
[Dec 31, 2024] Salesforce-Data-Cloud Exam Dumps - 100% Marks In Salesforce-Data-Cloud Exam!
Exam Dumps Use Real Accredited Professional Dumps With 94 Questions!
NEW QUESTION # 21
What can be customized in the Data Cloud canonical model?
- A. Objects, Fields, and Relationships
- B. Fields
- C. Objects
- D. Objects and Fields
Answer: A
Explanation:
You can customize the Data Cloud canonical model by adding, editing, or deleting objects, fields, and relationships. You can also modify the properties, labels, and descriptions of these components. References:
https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_canonical_model.htm&type=5
NEW QUESTION # 22
Which two steps are required when configuring a Marketing Cloud activation?
- A. Set an Activation Schedule
- B. Add Additional Attributes
- C. Select an Activation Target
- D. Select Contact Points
Answer: C,D
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 # 23
How does Data Cloud handle an individual's right to be forgotten?
- A. Deletes the specified Individual record and its Unified Individual Link record.
- B. Deletes the records from all DSOs and any downstream DMOs are updated at the next scheduled ingestion.
- C. Deletes the specified Individual and records from any DSO mapped to the Individual DMO.
- D. Deletes the specifiedIndividual and records from any DMO/DLO related to the Individual.
Answer: C
Explanation:
This is how Data Cloud handles an individual's right to be forgotten. It deletes the individual record from the Individual data model object (DMO) and anyrelated records from the data stream objects (DSOs) that are mapped to it.
References:https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_delete_individual.htm&type=5
NEW QUESTION # 24
What can be customized in the Data Cloud canonical model?
- A. Objects, Fields, and Relationships
- B. Fields
- C. Objects
- D. Objects and Fields
Answer: A
Explanation:
You can customize the Data Cloud canonical model by adding, editing, or deleting objects, fields, and relationships. You can also modify the properties, labels, and descriptions of these components. Reference: https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_canonical_model.htm&type=5
NEW QUESTION # 25
Which of the followingcannotbe used in Segmentation? (Choose 2)
- A. Date Time Measures
- B. Numeric Measures
- C. Text Measures
- D. Aggregate Functions
Answer: A,C
Explanation:
Explanation
Text Measures and Date Time Measures cannot be used in Segmentation. Segmentation is the process of creating filtered audience segments based on calculated insights. Calculated insights are metrics that define and calculate multidimensional measures on your data. Only Numeric Measures can be used as calculated insights, because they can be aggregated using functions such as SUM, AVG, MIN, MAX, or COUNT. Text Measures and Date Time Measures 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 # 26
A segment fails to refresh with the error "Segment references too many Data Lake Objects (DLOs)". What are two remedies for this issue?
- A. Refine segmentation criteria tolimit up to 5 custom DMOs
- B. Space out the segment schedules to reduce Data Lake Object load
- C. Split the segment into smaller segments
- D. Use Calculated Insights in order to reduce the complexity of the segmentation query
Answer: B,C
Explanation:
These two remedies can help resolve the error "Segment references too many Data Lake Objects (DLOs)".
Spacing out the segment schedules can reduce the concurrent load on the Data Lake Objects and improve performance. Splitting the segment into smaller segments can reduce the number of Data Lake Objects that are referenced by each segment. References:https://help.salesforce.com/s/articleView?
NEW QUESTION # 27
Which data model subject area defines the revenue or quantity for an opportunity by product family?
- A. Engagement
- B. Product
- C. Sales Order
- D. Party
Answer: C
Explanation:
Explanation
The sales order subject area defines the revenue or quantity for an opportunity by product family. It also includes information about the opportunity stage, close date, and owner.
References:https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_sales_order.htm&type=5
NEW QUESTION # 28
When setting up the data source object or schema for data ingestion, what are the three data categories to select from?
- A. Order Data
- B. Event Data
- C. Engagement Data
- D. Other Data
- E. Profile Data
Answer: A,C,E
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 # 29
Which type of measures with aggregate functions are supported?
- A. Boolean
- B. Numeric
- C. Date
- D. Text
Answer: B
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. Reference: Measures and Dimensions
NEW QUESTION # 30
How does Data Cloud handle an individual's right to be forgotten?
- A. Deletes the specified Individual and records from any DMO/DLO related to the Individual.
- B. Deletes the specified Individual record and its Unified Individual Link record.
- C. Deletes the records from all DSOs and any downstream DMOs are updated at the next scheduled ingestion.
- D. Deletes the specified Individual and records from any DSO mapped to the Individual DMO.
