TRAINING SALESFORCE DATA-CLOUD-CONSULTANT KIT - DATA-CLOUD-CONSULTANT EXAM CERTIFICATION

Training Salesforce Data-Cloud-Consultant Kit - Data-Cloud-Consultant Exam Certification

Training Salesforce Data-Cloud-Consultant Kit - Data-Cloud-Consultant Exam Certification

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Tags: Training Data-Cloud-Consultant Kit, Data-Cloud-Consultant Exam Certification, Data-Cloud-Consultant Exam Overviews, Data-Cloud-Consultant Guide, New Data-Cloud-Consultant Test Sample

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Salesforce Data-Cloud-Consultant Exam Syllabus Topics:

TopicDetails
Topic 1
  • Act on Data: This topic defines activations and their basic use cases, using attributes and related attributes, identifying and analyzing timing dependencies affecting the Data Cloud lifecycle. Additionally it focuses on troubleshooting common problems with activations, and using data actions, including their requirements and intended use cases.
Topic 2
  • 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 3
  • 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.
Topic 4
  • 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 5
  • 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.

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Updated Salesforce Data-Cloud-Consultant Questions - Fast Track To Get Success

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Salesforce Certified Data Cloud Consultant Sample Questions (Q24-Q29):

NEW QUESTION # 24
Cloud Kicks received a Request to be Forgotten by a customer.
In which two ways should a consultant use Data Cloud to honor this request?
Choose 2 answers

  • A. Delete the data from the incoming data stream and perform a full refresh.
  • B. Add the Individual ID to a headerless file and use the delete from file functionality.
  • C. Use the Consent API to suppress processing and delete the Individual and related records from source data streams.
  • D. Use Data Explorer to locate and manually remove the Individual.

Answer: B,C

Explanation:
Explanation
To honor a Request to be Forgotten by a customer, a consultant should use Data Cloud in two ways:
* Add the Individual ID to a headerless file and use the delete from file functionality. This option allows the consultant to delete multiple Individuals from Data Cloud by uploading a CSV file with their IDs1. The deletion process is asynchronous and can take up to 24 hours to complete1.
* Use the Consent API to suppress processing and delete the Individual and related records from source data streams. This option allows the consultant to submit a Data Deletion request for an Individual profile in Data Cloud using the Consent API2. A Data Deletion request deletes the specified Individual entity and any entities where a relationship has been defined between that entity's identifying attribute and the Individual ID attribute2. The deletion process is reprocessed at 30, 60, and 90 days to ensure a full deletion2. The other options are not correct because:
* Deleting the data from the incoming data stream and performing a full refresh will not delete the existing data in Data Cloud, only the new data from the source system3.
* Using Data Explorer to locate and manually remove the Individual will not delete the related records from the source data streams, only the Individual entity in Data Cloud. References:
* Delete Individuals from Data Cloud
* Requesting Data Deletion or Right to Be Forgotten
* Data Refresh for Data Cloud
* [Data Explorer]


NEW QUESTION # 25
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

  • A. Check if correct permissions are configured for the S3 user.
  • B. Check If the file exists in the specified bucket location.
  • C. Check if the Amazon S3 data source is enabled in Data Cloud Setup.
  • D. Check if correct permissions are configured for the Data Cloud user.

Answer: B,D

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 # 26
Cloud Kicks wants to be able to build a segment of customers who have visited its website within the previous 7 days.
Which filter operator on the Engagement Date field fits this use case?

  • A. Is Between
  • B. Next Number of Days
  • C. Greater than Last Number of
  • D. Last Number of Days

Answer: D

Explanation:
The filter operator Last Number of Days allows you to filter on date fields using a relative date range that specifies the number of days before today. For example, you can use this operator to filter on customers who have visited your website in the last 7 days, or the last 30 days, or any number of days you want. This operator is useful for creating dynamic segments that update automatically based on the current date12. References:
Relative Date Filter Reference
Create Filtered Segments


NEW QUESTION # 27
Cloud Kicks plans to do a full deletion of one of its existing data streams and its underlying data lake object (DLO).
What should the consultant consider before deleting the data stream?

  • A. The underlying DLO can be used in a data transform.
  • B. The underlying DLO cannot be mapped to a data model object.
  • C. The data stream must be associated with a data kit.
  • D. The data stream can be deleted without implicitly deleting the underlying DLO.

Answer: A

Explanation:
Data Streams and DLOs: In Salesforce Data Cloud, data streams are used to ingest data, which is then stored in Data Lake Objects (DLOs).
Deletion Considerations: Before deleting a data stream, it's crucial to consider the dependencies and usage of the underlying DLO.
Data Transform Usage:
* Impact of Deletion: If the underlying DLO is used in a data transform, deleting the data stream will affect any transforms relying on that DLO.
* Dependency Check: Ensure that the DLO is not part of any active data transformations or processes that could be disrupted by its deletion.
References:
* Salesforce Data Cloud Documentation: Data Streams
* Salesforce Data Cloud Documentation: Data Transforms


NEW QUESTION # 28
A consultant wants to build a new audience in Data Cloud.
Which three criteria can the consultant include when building a segment?
Choose 3 answers

  • A. Calculated Insights
  • B. Streaming insights
  • C. Data stream attributes
  • D. Direct attributes
  • E. Related attributes

Answer: A,D,E

Explanation:
Explanation
A segment is a subset of individuals who meet certain criteria based on their attributes and behaviors. A consultant can use different types of criteria when building a segment in Data Cloud, such as:
* Direct attributes: These are attributes that describe the characteristics of an individual, such as name, email, gender, age, etc. These attributes are stored in the Profile data model object (DMO) and can be used to filter individuals based on their profile data.
* Calculated Insights: These are insights that perform calculations on data in a data space and store the results in a data extension. These insights can be used to segment individuals based on metrics or scores derived from their data, such as customer lifetime value, churn risk, loyalty tier, etc.
* Related attributes: These are attributes that describe the relationships of an individual with other DMOs,
* such as Email, Engagement, Order, Product, etc. These attributes can be used to segment individuals based on their interactions or transactions with different entities, such as email opens, clicks, purchases, etc.
The other two options are not valid criteria for building a segment in Data Cloud. Data stream attributes are attributes that describe the streaming data that is ingested into Data Cloud from various sources, such as Marketing Cloud, Commerce Cloud, Service Cloud, etc. These attributes are not directly available for segmentation, but they can be transformed and stored in data extensions using streaming data transforms.
Streaming insights are insights that analyze streaming data in real time and trigger actions based on predefined conditions. These insights are not used for segmentation, but for activation and personalization. References: Create a Segment in Data Cloud, Use Insights in Data Cloud, Data Cloud Data Model


NEW QUESTION # 29
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