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Salesforce Data-Cloud-Consultant Exam Syllabus Topics:

SectionWeightObjectives
Data Ingestion15%- Configure batch data ingestion
- Troubleshoot ingestion issues
- Configure data sync and refresh schedules
- Configure streaming data ingestion
- Set up and manage data connectors
Data Sharing and Security8%- Implement row-level security
- Understand data governance requirements
- Manage user access and permissions
- Configure data sharing settings
Data Model Setup and Configuration15%- Map source data to harmonized data model
- Describe Harmonized Data Model concepts
- Set up and configure Data Lake objects
- Understand data types and field mapping
- Configure custom objects, fields, and relationships
Calculated Insights8%- Publish insights to Data Cloud
- Use formulas and functions in calculations
- Define metrics and measurements
- Create and configure calculated insights
Data Cloud Overview and Licensing7%- Explain licensing model and capacity
- Describe Data Cloud setup and configuration
- Describe the business value of Data Cloud
Data Cloud Monitoring and Troubleshooting22%- Analyze identity resolution results
- Debug common configuration errors
- Monitor data ingestion and sync status
- Manage data retention and cleanup
- Use Data Cloud analytics and reports
- Troubleshoot data quality issues
Data Actions8%- Create and manage data bundles
- Configure data actions for activation
- Configure data sync to external systems
- Set up segmentation and target audiences
Identity Resolution and Data Unification17%- Configure identity resolution rules
- Configure contact and account matching
- Understand unified records creation
- Configure match rules and strategies
- Manage data overlap and deduplication

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Salesforce Certified Data 360 Consultant (Data-Con-101) Sample Questions (Q48-Q53):

NEW QUESTION # 48
Northern Trail Outfitters wants to use some of its Marketing Cloud data in Data Cloud.
Which engagement channel data will require custom integration?

Answer: D

Explanation:
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 integratedusing the Marketing Cloud Connector or the Marketing Cloud API. References: Data Cloud Overview, Marketing Cloud Connector, Marketing Cloud API


NEW QUESTION # 49
Which data stream category should be assigned to use the data for time-based operations in segmentation and calculated insights?

Answer: C

Explanation:
Data streams are the sources of data that are ingested into Data Cloud and mapped to the data model. Data streams have different categories that determine how the data is processed and used in Data Cloud. Transaction data streams are used for time-based operations in segmentation and calculated insights, such as filtering by date range, aggregating by time period, or calculating time-to-event metrics. Transaction data streams are typically used for event data, such as purchases, clicks, or visits, that have a timestamp and a value associated with them. Reference: Data Streams, Data Stream Categories


NEW QUESTION # 50
Which information is provided in a .csv file when activating to Amazon S3?

Answer: D

Explanation:
Explanation
When activating to Amazon S3, the information that is provided in a .csv file is the activated data payload. The activated data payload is the data that is sent from Data Cloud to theactivation target, which in this case is an Amazon S3 bucket1. The activated data payload contains the attributes and values of the individuals or entities that are included in the segment that is being activated2. The activated data payload can be used for various purposes, such as marketing, sales, service, or analytics3. The other options are incorrect because they are not provided in a .csv file when activating to Amazon S3. Option A is incorrect because an audit log is not provided in a .csv file, but it can be viewed in the Data Cloud UI under the Activation History tab4. Option C is incorrect because the metadata regarding the segment definition is not provided in a .csv file, but it can be viewed in the Data Cloud UI under the Segmentation tab5. Option D is incorrect because the manifest of origin sources within Data Cloud is not provided in a .csv file, but it can be viewed in the Data Cloud UI under the Data Sources tab. References: Data Activation Overview, Create and Activate Segments in Data Cloud, Data Activation Use Cases, View Activation History, Segmentation Overview, [Data Sources Overview]


NEW QUESTION # 51
What does the Source Sequence reconciliation rule do in identity resolution?

Answer: D

Explanation:
The Source Sequence reconciliation rule sets the priority of specific data sources when building attributes in a unified profile, such as a first or last name. This rule allows you to define which data source should be used as the primary source of truth for each attribute, and which data sources should be used as fallbacks in case the primary source is missing or invalid. For example, you can set the Source Sequence rule to use data from Salesforce CRM as the first priority, data from Marketing Cloud as the second priority, and data from Google Analytics as the third priority for the first name attribute. This way, the unified profile will use the first name value from Salesforce CRM if it exists, otherwise it will use the value from Marketing Cloud, and so on. This rule helps you to ensure the accuracy and consistency of the unified profile attributes across different data sources. References: Salesforce Data Cloud Consultant Exam Guide, Identity Resolution, Reconciliation Rules


NEW QUESTION # 52
Which two steps should a consultant take if a successfully configured Amazon S3 data stream fails to refresh with a "NO FILE FOUND" error message?
Choose 2 answers

Answer: B,C

Explanation:
A "NO FILE FOUND" error message indicates that Data Cloud cannot access or locate the file from the Amazon S3 source. There are two possible reasons for this error and two corresponding steps that a consultant should take to troubleshoot it:
The Data Cloud user does not have the correct permissions to read the file from the Amazon S3 bucket. This could happen if the user's permission set or profile does not include the Data Cloud Data Stream Read permission, or if the user's Amazon S3 credentials are invalid or expired. To fix this issue, the consultant should check and update the user's permissions and credentials in Data Cloud and Amazon S3, respectively.
The file does not exist in the specified bucket location. This could happen if the file name or path has changed, or if the file has been deleted or moved from the Amazon S3 bucket. To fix this issue, the consultant should check and verify the file name and path in the Amazon S3 bucket, and update the data stream configuration in Data Cloud accordingly. Reference: Create Amazon S3 Data Stream in Data Cloud, How to Use the Amazon S3 Storage Connector in Data Cloud, Amazon S3 Connection


NEW QUESTION # 53
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