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NEW QUESTION # 34
Which permission setting should an administrator check if the custom CRM object is not available in New Data Stream configuration?
- A. Create object permission enabled in Data Cloud org
- B. View All object permission enabled in source CRM org
- C. Ingest Object permission is enabled in the CRM org
- D. Modify All object permission enabled in Data Cloud org
Answer: B
Explanation:
Explanation
This permission setting should be checked if the custom CRM object is not available in New Data Stream configuration. The user who connects the Salesforce CRM connector must have View All permission for the custom object in the source CRM org.
References:https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_salesforce_crm.htm&type=5
NEW QUESTION # 35
Every day, Northern Trail Outfitters (NTO) uploads a summary of the last 24 hours of store transactions to a new file in an Amazon S3 bucket, and files older than 7 days are automatically deleted. Each file contains a timestamp in a standardized naming convention. What should a consultant consider when ingesting this data stream?
- A. Ensure the refresh mode is set to "Full Refresh" and "Refresh only new files' is selected
- B. Ensure the refresh mode is set to "Full Refresh" and the filename contains a wildcard to accommodate the timestamp
- C. Ensure the refresh mode is set to "Upsert" and Refresh only new files" is selected
- D. Advise NTO to change their processes: this configuration is not supported
Answer: C
Explanation:
This configuration will ensure that Data Cloud only ingests new files from the Amazon S3 bucket and updates or inserts new records into the data stream without deleting existing records. Reference: https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_amazon_s3.htm&type=5
NEW QUESTION # 36
Which three features can be used to validate the data in the unified profile object?
- A. Data Actions
- B. Identity Reconciliation
- C. Profile Explorer
- D. Data Explorer
- E. Query API
Answer: C,D,E
Explanation:
These three features can be used to validate the data in the unifiedprofile object. Data Explorer allows you to view the ingested data from different sources and how it is mapped to the unified profile object. Query API allows you to query the unified profile object using SOQL or SQL queries. Profile Explorer allows you toview the unified profile records and their attributes. References:
https://help.salesforce.com/s/articleView?id=sf.c360_a_data_explorer.htm&type=5
https://help.salesforce.com/s/articleView?id=sf.c360_a_query_api.htm&type=5https://help.salesforce.com/s/artic
NEW QUESTION # 37
A customer wants to create segments of users based on their Customer Lifetime Value. The source data that will be brought into the Data Cloud does not include that KPI. What process should be followed to achieve this outcome?
- A. Ingest Data > Create Calculated Insight > Use in Segmentation
- B. Create Calculated Insight > Map Data to Data Model > Use in Segmentation
- C. Ingest Data > Map Data to Data Model > Create Calculated
- D. Map Data to Data Model > Create Calculated Insight > Use in Segmentation
- E. Insight > Use in Segmentation
Answer: C
Explanation:
To create segments of users based on their Customer Lifetime Value, the customer needs to first ingest the source data into Data Cloud, then map the data to the Customer 360 data model, then create a calculated insight using the formula editor, and finally use the calculated insight in segmentation. Reference: [Data Ingestion], [Data Mapping], [Calculated Insights], [Segmentation]
NEW QUESTION # 38
A customer wants to use the transactional data from their data warehouse in Data Cloud. They are only able to export the data via a SFTP site. What are two recommended ways to bring this data into Data Cloud?
- A. Import the file into Google Cloud Storage and ingest with the Cloud Storage Connector
- B. Manually import the file using the Data Import Wizard
- C. Import the file into Amazon S3 and ingest with the Cloud Storage Connector
- D. Utilize Salesforce's Dataloader application to perform a bulk upload from a desktop
Answer: A,C
Explanation:
These two options are recommended ways to bring transactional data from a data warehouse into Data Cloud via a SFTP site. You can use the Cloud Storage Connector to ingest files from Google Cloud Storage or Amazon S3 buckets into Data Cloud.
References:https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_google_cloud_storage.htm&type
NEW QUESTION # 39
Which option allows an organization an easy way to ingest Marketing Cloud subscriber profile attributes into Data Cloud on a daily basis?
- A. Email Studio Starter Data Bundle
- B. Automation Studio and Profile API
- C. Marketing Cloud Connect API
- D. Profile attributes are not yet supported
Answer: B
Explanation:
This option allows an organization an easy way to ingest Marketing Cloud subscriber profile attributes into Data Cloud on a daily basis. You can use Automation Studio to export profile attributes to a data extension and use the Profile API to send them to Data Cloud. Reference: https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_marketing_cloud_data_foundation.htm&type=5
NEW QUESTION # 40
The website team at Cumulus Financial Services wants to understand which identified users have browsed the jobs page on their website at least twice within the last 12 hours. Which component should a consultant recommend to achieve this goal?
- A. Calculated Insight
- B. Segment
- C. Streaming Data Transformation
- D. Streaming Insight
Answer: D
Explanation:
This component should be recommended to achieve the goal of understanding which identified users have browsed the jobs page on their website at least twice within the last 12 hours. Streaming Insight allows you to query and filter data from real-time streams using window functions and aggregation functions. References:
https://help.salesforce.com/s/articleView?id=sf.c360_a_streaming_insights.htm&type=5
NEW QUESTION # 41
Which two steps are required when configuring a Marketing Cloud activation?
