P.S. Free & New Data-Con-101 dumps are available on Google Drive shared by Pass4Leader: https://drive.google.com/open?id=1334KYbNQLxmoIIezLJkOcZSptGmTgi-H
Whether you are a student or a professional who has already taken part in the work, you must feel the pressure of competition now. However, no matter how fierce the competition is, as long as you have the strength, you can certainly stand out. And our Data-Con-101 exam questions can help on your way to be successful. Our data shows that 98% to 100% of our worthy customers passed the Data-Con-101 Exam and got the certification. And we believe you will be the next one as long as you buy our Data-Con-101 study guide.
| Certification Vendor: | Salesforce |
|---|---|
| Exam Name: | Salesforce Certified Data Cloud Consultant |
| Exam Number: | Data-Con-101 |
| Exam Price: | $200 USD |
| Passing Score: | 68% |
| Exam Format: | Multiple Select, Multiple Choice |
| Related Certifications: | Salesforce Marketing Cloud Engagement Salesforce Certified Administrator Salesforce Platform App Builder |
| Certificate Validity Period: | Maintenance required annually (Trailhead maintenance program) |
| Real Exam Qty: | 60-65 |
| Available Languages: | English |
| Exam Duration: | 105 minutes |
| Recommended Training: | Salesforce Trailhead - Data Cloud Learning Paths Salesforce Partner Training Resources |
| Exam Registration: | Salesforce Credentials Portal |
| Sample Questions: | Salesforce Data-Con-101 Sample Questions |
| Exam Way: | Online proctored exam or test center delivery |
| Pre Condition: | No strict prerequisites; recommended to have Salesforce Administrator knowledge or equivalent experience. |
>> Data-Con-101 Test Practice <<
The client only needs 20-30 hours to learn our Data-Con-101 learning questions and then they can attend the test. Most people may devote their main energy and time to their jobs, learning or other important things and can’t spare much time to prepare for the test. But if clients buy our Data-Con-101 Training Materials they can not only do their jobs or learning well but also pass the test smoothly and easily because they only need to spare little time to learn and prepare for the Data-Con-101 test.
| Topic | Details |
|---|---|
| Topic 1 |
|
| Topic 2 |
|
| Topic 3 |
|
NEW QUESTION # 122
Which statement about Data Cloud's Web and Mobile Application Connector is true?
Answer: D
Explanation:
The Web and Mobile Application Connector allows you to ingest data from your websites and mobile apps into Data Cloud. To use this connector, you need to set up a Tenant Specific Endpoint (TSE) in Data Cloud, which is a unique URL that identifies your Data Cloud org. The TSE is auto-generated when you create a connector app in Data Cloud Setup. You can then use the TSE to configure the SDKs for your websites and mobile apps, which will send data to Data Cloud through the TSE. References: Web and Mobile Application Connector, Connect Your Websites and Mobile Apps, Create a Web or Mobile App Data Stream
NEW QUESTION # 123
A consultant is helping a beauty company ingest its profile data into Data Cloud. The company's source data includes several fields, such as eye color, skin type, and hair color, that are not fields in the standard Individual data model object (DMO).
What should the consultant recommend to map this data to be used for both segmentation and identity resolution?
Answer: B
Explanation:
The best option to map the data to be used for both segmentation and identity resolution is to create custom fields on the standard Individual DMO. This way, the consultant can leverage the existing fields and functionality of the Individual DMO, such as identity resolution rulesets, calculated insights, and data actions, while adding the additional fields that are specific to the beauty company's data1. Creating a custom DMO from scratch or duplicating the standard Individual DMO would require more effort and maintenance, and might not be compatible with the existing features of Data Cloud. Creating a custom DMO with only the additional fields and mapping it to the standard Individual DMO would create unnecessary complexity and redundancy, and might not allow the use of the custom fields for identity resolution. References:
1: Data Model Objects in Data Cloud
NEW QUESTION # 124
A consultant needs to create a data graph based on several DLOs,
Which step should the consultant take to make this work?
Answer: A
Explanation:
To create a data graph based on several Data Lake Objects (DLOs) , the consultant should map the DLOs to Data Model Objects (DMOs) and use these in the data graph. Here's why:
Understanding Data Graphs
A data graph in Salesforce Data Cloud represents relationships between entities (e.g., customers, accounts, orders) and their attributes.
It is built using Data Model Objects (DMOs) , which provide a standardized structure for unified profiles and related data.
Why Map DLOs to DMOs?
Role of DLOs and DMOs :
DLOs are raw data sources ingested into Data Cloud.
DMOs are standardized objects used for identity resolution and unified profiles.
Mapping DLOs to DMOs ensures that raw data is transformed into a structured format suitable for data graphs.
Building the Data Graph :
Once the DLOs are mapped to DMOs, the consultant can use the DMOs to define relationships and build the data graph.
This approach ensures consistency and alignment with the unified data model.
