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[General] Data-Cloud-Consultant Practice Materials Seize the Focus to Make You Master It i

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【General】 Data-Cloud-Consultant Practice Materials Seize the Focus to Make You Master It i

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Salesforce Data-Cloud-Consultant Exam Syllabus Topics:
TopicDetails
Topic 1
  • Data Ingestion and Modeling: This topic covers the different transformation capabilities within Data Cloud. It includes describing processes and considerations for data ingestion from various sources, defining, mapping, and modeling data using best practices aligned with identity resolution. Lastly, it discusses using available tools to inspect and validate ingested and modeled data.
Topic 2
  • Data Cloud Overview: This topic covers Data Cloud's function, key terminology, business value, typical use cases, the Data Cloud lifecycle, dependencies, and principles of data ethics. These sub-topics provide an overview of Data Cloud's capabilities and applications.
Topic 3
  • Identity Resolution: It describes matching and how its rule sets are applied. Furthermore, it discusses reconciling data and its rule sets, the results of identity resolution, and use cases.
Topic 4
  • Data Cloud Setup and Administration: This topic includes applying Data Cloud permissions, permission sets, org-wide settings. It describes and configures data stream types, and data bundles. Moreover, it discusses use cases for data spaces, creating data spaces, managing and administering Data Cloud using reports, dashboards, flows, packaging, data kits, diagnosing and exploring data using Data Explorer, Profile Explorer, and APIs.
Topic 5
  • Segmentation and Insights: This topic defines basic concepts of segmentation and use cases, identifies scenarios for analyzing segment membership, configuring, refining, and maintaining segments within Data Cloud, and differentiating between calculated and streaming insights.

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Salesforce Certified Data Cloud Consultant Sample Questions (Q34-Q39):NEW QUESTION # 34
Which information is provided in a .csv file when activating to Amazon S3?
  • A. An audit log showing the user who activated the segment and when it was activated
  • B. The metadata regarding the segment definition
  • C. The manifest of origin sources within Data Cloud
  • D. The activated data payload
Answer: D
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 the activation 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. Reference: Data Activation Overview, Create and Activate Segments in Data Cloud, Data Activation Use Cases, View Activation History, Segmentation Overview, [Data Sources Overview]

NEW QUESTION # 35
Cumulus Financial segregates its sales CRM data based on Region for its Data Cloud users. Multiple data spaces are configured: a default space and two additional spaces tailored for EMEA and APAC regions.
EME A sales reps who need temporary access to visualize data for both regions say that they cannot visualize APAC data. APAC sales reps can visualize the corresponding segmented data.
Which statement describes the cause of this issue?
  • A. The EMEA sales reps have not been assigned to the permission set associated with the APAC data space.
  • B. The APAC data space is not associated with any permission set.
  • C. The EMEA sales reps have not been assigned to the profile associated with the APAC data space.
  • D. The APAC data space Is not associated with any profile.
Answer: A
Explanation:
The issue arises because the EMEA sales reps cannot visualize APAC data, while APAC sales reps can access their segmented data. The root cause is that the EMEA sales reps lack the necessary permissions to access the APAC data space. Here's why:
Understanding the Issue
Cumulus Financial uses data spaces to segregate CRM data by region (default, EMEA, APAC).
EMEA sales reps need temporary access to APAC data but are unable to view it.
APAC sales reps can access their corresponding segmented data without issues.
Why Permission Sets?
Data Space Access Control :
Data spaces in Salesforce Data Cloud are secured using profiles and permission sets .
Users must be explicitly granted access to a data space via their assigned profiles or permission sets.
Root Cause Analysis :
Since APAC sales reps can access their data, the APAC data space is properly configured.
The issue lies with the EMEA sales reps, who likely do not have the required permission set granting access to the APAC data space.
Temporary Access :
Temporary access can be granted by assigning the appropriate permission set to the EMEA sales reps.
Steps to Resolve the Issue
Step 1: Identify the Required Permission Set
Navigate to Setup > Permission Sets and locate the permission set associated with the APAC data space.
Step 2: Assign the Permission Set
Assign the APAC data space permission set to the EMEA sales reps requiring temporary access.
Step 3: Verify Access
Confirm that the EMEA sales reps can now visualize APAC data.
Step 4: Revoke Temporary Access
Once the temporary access period ends, remove the permission set from the EMEA sales reps.
Why Not Other Options?
A). The EMEA sales reps have not been assigned to the profile associated with the APAC data space rofiles are typically broader and less flexible than permission sets for managing temporary access.
B). The APAC data space is not associated with any permission set :This is incorrect because APAC sales reps can access their data, indicating the data space is properly configured.
C). The APAC data space is not associated with any profile :Similar to Option B, this is incorrect because APAC sales reps can access their data.
Conclusion
The issue is resolved by ensuring that the EMEA sales reps are assigned the permission set associated with the APAC data space . This grants them temporary access to visualize APAC data.

