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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Calculated Fields and Functions | 5% | - Extract and transformation formulas - VLOOKUP and FUZZYVLOOKUP - Custom calculations |
| Topic 2: Data Permissions and Governance | 5% | - Parent-child data setups - Data update controls - User access and roles |
| Topic 3: Reporting and Analytics | 12% | - Attribution models - Insight generation and interpretation - Report creation and scheduling |
| Topic 4: Dashboards and Visualization | 15% | - KPI and metric display - Chart types and usage - Dashboard design and layout |
| Topic 5: Data Integration and Ingestion | 12% | - Data streams and connectors - Refresh schedules and data flow - API and file-based import |
| Topic 6: Overarching Entities | 3% | - Structure and configuration - Use cases and application scenarios |
| Topic 7: Data Harmonization | 3% | - Cross-source alignment - Pros and cons of harmonization approaches - Standardization methods |
| Topic 8: Datasets and Data Views | 10% | - View configuration and sharing - Dataset creation and management - Filtering and segmentation |
| Topic 9: General Functionalities | 13% | - Core platform capabilities - Basic concepts and terminology - Navigation and interface |
| Topic 10: Data Quality and Cleansing | 7% | - Duplicate management - Error handling and correction - Validation rules |
| Topic 11: Performance and Troubleshooting | 5% | - Common issues and fixes - Monitoring and optimization |
| Topic 12: Automation and Workflow | 5% | - Automated distribution - Workflow setup |
| Topic 13: Data Mapping and Modeling | 5% | - Source of truth configuration - Dimensions and measures - Data structure and relationships |
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NEW QUESTION # 22
An implementation engineer is requested to integrate the following files:
File A:
File B:
The client would like to link the two files in order to view the two KPIS (Tasks Completed' and 'tasks Assignmed') alongside'Employee Name' and/or 'Squard'.
A Parent-Child configuration was set between the two.
Which two statements are correct?
Answer: A,B
Explanation:
In Marketing Cloud Intelligence, joining two files requires a common field to be mapped as the same entity. If "employee_name" is consistently mapped across both data streams, it can serve as the basis for the join, regardless of whether "employee_id" is mapped. The choice of which file serves as the Parent stream depends on the use case and the desired reporting structure, but technically, either could serve as the Parent.
NEW QUESTION # 23
Which option will yield the desired result:?
Answer: A
Explanation:
Option 4 presents two calculated measurements for 'Group Min Cost' with 'MIN' and 'AVG' aggregations. This approach aligns with the client's need for the minimum and average media cost values. 'Group Min Cost 4 MIN' will calculate the minimum media cost across the 'Media Buy Key', while 'Group Min Cost 4 FINAL' will average these minimum costs at the 'Campaign Key' level. This will yield the desired result where minimum costs are calculated at the Media Buy Key level and then averaged at the Campaign Key level.
NEW QUESTION # 24
Which Marketing Cloud Intelligence field is considered an attribute and not a "variable"?
Answer: C
Explanation:
In Marketing Cloud Intelligence, attributes refer to characteristics of the data that describe the environment or context but do not change within the scope of the data being analyzed. 'Device Category' is typically an attribute as it describes a characteristic of the device used and doesn't vary within a given session or user interaction. In contrast, variables are typically metrics or dimensions that can change value or be measured.
NEW QUESTION # 25
What are two potential reasons for performance issues (when loading a dashboard) when using the CRM data stream type?
Answer: B,D
NEW QUESTION # 26
A client has integrated the following files:
File A:
File B:
The client would like to link the two files in order to view the two KPIs ('Tasks Completed' and 'Tasks Assigned) alongside 'Employee Name' and/or
'Squad'.
The client set the following properties:
+ File A is set as the Parent data stream
* Both files were uploaded to a generic data stream type.
* Override Media Buy Hierarchies is checked for file A.
* The 'Data Updates Permissions' set for file B is 'Update Attributes and Hierarchy'.
When filtering on the entire date range (1-30/8), and querying employee ID, Name and Squad with the two measurements - what will the result look like?
Answer: C
Explanation:
In Marketing Cloud Intelligence, when linking two data streams, the parent data stream (File A) provides the main structure. Since 'Override Media Buy Hierarchies' is checked for File A, the hierarchies from File B will be aligned with File A. Given 'Data Updates Permissions' set for file B as 'Update Attributes and Hierarchy', this means that attributes and hierarchy will be updated in the parent file based on the child file (File B), but the child file's metrics won't be associated with the parent file's date.
Hence, when filtering on the entire date range (1-30/8), the resulting view will align with the structure of the parent data stream, showing the KPIs ('Tasks Completed' from File A and 'Tasks Assigned' from File B) alongside the employee names and squads from the respective files. Since the employee IDs align, the data can be linked properly. However, since the dates do not align (File A data is from 01/08/2019 and File B from 15/08/2019), only attributes from File B will be updated without date association.
The result will look like Option C, where the employee names are corrected based on File B's data, the squads are added from File B, and the tasks_completed and tasks_assigned are displayed from their respective files. The tasks_assigned from File B are shown without date association as File B's date doesn't match with File A's.
NEW QUESTION # 27
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