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Salesforce acknowledges that data is the vital component of modern businesses. Businesses can unify, govern, and engage their data throughout the full customer journey with the help of Salesforce Data Cloud. However, it will take knowledgeable experts to fully utilize this robust platform.
Those with expertise implementing and consulting on enterprise data platforms in a customer-facing capacity, including creating, configuring, and architecting solutions, are most suited for the Salesforce Certified Data Cloud Consultant Credential.
The Data Cloud Consultant helps customers succeed in the long run by meeting their business needs in a manageable and scalable manner. Those who wish to demonstrate their proficiency with Data Cloud ought to work on earning this certification.
A minimum of two years of experience implementing and working with data strategy and modeling, including creating numerous solutions across Salesforce clouds, is required of candidates for the Salesforce Data Cloud Consultant Exam. Experience in development, strategy, business analysis, presales solutioning, or architecture is usually possessed by the target audience.
Candidates for the Salesforce Certified Data Cloud Consultant certification have a thorough understanding of Salesforce technology, with a focus on Data Cloud features and lingo. Additionally, candidates have implemented and positioned data clouds before.
| Content | Description |
|---|---|
| Number of Questions | 60 multiple-choice/multiple-select questions, and up to five non-scored questions |
| Time Allotted | 105 minutes |
| Passing Score | 62% |
| Registration Fee | USD 200 plus applicable taxes as required per local law |
| Retake Fee | USD 100 plus applicable taxes as required per local law |
| Delivery Options | Proctored exam delivered onsite at a testing center or in an online proctored environment |
| References | No hard-copy or online materials may be referenced during the exam |
| Prerequisite | None |
| Section | Description |
|---|---|
| Solution Overview (18%) |
|
| Data Cloud Setup and Administration (12%) |
|
| Data Ingestion and Modeling (20%) |
|
| Identity Resolution (14%) |
|
| Segmentation and Insights (18%) |
|
| Act on Data (18%) |
|
Cumulus Financial is experiencing delays in publishing multiple segments simultaneously. The company wants to avoid reducing the frequency at which segments are published, while retaining the same segments in place today. Which action should a consultant take to alleviate this issue?
A. Enable rapid segment publishing to all to segment to reduce generation time.
B. Reduce the number of segments being published.
C. Increase the Data Cloud segmentation concurrency limit.
D. Adjust the publish schedule start time of each segment to prevent overlapping processes.
Northern Trail Outfitters wants to create a segment with customers that have purchased in the last 24 hours. The segment data must be as up to date as possible. What should the consultant Implement when creating the segment?
A. Use streaming insights for near real-time segmentation results.
B. Use Einstein segmentation optimization to collect data from the last 24 hours.
C. Use rapid segments with a publish interval of 1 hour.
D. Use standard segment with a publish interval of 30 minutes.
Cumulus Financial wants to create a segment of individuals based on transaction history data. This data has been mapped in the data model and is accessible via multiple container paths for segmentation. What happens if the optimal container path for this use case is not selected?
A. Alternate container paths will be suggested before the segment is published.
B. The resulting segment may be smaller or larger than expected.
C. Data Cloud segmentation will automatically select the optimal container path.
D. The resulting segment will not be generated.
How does Data Cloud ensure data privacy and security?
A. By encrypting data at rest and in transit
B. By enforcing and controlling consent references
C. By securely storing data in an offsite server
D. BY limiting data access to authorized admins
Northern Trail Outfitters has the following customer data to ingest into Data Cloud and use for segmentation. 1. Propensity to purchase 2. Has active membership 3. Work email address Which data types should the consultant use when ingesting this data?
A. Number, Text, URL
B. Percent, Boolean, Email
C. Number, Boolean, Text
D. Percent, Number, Email
If a data source does not have a field that can be designated as a primary key, what shouldthe consultant do?
A. Use the default primary key recommended by Data Cloud.
B. Create a composite key by combining two or more source fields through a formula field.
C. Select a field as a primary key and then add a key qualifier.
D. Remove duplicates from the data source and then select a primary key.
A customer has two Data Cloud orgs. A new configuration has been completed and testedfor an Amazon S3 data stream and its mappings in one of the Data Cloud orgs. What is recommended to package and promote this configuration to the customer's secondorg?
A. Use the Metadata API.
B. Use the Salesforce CRM connector.
C. Create a data kit.
D. Package as an AppExchange application.
A consultant at Northern Trail Outfitters is attempting to ingest a field from the Contactobject in Salesforce CRM that contains both yyyy-mm-dd and yyyy-mm-dd hh:mm:ssvalues. The target field is set to Date datatype.Which statement is true in this situation?
A. The target field will throw an error and store null values.
B. The target field will be able to hold both types of values.
C. The target field will only hold the time part and ignore the date part.
D. The target field will only hold the date part and ignore the time part.
A segment fails to refresh with the error "Segment references too many data lake objects(DLOS)".Which two troubleshooting tips should help remedy this issue?Choose 2 answers
A. Split the segment into smaller segments.
B. Use calculated insights in order to reduce the complexity of the segmentation query.
C. Refine segmentation criteria to limit up to five custom data model objects (DMOs).
D. Space out the segment schedules to reduce DLO load.
What is the primary purpose of Data Cloud?
A. Providing a golden record of a customer
B. Managing sales cycles and opportunities
C. Analyzing marketing data results
D. Integrating and unifying customer data
Which two dependencies need to be removed prior to disconnecting a data source?Choose 2 answers
A. Activation target
B. Segment
C. Activation
D. Data stream
A consultant is ingesting a list of employees from their human resources database that theywant to segment on.Which data stream category should the consultant choose when ingesting this data?
A. Profile Data
B. Contact Data
C. Other Data
D. Engagement Data
A company is seeking advice from a consultant on how to address the challenge of havingmultiple leads and contacts in Salesforce that share the same email address. Theconsultant wants to provide a detailed and comprehensive explanation on how Data Cloudcan be leveraged to effectively solve this issue.What should the consultant highlight to address this company's business challenge?
A. Data Bundles
B. Calculated Insights
C. Identity Resolution
D. Identity Resolution
Northern Trail Outfitters (NTO) is getting ready to start ingesting its CRM data into Data Cloud.While setting up the connector, which type of refresh should NTO expect when the datastream is deployed for the first time?
A. Incremental
B. Manual refresh
C. Partial refresh
D. Full refresh
What are the two minimum requirements needed when using the Visual Insights Builder tocreate a calculated insight?Choose 2 answers
A. At least one measure
B. At least one dimension
C. At least two objects to Join
D. A WHERE clause
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TESTED 28 October 2023
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