NEW QUESTION # 36
A customer notices that their consolidation rate is low across their account unification. They have mapped Account to the Individual and Contact Point Email DMOs.
What should they do to increase their consolidation rate?
  • A. Increase the number of matching rules.
  • B. Change reconciliation rules to Most Occurring.
  • C. Disable the individual identity ruleset.
  • D. Update their account address details in the data source
Answer: A
Explanation:
* Consolidation Rate: The consolidation rate in Salesforce Data Cloud refers to the effectiveness of unifying records into a single profile. A low consolidation rate indicates that many records are not being successfully unified.
* Matching Rules: Matching rules are critical in the identity resolution process. They define the criteria for identifying and merging duplicate records.
* Solution:
Increase Matching Rules: Adding more matching rules improves the system's ability to identify duplicate records. This includes matching on additional fields or using more sophisticated matching algorithms.
Steps:
Access the Identity Resolution settings in Data Cloud.
Review the current matching rules.
Add new rules that consider more fields such as phone number, address, or other unique identifiers.
* Benefits:
Improved Unification: Higher accuracy in matching and merging records, leading to a higher consolidation rate.
Comprehensive Profiles: Enhanced customer profiles with consolidated data from multiple sources.
* Reference:
Salesforce Data Cloud Identity Resolution
Salesforce Help: Matching Rules

NEW QUESTION # 37
Northern Trail Outfitters (NTO) is configuring an identity resolution ruleset based on Fuzzy Name and Normalized Email.
What should NTO do to ensure the best email address is activated?
  • A. Set the default reconciliation rule to Last Updated.
  • B. Include Contact Point Email object Is Active field as a match rule.
  • C. Use the source priority order in activations to make sure a contact point from the desired source is delivered to the activation target.
  • D. Ensure Marketing Cloud is prioritized as the first data source in the Source Priority reconciliation rule.
Answer: C
Explanation:
NTO is using Fuzzy Name and Normalized Email as match rules to link together data from different sources into a unified individual profile. However, there might be cases where the same email address is available from more than one source, and NTO needs to decide which one to use for activation. For example, if Rachel has the same email address in Service Cloud and Marketing Cloud, but prefers to receive communications from NTO via Marketing Cloud, NTO needs to ensure that the email address from Marketing Cloud is activated. To do this, NTO can use the source priority order in activations, which allows them to rank the data sources in order of preference for activation. By placing Marketing Cloud higher than Service Cloud in the source priority order, NTO can make sure that the email address from Marketing Cloud is delivered to the activation target, such as an email campaign or a journey. This way, NTO can respect Rachel's preference and deliver a better customer experience. Reference: Configure Activations, Use Source Priority Order in Activations

NEW QUESTION # 38
Northern Trail Outfitters (NTO) wants to connect their B2C Commerce data with Data Cloud and bring two years of transactional history into Data Cloud.
What should NTO use to achieve this?
  • A. B2C Commerce Starter Bundles plus a custom extract
  • B. Direct Sales Order entity ingestion
  • C. B2C Commerce Starter Bundles
  • D. Direct Sales Product entity ingestion
Answer: A
Explanation:
Explanation
The B2C Commerce Starter Bundles are predefined data streams that ingest order and product data from B2C Commerce into Data Cloud. However, the starter bundles only bring in the last 90 days of data by default. To bring in two years of transactional history, NTO needs to use a custom extract from B2C Commerce that includes the historical data and configure the data stream to use the custom extract as the source. The other options are not sufficient to achieve this because:
* A. B2C Commerce Starter Bundles only ingest the last 90 days of data by default.
* B. Direct Sales Order entity ingestion is not a supported method for connecting B2C Commerce data with Data Cloud. Data Cloud does not provide a direct-access connection for B2C Commerce data, only data ingestion.
* C. Direct Sales Product entity ingestion is not a supported method for connecting B2C Commerce data with Data Cloud. Data Cloud does not provide a direct-access connection for B2C Commerce data, only data ingestion. References: Create a B2C Commerce Data Bundle - Salesforce, B2C Commerce Connector - Salesforce, Salesforce B2C Commerce Pricing Plans & Costs

NEW QUESTION # 39
......
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