Data-Con-101 Valid Dumps Questions - Data-Con-101 Test Topics Pdf

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Salesforce Data-Con-101 Exam Overview:

Certification Vendor:	Salesforce
Exam Name:	Salesforce Certified Data Cloud Consultant Exam
Exam Number:	Data-Con-101
Exam Duration:	105 minutes
Related Certifications:	Salesforce Certified Consultant
Exam Format:	Multiple-choice, Multiple-select
Available Languages:	English
Real Exam Qty:	60–65 (including up to 5 unscored items)
Exam Price:	USD 200 (+ applicable taxes)
Certificate Validity Period:	2 years
Passing Score:	62%
Recommended Training:	Trailhead: Data Cloud Fundamentals (SDC101) Cert Prep: Salesforce Certified Data Cloud Consultant
Exam Registration:	Pearson VUE Kryterion Webassessor
Sample Questions:	Salesforce Data-Con-101 Sample Questions
Exam Way:	Online proctored or onsite testing center
Pre Condition:	No mandatory prerequisites; recommended 2+ years experience in data strategy, modeling, and Salesforce implementation
Official Syllabus URL:	https://trailheadacademy.salesforce.com/certificate/exam-data-cloud---Data-Con-101

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Salesforce Data-Con-101 Exam Syllabus Topics:

Topic	Details
Topic 1	Identity Resolution: This domain explores creating unified customer profiles through matching and reconciliation processes. It covers how rule sets determine when records link together, how conflicting data is resolved, and understanding the outcomes and use cases of unified identities.
Topic 2	Data Ingestion and Modeling: This domain addresses bringing data into Data Cloud and structuring it properly through transformation, ingestion from various sources, and data mapping. It emphasizes best practices for modeling data to support identity resolution and validating ingested data using available tools.
Topic 3	Segmentation and Insights: This domain centers on creating audience segments and deriving analytical insights from Data Cloud. It includes configuring and maintaining segments, analyzing membership scenarios, and distinguishing between calculated insights and real-time streaming insights.

Salesforce Certified Data Cloud Consultant Sample Questions (Q72-Q77):

NEW QUESTION # 72
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 the segment, select Email as the activation target, and activate the segment di nearly to NTO.
C. Create the segment and then activate the segment to NTO's Salesforce CRM.
D. Create a new file storage activation target, create the segment, and then activate the segment to the new activation target.

Answer: B

NEW QUESTION # 73
A client wants to bring in loyalty data from a custom object in Salesforce CRM that contains a point balance for accrued hotel points and airline points within the same record. The client wants to split these point systems into two separate records for better tracking and processing.
What should a consultant recommend in this scenario?

A. Clone the data source object.
B. Create a junction object in Salesforce CRM and modify the ingestion strategy.
C. Create a data kit from the data lake object and deploy it to the same Data Cloud org.
D. Use batch transforms to create a second data lake object.

Answer: D

Explanation:
Batch transforms are a feature that allows creating new data lake objects based on existing data lake objects and applying transformations on them. This can be useful for splitting, merging, or reshaping data to fit the data model or business requirements. In this case, the consultant can use batch transforms to create a second data lake object that contains only the airline points from the original loyalty data object. The original object can be modified to contain only the hotel points. This way, the client can have two separate records for each point system and track and process them accordingly. References: Batch Transforms, Create a Batch Transform

NEW QUESTION # 74
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. Use the source priority order in activations to make sure a contact point from the desired sourceis delivered to the activation target.
C. Include Contact Point Email object Is Active field as a match rule.
D. Ensure Marketing Cloud is prioritized as the first data source in the Source Priority reconciliationrule.

Answer: B

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. References: Configure Activations, Use Source Priority Order in Activations

NEW QUESTION # 75
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?

A. The json file
B. The .txt file
C. The .csv file
D. The .zip file

Answer: A

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 # 76
A consultant is ingesting a list of employees from their human resources database that they want to segment on.
Which data stream category should the consultant choose when ingesting this data?

A. Other Data
B. Profile Data
C. Contact Data
D. Engagement Data

Answer: A

Explanation:
Categories of Data Streams:
Profile Data: Customer profiles and demographic information.
Contact Data: Contact points like email and phone numbers.
Other Data: Miscellaneous data that doesn't fit into the other categories.
Engagement Data: Interactions and behavioral data.
Reference: Salesforce Data Stream Categories
Ingesting Employee Data:
Employee data typically doesn't fit into profile, contact, or engagement categories meant for customer data.
"Other Data" is appropriate for non-customer-specific data like employee information.
Reference: Salesforce Data Ingestion Guide
Steps to Ingest Employee Data:
Navigate to the data ingestion settings in Salesforce Data Cloud.
Select "Create New Data Stream" and choose the "Other Data" category.
Map the fields from the HR database to the corresponding fields in Data Cloud.
Reference: Salesforce Data Ingestion Tutorial
Practical Application:
Example: A company ingests employee data to segment internal communications or analyze workforce metrics.
Choosing the "Other Data" category ensures that this non-customer data is correctly managed and utilized.
Reference: Salesforce Data Management Case Studies

NEW QUESTION # 77
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