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| Section | Objectives |
|---|---|
| Data Cloud Setup and Administration | - Configure Data Cloud settings - Manage Data Cloud permissions and security |
| Data Cloud Reporting and Analytics | - Utilize Data Cloud reports and dashboards |
| Data Cloud Overview | - Describe the Data Cloud ecosystem and how it fits into the Salesforce platform - Explain the purpose and functionality of Data Cloud |
| Data Ingestion and Modeling | - Describe data streams and data sources - Explain data modeling concepts including Data Model Objects (DMOs) |
| Identity Resolution | - Explain the purpose and configuration of Identity Resolution - Describe matching and reconciliation rules |
| Segmentation and Calculated Insights | - Create and manage segments - Explain calculated insights |
| Activation | - Describe activation use cases - Configure activations to various targets |
1. A retail customer wants to bring customer data from different sources
and wants to take advantage of identity resolution so that it can be
used in segmentation.
On which entity should this be segmented for activation membership?
A) Unified Individual
B) Subscriber
C) Individual
D) Unified Contact
2. A customer has outlined requirements to trigger a journey for an abandoned browse behavior. Based on the requirements, the consultant determines they will use streaming insights to trigger a data action to Journey Builder every hour.
How should the consultant configure the solution to ensure the data action is triggered at the cadence required?
A) Set the journey entry schedule to run every hour.
B) Set the activation schedule to hourly.
C) Configure the data to be ingested in hourly batches.
D) Set the insights aggregation time window to 1 hour.
3. A company wants to include certain personalized fields in an email by including related attributes during the activation in Data Cloud. It notices that some values, such as purchased product names, do not have consistent casing in Marketing Cloud Engagement. For example, purchased product names appear as follows: Jacket, jacket, shoes, SHOES. The company wants to normalize all names to proper case and replace any null values with a default value.
How should a consultant fulfill this requirement within Data Cloud?
A) Create one batch data transform that creates a new DLO.
B) Create a streaming insight with a data action.
C) Use formula fields when ingesting at the data stream level.
D) Create one batch data transform per data stream.
4. Northern Trail Outfitters (NTO) is configuring an identity resolution ruleset based on Fuzzy Name and Normalized Email.
What should NTO do to ensure the best email address is activated?
A) Include Contact Point Email object Is Active field as a match rule.
B) Use the source priority order in activations to make sure a contact point from the desired sourceis delivered to the activation target.
C) Set the default reconciliation rule to Last Updated.
D) Ensure Marketing Cloud is prioritized as the first data source in the Source Priority reconciliationrule.
5. What is Data Cloud's primary value to customers?
A) To provide a unified view of a customer and their related data
B) To connect all systems with a golden record
C) To create a single source of truth for all anonymous data
D) To create personalized campaigns by listening, understanding, and acting on customer behavior
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: A | Question # 3 Answer: A | Question # 4 Answer: B | Question # 5 Answer: A |
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