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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Overarching Entities | 3% | - Use cases and application scenarios - Structure and configuration |
| Topic 2: Data Permissions and Governance | 5% | - Data update controls - User access and roles - Parent-child data setups |
| Topic 3: Data Harmonization | 3% | - Cross-source alignment - Standardization methods - Pros and cons of harmonization approaches |
| Topic 4: Reporting and Analytics | 12% | - Report creation and scheduling - Attribution models - Insight generation and interpretation |
| Topic 5: General Functionalities | 13% | - Basic concepts and terminology - Core platform capabilities - Navigation and interface |
| Topic 6: Data Integration and Ingestion | 12% | - Data streams and connectors - API and file-based import - Refresh schedules and data flow |
| Topic 7: Datasets and Data Views | 10% | - Dataset creation and management - Filtering and segmentation - View configuration and sharing |
| Topic 8: Calculated Fields and Functions | 5% | - VLOOKUP and FUZZYVLOOKUP - Extract and transformation formulas - Custom calculations |
| Topic 9: Performance and Troubleshooting | 5% | - Common issues and fixes - Monitoring and optimization |
| Topic 10: Data Quality and Cleansing | 7% | - Error handling and correction - Duplicate management - Validation rules |
| Topic 11: Data Mapping and Modeling | 5% | - Data structure and relationships - Source of truth configuration - Dimensions and measures |
| Topic 12: Dashboards and Visualization | 15% | - Chart types and usage - KPI and metric display - Dashboard design and layout |
| Topic 13: Automation and Workflow | 5% | - Workflow setup - Automated distribution |
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NEW QUESTION # 38
A client would like to integrate the following two sources:
Google Campaign Manager:
IAS:
After configuring a Parent-Child relationship between the files, which query should an implementation engineer run in order to QA the setup?
Answer: C
Explanation:
To QA the Parent-Child relationship setup between Google Campaign Manager and IAS data sources, it is essential to query fields that are common to both sources and that are relevant to the relationship. 'Media Buy Type' and 'Media Buy Name' are common identifiers between the two datasets. 'Impressions' from the Google Campaign Manager and 'Analyzed Impressions' from the IAS data are the metrics that should be compared to ensure they match or correlate as expected due to the Parent-Child relationship. The QA process involves checking that the data is correctly aligned and that the metrics from the parent source (Google Campaign Manager) are properly related to the metrics from the child source (IAS). Reference: Salesforce Marketing Cloud Intelligence documentation on data integration, Parent-Child relationships, and QA procedures for data setup.
NEW QUESTION # 39
Which two statements are correct regarding variable Dimensions in marketing Cloud intelligence's data model?
Answer: A,D
Explanation:
Variable dimensions in Marketing Cloud Intelligence's data model are flexible and can be associated with multiple entities, forming a many-to-many relationship. These dimensions are configured and stored at the workspace level, allowing for customization and alignment with specific reporting needs and analytics practices.
NEW QUESTION # 40
What is the relationship between "Media Buy Key" and "Creative Key?
Answer: D
Explanation:
In Marketing Cloud Intelligence, the "Media Buy Key" is typically associated with the purchase details of a media campaign, such as the platform, audience, and budget. The "Creative Key" relates to the specific creative asset used within a campaign, like an image, video, or text. A single media buy can have multiple creative variations to test performance or to target different audiences, leading to a one-to-many relationship.
NEW QUESTION # 41
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.
Assuming the data was ingested properly and the Parent Child was created correctly according to the client's requirements, what is the total Impressions value for Campaign Key 'CK_3'?
Answer: B
Explanation:
Assuming that Data Stream A is set correctly with parent-child relationships:
To find the total impressions for Campaign Key 'CK_3', you would look in Data Stream A, since it contains the 'Impressions' metric.
As per the provided data, Campaign Key 'CK_3' has 100 impressions.
NEW QUESTION # 42
What are two potential reasons for performance issues (when loading a dashboard) when using the CRM data stream type?
Answer: A,B
NEW QUESTION # 43
......
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