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| Section | Objectives |
|---|---|
| Data Ingestion and Data Modeling | - Data sources and ingestion methods - Data model objects and harmonization |
| Identity Resolution and Unification | - Unified customer profile concepts - Identity resolution rules |
| Data Governance and Privacy | - Data privacy and compliance concepts - Security and data access controls |
| Salesforce Data Cloud Fundamentals | - Core concepts and architecture - Data Cloud value and use cases |
| Segmentation and Activation | - Activation to Salesforce and external systems - Segmentation logic and audience building |
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NEW QUESTION # 105
Which type of measures with aggregate functions are supported?
Answer: B
Explanation:
Explanation
Numeric is the only type of measures that support aggregate functions. Measures are numeric fields that can be aggregated using functions such as SUM, AVG, MIN, MAX, or COUNT. For example, you can use a measure to calculate the total revenue or the average order value from your data. Date, Text, and Boolean are not types of measures, but types of dimensions. Dimensions are fields that can be used to group or filter data, but not to perform calculations. References: Measures and Dimensions
NEW QUESTION # 106
Which two dependencies can prevent a Data Stream from being deleted?
Answer: A,D
Explanation:
A data stream cannot be deleted if any of its attributes are mapped to a Data Model object or used in a Calculated Insight3. These dependencies need to be removed before deleting the data stream.
NEW QUESTION # 107
When setting up the data source object or schema for data ingestion, what are the three data categories to select from?
Answer: B,C,D
Explanation:
These are the three data categories to select from when setting up the data source object or schema for data ingestion. Engagement data includes information about how customers interact with a brand or product, such as clicks, views, likes, etc. Order data includes information about transactions or purchases made by customers, such as order ID, amount, date, etc. Profile data includes information about customers' attributes or preferences, such as name, email, gender, etc. References: [Data Categories]
NEW QUESTION # 108
Which operator can be used to create a segment for a birthday campaign that is evaluated daily?
Answer: A
Explanation:
This operator can be used to create a segment for a birthday campaign that is evaluated daily. It compares a date attribute to the current date and returns true if they have the same month and day, regardless ofthe year.
References:https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_segmentation_operators.htm&ty
NEW QUESTION # 109
How does Data Cloud ensure high availability and fault tolerance for customer data?
Answer: B
Explanation:
Ensuring High Availability and Fault Tolerance:
High availability refers to systems that are continuously operational and accessible, while fault tolerance is the ability to continue functioning in the event of a failure.
Reference: Salesforce High Availability and Fault Tolerance Whitepaper
Data Distribution Across Multiple Regions and Data Centers:
Salesforce Data Cloud ensures high availability by replicating data across multiple geographic regions and data centers. This distribution mitigates risks associated with localized failures.
If one data center goes down, data and services can continue to be served from another location, ensuring uninterrupted service.
Reference: Salesforce Infrastructure Overview
Benefits of Regional Data Distribution:
Redundancy: Having multiple copies of data across regions provides redundancy, which is critical for disaster recovery.
Load Balancing: Traffic can be distributed across data centers to optimize performance and reduce latency.
Regulatory Compliance: Storing data in different regions helps meet local data residency requirements.
Reference: Salesforce Data Center Locations and Regional Data Hosting
Implementation in Salesforce Data Cloud:
Salesforce utilizes a robust architecture involving data replication and failover mechanisms to maintain data integrity and availability.
This architecture ensures that even in the event of a regional outage, customer data remains secure and accessible.
Reference: Salesforce Trust and Compliance Documentation
NEW QUESTION # 110
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