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As we all know, through the judicial examination, you need to become a lawyer, when the teacher is need through the teachers' qualification examinations. If you want to be an excellent elites in this line, you need to get the Salesforce Certified Data 360 Consultant (Data-Con-101) certification, thus it can be seen through the importance of qualification examination. Only through qualification examination, has obtained the corresponding qualification certificate, we will be able to engage in related work, so the Data-Cloud-Consultant Test Torrent is to help people in a relatively short period of time a great important tool to pass the qualification test. Choose the Data-Cloud-Consultant study tool, can help users quickly analysis in the difficult point, high efficiency of review, and high quality through the Salesforce Certified Data 360 Consultant (Data-Con-101) exam, work for our future employment and increase the weight of the promotion, to better meet the needs of their own development.
| 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 |
| Exam Price: | USD $200 + applicable taxes |
| Passing Score: | 62% - 70% |
| Exam Duration: | 105 minutes |
| Related Certifications: | Salesforce Certified Administrator Salesforce Certified Marketing Cloud Consultant Salesforce Certified Data Architect |
| Certificate Validity Period: | 3 years |
| Exam Format: | Multiple-choice, Scenario-based questions, Multiple-select |
| Real Exam Qty: | 60 (plus up to 5 unscored questions) |
| 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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NEW QUESTION # 66
Northern Trail Outfitters (NTD) creates a calculated insight to compute recency, frequency, monetary {RFM) scores on its unified individuals. NTO then creates a segment based on these scores that it activates to a Marketing Cloud activation target.
Which two actions are required when configuring the activation?
Choose 2 answers
Answer: A,C
NEW QUESTION # 67
A finance company that uses Data Cloud wants to simplify how its users can view all the various channels a customer engages with Which feature should the consultant recommend to meet this requirement?
Answer: B
Explanation:
To simplify how users can view all the various channels a customer engages with, the best solution is to use Data Cloud to connect with analytic tools like Tableau . Here's why and how this works:
Understanding the Requirement
The finance company wants its users to have a consolidated view of all customer engagement channels (e.g., email, social media, website interactions, etc.). This requires:
Aggregating data from multiple sources into a unified platform.
Providing an intuitive and visual way to analyze and interpret the data.
Why Use Data Cloud with Analytic Tools like Tableau?
Data Cloud as a Centralized Data Hub :Salesforce Data Cloud aggregates data from multiple sources (e.g., CRM, Marketing Cloud, external systems) into a unified platform. This ensures that all customer engagement data is available in one place.
Tableau for Advanced Visualization :
Tableau is a powerful analytics and visualization tool that integrates seamlessly with Salesforce Data Cloud.
It allows users to create interactive dashboards and reports that provide a comprehensive view of customer engagement across all channels.
Users can drill down into specific channels, analyze trends, and gain actionable insights without needing advanced technical skills.
Simplified User Experience :By leveraging Tableau's intuitive interface, users can easily explore and understand customer engagement patterns without requiring deep knowledge of the underlying data structure.
Steps to Implement This Solution
Step 1: Ingest Data into Data Cloud
Ensure that all relevant customer engagement data (e.g., website visits, email interactions, social media activity) is ingested into Data Cloud from various sources.
Use Data Streams to bring in data from CRM, Marketing Cloud, and other external systems.
Step 2: Connect Data Cloud to Tableau
Navigate to Setup > Analytics > Tableau CRM in Salesforce.
Configure the integration between Data Cloud and Tableau to enable seamless data flow.
Step 3: Create Dashboards in Tableau
Use Tableau to build dashboards that consolidate customer engagement data from all channels.
Include visualizations such as bar charts, heatmaps, and trend lines to highlight key insights (e.g., most active channels, engagement frequency, etc.).
Step 4: Share Dashboards with Users
Publish the dashboards to Tableau Server or Tableau Online.
Provide access to the relevant users within the finance company so they can view and interact with the dashboards.
Why Not Other Options?
B). Use calculated insights to determine when and how to engage with various customers :While calculated insights are useful for understanding customer behavior, they do not provide a consolidated view of all engagement channels. This option focuses more on decision-making rather than visualization.
C). Create segments based on the ingested data and insights to activate in Marketing Cloud :Segmentation is valuable for targeting specific groups of customers, but it does not address the requirement to view all engagement channels in one place. Segments are more about grouping customers rather than providing a holistic view.
