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| Certification Vendor: | Salesforce |
|---|---|
| Exam Name: | Salesforce Certified Data 360 Consultant |
| Exam Number: | Data-Con-101 |
| Certificate Validity Period: | 3 years |
| Exam Format: | Multiple Choice, Multiple Select |
| Related Certifications: | Salesforce Certified Data Architect Salesforce Certified Administrator |
| Exam Price: | $200 USD |
| Passing Score: | 63% |
| Available Languages: | English |
| Exam Duration: | 90 minutes |
| Real Exam Qty: | 60 |
| Sample Questions: | Salesforce Data-Cloud-Consultant Sample Questions |
| Exam Way: | Online proctored exam |
| Pre Condition: | Recommended: Salesforce Administrator certification and hands-on experience with Data Cloud implementation |
| Official Syllabus URL: | https://trailhead.salesforce.com/credentials/data360consultant |
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NEW QUESTION # 104
A Data Cloud consultant is evaluating the initial phase of the Data Cloud lifecycle for a company.
Which action is essential to effectively begin the Data Cloud lifecycle?
Answer: C
Explanation:
* Data Cloud Lifecycle: The initial phase of the Salesforce Data Cloud lifecycle is critical for setting the foundation for successful data integration and utilization.
* Identifying Use Cases:
Importance: Defining clear use cases helps in understanding the business objectives and how Data Cloud can address them.
Required Data Sources: Identifying the necessary data sources ensures that relevant data is ingested into Data Cloud.
Data Quality: Assessing data quality is essential for accurate and reliable data analysis and insights.
* Actions:
Step 1: Engage with stakeholders to define specific use cases for Data Cloud.
Step 2: Identify and catalog the required data sources for these use cases.
Step 3: Evaluate the quality of data from these sources to ensure they meet the standards for effective data analysis.
* Reference:
Salesforce Data Cloud Implementation Guide
Salesforce Data Cloud Lifecycle
NEW QUESTION # 105
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.
References:
* Learn How Data Cloud Works
* About Salesforce Data Cloud
* Discover Use Cases for the Platform
* Understand Common Data Analysis Use Cases
NEW QUESTION # 106
Which data model subject area defines the revenue or quantity for an opportunity by product family?
Answer: B
Explanation:
Salesforce's Customer 360 Data Model documentation explicitly states that the Sales Order subject defines future revenue or quantity for an opportunity by product family and can roll that information up by territory, management role, or hierarchy. That wording directly maps to option C in this question. The Product subject area describes items that an organization plans to sell or track for service purposes; it does not define opportunity revenue or quantity. Engagement models interactions with parties, such as calls or messages, while Party models people, accounts, and related contact information. Because the question asks specifically about opportunity revenue or quantity organized by product family, Sales Order is the precise subject area defined by the Salesforce data model.
NEW QUESTION # 107
Which consideration related to the way Data Cloud ingests CRM data is true?
Answer: D
Explanation:
The correct answer is D. The CRM Connector allows standard fields to stream into Data Cloud in real time.
This means that any changes to the standard fields in the CRM data source are reflected in Data Cloud almost instantly, without waiting for the next scheduled synchronization. This feature enables Data Cloud to have the most up-to-date and accurate CRM data for segmentation and activation1.
The other options are incorrect for the following reasons:
* A. CRM data can be manually refreshed at any time by clicking the Refresh button on the data stream detail page2. This option is false.
* B. The CRM Connector's synchronization times can be customized to up to 60-minute intervals, not
15-minute intervals3. This option is false.
* C. Formula fields are not refreshed at regular sync intervals, but only at the next full refresh4. A full refresh is a complete data ingestion process that occurs once every 24 hours or when manually triggered.
This option is false.
References:
* 1: Connect and Ingest Data in Data Cloud article on Salesforce Help
* 2: Data Sources in Data Cloud unit on Trailhead
* 3: Data Cloud for Admins module on Trailhead
* 4: [Formula Fields in Data Cloud] unit on Trailhead
* : [Data Streams in Data Cloud] unit on Trailhead
NEW QUESTION # 108
Cumulus Financial uses Data Cloud to segment banking customers and activate them for direct mail via a Cloud File Storage activation. The company also wants to analyze individuals who have been in the segment within the last 2 years.
Which Data Cloud component allows for this?
Answer: B
Explanation:
Data Cloud allows customers to analyze the segment membership history of individuals using the Segment Membership data model object. This object stores information about when an individual joined or left a segment, and can be used to create reports and dashboards to track segment performance over time. Cumulus Financial can use this object to filter individuals who have been in the segment within the last 2 years and compare them with other metrics.
The other options are not Data Cloud components that allow for this analysis. Segment exclusion is a feature that allows customers to remove individuals from a segment based on another segment. Nested segments are segments that are created from other segments using logical operators. Calculated insights are derived attributes that are created from existing data using formulas.
Reference:
Segment Membership Data Model Object
Data Cloud Reports and Dashboards
Create a Segment in Data Cloud
NEW QUESTION # 109
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