AP-215 Prüfungs-Guide - AP-215 Fragenpool

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Salesforce AP-215 Exam Syllabus Topics:

Section	Objectives
Topic 1: Data Ingestion and Integration	- Data synchronization and scheduling - Data sources and connectors - Data ingestion processes
Topic 2: Marketing Use Cases and Activation	- Campaign performance analysis - Business reporting use cases - Cross-channel marketing insights
Topic 3: Data Modeling and Transformation	- Normalization and harmonization - Metrics and dimensions configuration - Data model structure and schema design
Topic 4: Administration and Security	- User roles and permissions - Data access control - Platform configuration
Topic 5: Analytics and Dashboarding	- Visualization best practices - Dashboard creation and configuration - Insights and reporting
Topic 6: Data Quality and Troubleshooting	- Performance optimization - Data validation and monitoring - Error handling and debugging

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Echte AP-215 Fragen und Antworten der AP-215 Zertifizierungsprüfung

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Salesforce Marketing Cloud Intelligence Accredited Professional AP-215 Prüfungsfragen mit Lösungen (Q10-Q15):

10. Frage
Your client is interested in ingested the below file to a new generic data stream type:

The field 'Meeting Code' was mapped to the main entity key. 'How should the 'Room Number' be mapped?

A. An attribute of 'Meeting Code'
B. A custom metric and set aggregation to SUM
C. A custom metric and set aggregation to AUTO
D. A separate entity key

Antwort: A

Begründung:
In Marketing Cloud Intelligence, when a field is mapped to the main entity key, other related fields should be mapped as attributes of that key if they provide additional descriptors or details. Since 'Room Number' is related to 'Meeting Code', it would be an attribute of the 'Meeting Code' entity, providing additional context to the meetings without serving as a metric or a separate entity key.

11. Frage
Which two statements are correct regarding the Parent-Child configuration?

A. Parent-Child configurations can cause performances issues
B. A Parent-Child cannot be configured between an Ads data stream type and a Conversion Tag one.
C. Parent-Child links different tables based on shared key values
D. Parent-Child allows sharing both dimensions and measurements

Antwort: A,C

Begründung:
Parent-Child configurations in Marketing Cloud Intelligence are used to link different data tables based on shared key values, allowing for the relational organization of data across various streams. While this setup enhances data analysis and reporting by maintaining logical relationships between parent and child tables, it can also introduce performance issues. The complexity increases with the number of relationships and the volume of data, potentially slowing down query processing and data manipulation. Additionally, Parent-Child configurations facilitate the sharing of dimensions and measurements across linked tables, enhancing the data's usability without duplicating it.

12. Frage
A client Ingested the following We into Marketing Cloud Intelligence:

The mapping of the above file can be seen below:
Date - Day
Media Buy Key - Media Buy Key
Campaign Name - Campaign Name
Campaign Group -. Campaign Custom Attribute 01
Clicks -> Clicks
Media Cost -> Media Cost
Campaign Planned Clicks -> Delivery Custom Metric 01
The client would like to have a "Campaign Planned Clicks" measurement.
This measurement should return the "Campaign Planned Clicks" value per Campaign, for example:
For Campaign Name 'Campaign AAA", the "Campaign Planned Clicks" should be 2000, rather than 6000 (the total sum by the number of Media Buy keys).
In order to create this measurement, the client considered multiple approaches. Please review the different approaches and answer the following question:

Which two options will yield a false result:

A. Option 4
B. Option 1
C. Option 2
D. Option 5
E. Option 3

Antwort: B,D

Begründung:
The goal is to obtain a "Campaign Planned Clicks" value per Campaign, not accumulated by Media Buy keys. Option 1 (SUM aggregation function) would sum all the "Campaign Planned Clicks" across Media Buy keys which would not yield the unique value per Campaign. Similarly, Option 5 (AVG aggregation function at Campaign Key level) would incorrectly average the values. Both options do not provide a way to return a singular "Campaign Planned Clicks" value for each Campaign.

13. Frage
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. No mappable measurements - all measurements are calculated
C. Pacing - daily rows are being created for every lead and opportunity keys
D. The data is stored at the workspace level.

Antwort: B,C

14. Frage
An implementation engineer has been asked by a client for assistance with the following problem:
The below dataset was ingested:

However, when performing QA and querying a pivot table with Campaign Category and Clicks, the value for Type' is 4.
What could be the reason for this discrepancy?

A. The measurement 'Clicks' is set as a percentage.
B. The aggregation function is set as LIFETIME
C. The aggregation function is set as AVG
D. A mapping formula was populated, indicating not to bring Type! values.

Antwort: C

Begründung:
The discrepancy of 'Clicks' being reported as 4 for 'Type1' when the sum of clicks in the dataset for 'Type1' is 8 (2 on 02/02/2021 and 6 on 03/02/2021) suggests that the aggregation function used in the pivot table is set to average (AVG) rather than sum. Salesforce Marketing Cloud Intelligence allows setting different aggregation functions for metrics, and setting it to average would result in such a discrepancy when more than one entry for the same type exists. Reference: Salesforce Marketing Cloud Intelligence documentation on custom measurements and data aggregations explains how to set and understand different aggregation functions.

15. Frage
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