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Salesforce Data-Cloud-Consultant Prüfungsplan:
| Thema | Einzelheiten |
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| Thema 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.
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| Thema 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.
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| Thema 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.
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| Thema 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.
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>> Data-Cloud-Consultant Fragenkatalog <<
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Salesforce Certified Data 360 Consultant (Data-Con-101) Data-Cloud-Consultant Prüfungsfragen mit Lösungen (Q103-Q108):
103. Frage
A consultant is reviewing a recent activation using engagement-based related attributes but is not seeing any related attributes in their payload for the majority of their segment members.
Which two areas should the consultant review to help troubleshoot this issue?
Choose 2 answers
- A. The activations are referencing segments that segment on profile data rather than engagement data.
- B. The correct path is selected for the related attributes.
- C. The activated profiles have a Unified Contact Point.
- D. The related engagement events occurred within the last 90 days.
Antwort: B,D
Begründung:
Engagement-based related attributes are attributes that describe the interactions of a person with an email message, such as opens, clicks, unsubscribes, etc. These attributes are stored in the Engagement data model object (DMO) and can be added to an activation to send more personalized communications. However, there are some considerations and limitations when using engagement-based related attributes, such as:
* For engagement data, activation supports a 90-day lookback window. This means that only the attributes from the engagement events that occurred within the last 90 days are considered for activation. Any records outside of this window are not included in the activation payload. Therefore, the consultant should review the event time of the related engagement events and make sure they are within the lookback window.
* The correct path to the related attributes must be selected for the activation. A path is a sequence of DMOs that are connected by relationships in the data model. For example, the path from Individual to
* Engagement is Individual -> Email -> Engagement. The path determines which related attributes are available for activation and how they are filtered. Therefore, the consultant should review the path selection and make sure it matches the desired related attributes and filters.
The other two options are not relevant for this issue. The activations can reference segments that segment on profile data rather than engagement data, as long as the activation target supports related attributes. The activated profiles do not need to have a Unified Contact Point, which is a unique identifier for a person across different data sources, to activate engagement-based related attributes. References: Add Related Attributes to an Activation, Related Attributes in Data Cloud activation have no values, Explore the Engagement Data Model Object
104. Frage
A customer wants to use the transactional data from their data warehouse in Data Cloud.
They are only able to export the data via an SFTP site.
How should the file be brought into Data Cloud?
- A. Manually import the file using the Data Import Wizard.
- B. Ingest the file through the Cloud Storage Connector.
- C. Use Salesforce's Dataloader application to perform a bulk upload from a desktop.
- D. Ingest the file with the SFTP Connector.
Antwort: D
Begründung:
The SFTP Connector is a data source connector that allows Data Cloud to ingest data from an SFTP server. The customer can use the SFTP Connector to create a data stream from their exported file and bring it into Data Cloud as a data lake object. The other options are not the best ways to bring the file into Data Cloud because:
B . The Cloud Storage Connector is a data source connector that allows Data Cloud to ingest data from cloud storage services such as Amazon S3, Azure Storage, or Google Cloud Storage. The customer does not have their data in any of these services, but only on an SFTP site.
C . The Data Import Wizard is a tool that allows users to import data for many standard Salesforce objects, such as accounts, contacts, leads, solutions, and campaign members. It is not designed to import data from an SFTP site or for custom objects in Data Cloud.
D . The Dataloader is an application that allows users to insert, update, delete, or export Salesforce records. It is not designed to ingest data from an SFTP site or into Data Cloud. Reference: SFTP Connector - Salesforce, Create Data Streams with the SFTP Connector in Data Cloud - Salesforce, Data Import Wizard - Salesforce, Salesforce Data Loader
105. Frage
What does the Source Sequence reconciliation rule do in identity resolution?
- A. Sets the priority of specific data sources when building attributes in a unified profile, such as a first or last name
- B. Includes data from sources where the data is most frequently occurring
- C. Identifies which data sources should be used in the process of reconcillation by prioritizing the most recently updated data source
- D. Identifies which individual records should be merged into a unified profile by setting a priority for specific data sources
Antwort: A
Begründung:
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. Reference: Salesforce Data Cloud Consultant Exam Guide, Identity Resolution, Reconciliation Rules
106. Frage
A consultant wants to confirm the Identity resolution they Just set up. Which two features can the consultant use to validate the data on a unified profile?
Choose 2 answers
- A. Query API
- B. Identity Resolution
- C. Data Actions
- D. Data Explorer
Antwort: B,D
107. Frage
During a privacy law discussion with a customer, the customer indicates they need to honor requests for the Right to Be Forgotten. The Data 360 Consultant determines that Consent API will solve this business need.
Which consideration should the consultant inform the customer about?
- A. Data Deletion requests submitted to Data 360 are passed to all connected Salesforce clouds.
- B. Data Deletion requests are processed within 1 hour.
- C. Data Deletion automatically happens for related records.
- D. Data Deletion requests are submitted for Individual profiles.
Antwort: D
Begründung:
Salesforce handles Data 360 data-subject-rights requests through the Salesforce Consent API, including Data Deletion or Right to Be Forgotten requests. Current Salesforce documentation states that these requests are submitted for individual profiles; when Identity Resolution is used, requests should target the applicable source individual profiles. This makes C the required consideration. A one-hour completion guarantee is not stated as the governing behavior, so A is incorrect. Requests submitted to Data 360 are not automatically propagated as deletion commands to every connected Salesforce cloud, eliminating B. Option D is also too broad: deletion behavior depends on the data model relationships and the records covered by the request rather than an unconditional deletion of every related record. The key implementation concept is that Consent API requests are profile-centered and governed by Data 360's data-subject-rights processing.
108. Frage
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