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| Certification Vendor: | Salesforce |
|---|---|
| Exam Name: | Salesforce Certified Data Cloud Consultant |
| Exam Number: | Data-Con-101 |
| Exam Price: | USD 200 |
| Certificate Validity Period: | Maintenance required annually (Trailhead modules) |
| Exam Duration: | 105 minutes |
| Real Exam Qty: | 60 (plus up to 5 unscored questions) |
| Passing Score: | 62% |
| Available Languages: | English |
| Related Certifications: | Salesforce Certified AI Associate |
| Exam Format: | Multiple-select, Multiple-choice |
| Sample Questions: | Salesforce Data-Con-101 Sample Questions |
| Exam Way: | Online (Webassessor/PSI) or Onsite (Pearson VUE) |
| Pre Condition: | No hard prerequisites; recommended 2+ years of experience in data strategy and data modeling |
| Official Syllabus URL: | https://trailhead.salesforce.com/credentials/datacloudconsultant |
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NEW QUESTION # 19
A consultant is connecting sales order data to Data Cloud and considers whether to use the Profile, Engagement, or Other categories to map the DLO. The consultant chooses to map the DLO called Order- Headers to the Sales Order DMO using the Engagement category.
What is the impact of this action on future mappings?
Answer: A
Explanation:
Data Lake Objects (DLOs) and Data Model Objects (DMOs): In Salesforce Data Cloud, DLOs are mapped to DMOs to organize and structure data. Categories like Profile, Engagement, and Other define how these mappings are used.
Engagement Category: Mapping a DLO to the Engagement category indicates that the data is related to customer interactions and activities.
Impact on Future Mappings:
Engagement Category Restriction: When a DLO like Order-Headers is mapped to the Sales Order DMO under the Engagement category, future mappings of the Sales Order DMO are restricted to Engagement category DLOs.
Category Assignment: The Sales Order DMO is assigned to the Engagement category, meaning only DLOs categorized as Engagement can be mapped to it in the future.
Benefits:
Consistency: Ensures consistent data categorization and usage, aligning data with its intended purpose.
Accuracy: Helps in maintaining the integrity of data mapping and ensures that engagement-related data is accurately captured and utilized.
References:
Salesforce Data Cloud Mapping
Salesforce Data Cloud Categories
NEW QUESTION # 20
A customer creates a large segment of customers that placed orders in the last 30 days, and adds related attributes from the... to the activation. Upon checking the activation in Marketing Cloud, they notice It contains orders that are older than 30 days.
What should a consultant do to resolve this issue?
Answer: C
Explanation:
The issue arises because the activated segment in Marketing Cloud contains orders older than 30 days, despite the segment being defined to include only recent orders. The best solution is to apply a filter to the Purchase Order Date to exclude older orders. Here's why:
Understanding the Issue
The segment includes related attributes from the purchase order data.
Despite filtering for orders placed in the last 30 days, older orders are appearing in the activation.
Why Apply a Filter to Purchase Order Date?
Root Cause :
The related attributes (e.g., purchase order details) may not be filtered by the same criteria as the segment.
Without a specific filter on the Purchase Order Date , older orders may inadvertently be included.
Solution Approach :
Applying a filter directly to the Purchase Order Date ensures that only orders within the desired timeframe are included in the activation.
Other Options Are Less Suitable :
A). Use data graphs that contain only 30 days of data : Data graphs are not typically used to filter data for activations.
B). Apply a data space filter to exclude orders older than 30 days : Data space filters apply globally and may unintentionally affect other use cases.
D). Use SQL in Marketing Cloud Engagement to remove orders older than 30 days : This is a reactive approach and does not address the root cause in Data Cloud.
Steps to Resolve the Issue
Step 1: Review the Segment Definition
Confirm that the segment filters for orders placed in the last 30 days.
Step 2: Add a Filter to Purchase Order Date
Modify the activation configuration to include a filter on the Purchase Order Date , ensuring only orders within the last 30 days are included.
