Pass Salesforce Salesforce-Data-Cloud Exam Info and Free Practice Test
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NEW QUESTION # 56
Which data model subject area defines the revenue or quantity for an opportunity by product family?
- A. Sales Order
- B. Engagement
- C. Product
- D. Party
Answer: A
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 # 57
When setting up the data source object or schema for data ingestion, what are the three data categories to select from?
- A. Other Data
- B. Profile Data
- C. Order Data
- D. Event Data
- E. Engagement Data
Answer: B,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. Reference: [Data Categories]
NEW QUESTION # 58
Which data sources are available from Marketing Cloud as a starter bundle?
- A. Email, MobileConnect and MobilePush
- B. Email, MobileConnect, MobilePush and GroupConnect
- C. Email, Mobile Connect, and Einstein Engagement Scoring
- D. Email, Cloud Pages, Einstein Web & Email Recommendations
Answer: A
Explanation:
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.
References:https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_marketing_cloud_data_foundatio
NEW QUESTION # 59
An administrator has configured the Salesforce CRM connector and set up a data stream for the Case object. A new custom field called "Business Priority" was created on the Case object. However, that field is not available when trying to add it in the data stream. What could be causing this issue?
- A. The Data Cloud administrator does not need to do anything. After 24 hours when the data stream refreshes, it will automatically include any new fields that were added to CRM
- B. Custom fields on the Case objects are not supported for ingesting into Data Cloud
- C. The Salesforce Integration User is missing "Read" permissions on the newly created field
- D. Utilize the Salesforce Dataloader application to perform a bulk upload from a desktop
Answer: C
Explanation:
One possible reason why a new custom field is not available in the data stream is that the Salesforce Integration User, which is used to connect to the CRM source, does not have "Read" permissions on that field2. To fix this issue, the administrator needs to grant the appropriate permissions to the Integration User profile or permission set.
NEW QUESTION # 60
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. Segment
- B. Streaming Data Transformation
- C. Streaming Insight
- D. Calculated Insight
Answer: C
Explanation:
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 # 61
Which three Data Model objects do Reconciliation Rules operate across?
- A. Individual
- B. Contact Point Email
- C. Lead
- D. Party Identification
- E. Contact
Answer: A,B,D
Explanation:
These are the three Data Model objects that Reconciliation Rules operate across. Reconciliation rules tell Data Cloud how to prioritize values for unified individual profiles when there is conflicting information in the data model. For example, if two profiles have different email addresses, reconciliation rules can determine which one to use for the unified profile. Reconciliation rules can operate on the Individual object, which represents a person or entity, the Party Identification object, which represents an identifier such as a social media handle or a loyalty card number, and the Contact Point Email object, which represents an email address. Reference: Identity Resolution Reconciliation Rules
NEW QUESTION # 62
What is the maximum limit of the number of records for Full Refresh Extract Method?
- A. 10 million
- B. No hard limit
- C. 50 million
- D. 40 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. Reference: Extract Methods
NEW QUESTION # 63
What is a unique requirement of a Streaming Insight query?
- A. A WHERE clause
- B. A window function
- C. A dimension
- D. A measurement
Answer: B
Explanation:
Explanation
A window function is a unique requirement of a Streaming Insight query. It defines the time interval for the query to 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 # 64
How many Metrics can be present in 1 segment container?
- A. 0
- B. 1
- C. 2
- D. 3
Answer: C
Explanation:
Only one metric can be present in one segment container. A segment container is a logical grouping of segments that share the same metric and granularity. A metric is a calculated insight that defines and calculates a multidimensional measure on your data. A granularity is the level of detail at which you want to analyze your data, such as daily, weekly, or monthly. You can create multiple segment containers with different metrics and granularities, but each segment container can only have one metric. Reference: Segment Containers
NEW QUESTION # 65
An administrator wants to be able to create a multi-dimensional metric to identify unified individual lifetime value (LTV). Which sequence of DMO joins are necessary within the Calculated Insight to enable this calculation?
- A. Unified Individual > Unified Link Individual > Sales Order
- B. Sales Order > Unified Individual
- C. Unified Individual > Individual > Sales Order
- D. Sales Order > Individual > Unified Individual
Answer: A
Explanation:
To create a multi-dimensional metric to identify unified individual lifetime value (LTV), the administrator needs to join the following data model objects (DMOs) in the Calculated Insight:
Unified Individual: This DMO represents the unified profile of an individual, which contains attributes from multiple sources.
Unified Link Individual: This DMO represents the link between an Individual DMO and a Unified Individual DMO.
Sales Order: This DMO represents a transaction or purchase made by an individual.
The sequence of joins should start from the Unified Individual DMO, then join the Unified Link Individual DMO using the UnifiedIndividualId field, and then join the Sales Order DMO using the IndividualId field. This way, the administrator can access the sales order data for each unified individual and calculate their lifetime value.
NEW QUESTION # 66
How does Identity Resolution select attributes for Unified Individuals when there is conflicting information in the Data Model?
