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Salesforce Salesforce-Data-Cloud Exam Overview:
| Certification Vendor: | Salesforce |
| Exam Name: | Salesforce Data Cloud Accredited Professional Exam |
| Exam Number: | Salesforce-Data-Cloud |
| Available Languages: | English |
| Exam Format: | Multiple choice, Multiple select |
| Recommended Training: | Trailhead Data Cloud Learning Paths |
| Exam Registration: | Salesforce Credentials Registration |
| Sample Questions: | Salesforce Salesforce-Data-Cloud Sample Questions |
| Exam Way: | Online proctored exam |
| Pre Condition: | No strict prerequisites; recommended familiarity with Salesforce platform and customer data concepts |
| Official Syllabus URL: | https://trailhead.salesforce.com/credentials/data-cloud-accredited-professional |
Salesforce Salesforce-Data-Cloud Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Segmentation and Activation | - Segmentation logic and audience building - Activation to Salesforce and external systems |
| Topic 2: Data Governance and Privacy | - Data privacy and compliance concepts - Security and data access controls |
| Topic 3: Salesforce Data Cloud Fundamentals | - Core concepts and architecture - Data Cloud value and use cases |
| Topic 4: Data Ingestion and Data Modeling | - Data model objects and harmonization - Data sources and ingestion methods |
| Topic 5: Identity Resolution and Unification | - Unified customer profile concepts - Identity resolution rules |
Salesforce Data Cloud Accredited Professional Sample Questions:
1. Northern Trail Outfitters uploads new customer data to an Amazon S3 Bucket on a daily basis to be ingested in Data Cloud. Based on this, a calculated insight is created that shows the total spend per customer in the last
30 days.
In which sequence should each process be run to ensure that freshly imported data is ready and available to use for any segment?
A) Calculated Insight > Refresh Data Stream > Identity Resolution
B) Refresh Data Stream > Identity Resolution > Calculated Insight
C) Identity Resolution > Refresh Data Stream > Calculated Insight
D) Refresh Data Stream > Calculated Insight > Identity Resolution
2. Northern Trail Qutfitters wants to be able to calculate each customer's lifetime value {LTV) but also create breakdowns of the revenue sourced by website, mobile app, and retail channels.
What should a consultant use to address this use case in Data Cloud?
A) Flow Orchestration
B) Metrics on metrics
C) Streaming data transform
D) Nested segments
3. A customer notices that their consolidation rate has recently increased. They contact the consultant to ask why.
What are two likely explanations for the increase?
Choose 2 answers
A) Duplicates have been removed from source system data streams.
B) Identity resolution rules have been removed to reduce the number of matched profiles.
C) Identity resolution rules have been added to the ruleset to increase the number of matchedprofiles.
D) New data sources have been added to Data Cloud that largely overlap with the existing profiles.
4. A customer wants to create segments of users based on their Customer Lifetime Value.
However, the source data that will be brought into Data Cloud does not include that key performance indicator (KPI).
Which sequence of steps should the consultant follow to achieve this requirement?
A) Create Calculated Insight > Ingest Data > Map Data to Data Model> Use in Segmentation
B) Ingest Data > Create Calculated Insight > Map Data to Data Model > Use in Segmentation
C) Create Calculated Insight > Map Data to Data Model> Ingest Data > Use in Segmentation
D) Ingest Data > Map Data to Data Model > Create Calculated Insight > Use in Segmentation
5. What should a user do to pause a segment activation with the intent of using that segment again?
A) Stop the publish schedule.
B) Skip the activation.
C) Deactivate the segment.
D) Delete the segment.
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: B | Question # 3 Answer: C,D | Question # 4 Answer: D | Question # 5 Answer: C |
By Colbert
