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Salesforce Data-Cloud-Consultant Exam Overview:
| Certification Vendor: | Salesforce |
|---|---|
| Exam Name: | Salesforce Certified Data Cloud Consultant Exam |
| Exam Number: | Data-Cloud-Consultant |
| Available Languages: | English |
| Recommended Training: | Salesforce Trailhead Data Cloud Learning |
| Exam Registration: | Salesforce Credentials |
| Sample Questions: | DOWNLOAD DEMO |
| Official Syllabus URL: | https://trailhead.salesforce.com/credentials |
Salesforce Data-Cloud-Consultant Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Data Cloud Fundamentals | - Data model and architecture overview - Core concepts of Salesforce Data Cloud |
| Topic 2: Data Ingestion and Data Modeling | - Data mapping and transformation - Data spaces and object modeling concepts - Data ingestion methods and connectors |
| Topic 3: Segmentation and Activation | - Segment creation and audience building - Activation to downstream systems |
| Topic 4: Data Cloud Implementation and Use Cases | - Common business use cases and solutions - Integration with Salesforce ecosystem |
| Topic 5: Data Governance and Compliance | - Data access controls and permissions - Data privacy and compliance considerations |
| Topic 6: Identity Resolution | - Identity resolution rules and matching strategies - Profile unification and resolution process |
Salesforce Data-Cloud-Consultant Exam Questions Answered
The Data-Cloud-Consultant exam leads to the Salesforce Certified Data Cloud Consultant certification from Salesforce. The exam validates the knowledge and skills expected of candidates preparing for Salesforce Certified Data 360 Consultant (Data-Con-101).
You can register through the official channels listed below:
The official training options include:
After reviewing the recommended training, reinforce what you learned with Actual4dump's 116 practice questions for Data-Cloud-Consultant.
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The current Data-Cloud-Consultant outline is organized into 6 top-level domains. The first listed areas include:
- Data Governance and Compliance
- Segmentation and Activation
- Data Cloud Fundamentals
Review the Exam Topics section above for the complete outline and any nested subtopics.
Salesforce Certified Data 360 Consultant (Data-Con-101) Sample Questions:
Question 1
A Data 360 Consultant is working with data that is clean and organized. However, the various schemas refer to a person by multiple names-such as user, contact, and subscriber-and need a standard mapping.
Which term describes the process of mapping these different schema points into a standard data model?
A. Harmonize
B. Unify
C. Segment
D. Transform
Question 2
What is a reason to create a formula when ingesting a data stream?
A. To add a unique external identifier to an existing ruleset
B. To transform a datetime field into a date field for use in data mapping
C. To remove duplicate rows of data from the data stream
D. To concatenate files so they are ingested in the correct sequence
Question 3
A Data 360 Consultant needs to build a model on Einstein Studio to predict the time- to- close of an opportunity brought into Data 360 from CRM. Based on the supported model types, which statement is true?
A. The consultant should use a Multiclass Classification model to bucket the time-to-close into specifications.
B. The consultant should use a Binary Classification model to determine if the time-to-close is long or short.
C. The consultant should use a Multiclass Classification model because the outcome is represented as text data.
D. The consultant should use a Regression model because the target outcome is a numeric measure.
Question 4
When setting up file federation for a data lake on Azure Blob Storage, what is the role of the manifest file?
A. It provides the PGP public key required to decrypt the federated data files.
B. It defines metadata and paths to identify specific files for the data stream and track updates.
C. It is used to manually map source fields to the Cloud Information Model.
D. It reduces the file size of the source data before Data 360 attempts to read it.
Question 5
A lead architect needs to build a real-time Customer Health Dashboard in a custom web portal that displays a unified customer ' s recent purchase history (Engagement data) and their calculated loyalty score. Which API strategy is most appropriate to meet this requirement?
A. Use the Profile API because it is optimized for high-speed retrieval of unified profile attributes and calculated insights.
B. Use the Ingestion API to push the dashboard requirements into a data stream to trigger a webhook.
C. Use the Metadata API to retrieve the schema of the unified profile, then use a standard REST GET call on the Individual object.
D. Use the Query API to send an SQL/SOQL-based request to join data to retrieve a comprehensive view.
Solutions:
| Question 1 Answer: A | Question 2 Answer: B | Question 3 Answer: D | Question 4 Answer: B | Question 5 Answer: A |
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