- A. Leverage Reconciliation Rules
- B. Create additional Contact Points
- C. Create additional Rule Sets
- D. Leverage Match Rules
Answer: A
Explanation:
Explanation
Reconciliation rules are used to select attributes for Unified Individuals when there is conflicting information in the Data Model. Reconciliation rules can use different methods to prioritize values, such as source sequence, most recent value, or most frequent value. For example, if two profiles have different first names, reconciliation rules can determine which one to use for the unified profile based on the source sequence or the most recent value. References: Identity Resolution Reconciliation Rules
NEW QUESTION # 67
Which data model subject area should be used for any Organization, Individual, or Member in the Customer
360 data model?
- A. Party
- B. Global Account
- C. Individual
- D. Membership
Answer: A
Explanation:
Explanation
The party subject area should be used for any organization, individual, or member in the Customer 360 data model. It includes information such as name, address, email, phone, and loyalty membership.
References:https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_party.htm&type=5
NEW QUESTION # 68
How many calculated insights can be created per tenant?
- A. 0
- B. 1
- C. 2
- D. 3
Answer: A
Explanation:
The maximum number of calculated insights that can be created per tenant is 50. A calculated insight is a metric that defines and calculates a multidimensional measure on your data. You can use calculated insights to create segments and analyze your data in Data Cloud. You can also use calculated insights to create dashboards and reports in Tableau CRM. Reference: Calculated Insights
NEW QUESTION # 69
Which two steps are required when configuring a Marketing Cloud activation?
- A. Add Additional Attributes
- B. Select an Activation Target
- C. Set an Activation Schedule
- D. Select Contact Points
Answer: B,D
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 # 70
To import campaign members into a campaign in CRM a user wants to export the segment to Amazon S3. The resulting file needs to include CRM Campaign ID in the name. How can this outcome be achieved?
- A. Include campaign identifier into the filename specification
- B. Hard-code the campaign identifier as a new attribute in the campaign activation
- C. Include campaign identifier into the segment name
- D. Include campaign identifier into the activation name
Answer: A
Explanation:
Explanation
You can use the filename specification option in the Amazon S3 activation to customize the name of the file that is exported. You can use variables such as {campaignId} to include the CRM campaign ID in the file name.
References:https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_amazon_s3.htm&type=5
NEW QUESTION # 71
Northern Trail Outfitters wants to be able to calculate each customer's lifetime value (LTV) but also create breakdowns of the revenue sourced by website, mobile app, and retail channels. How should this use case be addressed in Data Cloud?
- A. Nested segments
- B. Flow orchestration
- C. Metrics on metrics
- D. Streaming data transformations
Answer: D
Explanation:
Explanation
This feature can help Northern Trail Outfitters calculate each customer's lifetime value (LTV) and create breakdowns of the revenue sourced by different channels. Streaming datatransformations allow you to transform and enrich streaming data from different sources using formulas and operators.
References:https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_streaming_data_transform.htm&
NEW QUESTION # 72
Which two common use cases can be addressed with Data Cloud?
- A. Harmonize data from multiple sources with a standardized and extendable data model
- B. Safeguard critical business data by serving as a centralized system for backup and disaster recovery
- C. Understand and act upon customer data to drive more relevant experiences
- D. Govern enterprise data lifecycle through a centralized set of policies and processes
Answer: A,C
Explanation:
Data Cloud can address these two common use cases by providing a platform that allows customers to ingest, map, enrich, and activate data from various sources using the Customer 360 data model, and by enabling customers to create segments, insights, and activations based on their customer data. Reference: [Data Cloud Overview], [Customer 360 Data Model], [Data Activation]
NEW QUESTION # 73
Which three options can be used to build a filter in the Segmentation Canvas?
- A. Calculated Insights
- B. Direct Attributes
- C. Related Attributes
- D. Data Lake Objects
- E. Streaming Insights
Answer: A,B,E
Explanation:
Explanation
A window function is a unique requirement of a Streaming Insight query. It defines the time interval for the query to 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 # 74
Which three Data Model objects do Reconciliation Rules operate across?
- A. Individual
- B. Contact Point Email
- C. Lead
- D. Party Identification
- E. Contact
Answer: A,B,D
Explanation:
Explanation
These are the three Data Model objects that Reconciliation Rules operate across. Reconciliation rules tell Data Cloud how to prioritize values for unified individual profiles when there is conflicting information in the data model. For example, if two profiles have different email addresses, reconciliation rules can determine which one to use for the unified profile. Reconciliation rules can operate on the Individual object, which represents a person or entity, the Party Identification object, which represents an identifier such as a social media handle or a loyalty card number, and the Contact Point Email object, which represents an email address.
References: Identity Resolution Reconciliation Rules
NEW QUESTION # 75
Cloud Kicks has received a Request to be Forgotten by a customer. In which two ways can Data Cloud honor this request?
- A. Use Data Explorer to locate and manually remove the Individual
- B. Add the Individual Id to a headerless file and use the delete from file functionality
- C. Delete the data from the incoming data stream and perform a full refresh
- D. Use the Consent API to suppress processing and delete the individual and related records from source data streams
Answer: B,D
Explanation:
Explanation
These two ways can help Data Cloud honor a request to be forgotten by a customer. The Consent API allows you to set a consent flag for an individual that prevents further processing of their data and deletes their records from source data streams. The delete from file functionality allows you to upload a file with individual IDs that will be deleted from Data Cloud. References:
https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_consent_api.htm&type=5https://help.salesfo
NEW QUESTION # 76
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