Northern Trail Outfitters (NTD) creates a calculated insight to compute recency, frequency,
monetary {RFM) scores on its unified individuals. NTO then creates a segment based on these scores
that it activates to a Marketing Cloud activation target.
Which two actions are required when configuring the activation?
Choose 2 answers
BC
Explanation:
To configure an activation to a Marketing Cloud activation target, you need to choose a segment and
select contact points. Choosing a segment allows you to specify which unified individuals you want to
activate. Selecting contact points allows you to map the attributes from the segment to the fields in
the Marketing Cloud data extension. You do not need to add additional attributes or add the
calculated insight in the activation, as these are already part of the segment
definition. Reference:
Create a Marketing Cloud Activation Target
;
Types of Data Targets in Data
Cloud
A customer is concerned that the consolidation rate displayed in the identity resolution is
quite low compared to their initial estimations.
Which configuration change should a consultant consider in order to increase the consolidation rate?
B
Explanation:
The consolidation rate is the amount by which source profiles are combined to produce unified
profiles, calculated as 1 - (number of unified individuals / number of source individuals). For
example, if you ingest 100 source records and create 80 unified profiles, your consolidation rate is
20%. To increase the consolidation rate, you need to increase the number of matches between
source profiles, which can be done by adding more match rules. Match rules define the criteria for
matching source profiles based on their attributes. By increasing the number of match rules, you can
increase the chances of finding matches between source profiles and thus increase the consolidation
rate. On the other hand, changing reconciliation rules, including additional attributes, or reducing
the number of match rules can decrease the consolidation rate, as they can either reduce the
number of matches or increase the number of unified profiles. Reference:
Identity Resolution
Calculated Insight: Consolidation Rates for Unified Profiles
,
Identity Resolution Ruleset Processing
Results
,
Configure Identity Resolution Rulesets
A customer is trying to activate data from Data Cloud to an Amazon S3 Cloud File Storage
Bucket.
Which authentication type should the consultant recommend to connect to the S3 bucket from Data
Cloud?
D
Explanation:
To use the Amazon S3 Storage Connector in Data Cloud, the consultant needs to provide the S3
bucket name, region, and access key and secret key for authentication. The access key and secret key
are generated by AWS and can be managed in the IAM console. The other options are not supported
by the S3 Storage Connector or by Data Cloud. Reference:
Amazon S3 Storage Connector -
Salesforce
,
How to Use the Amazon S3 Storage Connector in Data Cloud | Salesforce Developers Blog
Learn more
1help.salesforce.com2developer.salesforce.com
A consultant has an activation that is set to publish every 12 hours, but has discovered that
updates to the data prior to activation are delayed by up to 24 hours.
Which two areas should a consultant review to troubleshoot this issue?
Choose 2 answers
B C
Explanation:
The correct answer is B and C because calculated insights and segments are both dependent on the
data ingestion process. Calculated insights are derived from the data model objects and segments
are subsets of data model objects that meet certain criteria. Therefore, both of them need to be
updated after the data is ingested to reflect the latest changes. Data transformations are optional
steps that can be applied to the data streams before they are mapped to the data model objects, so
they are not relevant to the issue. Reviewing calculated insights to make sure they’re run after the
segments are refreshed (option D) is also incorrect because calculated insights are independent of
segments and do not need to be refreshed after them. Reference:
Salesforce Data Cloud Consultant
Exam Guide
,
Data Ingestion and Modeling
,
Calculated Insights
,
Segments
Northern Trail Outfitters wants to use some of its Marketing Cloud data in Data Cloud.
Which engagement channel data will require custom integration?
C
Explanation:
CloudPage is a web page that can be personalized and hosted by Marketing Cloud. It is not one of the
standard engagement channels that Data Cloud supports out of the box. To use CloudPage data in
Data Cloud, a custom integration is required. The other engagement channels (SMS, email, and
mobile push) are supported by Data Cloud and can be integrated using the Marketing Cloud
Connector or the Marketing Cloud API. Reference:
Data Cloud Overview
,
Marketing Cloud
Connector
,
Marketing Cloud API
Which permission setting should a consultant check if the custom Salesforce CRM object is
not available in New Data Stream configuration?
B
Explanation:
To create a new data stream from a custom Salesforce CRM object, the consultant needs to confirm
that the View All object permission is enabled in the source Salesforce CRM org.
This permission
allows the user to view all records associated with the object, regardless of sharing
settings1
.
Without this permission, the custom object will not be available in the New Data Stream
configuration2
. Reference:
Manage Access with Data Cloud Permission Sets
Object Permissions
Which two common use cases can be addressed with Data Cloud?
