Exam details
Content: 60 multiple-choice/multiple-select questions, and up to five non-scored questions
Time allotted to complete the exam: 105 minutes
Passing score: 62%
Registration fee: USD 200 plus applicable taxes as required per local law; JPY 30,000
Retake fee: USD 100 plus applicable taxes as required per local law; JPY 30,000
Prerequisite: None
About this certification
Candidates for the Salesforce Data Cloud Consultant exam should have two or more years experience implementing and working with data strategy and data modeling, including building multiple solutions across Salesforce clouds. The target audience typically has experience in development, strategy, business analysis, presales solutioning, or architecture.
Exam details
Content: 60 multiple-choice/multiple-select questions, and up to five non-scored questions
Time allotted to complete the exam: 105 minutes
Passing score: 62%
Registration fee: USD 200 plus applicable taxes as required per local law; JPY 30,000
Retake fee: USD 100 plus applicable taxes as required per local law; JPY 30,000
Prerequisite: None
Exam Outline
The Salesforce Data Cloud Consultant exam measures a candidate’s knowledge and skills related to the following objectives. Candidates should have knowledge and expertise in each of the areas below.
Data Cloud Overview: 18%
Describe Data Cloud’s function, key terminology, and business value.
Identify typical use cases for Data Cloud.
Articulate how Data Cloud works and its dependencies.
Describe and apply the principles of data ethics.
Data Cloud Setup and Administration: 12%
Apply Data Cloud permissions, permission sets, and org-wide settings.
Describe and configure the available data stream types and data bundles.
Identify use cases for data spaces and create data spaces based on requirements.
Manage and administer Data Cloud using reports, dashboards, flows, packaging, and data kits.
Diagnose and explore data using Data Explorer, Profile Explorer, and APIs.
Data Ingestion and Modeling: 20%
Identify the different transformation capabilities within Data Cloud.
Describe processes and considerations for data ingestion from different sources into Data Cloud.
Define, map, and model data using best practices and aligning to requirements for identity resolution.
Use available tools to inspect and validate ingested and modeled data.
Identity Resolution: 14%
Describe matching and how its rule sets are applied.
Reconcile data and describe how its rule sets are applied.
Describe the results of identify resolution and use cases.
Segmentation and Insights: 18%
Define basic concepts of segmentation and use cases.
Identify scenarios for analyzing segment membership.
Configure, refine, and maintain segments within Data Cloud.
Identify and differentiate between calculated and streaming insights.
Act on Data: 18%
Define activations and their basic use cases.
Use attributes and related attributes.
Identify and analyze timing dependencies affecting the Data Cloud lifecycle.
Troubleshoot common problems with activations including accepted/rejected counts, errors, and not seeing related attributes.
Use data actions and identify their requirements and intended use cases.
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Sample Question and Answers
QUESTION 1
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
A. Add additional attributes.
B. Choose a segment.
C. Select contact points.
D. Add the calculated insight in the activation.
Answer: B,C
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
QUESTION 2
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?
A. Change reconciliation rules to Most Occurring.
B. Increase the number of matching rules.
C. Include additional attributes in the existing matching rules.
D. Reduce the number of matching rules.
Answer: 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
QUESTION 3
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?
A. Use an S3 Private Key Certificate.
B. Use an S3 Encrypted Username and Password.
C. Use a JWT Token generated on S3.
D. Use an S3 Access Key and Secret Key.
Answer: 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
QUESTION 4
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
A. Review data transformations to ensure they’re run after calculated insights.
B. Review calculated insights to make sure they’re run before segments are refreshed.
C. Review segments to ensure they’re refreshed after the data is ingested.
D. Review calculated insights to make sure they’re run after the segments are refreshed.
Answer: 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 theyre 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
QUESTION 5
Northern Trail Outfitters wants to use some of its Marketing Cloud data in Data Cloud.
Which engagement channel data will require custom integration?
A. SMS
B. Email
C. CloudPage
D. Mobile push
Answer: 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
QUESTION 6
Which permission setting should a consultant check if the custom Salesforce CRM object is
not available in New Data Stream configuration?
A. Confirm the Create object permission is enabled in the Data Cloud org.
B. Confirm the View All object permission is enabled in the source Salesforce CRM org.
C. Confirm the Ingest Object permission is enabled in the Salesforce CRM org.
D. Confirm that the Modify Object permission is enabled in the Data Cloud org.
Answer: 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
