BONUS!!! Download part of PassTorrent Data-Cloud-Consultant dumps for free: https://drive.google.com/open?id=1RMRibY4JtI5jYSXLouJ3S7hvjPnUGEzr
All smart devices are suitable to use Salesforce Certified Data 360 Consultant (Data-Con-101) pdf dumps of PassTorrent. Therefore, you can open this Salesforce Certified Data 360 Consultant (Data-Con-101) real dumps document and study for the Salesforce Data-Cloud-Consultant test at any time from your comfort zone. These Salesforce Data-Cloud-Consultant are updated, and PassTorrent regularly amends the content as per new changes in the Salesforce Data-Cloud-Consultant real certification test.
| Certification Vendor: | Salesforce |
|---|---|
| Exam Name: | Salesforce Certified Data Cloud Consultant Exam |
| Exam Number: | Data-Cloud-Consultant |
| Available Languages: | English |
| Recommended Training: | Salesforce Trailhead Data Cloud Learning |
| Exam Registration: | Salesforce Credentials |
| Sample Questions: | Salesforce Data-Cloud-Consultant Sample Questions |
| Official Syllabus URL: | https://trailhead.salesforce.com/credentials |
>> Data-Cloud-Consultant Reliable Dumps Book <<
The Salesforce modern job market is becoming more and more competitive and challenging and if you are not ready for it then you cannot pursue a rewarding career. Take a smart move right now and enroll in the Salesforce Certified Data 360 Consultant (Data-Con-101) (Data-Cloud-Consultant) certification exam and strive hard to pass the Salesforce Certified Data 360 Consultant (Data-Con-101) (Data-Cloud-Consultant) certification exam. The Salesforce Certified Data 360 Consultant (Data-Con-101) (Data-Cloud-Consultant) certification exam offers you a unique opportunity to learn new in-demand skills and knowledge.
| Topic | Details |
|---|---|
| Topic 1 |
|
| Topic 2 |
|
| Topic 3 |
|
| Topic 4 |
|
NEW QUESTION # 29
Which configuration supports separate Amazon S3 buckets for data ingestion and activation?
Answer: D
Explanation:
Explanation
To support separate Amazon S3 buckets for data ingestion and activation, you need to configure dedicated S3 data sources in Data Cloud setup. Data sources are used to identify the origin and type of the data that you ingest into Data Cloud1. You can create different data sources for each S3 bucket that you want to use for ingestion or activation, and specify the bucket name, region, and access credentials2. This way, you can separate and organize your data by different criteria, such as brand, region, product, or business unit3. The other options are incorrect because they do not support separate S3 buckets for data ingestion and activation. Multiple S3 connectors are not a valid configuration in Data Cloud setup, as there is only one S3 connector available4. Dedicated S3 data sources in activation setup are not a valid configuration either, as activation setup does not require data sources, but activation targets5. Separate user credentials for data stream and activation target are not sufficient to support separate S3 buckets, as you also need to specify the bucket name and region for each data source2. References: Data Sources Overview, Amazon S3 Storage Connector, Data Spaces Overview, Data Streams Overview, Data Activation Overview
NEW QUESTION # 30
What is a Data 360 use case for improving the patient experience in the Healthcare and Life Sciences sector?
Answer: A
Explanation:
The industry value comes from applying unified, governed data to a patient-centered outcome rather than an unrelated operational task. Activating a Unified Health Score to provide a holistic view of patient wellness and engagement is the useful Data 360 pattern because it applies unified data to a healthcare journey outcome:
better context, more relevant engagement, and a complete view of wellness or interaction history. 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 # 31
A customer is trying to activate data from Data Cloud to an Amazon S3 Cloud File Storage Bucket.
Which authentication type should the consultant recommend to connect to the S3 bucket from Data Cloud?
Answer: B
Explanation:
Explanation
To use the Amazon S3 Storage Connector in Data Cloud, the consultant needs to provide the S3 bucket name, region, and access key and secret key for authentication. The access key and secret key are generated by AWS and can be managed in the IAM console. The other options are not supported by the S3 Storage Connector or by Data Cloud. References: Amazon S3 Storage Connector - Salesforce, How to Use the Amazon S3 Storage Connector in Data Cloud | Salesforce Developers Blog Learn more 1blob:https://www.bing.com/fed40cd6-30db-497b-a587-44e59b9e1f0bhelp.salesforce.com2blob:https://www.bin
NEW QUESTION # 32
A consultant wants to build a new audience in Data Cloud.
Which three criteria can the consultant include when building a segment?
Choose 3 answers
Answer: A,C,E
Explanation:
A segment is a subset of individuals who meet certain criteria based on their attributes and behaviors. A consultant can use different types of criteria when building a segment in Data Cloud, such as:
Direct attributes: These are attributes that describe the characteristics of an individual, such as name, email, gender, age, etc. These attributes are stored in the Profile data model object (DMO) and can be used to filter individuals based on their profile data.
Calculated Insights: These are insights that perform calculations on data in a data space and store the results in a data extension. These insights can be used to segment individuals based on metrics or scores derived from their data, such as customer lifetime value, churn risk, loyalty tier, etc.
Related attributes: These are attributes that describe the relationships of an individual with other DMOs, such as Email, Engagement, Order, Product, etc. These attributes can be used to segment individuals based on their interactions or transactions with different entities, such as email opens, clicks, purchases, etc.
The other two options are not valid criteria for building a segment in Data Cloud. Data stream attributes are attributes that describe the streaming data that is ingested into Data Cloud from various sources, such as Marketing Cloud, Commerce Cloud, Service Cloud, etc. These attributes are not directly available for segmentation, but they can be transformed and stored in data extensions using streaming data transforms. Streaming insights are insights that analyze streaming data in real time and trigger actions based on predefined conditions. These insights are not used for segmentation, but for activation and personalization. Reference: Create a Segment in Data Cloud, Use Insights in Data Cloud, Data Cloud Data Model
NEW QUESTION # 33
Which data stream category type should be assigned in order to use the dataset for date and time-based operations in segmentation and calculated insights?
Answer: A
NEW QUESTION # 34
......
Data-Cloud-Consultant Test Lab Questions: https://www.passtorrent.com/Data-Cloud-Consultant-latest-torrent.html
BONUS!!! Download part of PassTorrent Data-Cloud-Consultant dumps for free: https://drive.google.com/open?id=1RMRibY4JtI5jYSXLouJ3S7hvjPnUGEzr