- A. Add Additional Attributes
- B. Select Contact Points
- C. Select an Activation Target
- D. Set an Activation Schedule
Answer: B,C
Explanation:
Explanation
These two steps are required when configuring a Marketing Cloud activation. You need to select an activation target that represents a Marketing Cloud business unit and a contact point that represents a Marketing Cloud data extension.
References:https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_marketing_cloud.htm&type=5
NEW QUESTION # 42
How do the Data streams that use the Marketing Cloud Connector refresh data?
- A. Marketing Cloud's Automation Studio handles this process.
- B. Manually refreshed by CDP Admin
- C. None of the above
- D. APIs are used for refresh
Answer: A
Explanation:
The data streams that use the Marketing Cloud Connector refresh data using MarketingCloud'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 canconfigure the frequency and time of the data extracts in Automation Studio. References: Marketing Cloud Connector
NEW QUESTION # 43
Which two statements about Data Cloud's Web and Mobile App connector are true?
- A. Any Data Streams associated with Web or Mobile connector app will be automatically deleted upon deleting the app from Data Cloud Setup
- B. Tenant Specific Endpoint is auto-generated in Data Cloud when setting up a Mobile or Web app connection
- C. Data Cloud administrators can see the status of a Web or Mobile connector app on the app details page
- D. Mobile and Web SDK schema can be updated to delete an existing field
Answer: B,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. Reference: https://help.salesforce.com/s/articleView?id=sf.c360_a_web_mobile_app_connector.htm&type=5
NEW QUESTION # 44
What should be the type of the Event Time Field while ingesting Engagement data?
- A. None of the above
- B. Mutable
- C. Inconsistent
- D. Immutable
Answer: D
Explanation:
The type of the Event Time Field while ingesting Engagement datashould 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. References: Engagement Data Model
NEW QUESTION # 45
Which two dependencies can prevent a Data Stream from being deleted?
- A. A data stream attribute is used in Activation
- B. A data stream attribute is mapped to a Data Model object
- C. A data stream attribute is used in Segmentation
- D. A data stream attribute is used in Calculated Insight
Answer: B,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 # 46
Northern Trail Outfitters uploads new customer data to an Amazon S3 Bucket on a daily basis to be ingested in Data Cloud. In what order should each process be run to ensure that freshly imported data is ready and available to use for any segment?
- A. Calculated Insight > Identity Resolution > Refresh Data Stream
- B. Refresh Data Stream > Calculated Insight > Identity Resolution
- C. Identity Resolution > Calculated Insight > Refresh Data Stream
- D. Refresh Data Stream > Identity Resolution > Calculated Insight
Answer: D
Explanation:
The recommended order of processes for updating data in Data Cloud is as follows6:
Refresh Data Stream: This process updates the data from the source, such as Amazon S3, into Data Cloud.
Identity Resolution: This process runs the rulesets that link together multiple records of an individual into a unified profile.
Calculated Insight: This process calculates additional attributes based on existing data, such as lifetime value or churn risk.
NEW QUESTION # 47
When can the data types be changed during ingestion?
- A. Data type can be changed at any time
- B. Data type can never be changed
- C. Before DSO is created
- D. After the DSO is created
Answer: C
Explanation:
The data types can be changed during ingestion before the Data Source Object (DSO) is created. A DSO is a container for ingested data that defines the schema, format, and metadata of the data. Data types can be changed in the Data Explorer before creating a DSO by using the Edit Schema option. Once a DSO is created, the data types cannot be changed. Reference: Create a Data Source Object
NEW QUESTION # 48
How do the Data streams that use the Marketing Cloud Connector refresh data?
- A. Marketing Cloud's Automation Studio handles this process.
- B. Manually refreshed by CDP Admin
- C. None of the above
- D. APIs are used for refresh
Answer: A
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. Reference: Marketing Cloud Connector
NEW QUESTION # 49
Which authentication type is supported for a Cloud File Storage activation target?
- A. Using JWT token
- B. Using access and secret keys
- C. Using encrypted username and password
- D. Using private key certificate
Answer: B
Explanation:
To create a Cloud File Storage activation target, you need to provide access and secret keys for authentication5. These keys are generated by your cloud storage provider, such as Amazon S3 or Google Cloud Storage.
NEW QUESTION # 50
What is a unique requirement of a Streaming Insight query?
- A. A dimension
- B. A measurement
- C. A WHERE clause
- D. A window function
Answer: D
Explanation:
A window function is a unique requirement of a Streaming Insight query. It defines the time interval for the queryto run on the streaming data and the frequency of the query execution.
References:https://help.salesforce.com/s/articleView?id=sf.c360_a_streaming_insights.htm&type=5
NEW QUESTION # 51
What is a DMO called if it inherits the name, shape, and semantics of the reference object?
- A. Custom DMO
- B. Standard DMO
- C. Data Source Object (DSO)
- D. Data Lake Object (DLO)
Answer: B
Explanation:
A Data Model Object (DMO) that inherits the name, shape, and semantics of the reference object is called a Standard DMO. A reference object is a predefined object in the Data Cloud data model that represents a common entity or concept, such as Individual, Order, or Product. A Standard DMO is a copy of a reference object that you can use to ingest data from a specific source without modifying the original reference object. A Standard DMO has the same fields and relationships as the reference object, but you can add custom fields or relationships to it if needed. References: Data Model Objects
NEW QUESTION # 52
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