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Hot Exam Data-Cloud-Consultant PDF - How to Prepare for Salesforce Data-Cloud-Consultant Exam

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It is similar to the Data-Cloud-Consultant desktop-based software, with all the elements of the desktop practice exam. This Data-Cloud-Consultant exam can be accessed from any browser and does not require installation. The Data-Cloud-Consultant questions in the mock test are the same as those in the real exam. And candidates will be able to take the web-based Data-Cloud-Consultant Practice Test immediately through any operating system and browsers.

Salesforce Data-Cloud-Consultant Exam Syllabus Topics:

Topic
Details

Topic 1

Data Cloud Setup and Administration: This topic includes applying Data Cloud permissions, permission sets, org-wide settings. It describes and configures data stream types, and data bundles. Moreover, it discusses use cases for data spaces, creating data spaces, managing and administering Data Cloud using reports, dashboards, flows, packaging, data kits, diagnosing and exploring data using Data Explorer, Profile Explorer, and APIs.

Topic 2

Data Cloud Overview: This topic covers Data Cloud's function, key terminology, business value, typical use cases, the Data Cloud lifecycle, dependencies, and principles of data ethics. These sub-topics provide an overview of Data Cloud's capabilities and applications.

Topic 3

Act on Data: This topic defines activations and their basic use cases, using attributes and related attributes, identifying and analyzing timing dependencies affecting the Data Cloud lifecycle. Additionally it focuses on troubleshooting common problems with activations, and using data actions, including their requirements and intended use cases.

Salesforce Certified Data Cloud Consultant Sample Questions (Q18-Q23):

NEW QUESTION # 18
Which functionality does Data Cloud offer to improve customer support interactions when a customer is working with an agent?

A. Predictive troubleshooting
B. Automated customer service replies
C. Enhanced reporting tools
D. Real-time data integration

Answer: D

Explanation:
Customer Support in Salesforce Data Cloud: One of the key benefits of Salesforce Data Cloud is its ability to enhance customer support by providing comprehensive and real-time customer data.
Real-Time Data Integration: This functionality allows customer support agents to access the most up-to-date customer information, improving their ability to respond to customer inquiries and issues effectively.
Benefits for Customer Support:
* Immediate Access: Agents have real-time access to customer interactions and data, ensuring they can provide accurate and timely support.
* Contextual Information: The integrated data provides a holistic view of the customer's history and preferences, allowing for more personalized support interactions.
Use Case: When a customer contacts support, the agent can see real-time updates on recent purchases, interactions, and any ongoing issues, enabling them to resolve queries quickly and efficiently.
References:
* Salesforce Data Cloud for Customer Support
* Real-Time Data Integration in Salesforce

NEW QUESTION # 19
During discovery, which feature should a consultant highlight for a customer who has multiple data sources and needs to match and reconcile data about individuals into a single unified profile?

A. Data Consolidation
B. Data Cleansing
C. Identity Resolution
D. Harmonization

Answer: C

Explanation:
Explanation
Identity resolution is the feature that allows Data Cloud to match and reconcile data about individuals from multiple data sources into a single unified profile. Identity resolution uses rulesets to define how source profiles are matched and consolidated based on common attributes, such as name, email, phone, or party identifier. Identity resolution enables Data Cloud to create a 360-degree view of each customer across different data sources and systems12. The other options are not the best features to highlight for this customer need because:
* A. Data cleansing is the process of detecting and correcting errors or inconsistencies in data, such as duplicates, missing values, or invalid formats. Data cleansing can improve the quality and accuracy of data, but it does not match or reconcile data across different data sources3.
* B. Harmonization is the process of standardizing and transforming data from different sources into a common format and structure. Harmonization can enable data integration and interoperability, but it does not match or reconcile data across different data sources4.
* C. Data consolidation is the process of combining data from different sources into a single data set or system. Data consolidation can reduce data redundancy and complexity, but it does not match or reconcile data across different data sources5. References: 1: Data and Identity in Data Cloud | Salesforce Trailhead, 2: Data Cloud Identiy Resolution | Salesforce AI Research, 3: [Data Cleansing - Salesforce], 4: [Harmonization - Salesforce], 5: [Data Consolidation - Salesforce]

NEW QUESTION # 20
How should a Data Cloud consultant successfully apply consent during segmentation?

A. Include the Unified Profile during segmentation for any applicable channels of engagement.
B. Include Party Identification for any applicable channels of engagement in the filter criteria for each segment.
C. Include the Consent Status from the golden record during activation for any applicable channels of engagement.
D. Include the Consent Status for any applicable channels of engagement in the filter criteria for each segment.

Answer: D

Explanation:
* Understanding Consent Management in Salesforce Data Cloud:
Consent management is crucial for maintaining compliance with data protection regulations like GDPR and CCPA. It ensures that customer data is used in accordance with their given permissions.
Reference:
* Role of Consent Status in Segmentation:
The Consent Status indicates whether a customer has agreed or opted-in to specific types of communication or data processing activities.
During segmentation, applying the correct consent status ensures that only those customers who have provided the necessary permissions are included in targeted campaigns.
* Implementation of Consent Status in Segmentation:
When creating segments, including the Consent Status in the filter criteria helps to dynamically segment the audience based on their consent preferences.
This ensures compliance and improves the relevance and personalization of communications.
Example: If creating a marketing campaign for email outreach, the segment would only include customers who have a consent status allowing email communication.
* Practical Application:
Go to the segmentation tool within Salesforce Data Cloud.
In the filter criteria, add the Consent Status attribute relevant to the channel of engagement.
Define the values (e.g., Opted-in, Subscribed) to ensure only compliant customer profiles are included.

NEW QUESTION # 21
A customer has outlined requirements to trigger a journey for an abandoned browse behavior. Based on the requirements, the consultant determines they will use streaming insights to trigger a data action to Journey Builder every hour.
How should the consultant configure the solution to ensure the data action is triggered at the cadence required?

A. Set the activation schedule to hourly.
B. Set the journey entry schedule to run every hour.
C. Configure the data to be ingested in hourly batches.
D. Set the insights aggregation time window to 1 hour.

Answer: B

NEW QUESTION # 22
A consultant wants to ensure that every segment managed by multiple brand teams adheres to the same set of exclusion criteria, that are updated on a monthly basis.
What is the most efficient option to allow for this capability?

A. Create, publish, and deploy a data kit.
B. Create a nested segment.
C. Create a segment and copy it for each brand.
D. Create a reusable container block with common criteria.

Answer: D

Explanation:
The most efficient option to allow for this capability is to create a reusable container block with common criteria. A container block is a segment component that can be reused across multiple segments. A container block can contain any combination of filters, nested segments, and exclusion criteria. A consultant can create a container block with the exclusion criteria that apply to all the segments managed by multiple brand teams, and then add the container block to each segment. This way, the consultant can update the exclusion criteria in one place and have them reflected in all the segments that use the container block.
The other options are not the most efficient options to allow for this capability. Creating, publishing, and deploying a data kit is a way to share data and segments across different data spaces, but it does not allow for updating the exclusion criteria on a monthly basis. Creating a nested segment is a way to combine segments using logical operators, but it does not allow for excluding individuals based on specific criteria. Creating a segment and copying it for each brand is a way to create multiple segments with the same exclusion criteria, but it does not allow for updating the exclusion criteria in one place.
Reference:
Create a Container Block
Create a Segment in Data Cloud
Create and Publish a Data Kit
Create a Nested Segment

NEW QUESTION # 23
......

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