Choose 2 answers
A, C
Explanation:
Data Cloud is a data platform that can help customers connect, prepare, harmonize, unify, query,
analyze, and act on their data across various Salesforce and external sources. Some of the common
use cases that can be addressed with Data Cloud are:
Understand and act upon customer data to drive more relevant experiences. Data Cloud can help
customers gain a 360-degree view of their customers by unifying data from different sources and
resolving identities across channels. Data Cloud can also help customers segment their audiences,
create personalized experiences, and activate data in any channel using insights and AI.
Harmonize data from multiple sources with a standardized and extendable data model. Data Cloud
can help customers transform and cleanse their data before using it, and map it to a common data
model that can be extended and customized. Data Cloud can also help customers create calculated
insights and related attributes to enrich their data and optimize identity resolution.
The other two options are not common use cases for Data Cloud. Data Cloud does not provide data
governance or backup and disaster recovery features, as these are typically handled by other
Salesforce or external solutions.
Reference:
Learn How Data Cloud Works
About Salesforce Data Cloud
Discover Use Cases for the Platform
Understand Common Data Analysis Use Cases
Where is value suggestion for attributes in segmentation enabled when creating the DMO?
C
Explanation:
Value suggestion for attributes in segmentation is a feature that allows you to see and select the
possible values for a text field when creating segment filters. You can enable or disable this feature
for each data model object (DMO) field in the DMO record home. Value suggestion can be enabled
for up to 500 attributes for your entire org. It can take up to 24 hours for suggested values to appear.
To use value suggestion when creating segment filters, you need to drag the attribute onto the
canvas and start typing in the Value field for an attribute. You can also select multiple values for some
operators. Value suggestion is not available for attributes with more than 255 characters or for
relationships that are one-to-many (1:N). Reference:
Use Value Suggestions in
Segmentation
,
Considerations for Selecting Related Attributes
A Data Cloud customer wants to adjust their identity resolution rules to increase their
accuracy of matches. Rather than matching on email address, they want to review a rule that joins
their CRM Contacts with their Marketing Contacts, where both use the CRM ID as their primary key.
Which two steps should the consultant take to address this new use case?
Choose 2 answers
A, D
Explanation:
To address this new use case, the consultant should map the primary key from the two systems to
Party Identification, using CRM ID as the identification name for both, and create a matching rule
based on party identification that matches on CRM ID as the party identification name. This way, the
consultant can ensure that the CRM Contacts and Marketing Contacts are matched based on their
CRM ID, which is a unique identifier for each individual. By using Party Identification, the consultant
can also leverage the benefits of this attribute, such as being able to match across different entities
and sources, and being able to handle multiple values for the same individual. The other options are
incorrect because they either do not use the CRM ID as the primary key, or they do not use Party
Identification as the attribute type. Reference:
Configure Identity Resolution Rulesets
,
Identity
Resolution Match Rules
,
Data Cloud Identity Resolution Ruleset
,
Data Cloud Identity Resolution
Config Input
Which consideration related to the way Data Cloud ingests CRM data is true?
D
Explanation:
The correct answer is D. The CRM Connector allows standard fields to stream into Data Cloud in real
time. This means that any changes to the standard fields in the CRM data source are reflected in Data
Cloud almost instantly, without waiting for the next scheduled synchronization.
This feature enables
Data Cloud to have the most up-to-date and accurate CRM data for segmentation and activation1
.
The other options are incorrect for the following reasons:
A .
CRM data can be manually refreshed at any time by clicking the Refresh button on the data
stream detail page2
. This option is false.
B .
The CRM Connector’s synchronization times can be customized to up to 60-minute intervals, not
15-minute intervals3
. This option is false.
C .
Formula fields are not refreshed at regular sync intervals, but only at the next full refresh4
. A full
refresh is a complete data ingestion process that occurs once every 24 hours or when manually
triggered. This option is false.
Reference:
:
Connect and Ingest Data in Data Cloud
article on Salesforce Help
:
Data Sources in Data Cloud
unit on Trailhead
:
Data Cloud for Admins
module on Trailhead
: [Formula Fields in Data Cloud] unit on Trailhead
: [Data Streams in Data Cloud] unit on Trailhead
What does the Source Sequence reconciliation rule do in identity resolution?
