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Salesforce Data-Cloud-Consultant Exam Overview:

Certification Vendor:	Salesforce
Exam Name:	Salesforce Certified Data 360 Consultant (formerly Salesforce Certified Data Cloud Consultant)
Exam Number:	Data-Con-101 / Data-Cloud-Consultant
Available Languages:	English
Real Exam Qty:	60 (plus up to 5 unscored questions)
Exam Duration:	105 minutes
Certificate Validity Period:	3 years
Passing Score:	62% - 70%
Related Certifications:	Salesforce Certified Marketing Cloud Consultant Salesforce Certified Data Architect Salesforce Certified Administrator
Exam Format:	Scenario-based questions, Multiple-select, Multiple-choice
Exam Price:	USD $200 + applicable taxes
Recommended Training:	Salesforce Trailhead - Data 360 / Data Cloud Learning Path
Exam Registration:	Salesforce Webassessor Registration
Sample Questions:	Salesforce Data-Cloud-Consultant Sample Questions
Exam Way:	Online proctored or onsite at authorized testing centers
Pre Condition:	No mandatory prerequisites; recommended: 1–2 years experience in data management, Salesforce implementation, or CDP solutions
Official Syllabus URL:	https://help.salesforce.com/s/articleView?id=005298940&language=en_US

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Data-Cloud-Consultant Musterprüfungsfragen, Data-Cloud-Consultant PDF Demo

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Salesforce Data-Cloud-Consultant Prüfungsplan:

Thema	Einzelheiten
Thema 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.
Thema 2	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.
Thema 3	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.
Thema 4	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.
Thema 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.

Salesforce Certified Data 360 Consultant (Data-Con-101) Data-Cloud-Consultant Prüfungsfragen mit Lösungen (Q69-Q74):

69. Frage
Which information is provided in a .csv file when activating to Amazon S3?

A. The activated data payload
B. The manifest of origin sources within Data Cloud
C. An audit log showing the user who activated the segment and when it was activated
D. The metadata regarding the segment definition

Antwort: A

Begründung:
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]

70. Frage
Northern Trail Outfitters uploads new customer data to an Amazon S3 Bucket on a daily basis to be ingested in Data Cloud.
In what order should each process be run to ensure that freshly imported data is ready and available to use for any segment?

A. Refresh Data Stream > Identity Resolution > Calculated Insight
B. Calculated Insight > Refresh Data Stream > Identity Resolution
C. Refresh Data Stream > Calculated Insight > Identity Resolution
D. Identity Resolution > Refresh Data Stream > Calculated Insight

Antwort: A

Begründung:
To ensure that freshly imported data from an Amazon S3 Bucket is ready and available to use for any segment, the following processes should be run in this order:
* Refresh Data Stream: This process updates the data lake objects in Data Cloud with the latest data from the source system. It can be configured to run automatically or manually, depending on the data stream
* settings1. Refreshing the data stream ensures that Data Cloud has the most recent and accurate data from the Amazon S3 Bucket.
* Identity Resolution: This process creates unified individual profiles by matching and consolidating source profiles from different data streams based on the identity resolution ruleset. It runs daily by default, but can be triggered manually as well2. Identity resolution ensures that Data Cloud has a single view of each customer across different data sources.
* Calculated Insight: This process performs calculations on data lake objects or CRM data and returns a result as a new data object. It can be used to create metrics or measures for segmentation or analysis purposes3. Calculated insights ensure that Data Cloud has the derived data that can be used for personalization or activation.
References:
* 1: Configure Data Stream Refresh and Frequency - Salesforce
* 2: Identity Resolution Ruleset Processing Results - Salesforce
* 3: Calculated Insights - Salesforce

71. Frage
Northern Trail Outfitters (NTO) asks its Data Cloud consultant for a list of contacts who fit within a certain segment for a mailing campaign.
How should the consultant provide this list to NTO?

A. Create the segment and then click Download to obtain the segment membership details to provide to NTO.
B. Create a new file storage activation target, create the segment, and then activate the segment to the new activation target.
C. Create the segment, select Email as the activation target, and activate the segment di nearly to NTO.
D. Create the segment and then activate the segment to NTO's Salesforce CRM.

Antwort: B

Begründung:
Segment Creation in Data Cloud: Salesforce Data Cloud allows the creation of segments based on specific criteria for targeted marketing campaigns.
Activation Targets: After creating a segment, it must be activated to make the data available for use. Various activation targets can be configured based on how the segment data will be used.
File Storage Activation Target: To provide a list of contacts fitting a segment, creating a file storage activation target allows the segment data to be exported as a file. This file can then be shared with NTO for their mailing campaign.
Process:
* Define the segment criteria in Salesforce Data Cloud.
* Create a new file storage activation target.
* Activate the segment to this target, which generates a downloadable file containing the segment membership details.
References:
* Salesforce Data Cloud Documentation: Segmentation
* Salesforce Data Cloud Activation

72. Frage
A consultant at Northern Trail Outfitters is attempting to ingest a field from the Contact object in Salesforce CRM that contains both yyyy-mm-dd and yyyy-mm-dd hh:mm:ss values. The target field is set to Date datatype.
Which statement is true in this situation?

A. The target field will be able to hold both types of values.
B. The target field will throw an error and store null values.
C. The target field will only hold the date part and ignore the time part.
D. The target field will only hold the time part and ignore the date part.

Antwort: C

Begründung:
Field Data Types: Salesforce CRM's Contact object fields can store data in various formats. When ingesting data into Salesforce Data Cloud, the target field's data type determines how the data is processed and stored.
Date Data Type: If the target field in Data Cloud is set to Date data type, it is designed to store date values without time information.
Mixed Format Values: When ingesting a field containing both date (yyyy-mm-dd) and datetime (yyyy-mm-dd hh:mm:ss) values into a Date data type field:
* The Date field will extract and store only the date part (yyyy-mm-dd), ignoring the time part (hh:mm:ss).
Result:
* Date Values: yyyy-mm-dd values are stored as-is.
* Datetime Values: yyyy-mm-dd hh:mm:ss values are truncated to yyyy-mm-dd, and the time component is ignored.
References:
* Salesforce Data Cloud Field Mapping
* Salesforce Data Types

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

Antwort: A,D

Begründung:
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. References: Create Amazon S3 Data Stream in Data Cloud, How to Use the Amazon S3 Storage Connector in Data Cloud, Amazon S3 Connection

74. Frage
......

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