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| Section | Objectives |
|---|---|
| Topic 1: Data Ingestion and Data Modeling | - Data sources and ingestion methods - Data model objects and harmonization |
| Topic 2: Segmentation and Activation | - Segmentation logic and audience building - Activation to Salesforce and external systems |
| Topic 3: Identity Resolution and Unification | - Unified customer profile concepts - Identity resolution rules |
| Topic 4: Salesforce Data Cloud Fundamentals | - Data Cloud value and use cases - Core concepts and architecture |
| Topic 5: Data Governance and Privacy | - Security and data access controls - Data privacy and compliance concepts |
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NEW QUESTION # 144
What should be the type of the Event Time Field while ingesting Engagement data?
Answer: D
Explanation:
The type of the Event Time Field while ingesting Engagement data should be Immutable. Immutable means that the field value cannot be changed once it is ingested. The Event Time Field is a mandatory field for Engagement data that represents the timestamp of when an event occurred. It is important to keep this field immutable to ensure the accuracy and consistency of the event data. Reference: Engagement Data Model
NEW QUESTION # 145
Which two statements about Data Cloud's Web and Mobile App connector are true?
Answer: A,C
Explanation:
The app details page shows the status of the app, such as active, inactive, or error. The tenant specific endpoint is a unique URL that is generated for each app and used to send data to Data Cloud from the web or mobile SDK. References:https://help.salesforce.com/s/articleView?id=sf.c360_a_web_mobile_app_connector.
htm&type=5
NEW QUESTION # 146
Which method should a consultant use when performing aggregations in windows of 15 minutes on data collected via the Interaction SDK or Mobile SDK?
Answer: B
Explanation:
Streaming insight is a method that allows you to perform aggregations in windows of 15 minutes on data collected via the Interaction SDK or Mobile SDK. Streaming insight is a feature that enables you to create real-time metrics and insights based on streaming data from various sources, such as web, mobile, or IoT devices. Streaming insight allows you to define aggregation rules, such as count, sum, average, min, max, or percentile, and apply them to streaming data in time windows of 15 minutes. For example, you can use streaming insight to calculate the number of visitors, the average session duration, or the conversion rate for your website or app in 15-minute intervals. Streaming insight also allows you to visualize and explore the aggregated data in dashboards, charts, or tables. References: Streaming Insight, Create Streaming Insights
NEW QUESTION # 147
A consultant wants to ensure that every segment managed by multiple brand teams adheres to the same set of exclusion criteria, that are updated on a monthly basis.
What is the most efficient option to allow for this capability?
Answer: B
Explanation:
The most efficient option to allow for this capability is to create a reusable container block with common criteria. A container block is a segment component that can be reused across multiple segments. A container block can contain any combination of filters, nested segments, and exclusion criteria. A consultant can create a container block with the exclusion criteria that apply to all the segments managed by multiple brand teams, and then add the container block to each segment. This way, the consultant can update the exclusion criteria in one place and have them reflected in all the segments that use the container block.
The other options are not the most efficient options to allow for this capability. Creating, publishing, and deploying a data kit is a way to share data and segments across different data spaces, but it does not allow for updating the exclusion criteria on a monthly basis. Creating a nested segment is a way to combine segments using logical operators, but it does not allow for excluding individuals based on specific criteria. Creating a segment and copying it for each brand is a way to create multiple segments with the same exclusion criteria, but it does not allow for updating the exclusion criteria in one place.
Create a Container Block
Create a Segment in Data Cloud
Create and Publish a Data Kit
Create a Nested Segment
NEW QUESTION # 148
How do the Data streams that use the Marketing Cloud Connector refresh data?
Answer: A
Explanation:
Explanation
The data streams that use the Marketing Cloud Connector refresh data using Marketing Cloud's Automation Studio. The Marketing Cloud Connector is a feature that allows you to stream data from Marketing Cloud to Data Cloud in near real time. The connector uses Automation Studio to schedule and run data extracts from Marketing Cloud data extensions and send them to Data Cloud via SFTP. You can configure the frequency and time of the data extracts in Automation Studio. References: Marketing Cloud Connector
NEW QUESTION # 149
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