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. vLookuP
  • B. Patterns
  • C. Mapping Formulas
  • D. Calculated Dimension
Answer: B
Explanation:
Patterns are the best approach in this scenario because:
Scalability: Patterns are highly scalable and can easily handle the addition of 100 more Facebook Ads and 50 more LinkedIn Ads streams. You can define pattern-matching rules that automatically apply to new data streams based on the naming conventions.
Flexibility and Maintenance: Patterns allow you to maintain and adjust logic easily. Since the logic for determining "Market" is based on a defined naming convention (e.g., Media Buy Type), Patterns can handle these rules effectively without requiring manual updates or static tables.
Efficient Harmonization: Patterns automatically classify data based on defined rules, reducing the need for ongoing manual maintenance compared to approaches like VLOOKUP or Mapping Formulas, which might require frequent updates as data changes.
Why not other options?
Mapping Formulas: While Mapping Formulas work well for static mappings, they are not as scalable or maintainable when the dataset grows or changes frequently.
Calculated Dimension: This option is valid for simple logic but is less maintainable for large-scale datasets, especially when new data streams are added.
VLOOKUP: This method is manual and not scalable. It would require you to update lookup tables for each new data stream, which is inefficient given the expected growth of the data.

NEW QUESTION # 23
A client's data consists of three data streams as follows:
Data Stream A:

The data streams should be linked together through a parent-child relationship.
Out of the three data streams, Data Stream C is considered the source of truth for both the dimensions and measurements.
The client would like to have a "Site Revenue" measurement.
This measurement should return the highest revenue value per Site, for example:
For Site Key 'SK_C_2', the "Site Revenue" should be $7.00.
When aggregated by date, the "Site Revenue" measurement should return the total sum of the results of all sites.
For example:
For the date 1 Apr 2020, "Site Revenue" should be $11.00 (sum of Site Revenue for Site Keys 'SK_C_1' ($4.00) and 'SK_C_2' ($7.00))

Which options will yield the desired result;
  • A. Option #2 & Option #3
  • B. Option #2 & Option #4
  • C. Option #1 & Option #3
  • D. Option #1 & Option #4
Answer: B
Explanation:
Option #2: It suggests using the 'SUM' function to aggregate the 'Site Revenue' for each 'Site Key'. This is necessary to ensure that when aggregated by date, 'Site Revenue' should return the total sum of the highest revenue for all sites.
Option #4: It indicates changing the Aggregation Function of Revenue to 'MAX' within Data Stream C.
This ensures that for a given 'Site Key', the highest revenue value is selected, which is correct for individual site revenue determination.
Combining Option #2 and Option #4 will provide the desired result:
For an individual 'Site Key', it will give the highest revenue (using MAX aggregation in Option #4).
When aggregating by date across all 'Site Key's, it will sum the highest revenues (using the SUM function in Option #2).

NEW QUESTION # 24
What are two potential reasons for performance issues (when loading a dashboard) when using the CRM data stream type?
  • A. No mappable measurements - all measurements are calculated
  • B. When a data stream type ''CRM - Leads' is created, another complementary 'CRM - Opportunity' is created automatically.
  • C. The data is stored at the workspace level.
  • D. Pacing - daily rows are being created for every lead and opportunity keys
Answer: A,D

NEW QUESTION # 25
......
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