DOWNLOAD the newest PassLeader Data-Cloud-Consultant PDF dumps from Cloud Storage for free: https://drive.google.com/open?id=1s8X4L1u179gHUESNjytXGUsoBod4GVTg
In the past few years, Salesforce certification Data-Cloud-Consultant exam has become an influenced computer skills certification exam. However, how to pass Salesforce certification Data-Cloud-Consultant exam quickly and simply? Our PassLeader can always help you solve this problem quickly. In PassLeader we provide the Data-Cloud-Consultant Certification Exam training tools to help you pass the exam successfully. The Data-Cloud-Consultant certification exam training tools contains the latest studied materials of the exam supplied by IT experts.
| Certification Vendor: | Salesforce |
|---|---|
| Exam Name: | Salesforce Certified Data 360 Consultant |
| Exam Number: | Data-Con-101 |
| Exam Price: | $200 USD |
| Real Exam Qty: | 60 |
| Exam Duration: | 90 minutes |
| Certificate Validity Period: | 3 years |
| Related Certifications: | Salesforce Certified Data Architect Salesforce Certified Administrator |
| Exam Format: | Multiple Select, Multiple Choice |
| Available Languages: | English |
| Passing Score: | 63% |
| 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 |
>> Data-Cloud-Consultant Exam Lab Questions <<
Quality first, service second! We put much attention and resources on our products quality of Data-Cloud-Consultant real questions so that our pass rate of the Data-Cloud-Consultant training braindump is reaching as higher as 99.37%. As for service we introduce that "Pass Guaranteed". We believe one customer feel satisfied; the second customer will come soon for our Data-Cloud-Consultant Study Guide. If you want to have a look at our Data-Cloud-Consultant practice questions before your paymnet, you can just free download the demo to have a check on the web.
| Topic | Details |
|---|---|
| Topic 1 |
|
| Topic 2 |
|
| Topic 3 |
|
NEW QUESTION # 70
A consultant at Northern Trail Outfitters is implementing Data Cloud and creating an activation target for their segment.
For activation membership, which object should the consultant choose?
Answer: A
Explanation:
In Salesforce Data Cloud, activation membership refers to the individuals or records that qualify for a specific segment and are eligible to be activated (e.g., sent to external systems like Marketing Cloud). Here's the breakdown:
Data Segmentation Object (Option C):
Segments in Data Cloud are stored as Data Segmentation Objects, which include metadata about the segment (e.g., logic, filters) and its membership (the records/individuals that meet the criteria).
When configuring an activation target, you select the segment (and its membership) stored in the Data Segmentation Object to send to downstream systems.
Salesforce's official documentation confirms that segments and their memberships are managed through the Data Segmentation Object (Source: Salesforce Data Cloud Implementation Guide, "Segmentation and Activation").
Why Other Options Are Incorrect:
Data Model Object (A): Represents the structured data model (e.g., standard or custom objects like Individual or Account) but does not store segment membership.
Data Activation Object (B): A distractor; no such standard object exists in Data Cloud. Activation is a process that uses the Data Segmentation Object.
Data Lake Object (D): Stores raw, unprocessed data ingested into Data Cloud and is not directly used for activation.
Conclusion: For activation membership, the consultant must select the Data Segmentation Object to reference the segment's qualified members.
NEW QUESTION # 71
During a privacy law discussion with a customer, the customer indicates they need to honor requests for the right to be forgotten. The consultant determines that Consent API will solve this business need.
Which two considerations should the consultant inform the customer about?
Choose 2 answers
Answer: C,D
Explanation:
When advising a customer about using the Consent API in Salesforce to comply with requests for the right to be forgotten, the consultant should focus on two primary considerations:
Data deletion requests are submitted for Individual profiles (Answer C): The Consent API in Salesforce is designed to handle data deletion requests specifically for individual profiles. This means that when a request is made to delete data, it is targeted at the personal data associated with an individual's profile in the Salesforce system. The consultant should inform the customer that the requests must be specific to individual profiles to ensure accurate processing and compliance with privacy laws.