Other Options Are Less Suitable :
A). Use a data action to update the data graph with the DLO data : Data actions are used for triggering workflows, not for building data graphs.
C). Map the DLOs directly to a data graph : DLOs cannot be directly mapped to a data graph; they must first be transformed into DMOs.
D). Batch transform the DLOs to multiple DMOs and activate these with the data graph : This is overly complex and unnecessary when mapping DLOs to DMOs suffices.
Steps to Create the Data Graph
Step 1: Map DLOs to DMOs
Navigate to Data Cloud > Data Streams and map the relevant fields from the DLOs to the corresponding DMOs.
Step 2: Define Relationships
Use the Data Model tab to define relationships between DMOs (e.g., linking Individuals to Accounts).
Step 3: Build the Data Graph
Use the mapped DMOs to create the data graph, defining nodes (entities) and edges (relationships).
Step 4: Validate the Graph
Test the data graph to ensure it accurately represents the desired relationships and data flow.
Conclusion
The consultant should map the DLOs to DMOs and use these in the data graph to ensure a structured and consistent approach to building relationships between entities.
NEW QUESTION # 125
Northern Trail Outfitters wants to implement Data Cloud and has several use cases in mind.
Which two use cases are considered a good fit for Data Cloud?
Choose 2 answers
Answer: C,D
Explanation:
Data Cloud is a data platform that can help customers connect, prepare, harmonize, unify, query, analyze, and act on their data across various Salesforce and external sources. Some of the use cases that are considered a good fit for Data Cloud are:
To ingest and unify data from various sources to reconcile customer identity. Data Cloud can help customers bring all their data, whether streaming or batch, into Salesforce and map it to a common data model. Data Cloud can also help customers resolve identities across different channels and sources and create unified profiles of their customers.
To use harmonized data to more accurately understand the customer and business impact. Data Cloud can help customers transform and cleanse their data before using it, and enrich it with calculated insights and related attributes. Data Cloud can also help customers create segments and audiences based on their data and activate them in any channel. Data Cloud can also help customers use AI to predict customer behavior and outcomes.
The other two options are not use cases that are considered a good fit for Data Cloud. Data Cloud does not provide features to create and orchestrate cross-channel marketing messages, as this is typically handled by other Salesforce solutions such as Marketing Cloud. Data Cloud also does not eliminate the need for separate business intelligence and IT data management tools, as it is designed to work with them and complement their capabilities.
Learn How Data Cloud Works
About Salesforce Data Cloud
Discover Use Cases for the Platform
Understand Common Data Analysis Use Cases
NEW QUESTION # 126
A consultant is setting up Data Cloud for a multi-brand organization and is using data spaces to segregate its data for various brands.
While starting the mapping of a data stream, the consultant notices that they cannot map the object for one of the brands.
What should the consultant do to make the object available for a new data space?
Answer: A
Explanation:
When setting up Data Cloud for a multi-brand organization, if a consultant cannot map an object for one of the brands during data stream setup, they should navigate to the Data Space tab and select the object to include it in the new data space. Here's why:
Understanding the Issue
The consultant is using data spaces to segregate data for different brands.
While mapping a data stream, they notice that an object is unavailable for one of the brands.
This indicates that the object has not been associated with the new data space.
Why Navigate to the Data Space Tab?
Data Spaces and Object Availability :
Objects must be explicitly added to a data space before they can be used in mappings or transformations within that space.
If an object is missing, it means it has not been included in the data space configuration.
Solution Approach :
By navigating to the Data Space tab , the consultant can add the required object to the new data space.
This ensures the object becomes available for mapping and use in the data stream.
Steps to Resolve the Issue
Step 1: Navigate to the Data Space Tab
Go to Data Cloud > Data Spaces and locate the new data space for the brand.
Step 2: Add the Missing Object
Select the data space and click on Edit .
Add the required object (e.g., a Data Model Object or Data Lake Object) to the data space.
Step 3: Save and Verify
Save the changes and return to the data stream setup.
Verify that the object is now available for mapping.
Step 4: Complete the Mapping
Proceed with mapping the object in the data stream.
Why Not Other Options?
A). Create a new data stream and map the second data stream to the data space :Creating a new data stream is unnecessary if the issue is simply object availability in the data space.
B). Copy data from the default data space to a new DMO using the Data Copy feature and link this DMO to the new data space :This is overly complex and not required if the object can simply be added to the data space.
C). Create a batch transform to split data between different data spaces :Batch transforms are used for data processing, not for resolving object availability issues.
Conclusion
The correct solution is to navigate to the Data Space tab and select the object to include it in the new data space . This ensures the object is available for mapping and resolves the issue efficiently.
NEW QUESTION # 127
......
Valid Data-Con-101 Test Camp: https://www.pass4leader.com/Salesforce/Data-Con-101-exam.html
BONUS!!! Download part of Pass4Leader Data-Con-101 dumps for free: https://drive.google.com/open?id=1334KYbNQLxmoIIezLJkOcZSptGmTgi-H