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| Certification Vendor: | Salesforce |
|---|---|
| Exam Name: | Salesforce Certified Data 360 Consultant |
| Exam Number: | Data-Con-101 |
| Exam Price: | $200 USD |
| Related Certifications: | Salesforce Certified Data Architect Salesforce Certified Administrator |
| Passing Score: | 63% |
| Certificate Validity Period: | 3 years |
| Exam Duration: | 90 minutes |
| Exam Format: | Multiple Choice, Multiple Select |
| Available Languages: | English |
| 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 # 31
When trying to disconnect a data source an error will be generated if it has which two dependencies associated with it?
Choose 2 answers
Answer: A,D
Explanation:
When disconnecting a data source in Salesforce Data Cloud, the system checks for active dependencies that rely on the data source. Based on Salesforce's official documentation (Disconnect a Data Source), the error occurs if the data source has data streams or segments associated with it. Here's the breakdown:
Key Dependencies That Block Disconnection
Data Stream (Option B):
Why It Matters:
A data stream is the pipeline that ingests data from the source into Data Cloud. If an active data stream is connected to the data source, disconnecting the source will fail because the stream depends on it for ongoing data ingestion.
Resolution:
Delete or pause the data stream first.
Documentation Reference:
"Before disconnecting a data source, delete all data streams that are associated with it." (Salesforce Help Article) Segment (Option C):
Why It Matters:
Segments built using data from the source will reference that data source. Disconnecting the source would orphan these segments, so the system blocks the action.
Resolution:
Delete or modify segments that depend on the data source.
Documentation Reference:
"If there are segments that use data from the data source, you must delete those segments before disconnecting the data source." (Salesforce Help Article) Why Other Options Are Incorrect Activation (A):
Activations send segments to external systems (e.g., Marketing Cloud) but do not directly depend on the data source itself. The dependency chain is Segment → Activation, not Data Source → Activation.
Activation Target (D):
Activation targets (e.g., Marketing Cloud) are destinations and do not tie directly to the data source.
Steps to Disconnect a Data Source
Delete Dependent Segments:
Navigate to Data Cloud > Segments and remove any segments built using the data source.
Delete or Pause Data Streams:
Go to Data Cloud > Data Streams and delete streams linked to the data source.
Disconnect the Data Source:
Once dependencies are resolved, disconnect the source via Data Cloud > Data Sources.
NEW QUESTION # 32
When is it generally preferred to use a formula over a transform in Data 360?
Answer: C
Explanation:
A formula field is appropriate when the requirement is a straightforward field-level derivation from values already present in a data stream. Salesforce allows formula fields to reference source fields, functions, operators, and literal values, which fits simple arithmetic, text manipulation, type conversion, and similar row- level logic. That makes B the best answer. Batch data transforms are the stronger tool when the work requires operations such as joins, aggregation, appending data, multi-step transformations, or processing logic across objects and rows. Salesforce's transform guidance specifically identifies joins and aggregations as heavier operations, while formula operations are comparatively lightweight. The distinction is therefore one of processing scope: use a formula for simple per-record derivation, and use a transform when the logic requires broader data-shaping operations.
NEW QUESTION # 33
A healthcare client wants to make use of identity resolution, but does not want to risk unifying profiles that may share certain personally identifying information (PII).
Which matching rule criteria should a consultant recommend for the most accurate matching results?
Answer: C
Explanation:
Identity resolution is the process of linking data from different sources into a unified profile of a customer or an individual. Identity resolution uses matching rules to compare the attributes of different records and determine if they belong to the same person. Matching rules can be based on exact or fuzzy matching of various attributes, such as name, email, phone, address, or custom identifiers. A healthcare client who wants to use identity resolution, but does not want to risk unifying profiles that may share certain personally identifying information (PII), such as name or email, should use a matching rule criteria that is based on a unique and reliable identifier that is specific to the healthcare domain. One such identifier is the patient ID, which is a unique number assigned to each patient by a healthcare provider or system. By using the party identification on patient ID as a matching rule criteria, the healthcare client can ensure that only records that have the same patient ID are matched and unified, and avoid false positives or false negatives that may occur due to common or similar names or emails. The party identification on patient ID is also a secure and compliant way of handling sensitive healthcare data, as it does not expose or share any PII that may be subject to data protection regulations or standards. References: Configure Identity Resolution Rulesets, A framework of identity resolution: evaluating identity attributes and methods
NEW QUESTION # 34
How can a consultant modify attribute names to match a naming convention in Cloud File Storage targets?
Answer: B
Explanation:
A Cloud File Storage target is a type of data action target in Data Cloud that allows sending data to a cloud storage service such as Amazon S3 or Google Cloud Storage. When configuring an activation to a Cloud File Storage target, a consultant can modify the attribute names to match a naming convention by setting preferred attribute names in Data Cloud. Preferred attribute names are aliases that can be used to control the field names in the target file. They can be set for each attribute in the activation configuration, and they will override the default field names from the data model object. The other options are incorrect because they do not affect the field names in the target file. Using a formula field to update the field name in an activation will not change the field name, but only the field value. Updating attribute names in the data stream configuration will not affect the existing data lake objects or data model objects. Updating field names in the data model object will change the field names for all data sources and activations that use the object, which may not be desirable or consistent. References: Preferred Attribute Name, Create a Data Cloud Activation Target, Cloud File Storage Target
NEW QUESTION # 35
The Salesforce CRM Connector is configured and the Case object data stream is set up. Subsequently, a new custom field named Business Priority is created on the Case object in Salesforce CRM. However, the new field is not available when trying to add it to the data stream.
Which statement addresses the cause of this issue?
Answer: B
Explanation:
The Salesforce CRM Connector uses the Salesforce Integration User to access the data from the Salesforce CRM org. The Integration User must have the Read permission on the fields that are included in the data stream. If the Integration User does not have the Read permission on the newly created field, the field will not be available for selection in the data stream configuration. To resolve this issue, the administrator should assign the Read permission on the new field to the Integration User profile or permission set. References: Create a Salesforce CRM Data Stream, Edit a Data Stream, Salesforce Data Cloud Full Refresh for CRM, SFMC, or Ingestion API Data Streams
NEW QUESTION # 36
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