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Salesforce Data-Cloud-Consultant Exam Overview:

Certification Vendor:Salesforce
Exam Name:Salesforce Certified Data 360 Consultant (formerly Salesforce Certified Data Cloud Consultant)
Exam Number:Data-Con-101 / Data-Cloud-Consultant
Related Certifications:Salesforce Certified Marketing Cloud Consultant
Salesforce Certified Data Architect
Salesforce Certified Administrator
Passing Score:62% - 70%
Exam Price:USD $200 + applicable taxes
Real Exam Qty:60 (plus up to 5 unscored questions)
Available Languages:English
Exam Duration:105 minutes
Certificate Validity Period:3 years
Exam Format:Multiple-select, Scenario-based questions, Multiple-choice
Recommended Training:Salesforce Trailhead - Data 360 / Data Cloud Learning Path
Exam Registration:Salesforce Webassessor Registration
Sample Questions:Salesforce Data-Cloud-Consultant Sample Questions
Exam Way:Online proctored or onsite at authorized testing centers
Pre Condition:No mandatory prerequisites; recommended: 1–2 years experience in data management, Salesforce implementation, or CDP solutions
Official Syllabus URL:https://help.salesforce.com/s/articleView?id=005298940&language=en_US

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Salesforce Data-Cloud-Consultant Practice Exam (Desktop & Web-Based)

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Salesforce Data-Cloud-Consultant Exam Syllabus Topics:

TopicDetails
Topic 1
  • Data Cloud Setup and Administration: This topic includes applying Data Cloud permissions, permission sets, org-wide settings. It describes and configures data stream types, and data bundles. Moreover, it discusses use cases for data spaces, creating data spaces, managing and administering Data Cloud using reports, dashboards, flows, packaging, data kits, diagnosing and exploring data using Data Explorer, Profile Explorer, and APIs.
Topic 2
  • Data Ingestion and Modeling: This topic covers the different transformation capabilities within Data Cloud. It includes describing processes and considerations for data ingestion from various sources, defining, mapping, and modeling data using best practices aligned with identity resolution. Lastly, it discusses using available tools to inspect and validate ingested and modeled data.
Topic 3
  • Segmentation and Insights: This topic defines basic concepts of segmentation and use cases, identifies scenarios for analyzing segment membership, configuring, refining, and maintaining segments within Data Cloud, and differentiating between calculated and streaming insights.

Salesforce Certified Data 360 Consultant (Data-Con-101) Sample Questions (Q83-Q88):

NEW QUESTION # 83
Which data model subject area defines the revenue or quantity for an opportunity by product family?

Answer: A

Explanation:
Salesforce's Customer 360 Data Model documentation explicitly states that the Sales Order subject defines future revenue or quantity for an opportunity by product family and can roll that information up by territory, management role, or hierarchy. That wording directly maps to option C in this question. The Product subject area describes items that an organization plans to sell or track for service purposes; it does not define opportunity revenue or quantity. Engagement models interactions with parties, such as calls or messages, while Party models people, accounts, and related contact information. Because the question asks specifically about opportunity revenue or quantity organized by product family, Sales Order is the precise subject area defined by the Salesforce data model.


NEW QUESTION # 84
Cumulus Financial segregates its sales CRM data based on Region for its Data Cloud users. Multiple data spaces are configured: a default space and two additional spaces tailored for EMEA and APAC regions.
EME A sales reps who need temporary access to visualize data for both regions say that they cannot visualize APAC dat a. APAC sales reps can visualize the corresponding segmented data.
Which statement describes the cause of this issue?

Answer: B


NEW QUESTION # 85
Northern Trail Outfitters (NTD) creates a calculated insight to computerecency, 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

Answer: A,D

Explanation:
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. References: Create a Marketing Cloud Activation Target; Types of Data Targets in Data Cloud


NEW QUESTION # 86
Cumulus Financial needs to create a composite key on an incoming data source that combines the fields Customer Region and Customer Identifier.
Which formula function should a consultant use to create a composite key when a primary key is not available in a data stream?

Answer: B

Explanation:
Composite Keys in Data Streams: When working with data streams in Salesforce Data Cloud, there may be situations where a primary key is not available. In such cases, creating a composite key from multiple fields ensures unique identification of records.
Formula Functions: Salesforce provides several formula functions to manipulate and combine data fields.
Among them, the CONCAT function is used to combine multiple strings into one.
Creating Composite Keys: To create a composite key using CONCAT, a consultant can combine the values of Customer Region and Customer Identifier into a single unique identifier.
* Example Formula: CONCAT(Customer_Region, Customer_Identifier)
References:
* Salesforce Documentation: Formula Functions
* Salesforce Data Cloud Guide


NEW QUESTION # 87
Northern Trail Outfitters (NTO) wants to send a promotional campaign for customers that have purchased within the past 6 months. The consultant created a segment to meet this requirement.
Now, NTO brings an additional requirement to suppress customers who have made purchases within the last week.
What should the consultant use to remove the recent customers?

Answer: B

Explanation:
Explanation
The consultant should use B. Segmentation exclude rules to remove the recent customers. Segmentation exclude rules are filters that can be applied to a segment to exclude records that meet certain criteria. The consultant can use segmentation exclude rules to exclude customers who have made purchases within the last week from the segment that contains customers who have purchased within the past 6 months. This way, the segment will only include customers who are eligible for the promotional campaign.
The other options are not correct. Option A is incorrect because batch transforms are data processing tasks that can be applied to data streams or data lake objects to modify or enrich the data. Batch transforms are not used for segmentation or activation. Option C is incorrect because related attributes are attributes that are derived from the relationships between data model objects. Related attributes are not used for excluding records from a segment. Option D is incorrect because streaming insights are derived attributes that are calculated at the time of data ingestion. Streaming insights are not used for excluding records from a segment. References: Salesforce Data Cloud Consultant Exam Guide, Segmentation, Segmentation Exclude Rules


NEW QUESTION # 88
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