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Salesforce Certified Data 360 Consultant (Data-Con-101) Sample Questions (Q55-Q60):

NEW QUESTION # 55
Cumulus Financial segregates its sales CRM data based on Region for its Data Cloud users. Multiple data spaces are configured: a default space and two additional spaces tailored for EMEA and APAC regions.
EME A sales reps who need temporary access to visualize data for both regions say that they cannot visualize APAC dat a. APAC sales reps can visualize the corresponding segmented data.
Which statement describes the cause of this issue?

A. The EMEA sales reps have not been assigned to the profile associated with the APAC data space.
B. The APAC data space is not associated with any permission set.
C. The EMEA sales reps have not been assigned to the permission set associated with the APAC data space.
D. The APAC data space Is not associated with any profile.

Answer: C

NEW QUESTION # 56
A Data Cloud Consultant Is in the process of setting up data streams for a new service-based data source.
When ingesting Case data, which field is recommended to be associated with the Event Time field?

A. Escalation Date
B. Creation Date
C. Last Modified Date
D. Resolution Date

Answer: B

Explanation:
The Event Time field is a special field type that captures the timestamp of an event in a data stream. It is used to track the chronological order of events and to enable time-based segmentation and activation. When ingesting Case data, the recommended field to be associated with the Event Time field is the Last Modified Date field. This field reflects the most recent update to the case and can be used to measure the case duration, resolution time, and customer satisfaction. The other fields, such as Resolution Date, Escalation Date, or Creation Date, are not as suitable for the Event Time field, as they may not capture the latest status of the case or may not be applicable for all cases. References: Data Stream Field Types, Salesforce Data Cloud Exam Questions

NEW QUESTION # 57
What does the Source Sequence reconciliation rule do in identity resolution?

A. Identifies which individual records should be merged into a unified profile by setting a priority for specific data sources
B. Includes data from sources where the data is most frequently occurring
C. Sets the priority of specific data sources when building attributes in a unified profile, such as a first or last name
D. Identifies which data sources should be used in the process of reconcillation by prioritizing the most recently updated data source

Answer: C

Explanation:
The Source Sequence reconciliation rule sets the priority of specific data sources when building attributes in a unified profile, such as a first or last name. This rule allows you to define which data source should be used as the primary source of truth for each attribute, and which data sources should be used as fallbacks in case the primary source is missing or invalid. For example, you can set the Source Sequence rule to use data from Salesforce CRM as the first priority, data from Marketing Cloud as the second priority, and data from Google Analytics as the third priority for the first name attribute. This way, the unified profile will use the first name value from Salesforce CRM if it exists, otherwise it will use the value from Marketing Cloud, and so on. This rule helps you to ensure the accuracy and consistency of the unified profile attributes across different data sources. Reference: Salesforce Data Cloud Consultant Exam Guide, Identity Resolution, Reconciliation Rules

NEW QUESTION # 58
A consultant is discussing the benefits of Data Cloud with a customer that has multiple disjointed data sources.
Which two functional areas should the consultant highlight in relation to managing customer data?
Choose 2 answers

A. Data Harmonization
B. Data Marketplace
C. Master Data Management
D. Unified Profiles

Answer: A,D

Explanation:
Explanation
Data Cloud is an open and extensible data platform that enables smarter, more efficient AI with secure access to first-party and industry data1. Two functional areas that the consultant should highlight in relation to managing customer data are:
* Data Harmonization: Data Cloud harmonizes data from multiple sources and formats into a common schema, enabling a single source of truth for customer data1. Data Cloud also applies data quality rules and transformations to ensure data accuracy and consistency.
* Unified Profiles: Data Cloud creates unified profiles of customers and prospects by linking data across different identifiers, such as email, phone, cookie, and device ID1. Unified profiles providea holistic view of customer behavior, preferences, and interactions across channels and touchpoints. The other options are not correct because:
* Master Data Management: Master Data Management (MDM) is a process of creating and maintaining a single, consistent, and trusted source of master data, such as product, customer, supplier, or location data. Data Cloud does not provide MDM functionality, but it can integrate with MDM solutions to enrich customer data.
* Data Marketplace: Data Marketplace is a feature of Data Cloud that allows users to discover, access, and activate data from third-party providers, such as demographic, behavioral, and intent data. Data Marketplace is not a functional area related to managing customer data, but rather a source of external data that can enhance customer data. References:
* Salesforce Data Cloud
* [Data Harmonization for Data Cloud]
* [Unified Profiles for Data Cloud]
* [What is Master Data Management?]
* [Integrate Data Cloud with Master Data Management]
* [Data Marketplace for Data Cloud]

NEW QUESTION # 59
A global ecommerce company uses Salesforce Data 360 to unify customer profiles across multiple systems, including Salesforce CRM, Commerce Cloud, and Snowflake. The business wants to securely leverage unified customer data across Snowflake to support analytics and downstream use cases. The solution must meet the following requirements: Customer data accessed from Snowflake must be read- only; Updates to customer profiles must be available in near real time; The overall architecture must minimize operational complexity and data duplication. Which approach should the Data 360 Consultant recommend?

A. Schedule nightly exports of Data 360 data to cloud storage and load it into Snowflake using automated pipelines.
B. Expose Data 360 data through REST APIs and ingest it into Snowflake using streaming ingestion.
C. Use Data 360 Data Sharing to share unified customer data directly to Snowflake.
D. Replicate Data 360 data into Salesforce standard objects and sync those objects to Snowflake using extract, transform, load (ETL) tools.

Answer: C

Explanation:
The architecture principle is to avoid unnecessary data movement when the external platform can be queried or shared securely. Use Data 360 Data Sharing to share unified customer data directly to Snowflake. aligns with the zero-copy model because Data 360 can expose or query governed data without building another extract pipeline. That is important when teams want freshness, reduced duplication, and lower operational burden while still respecting permissions and platform boundaries. 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. This is the nuance exam questions often test: the platform capability must match both the technical layer and the business timing requirement, not just sound related to data.

NEW QUESTION # 60
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