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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Calculated Insights | 8% | - Define metrics and measurements - Publish insights to Data Cloud - Use formulas and functions in calculations - Create and configure calculated insights |
| Topic 2: Data Model Setup and Configuration | 15% | - Describe Harmonized Data Model concepts - Configure custom objects, fields, and relationships - Understand data types and field mapping - Set up and configure Data Lake objects - Map source data to harmonized data model |
| Topic 3: Data Cloud Monitoring and Troubleshooting | 22% | - Troubleshoot data quality issues - Manage data retention and cleanup - Debug common configuration errors - Use Data Cloud analytics and reports - Monitor data ingestion and sync status - Analyze identity resolution results |
| Topic 4: Identity Resolution and Data Unification | 17% | - Configure identity resolution rules - Configure contact and account matching - Manage data overlap and deduplication - Configure match rules and strategies - Understand unified records creation |
| Topic 5: Data Actions | 8% | - Create and manage data bundles - Set up segmentation and target audiences - Configure data sync to external systems - Configure data actions for activation |
| Topic 6: Data Cloud Overview and Licensing | 7% | - Describe the business value of Data Cloud - Explain licensing model and capacity - Describe Data Cloud setup and configuration |
| Topic 7: Data Ingestion | 15% | - Configure batch data ingestion - Troubleshoot ingestion issues - Configure streaming data ingestion - Configure data sync and refresh schedules - Set up and manage data connectors |
| Topic 8: Data Sharing and Security | 8% | - Manage user access and permissions - Implement row-level security - Understand data governance requirements - Configure data sharing settings |
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NEW QUESTION # 46
How does Data Cloud ensure data privacy and security?
Answer: D
Explanation:
Data Privacy and Security in Data Cloud:
Ensuring data privacy and security is paramount in Salesforce Data Cloud.
Reference: Salesforce Data Privacy and Security Overview
Key Security Measures:
Encrypting Data at Rest and in Transit:
Data encryption ensures that information is protected from unauthorized access both when stored and when transmitted.
Reference: Salesforce Encryption Documentation
Enforcing and Controlling Consent Preferences:
Consent management ensures that data usage complies with customer permissions and regulatory requirements.
Reference: Salesforce Consent Management Guide
Steps to Implement Security Measures:
Data Encryption:
Enable encryption for data at rest using Salesforce Shield.
Ensure TLS/SSL encryption is used for data in transit.
Consent Management:
Set up and enforce consent preferences within Data Cloud.
Regularly audit and update consent records.
Reference: Salesforce Shield Encryption and Consent Management Implementation Guide Practical Application:
Example: A financial institution uses encryption to secure customer financial data and manages consent to comply with GDPR.
Reference: Salesforce Data Privacy Case Studies
NEW QUESTION # 47
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: A,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 # 48
A consultant is integrating an Amazon 53 activated campaign with the customer's destination system.
In order for the destination system to find the metadata about the segment, which file on the 53 will contain this information for processing?
Answer: B
Explanation:
Explanation
The file on the Amazon S3 that will contain the metadata about the segment for processing is B. The json file.
The json file is a metadata file that is generated along with the csv file when a segment is activated to Amazon S3.
The json file contains information such as the segment name, the segment ID, the segment size, the segment attributes, the segment filters, and the segment schedule.
The destination system can use this file to identify the segment and its properties, and to match the segment data with the corresponding fields in the destination system.
References: Salesforce Data Cloud Consultant Exam Guide, Amazon S3 Activation
NEW QUESTION # 49
The recruiting team at Cumulus Financial wants to identify which candidates have browsed the jobs page on its website at least twice within the last 30 minutes. They want the information about these candidates to automatically be available for segmentation in Data 360 and the candidates added to their recruiting system.
Which feature should a Data 360 Consultant recommend to achieve this goal?
Answer: A
Explanation:
The rolling requirement-at least two job-page visits within 30 minutes-matches the aggregation-window behavior of a streaming insight, and the supplied PDF therefore keys this item to D. A streaming insight can count or sum events over a rolling window and can drive near-real-time data actions, which fits the recruiting- system action. However, the question is not fully valid against current Salesforce documentation because Salesforce explicitly states that streaming insights are not available in segmentation or activation. Therefore, no listed option satisfies both requirements exactly as written: D fits the 30-minute behavioral aggregation and event action, but not the requirement that the insight be directly available for segmentation. I am retaining D as the source item's intended answer while flagging this current-product limitation rather than presenting the item as technically flawless
NEW QUESTION # 50
A consultant is setting up a data stream with transactional data,
Which field type should the consultant choose to ensure that leading
zeros in the purchase order number are preserved?
Answer: B
Explanation:
The field type Text should be chosen to ensure that leading zeros in the purchase order number are preserved. This is because text fields store alphanumeric characters as strings, and do not remove any leading or trailing characters. On the other hand, number, decimal, and serial fields store numeric values as numbers, and automatically remove any leading zeros when displaying or exporting the data123. Therefore, text fields are more suitable for storing data that needs to retain its original format, such as purchase order numbers, zip codes, phone numbers, etc. References:
Zeros at the start of a field appear to be omitted in Data Exports
Keep First '0' When Importing a CSV File
Import and export address fields that begin with a zero or contain a plus symbol
NEW QUESTION # 51
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