Answer: D
Explanation:
This is how Data Cloud handles an individual's right to be forgotten. It deletes the individual record from the Individual data model object (DMO) and any related records from the data stream objects (DSOs) that are mapped to it. References:
https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_delete_individual.htm&type=5
NEW QUESTION # 31
Which three features can be used to validate the data in the unified profile object?
- A. Identity Reconciliation
- B. Data Actions
- C. Data Explorer
- D. Query API
- E. Profile Explorer
Answer: C,D,E
Explanation:
Explanation
These three features can be used to validate the data in the unified profile 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 to view 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 # 32
What is the maximum limit of the number of records for Full Refresh Extract Method?
- A. 10 million
- B. 40 million
- C. No hard limit
- D. 50 million
Answer: A
Explanation:
The maximum limit of the number of records for Full Refresh Extract Method is 10 million. Full Refresh Extract Method is an option for extracting data from Marketing Cloud to Data Cloud. It extracts all records from a data extension regardless of when they were created or modified. If the number of records exceeds 10 million, an error occurs and no records are extracted. References: Extract Methods
NEW QUESTION # 33
Which three actions can be applied to a previously created segment?
- A. Copy
- B. Delete
- C. Reactivate
- D. Inactivate
- E. Export
Answer: A,B,E
Explanation:
These three actions can be applied to apreviously created segment. You can export a segment to a CSV file, delete a segment from Data Cloud, or copy a segment to create a duplicate segment with the same criteria.
References:https://help.salesforce.com/s/articleView?id=sf.c360_a_segmentation_actions.htm&type=5
NEW QUESTION # 34
How does an administrator increase the consolidation rate for Identity Resolution?
- A. Change all reconciliation rules to Source Sequence
- B. Reduce the number of matching rules
- C. Add more matching rules to broaden the search for matches
- D. Change the Ignore Empty Value option
Answer: B
Explanation:
Reducing the number of matching rules can increase the consolidation rate for Identity Resolution, because it reduces the chances of finding multiple matches for the same individual. Matching rules tell Data Cloud which profiles to unify during the identity resolution process. Ifthere are too many matching rules, Data Cloud might find more than one match for a given profile, resulting in a lower consolidation rate. References: Identity Resolution Match Rules
NEW QUESTION # 35
How many days of historical data is loaded when B2C Commerce Data Stream is created from the Order Bundle?
- A. 10 days
- B. 30 days
- C. 90 days
- D. 60 days
Answer: B
Explanation:
When B2C Commerce Data Stream is created from the Order Bundle, 30 days of historical data is loaded. The Order Bundle is a preconfigured data bundle that contains order-related data from B2C Commerce Cloud. Data Stream is a feature that allows you to stream data from B2C Commerce Cloud to Data Cloud in near real time. Reference: B2C Commerce Data Stream
NEW QUESTION # 36
Which data sources are available from Marketing Cloud as a starter bundle?
- A. Email, MobileConnect and MobilePush
- B. Email, Cloud Pages, Einstein Web & Email Recommendations
- C. Email, MobileConnect, MobilePush and GroupConnect
- D. Email, Mobile Connect, and Einstein Engagement Scoring
Answer: A
Explanation:
These data sources are available from Marketing Cloud as a starter bundle. They provide basic contact data, such as email address, mobile number, and device ID, as well as engagement data, such as email opens, clicks, bounces, unsubscribes, SMS sends, deliveries, opt-outs, and push sends, opens, and opt-outs. Reference: https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_marketing_cloud_data_foundation.htm&type=5
NEW QUESTION # 37
Which method should an administrator use when performing aggregations in windows of 15 minutes on data collected via the Interactions SDK and Mobile SDK?
- A. Activation
- B. Calculated Insight
- C. Segment
- D. Streaming Insight
Answer: D
Explanation:
This method should be used when performing aggregations in windows of 15 minutes on data collected via the Interactions SDK and Mobile SDK. Streaming Insight allows you to query and aggregate data from real-time streams using window functions. Reference: https://help.salesforce.com/s/articleView?id=sf.c360_a_streaming_insights.htm&type=5
NEW QUESTION # 38
What does it mean to build a trust-based, first-party data asset?
- A. Provide transparency and security for data gathered from individuals who provide consent for its use and receive value in exchange
- B. Ensure opt-in consents are collected for all email marketing as required by law
- C. Obtain competitive data from reliable sources through interviews, surveys, and polls
- D. Pass the trust-based compliance rules as a first-party data asset is added to Data Cloud
Answer: A
Explanation:
This is what it means to build a trust-based, first-party data asset. It involves respecting the privacy and preferences of individuals who share their data with an organization and ensuring that the data is used in a responsible and ethical way. Reference: https://www.salesforce.com/products/genie/overview/
NEW QUESTION # 39
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