D). Use Data Cloud to ingest data from various available data sources :While ingesting data is a critical first step, it does not solve the problem of simplifying how users view engagement channels. The focus here is on data ingestion, not visualization or analysis.
Conclusion
By connecting Data Cloud with Tableau , the finance company can provide its users with a simplified and visually intuitive way to view all customer engagement channels. This approach lever
NEW QUESTION # 68
The recruiting team at Cumulus Financial wants to identify which candidates have browsed the jobs page on its website at least twice within the last 24 hours. They want the information about these candidates to be available for segmentation in Data Cloud and the candidates added to their recruiting system.
Which feature should a consultant recommend to achieve this goal?
Answer: D
Explanation:
Explanation
A streaming insight is a feature that allows users to create and monitor real-time metrics from streaming data sources, such as web and mobile events. A streaming insight can also trigger data actions, such as sending notifications, creating records, or updating fields, based on the metric values and conditions. Therefore, a streaming insight is the best feature to achieve the goal of identifying candidates who have browsed the jobs page on the website at least twice within the last 24 hours, and adding them to the recruiting system. The other options are incorrect because:
* A streaming data transform is a feature that allows users to transform and enrich streaming data using SQL expressions, such as filtering, joining, aggregating, or calculating values. However, a streaming data transform does not provide the ability to monitor metrics or trigger data actions based on conditions.
* A calculated insight is a feature that allows users to define and calculate multidimensional metrics from data using SQL expressions, such as LTV, CSAT, or average order value. However, a calculated insight is not suitable for real-time data analysis, as it runs on a scheduled basis and does not support data actions.
* A batch data transform is a feature that allows users to create and schedule complex data transformations using a visual editor, such as joining, aggregating, filtering, or appending data.
However, a batch data transform is not suitable for real-time data analysis, as it runs on a scheduled basis and does not support data actions. References: Streaming Insights, Create a Streaming Insight, Use Insights in Data Cloud, Learn About Data Cloud Insights, Data Cloud Insights Using SQL, Streaming Data Transforms, Get Started with Batch Data Transforms in Data Cloud, Transformations for Batch Data Transforms, Batch Data Transforms in Data Cloud: Quick Look, Salesforce Data Cloud: AI CDP.
NEW QUESTION # 69
A Data 360 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?
Answer: A
Explanation:
The design point is to preserve source fidelity while shaping data only where Data 360 processing needs it.
Here, The target field will only hold the date part and ignore the time part. fits because it changes the shape, keying, or refresh behavior at the Data 360 layer instead of forcing the source system to carry an analytics- specific design. In production, this keeps the upstream application simpler and gives the data team a repeatable way to prepare records for mapping, identity resolution, insights, or segmentation. The distractors fall short because they either move the problem into the wrong system, add needless duplication, ignore Data
360 object relationships, or rely on a feature built for a different lifecycle stage. In a real implementation, those choices usually create brittle pipelines, stale data, security exposure, or segments that look correct on paper but fail when activated. Thinking like an architect, the selected option places the logic where Data 360 can govern it and reuse it reliably.
NEW QUESTION # 70
Northern Trail Outfitters is using the Marketing Cloud Starter Data Bundles to bring Marketing Cloud data into Data Cloud.
What are two of the available datasets in Marketing Cloud Starter Data Bundles?
Choose 2 answers
Answer: B,D
Explanation:
The Marketing Cloud Starter Data Bundles are predefined data bundles that allow you to easily ingest data from Marketing Cloud into Data Cloud1. The available datasets in Marketing Cloud Starter Data Bundles are Email, MobileConnect, and MobilePush2. These datasets contain engagement events and metrics from different Marketing Cloud channels, such as email, SMS, and push notifications2. By using these datasets, you can enrich your Data Cloud data model with Marketing Cloud data and create segments and activations based on your marketing campaigns and journeys1. The other options are incorrect because they are not available datasets in Marketing Cloud Starter Data Bundles. Option A is incorrect because Personalization is not a dataset, but a feature of Marketing Cloud that allows you to tailor your content and messages to your audience3. Option C is incorrect because Loyalty Management is not a dataset, but a product of Marketing Cloud that allows you to create and manage loyalty programs for your customers4. References: Marketing Cloud Starter Data Bundles in Data Cloud, Connect Your Data Sources, Personalization in Marketing Cloud, Loyalty Management in Marketing Cloud
NEW QUESTION # 71
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