D
Explanation:
: The Source Sequence reconciliation rule sets the priority of specific data sources when building
attributes in a unified profile, such as a first or last name. This rule allows you to define which data
source should be used as the primary source of truth for each attribute, and which data sources
should be used as fallbacks in case the primary source is missing or invalid. For example, you can set
the Source Sequence rule to use data from Salesforce CRM as the first priority, data from Marketing
Cloud as the second priority, and data from Google Analytics as the third priority for the first name
attribute. This way, the unified profile will use the first name value from Salesforce CRM if it exists,
otherwise it will use the value from Marketing Cloud, and so on. This rule helps you to ensure the
accuracy and consistency of the unified profile attributes across different data
sources. Reference:
Salesforce Data Cloud Consultant Exam Guide
,
Identity Resolution
,
Reconciliation
Rules
Which two dependencies prevent a data stream from being deleted?
Choose 2 answers
B C
Explanation:
To delete a data stream in Data Cloud, the underlying data lake object (DLO) must not have any
dependencies or references to other objects or processes.
The following two dependencies prevent a
data stream from being deleted1
:
Data transform: This is a process that transforms the ingested data into a standardized format and
structure for the data model. A data transform can use one or more DLOs as input or output.
If a DLO
is used in a data transform, it cannot be deleted until the data transform is removed or modified2
.
Data model object: This is an object that represents a type of entity or relationship in the data model.
A data model object can be mapped to one or more DLOs to define its attributes and values.
If a DLO
is mapped to a data model object, it cannot be deleted until the mapping is removed or changed3
.
Reference:
:
Delete a Data Stream
article on Salesforce Help
: [Data Transforms in Data Cloud] unit on Trailhead
: [Data Model in Data Cloud] unit on Trailhead
What should a user do to pause a segment activation with the intent of using that segment
again?
A
Explanation:
The correct answer is A. Deactivate the segment. If a segment is no longer needed, it can be
deactivated through Data Cloud and applies to all chosen targets.
A deactivated segment no longer
publishes, but it can be reactivated at any time1
. This option allows the user to pause a segment
activation with the intent of using that segment again.
The other options are incorrect for the following reasons:
B . Delete the segment.
This option permanently removes the segment from Data Cloud and cannot
be undone2
. This option does not allow the user to use the segment again.
C . Skip the activation.
This option skips the current activation cycle for the segment, but does not
affect the future activation cycles3
. This option does not pause the segment activation indefinitely.
D . Stop the publish schedule.
This option stops the segment from publishing to the chosen targets,
but does not deactivate the segment4
. This option does not pause the segment activation
completely.
Reference:
:
Deactivated Segment
article on Salesforce Help
:
Delete a Segment
article on Salesforce Help
:
Skip an Activation
article on Salesforce Help
:
Stop a Publish Schedule
article on Salesforce Help
When creating a segment on an individual, what is the result of using two separate
containers linked by an AND as shown below?
GoodsProduct | Count | At Least | 1
Color | Is Equal To | red
AND
GoodsProduct | Count | At Least | 1
PrimaryProductCategory | Is Equal To | shoes
A
Explanation:
: When creating a segment on an individual, using two separate containers linked by an AND means
that the individual must satisfy both the conditions in the containers. In this case, the individual must
have purchased at least one product with the color attribute equal to ‘red’ and at least one product
with the primary product category attribute equal to ‘shoes’. The products do not have to be the
same or purchased in the same transaction. Therefore, the correct answer is A.
The other options are incorrect because they imply different logical operators or conditions. Option B
implies that the individual must have purchased a single product that has both the color attribute
equal to ‘red’ and the primary product category attribute equal to ‘shoes’. Option C implies that the
individual must have purchased only one product that has both the color attribute equal to ‘red’ and
the primary product category attribute equal to ‘shoes’ and no other products. Option D implies that
the individual must have purchased either one product with the color attribute equal to ‘red’ or one
product with the primary product category attribute equal to ‘shoes’ or both, which is equivalent to
using an OR operator instead of an AND operator.
Reference:
Create a Container for Segmentation
Create a Segment in Data Cloud
Navigate Data Cloud Segmentation
What should an organization use to stream inventory levels from an inventory management
system into Data Cloud in a fast and scalable, near-real-time way?
C
Explanation:
The Ingestion API is a RESTful API that allows you to stream data from any source into Data Cloud in
a fast and scalable way. You can use the Ingestion API to send data from your inventory management
system into Data Cloud as JSON objects, and then use Data Cloud to create data models, segments,
and insights based on your inventory data. The Ingestion API supports both batch and streaming
modes, and can handle up to 100,000 records per second. The Ingestion API also provides features
such as data validation, encryption, compression, and retry mechanisms to ensure data quality and
security. Reference:
Ingestion API Developer Guide
,
Ingest Data into Data Cloud