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Salesforce Certified Data Cloud Consultant Practice Test - Questions Answers, Page 7

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Question 61

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A new user of Data Cloud only needs to be able to review individual rows of ingested data and validate that it has been modeled successfully to its linked data model object. The user will also need to make changes if required.

What is the minimum permission set needed to accommodate this use case?

Data Cloud for Marketing Specialist
Data Cloud for Marketing Specialist
Data Cloud Admin
Data Cloud Admin
Data Cloud User
Data Cloud User
Data Cloud for Marketing Data Aware Specialist
Data Cloud for Marketing Data Aware Specialist
Suggested answer: C

Explanation:

The Data Cloud User permission set is the minimum permission set needed to accommodate this use case. The Data Cloud User permission set grants access to the Data Explorer feature, which allows the user to review individual rows of ingested data and validate that it has been modeled successfully to its linked data model object. The user can also make changes to the data model object fields, such as adding or removing fields, changing field types, or creating formula fields. The Data Cloud User permission set does not grant access to other Data Cloud features or tasks, such as creating data streams, creating segments, creating activations, or managing users. The other permission sets are either too restrictive or too permissive for this use case. The Data Cloud for Marketing Specialist permission set only grants access to the segmentation and activation features, but not to the Data Explorer feature. The Data Cloud Admin permission set grants access to all Data Cloud features and tasks, including the Data Explorer feature, but it is more than what the user needs. The Data Cloud for Marketing Data Aware Specialist permission set grants access to the Data Explorer feature, but also to the segmentation and activation features, which are not required for this use case.

asked 23/09/2024
Arslan Sheik
37 questions

Question 62

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Which data stream category should be assigned to use the data for time-based operations in segmentation and calculated insights?

Individual
Individual
Transaction
Transaction
Sales Order
Sales Order
Engagement
Engagement
Suggested answer: B

Explanation:

Data streams are the sources of data that are ingested into Data Cloud and mapped to the data model. Data streams have different categories that determine how the data is processed and used in Data Cloud. Transaction data streams are used for time-based operations in segmentation and calculated insights, such as filtering by date range, aggregating by time period, or calculating time-to-event metrics. Transaction data streams are typically used for event data, such as purchases, clicks, or visits, that have a timestamp and a value associated with them.

asked 23/09/2024
Bruce Baynes
27 questions

Question 63

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Which data model subject area should be used for any Organization, Individual, or Member in the Customer 360 data model?

Engagement
Engagement
Membership
Membership
Party
Party
Global Account
Global Account
Suggested answer: C

Explanation:

: The data model subject area that should be used for any Organization, Individual, or Member in the Customer 360 data model is the Party subject area. The Party subject area defines the entities that are involved in any business transaction or relationship, such as customers, prospects, partners, suppliers, etc. The Party subject area contains the following data model objects (DMOs):

Organization:A DMO that represents a legal entity or a business unit, such as a company, a department, a branch, etc.

Individual:A DMO that represents a person, such as a customer, a contact, a user, etc.

Member:A DMO that represents the relationship between an individual and an organization, such as an employee, a customer, a partner, etc.

The other options are not data model subject areas that should be used for any Organization, Individual, or Member in the Customer 360 data model. The Engagement subject area defines the actions that people take, such as clicks, views, purchases, etc. The Membership subject area defines the associations that people have with groups, such as loyalty programs, clubs, communities, etc. The Global Account subject area defines the hierarchical relationships between organizations, such as parent-child, subsidiary, etc.

Data Model Subject Areas

Party Subject Area

Customer 360 Data Model

asked 23/09/2024
Francisco Jesús Cano Hinarejos
53 questions

Question 64

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Which method should a consultant use when performing aggregations in windows of 15 minutes on data collected via the Interaction SDK or Mobile SDK?

Batch transform
Batch transform
Calculated insight
Calculated insight
Streaming insight
Streaming insight
Formula fields
Formula fields
Suggested answer: C

Explanation:

Streaming insight is a method that allows you to perform aggregations in windows of 15 minutes on data collected via the Interaction SDK or Mobile SDK. Streaming insight is a feature that enables you to create real-time metrics and insights based on streaming data from various sources, such as web, mobile, or IoT devices. Streaming insight allows you to define aggregation rules, such as count, sum, average, min, max, or percentile, and apply them to streaming data in time windows of 15 minutes. For example, you can use streaming insight to calculate the number of visitors, the average session duration, or the conversion rate for your website or app in 15-minute intervals. Streaming insight also allows you to visualize and explore the aggregated data in dashboards, charts, or tables.

asked 23/09/2024
Arkadi Popov
40 questions

Question 65

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Northern Trail Outfitters is using the Marketing Cloud Starter Data Bundles to bring Marketing Cloud data into Data Cloud.

