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Salesforce-Data-Cloud Exam Study Guide Free Practice Test LAST UPDATED DATE Dec 16, 2024 [Q37-Q62]

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Salesforce-Data-Cloud Exam Study Guide Free Practice Test LAST UPDATED DATE Dec 16, 2024

The New Salesforce-Data-Cloud 2024 Updated Verified Study Guides & Best Courses

NEW QUESTION # 37
How many calculated insights can be created per tenant?

  • A. 0
  • B. 1
  • C. 2
  • D. 3

Answer: C

Explanation:
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. References: Calculated Insights


NEW QUESTION # 38
Which match criteria is only available as custom in order to perform an exact match in Identity Resolution?

  • A. Phone Number
  • B. Email Address
  • C. Government Id
  • D. Party Identification Id

Answer: D

Explanation:
Explanation
Party Identification Id is the only match criteria that is only available as custom in order to perform an exact match in Identity Resolution. Party Identification Id is a unique identifier for each Party Identification record in the data model. It is not one of the standard match criteria that Data Cloud provides out of the box, so it has to be created as a custom match criteria. Custom match criteria allow you to use any field from the data model as a match rule. References: Create Custom Match Criteria


NEW QUESTION # 39
Which of the following are characteristics of Formulas? (Choose 2)

  • A. Ease of use, self-service
  • B. Simple logic on a row-based operation
  • C. Highly reusable content
  • D. Attribute updated regularly

Answer: A,B

Explanation:
Explanation
These are two characteristics of Formulas. Formulas are a feature that allows you to create custom fields in the data model using simple logic on a row-based operation. For example, you can use a formula to create a field that concatenates the first name and last name of an individual. Formulas are easy to use and self-service, meaning that you can create them without coding or complex queries. You can use formulas to enrich your data and create more meaningful segments and insights. References: Formulas


NEW QUESTION # 40
What are two benefits Data Cloud provides a company in relation to managing customer data?

  • A. Data Governance
  • B. Unified Identity Resolution
  • C. Data Marketplace
  • D. Data Harmonization

Answer: B,D

Explanation:
Explanation
These two benefits Data Cloud provides a company in relation to managing customer data. Unified Identity Resolution allows a company to link data from different sources and create a single view of each customer.
Data Harmonization allows a company to standardize and enrich data from different sources and improve data quality and usability. References:
https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_identity_resolution.htm&type=5https://help.


NEW QUESTION # 41
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. Streaming data transformations
  • C. Flow orchestration
  • D. Metrics on metrics

Answer: B

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 # 42
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. Streaming Insight
  • B. Segment
  • C. Streaming Data Transformation
  • D. Calculated Insight

Answer: A

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 # 43
What can be customized in the Data Cloud canonical model?

  • A. Objects, Fields, and Relationships
  • B. Objects and Fields
  • C. Fields
  • D. Objects

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 # 44
How many Metrics can be present in 1 segment container?

  • A. 0
  • B. 1
  • C. 2
  • D. 3

Answer: D

Explanation:
Only one metric can be present in one segment container. A segment container is a logical grouping of segments that share the same metricand 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. References: Segment Containers


NEW QUESTION # 45
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. Theyprovide 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 # 46
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 # 47
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. Import the file into Amazon S3 and ingest with the Cloud Storage Connector
  • C. Manually import the file using the Data Import Wizard
  • D. Utilize Salesforce's Dataloader application to perform a bulk upload from a desktop

Answer: A,B

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=5
https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_amazon_s3.htm&type=5


NEW QUESTION # 48
What component of Calculated Insights can be included as attribute data in an activation?

  • A. Metrics and Dimensions
  • B. Dimensions
  • C. Filters
  • D. Metrics

Answer: B

Explanation:
Dimensions are attributes that can be used to group or filter data in calculated insights. You can include dimensions as attribute data in an activation by selecting them from the available attributes list.References:https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_calculated_insights.htm&typ


NEW QUESTION # 49
A segment fails to refresh with the error "Segment references too many Data Lake Objects (DLOs)". What are two remedies for this issue?