Step 3: Test the Activation
Publish the segment again and verify that the activation in Marketing Cloud contains only the desired orders.
Conclusion
By applying a filter to the Purchase Order Date , the consultant ensures that only orders placed in the last 30 days are included in the activation, resolving the issue effectively.
NEW QUESTION # 21
A company is seeking advice from a consultant on how to address the challenge of having multiple leads and contacts in Salesforce that share the same email address. The consultant wants to provide a detailed and comprehensive explanation on how Data Cloud can be leveraged to effectively solve this issue.
What should the consultant highlight to address this company's business challenge?
Answer: B
Explanation:
Issue Overview: When multiple leads and contacts share the same email address in Salesforce, it can lead to data duplication, inaccurate customer views, and inefficient marketing and sales efforts.
Data Cloud Identity Resolution: Salesforce Data Cloud offers Identity Resolution as a powerful tool to address this issue. It helps in merging and unifying data from multiple sources to create a single, comprehensive customer profile.
Process:
Data Ingestion: Import lead and contact data into Salesforce Data Cloud.
Identity Resolution Rules: Configure Identity Resolution rules to match and merge records based on key identifiers like email addresses.
Unification: The tool consolidates records that share the same email address, eliminating duplicates and ensuring a single view of each customer.
Continuous Updates: As new data comes in, Identity Resolution continuously updates and maintains the unified profiles.
Benefits:
Accurate Customer View: Reduces duplicate records and provides a complete view of each customer's interactions and history.
Improved Efficiency: Streamlines marketing and sales efforts by targeting a unified customer profile.
References:
Salesforce Data Cloud Identity Resolution
Salesforce Help: Identity Resolution Overview
NEW QUESTION # 22
A customer has a Master Customer table from their CRM to ingest into Data Cloud. The table contains a name and primary email address, along with other personally Identifiable information (Pll).
How should the fields be mapped to support identity resolution?
Answer: A
Explanation:
To support identity resolution in Data Cloud, the fields from the Master Customer table should be mapped to the standard data model objects that are designed for this purpose. The Individual object is used to store the name and other personally identifiable information (PII) of a customer, while the Contact Phone Email object is used to store the primary email address and other contact information of a customer. These objects are linked by a relationship field that indicates the contact information belongs to the individual. By mapping the fields to these objects, Data Cloud can use the identity resolution rules to match and reconcile the profiles from different sources based on the name and email address fields. The other options are not recommended because they either create a new custom object that is not part of the standard data model, or map all fields to the Customer object that is not intended for identity resolution, or map all fields to the Individual object that does not have a standard email address field. References: Data Modeling Requirements for Identity Resolution, Create Unified Individual Profiles
NEW QUESTION # 23
A new user of Data Cloud only needs to be able to review individual rows of ingested data and validate that it has been modeled successfully to its linked data model object. The user will also need to make changes if required.
What is the minimum permission set needed to accommodate this use case?
Answer: B
Explanation:
The Data Cloud User permission set is the minimum permission set needed to accommodate this use case.
The Data Cloud User permission set grants access to the Data Explorer feature, which allows the user to review individual rows of ingested data and validate that it has been modeled successfully to its linked data model object. The user can also make changes to the data model object fields, such as adding or removing fields, changing field types, or creating formula fields. The Data Cloud User permission set does not grant access to other Data Cloud features or tasks, such as creating data streams, creating segments, creating activations, or managing users. The other permission sets are either too restrictive or too permissive for this use case. The Data Cloud for Marketing Specialist permission set only grants access to the segmentation and activation features, but not to the Data Explorer feature. The Data Cloud Admin permission set grants access to all Data Cloud features and tasks, including the Data Explorer feature, but it is more than what the user needs. The Data Cloud for Marketing Data Aware Specialist permission set grants access to the Data Explorer feature, but also to the segmentation and activation features, which are not required for this use case. References: Data Cloud Standard Permission Sets, Data Explorer, Set Up Data Cloud Unit
NEW QUESTION # 24
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