Data deletion requests submitted to Data Cloud are passed to all connected Salesforce clouds (Answer D):
When a data deletion request is made through the Consent API in Salesforce Data Cloud, the request is not limited to the Data Cloud alone. Instead, it propagates through all connected Salesforce clouds, such as Sales Cloud, Service Cloud, Marketing Cloud, etc. This ensures comprehensive compliance with the right to be forgotten across the entire Salesforce ecosystem. The customer should be aware that the deletion request will affect all instances of the individual's data across the connected Salesforce environments.
NEW QUESTION # 72
A consultant is working in a customer's Data Cloud org and is asked to delete the existing identity resolution ruleset.
Which two impacts should the consultant communicate as a result of this action?
Choose 2 answers
Answer: A,D
Explanation:
Deleting an identity resolution ruleset has two major impacts that the consultant should communicate to the customer. First, it will permanently remove all unified customer data that was created by the ruleset, meaning that the unified profiles and their attributes will no longer be available in Data Cloud1. Second, it will eliminate dependencies on data model objects that were used by the ruleset, meaning that the data model objects can be modified or deleted without affecting the ruleset1. These impacts can have significant consequences for the customer's data quality, segmentation, activation, and analytics, so the consultant should advise the customer to carefully consider the implications of deleting a ruleset before proceeding. The other options are incorrect because they are not impacts of deleting a ruleset. Option A is incorrect because deleting a ruleset will not remove all individual data, but only the unified customer data. The individual data from the source systems will still be available in Data Cloud1. Option D is incorrect because deleting a ruleset will not remove all source profile data, but only the unified customer data. The source profile data from the data streams will still be available in Data Cloud1. References: Delete an Identity Resolution Ruleset
NEW QUESTION # 73
Northern Trail Outfitters wants to use some of its Marketing Cloud data in Data Cloud.
Which engagement channel data will require custom integration?
Answer: A
Explanation:
Explanation
CloudPage is a web page that can be personalized and hosted by Marketing Cloud. It is not one of the standard engagement channels that Data Cloud supports out of the box. To use CloudPage data in Data Cloud, a custom integration is required. The other engagement channels (SMS, email, and mobile push) are supported by Data Cloud and can be integratedusing the Marketing Cloud Connector or the Marketing Cloud API. References: Data Cloud Overview, Marketing Cloud Connector, Marketing Cloud API
NEW QUESTION # 74
What is the role of artificial intelligence (AI) in Data Cloud?
Answer: B
Explanation:
* Role of AI in Data Cloud: Artificial intelligence (AI) plays a crucial role in Salesforce Data Cloud by leveraging data to generate insights and predictions that enhance customer interactions.
* Insights and Predictions:
AI Algorithms: Use machine learning algorithms to analyze vast amounts of customer data.
Predictive Analytics: Provide predictive insights, such as customer behavior trends, preferences, and potential future actions.
* Enhancing Customer Interactions:
Personalization: AI helps in creating personalized experiences by predicting customer needs and preferences.
Efficiency: Enables proactive customer service by predicting issues and suggesting solutions before customers reach out.
Marketing: Improves targeting and segmentation, ensuring that marketing efforts are directed towards the most promising leads and customers.
* Use Cases:
Recommendation Engines: Suggest products or services based on past behavior and preferences.
Churn Prediction: Identify customers at risk of leaving and engage them with retention strategies.
* Reference:
Salesforce Data Cloud AI Capabilities
Salesforce AI for Customer Interaction
NEW QUESTION # 75
......
Valid Data-Cloud-Consultant Exam Prep: https://www.passleader.top/Salesforce/Data-Cloud-Consultant-exam-braindumps.html
BTW, DOWNLOAD part of PassLeader Data-Cloud-Consultant dumps from Cloud Storage: https://drive.google.com/open?id=1s8X4L1u179gHUESNjytXGUsoBod4GVTg