  • A. Split the segment into smaller segments
  • B. Refine segmentation criteria to limit up to 5 custom DMOs
  • C. Space out the segment schedules to reduce Data Lake Object load
  • D. Use Calculated Insights in order to reduce the complexity of the segmentation query

Answer: A,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. Reference: https://help.salesforce.com/s/articleView?


NEW QUESTION # 50
What is a DMO called if it inherits the name, shape, and semantics of the reference object?

  • A. Custom DMO
  • B. Data Lake Object (DLO)
  • C. Standard DMO
  • D. Data Source Object (DSO)

Answer: C

Explanation:
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 fieldsand relationships as the reference object, but you can add custom fields or relationships to it if needed. References: Data Model Objects


NEW QUESTION # 51
Which two objects or fields are supported for ingestion using the Salesforce CRM connector?

  • A. Standard Objects
  • B. Standard Big Objects
  • C. Custom Big Objects
  • D. Custom Objects

Answer: A,D

Explanation:
The Salesforce CRM connector supports ingestion of standard objects and custom objects from Salesforce CRM. Standard objects are predefined objects that are included with SalesforceCRM, such as Account, Contact, Lead, etc. Custom objects are objects that customers can create to store information that is specific to their organization or industry. References: [Salesforce CRM Connector], [Standard Objects], [Custom Objects]


NEW QUESTION # 52
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 # 53
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:
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 # 54
Cloud Kicks has received a Request to be Forgotten by a customer. In which two ways can Data Cloud honor this request?

  • A. Add the Individual Id to a headerless file and use the delete from file functionality
  • B. Delete the data from the incoming data stream and perform a full refresh
  • C. Use Data Explorer to locate and manually remove the Individual
  • D. Use the Consent API to suppress processing and delete the individual and related records from source data streams

Answer: A,D

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. Reference: https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_consent_api.htm&type=5 https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_delete_from_file.htm&type=5


NEW QUESTION # 55
Which of the followingcannotbe used in Segmentation? (Choose 2)

  • A. Numeric Measures
  • B. Text Measures
  • C. Aggregate Functions
  • D. Date Time Measures

Answer: B,D

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 # 56
Which three actions can be applied to a previously created segment?

  • A. Inactivate
  • B. Reactivate
  • C. Delete
  • D. Copy
  • E. Export

Answer: C,D,E

Explanation:
These three actions can be applied to a previously 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. Reference: https://help.salesforce.com/s/articleView?id=sf.c360_a_segmentation_actions.htm&type=5


NEW QUESTION # 57
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. Streaming Insight
  • B. Segment
  • C. Streaming Data Transformation
  • D. Calculated Insight

Answer: A

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-timestreams using window functions and aggregation functions.
References:https://help.salesforce.com/s/articleView?id=sf.c360_a_streaming_insights.htm&type=5


NEW QUESTION # 58
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. Refresh Data Stream > Calculated Insight > Identity Resolution
  • B. Identity Resolution > Calculated Insight > Refresh Data Stream
  • C. Refresh Data Stream > Identity Resolution > Calculated Insight
  • D. Calculated Insight > Identity Resolution > Refresh Data Stream

Answer: C

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 # 59
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:
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 # 60
Cloud Kicks has received a Request to be Forgotten by a customer. In which two ways can Data Cloud honor this request?

  • A. Add the Individual Id to a headerless file and use the delete from file functionality
  • B. Delete the data from the incoming data stream and perform a full refresh
  • C. Use Data Explorer to locate and manually remove the Individual
  • D. Use the Consent API to suppress processing and delete the individual and related records from source data streams

Answer: A,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 # 61
What is allowed when editing a Calculated Insight?

  • A. Removing existing dimensions
  • B. Adding new measures
  • C. Removing existing measures
  • D. Adding new dimensions

Answer: B

Explanation:
Explanation
You can add new measures or dimensions to a Calculated Insight by selecting them from the available attributes list


NEW QUESTION # 62
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