What are two of the available datasets in Marketing Cloud Starter Data Bundles?

Choose 2 answers

Personalization
Personalization
MobileConnect
MobileConnect
Loyalty Management
Loyalty Management
MobilePush
MobilePush
Suggested answer: B, D

Explanation:

The Marketing Cloud Starter Data Bundles are predefined data bundles that allow you to easily ingest data from Marketing Cloud into Data Cloud1.The available datasets in Marketing Cloud Starter Data Bundles are Email, MobileConnect, and MobilePush2.These datasets contain engagement events and metrics from different Marketing Cloud channels, such as email, SMS, and push notifications2.By using these datasets, you can enrich your Data Cloud data model with Marketing Cloud data and create segments and activations based on your marketing campaigns and journeys1. The other options are incorrect because they are not available datasets in Marketing Cloud Starter Data Bundles.Option A is incorrect because Personalization is not a dataset, but a feature of Marketing Cloud that allows you to tailor your content and messages to your audience3.Option C is incorrect because Loyalty Management is not a dataset, but a product of Marketing Cloud that allows you to create and manage loyalty programs for your customers4.

asked 23/09/2024
Islam Fadel
32 questions

Question 66

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A customer has a custom Customer Email c object related to the standard Contact object in Salesforce CRM. This custom object stores the email address a Contact that they want to use for activation.

To which data entity is mapped?

Contact
Contact
Contact Point_Email
Contact Point_Email
Custom customer Email__c object
Custom customer Email__c object
Individual
Individual
Suggested answer: B

Explanation:

The Contact Point_Email object is the data entity that represents an email address associated with an individual in Data Cloud. It is part of the Customer 360 Data Model, which is a standardized data model that defines common entities and relationships for customer data. The Contact Point_Email object can be mapped to any custom or standard object that stores email addresses in Salesforce CRM, such as the custom Customer Email__c object. The other options are not the correct data entities to map to because:

A . The Contact object is the data entity that represents a person who is associated with an account that is a customer, partner, or competitor in Salesforce CRM. It is not the data entity that represents an email address in Data Cloud.

C . The custom Customer Email__c object is not a data entity in Data Cloud, but a custom object in Salesforce CRM. It can be mapped to a data entity in Data Cloud, such as the Contact Point_Email object, but it is not a data entity itself.

D . The Individual object is the data entity that represents a unique person in Data Cloud. It is the core entity for managing consent and privacy preferences, and it can be related to one or more contact points, such as email addresses, phone numbers, or social media handles. It is not the data entity that represents an email address in Data Cloud.

asked 23/09/2024
Amy Sukkar
40 questions

Question 67

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During discovery, which feature should a consultant highlight for a customer who has multiple data sources and needs to match and reconcile data about individuals into a single unified profile?

Harmonization
Harmonization
Data Cleansing
Data Cleansing
Data Consolidation
Data Consolidation
Identity Resolution
Identity Resolution
Suggested answer: D

Explanation:

The feature that the consultant should highlight for a customer who has multiple data sources and needs to match and reconcile data about individuals into a single unified profile is D. Identity Resolution. Identity Resolution is the process of identifying, matching, and reconciling data about individuals across different data sources and creating a unified profile that represents a single view of the customer. Identity Resolution uses various methods and rules to determine the best match and reconciliation of data, such as deterministic matching, probabilistic matching, reconciliation rules, and identity graphs. Identity Resolution enables the customer to have a complete and accurate understanding of their customers and their interactions across different channels and touchpoints.

asked 23/09/2024
Wissem M'RAD
37 questions

Question 68

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Cumulus Financial uses Data Cloud to segment banking customers and activate them for direct mail via a Cloud File Storage activation. The company also wants to analyze individuals who have been in the segment within the last 2 years.

Which Data Cloud component allows for this?

Nested segments
Nested segments
Segment exclusion
Segment exclusion
Calculated insights
Calculated insights
Segment membership data model object
Segment membership data model object
Suggested answer: D

Explanation:

The segment membership data model object is a Data Cloud component that allows for analyzing individuals who have been in a segment within a certain time period. The segment membership data model object is a table that stores the information about which individuals belong to which segments and when they were added or removed from the segments. This object can be used to create calculated insights, such as segment size, segment duration, segment overlap, or segment retention, that can help measure the effectiveness of segmentation and activation strategies. The segment membership data model object can also be used to create nested segments or segment exclusions based on the segment membership criteria, such as segment name, segment type, or segment date range. The other options are not correct because they are not Data Cloud components that allow for analyzing individuals who have been in a segment within the last 2 years. Nested segments and segment exclusions are features that allow for creating more complex segments based on existing segments, but they do not provide the historical data about segment membership. Calculated insights are custom metrics or measures that are derived from data model objects or data lake objects, but they do not store the segment membership information by themselves.

asked 23/09/2024
William Dalgo
32 questions

Question 69

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Every day, Northern Trail Outfitters uploads a summary of the last 24 hours of store transactions to a new file in an Amazon S3 bucket, and files older than seven days are automatically deleted. Each file contains a timestamp in a standardized naming convention.

Which two options should a consultant configure when ingesting this data stream?

Choose 2 answers

Ensure that deletion of old files is enabled.
Ensure that deletion of old files is enabled.
Ensure the refresh mode is set to 'Upsert'.
Ensure the refresh mode is set to 'Upsert'.
Ensure the filename contains a wildcard to a accommodate the timestamp.
Ensure the filename contains a wildcard to a accommodate the timestamp.
Ensure the refresh mode is set to 'Full Refresh.''
Ensure the refresh mode is set to 'Full Refresh.''
Suggested answer: B, C

Explanation:

: When ingesting data from an Amazon S3 bucket, the consultant should configure the following options:

The refresh mode should be set to ''Upsert'', which means that new and updated records will be added or updated in Data Cloud, while existing records will be preserved. This ensures that the data is always up to date and consistent with the source.

The filename should contain a wildcard to accommodate the timestamp, which means that the file name pattern should include a variable part that matches the timestamp format. For example, if the file name isstore_transactions_2023-12-18.csv, the wildcard could bestore_transactions_*.csv. This ensures that the ingestion process can identify and process the correct file every day.

The other options are not necessary or relevant for this scenario:

Deletion of old files is a feature of the Amazon S3 bucket, not the Data Cloud ingestion process. Data Cloud does not delete any files from the source, nor does it require the source files to be deleted after ingestion.

Full Refresh is a refresh mode that deletes all existing records in Data Cloud and replaces them with the records from the source file. This is not suitable for this scenario, as it would result in data loss and inconsistency, especially if the source file only contains the summary of the last 24 hours of transactions.

asked 23/09/2024
Maria Lilian Tongson
41 questions

Question 70

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Which solution provides an easy way to ingest Marketing Cloud subscriber profile attributes into Data Cloud on a daily basis?

Automation Studio and Profile file API
Automation Studio and Profile file API
Marketing Cloud Connect API
Marketing Cloud Connect API
Marketing Cloud Data extension Data Stream
Marketing Cloud Data extension Data Stream
Email Studio Starter Data Bundle
Email Studio Starter Data Bundle
Suggested answer: C

Explanation:

The solution that provides an easy way to ingest Marketing Cloud subscriber profile attributes into Data Cloud on a daily basis is the Marketing Cloud Data extension Data Stream. The Marketing Cloud Data extension Data Stream is a feature that allows customers to stream data from Marketing Cloud data extensions to Data Cloud data spaces. Customers can select which data extensions they want to stream, and Data Cloud will automatically create and update the corresponding data model objects (DMOs) in the data space. Customers can also map the data extension fields to the DMO attributes using a user interface or an API. The Marketing Cloud Data extension Data Stream can help customers ingest subscriber profile attributes and other data from Marketing Cloud into Data Cloud without writing any code or setting up any complex integrations.

The other options are not solutions that provide an easy way to ingest Marketing Cloud subscriber profile attributes into Data Cloud on a daily basis. Automation Studio and Profile file API are tools that can be used to export data from Marketing Cloud to external systems, but they require customers to write scripts, configure file transfers, and schedule automations. Marketing Cloud Connect API is an API that can be used to access data from Marketing Cloud in other Salesforce solutions, such as Sales Cloud or Service Cloud, but it does not support streaming data to Data Cloud. Email Studio Starter Data Bundle is a data kit that contains sample data and segments for Email Studio, but it does not contain subscriber profile attributes or stream data to Data Cloud.

Marketing Cloud Data Extension Data Stream

Data Cloud Data Ingestion

[Marketing Cloud Data Extension Data Stream API]

[Marketing Cloud Connect API]

[Email Studio Starter Data Bundle]

asked 23/09/2024
Zafor Iqbal
35 questions
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