그리고 Fast2test Salesforce-Data-Cloud 시험 문제집의 전체 버전을 클라우드 저장소에서 다운로드할 수 있습니다: https://drive.google.com/open?id=1LsoY_N7OOMLsYJFdmByr0PUiPJFKcxii
Fast2test에는 IT인증시험의 최신Salesforce Salesforce-Data-Cloud학습가이드가 있습니다. Fast2test 는 여러분들이Salesforce Salesforce-Data-Cloud시험에서 패스하도록 도와드립니다. Salesforce Salesforce-Data-Cloud시험준비시간이 충분하지 않은 분은 덤프로 철저한 시험대비해보세요. 문제도 많지 않고 깔끔하게 문제와 답만으로 되어있어 가장 빠른 시간내에Salesforce Salesforce-Data-Cloud시험합격할수 있습니다.
| Section | Weight | Objectives |
|---|---|---|
| Data Ingestion and Modeling | 20% | - Transformation and mapping - Ingestion from various sources - Data validation and inspection - Data modeling best practices |
| Act on Data | 18% | - Attribute usage and management - Process automation and triggering - Activation concepts and use cases - Troubleshooting activations |
| Segmentation and Insights | 18% | - Segment membership analysis - Calculated vs streaming insights - Insight implementation - Segment creation and configuration |
| Data Cloud Setup and Administration | 12% | - Permissions and access control - Monitoring and maintenance tools - Data spaces and configuration - Data streams and data bundles |
| Data Cloud Overview | 18% | - Core concepts and terminology - Architecture and ecosystem - Business value and use cases |
| Identity Resolution | 14% | - Unified profile creation - Matching and reconciliation rules - Conflict resolution - Identity use cases |
>> Salesforce-Data-Cloud합격보장 가능 공부 <<
여러분은 먼저 우리 Fast2test사이트에서 제공되는Salesforce인증Salesforce-Data-Cloud시험덤프의 일부분인 데모를 다운받으셔서 체험해보세요. Fast2test는 여러분이 한번에Salesforce인증Salesforce-Data-Cloud시험을 패스하도록 하겠습니다. 만약Salesforce인증Salesforce-Data-Cloud시험에서 떨어지셨다고 하면 우리는 덤프비용전액 환불입니다.
질문 # 125
Where is value suggestion for attributes in segmentation enabled when creating the DMO?
정답：C
설명：
Value suggestion for attributes in segmentation is a feature that allows you to see and select the possible values for a text field when creating segment filters. You can enable or disable this feature for each data model object (DMO) field in the DMO record home. Value suggestion can be enabled for up to 500 attributes for your entire org. It can take up to 24 hours for suggested values to appear. To use value suggestion when creating segment filters, you need to drag the attribute onto the canvas and start typing in the Value field for an attribute. You can also select multiple values for some operators. Value suggestion is not available for attributes with more than 255 characters or for relationships that are one-to-many (1:N). References: Use Value Suggestions in Segmentation, Considerations for Selecting Related Attributes
질문 # 126
An organization is looking to use Data Cloud to unify data across 5 Salesforce orgs, 2 Marketing Cloud accounts, 6 Amazon S3 Buckets, and 4 Personalization datasets. As far as connection limits are concerned, which platform is going to present a challenge?
정답：C
설명：
Explanation
This platform is going to present a challenge in terms of connection limits for Data Cloud. Data Cloud supports up to 3 Marketing Cloud connections per org, which means that only 3 Marketing Cloud accounts can be connected as data sources or activation targets. The other platforms have higher or no limits for connections.
References:https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_limits.htm&type=5
질문 # 127
What is a DMO called if it inherits the name, shape, and semantics of the referenceobject?
정답：A
설명：
A Data Model Object (DMO) that inherits the name, shape, and semantics of the reference object is called a Standard DMO. A reference object is a predefined object in the Data Cloud data model that represents a common entity or concept, such as Individual, Order, or Product. A Standard DMO is a copy of a reference object that you can use to ingest data from a specific source without modifying the original reference object.
A Standard DMO has the same fields and relationships as the reference object, but you can add custom fields or relationships to it if needed. References: Data Model Objects
질문 # 128
A global fashion retailer operates online sales platforms across AMFR, FMFA, and APAC. the data formats for customer, order, and product Information vary by region, and compliance regulations require data to remain unchanged in the original data sources They also require a unified view of customer profiles for real- time personalization and analytics.
Given these requirement, which transformation approach should the company implement to standardise and cleanse incoming data streams?
정답：A
설명：
Given the requirements to standardize and cleanse incoming data streams while keeping the original data unchanged in compliance with regional regulations, the best approach is to implement batch data transformations . Here's why:
Understanding the Requirements
The global fashion retailer operates across multiple regions (AMER, EMEA, APAC), each with varying data formats for customer, order, and product information.
Compliance regulations require the original data to remain unchanged in the source systems.
The company needs a unified view of customer profiles for real-time personalization and analytics.
Why Batch Data Transformations?
Batch Transformations for Standardization :
Batch data transformations allow you to process large volumes of data at scheduled intervals.
They can standardize and cleanse data (e.g., converting different date formats, normalizing product names) without altering the original data in the source systems.
Compliance with Regulations :
Since the original data remains unchanged in the source systems, batch transformations comply with regional regulations.
The transformed data is stored in a separate layer (e.g., a new Data Lake Object or Unified Profile) for downstream use.
Unified Customer Profiles :
After transformation, the cleansed and standardized data can be used to create a unified view of customer profiles in Salesforce Data Cloud.
This enables real-time personalization and analytics across regions.
Steps to Implement This Solution
Step 1: Identify Transformation Needs
Analyze the differences in data formats across regions (e.g., date formats, currency, product IDs).
Define the rules for standardization and cleansing (e.g., convert all dates to ISO format, normalize product names).
Step 2: Create Batch Transformations
Use Data Cloud's Batch Transform feature to apply the defined rules to incoming data streams.
Schedule the transformations to run at regular intervals (e.g., daily or hourly).
Step 3: Store Transformed Data Separately
Store the transformed data in a new Data Lake Object (DLO) or Unified Profile.
Ensure the original data remains untouched in the source systems.
Step 4: Enable Unified Profiles
Use the transformed data to create a unified view of customer profiles in Salesforce Data Cloud.
Leverage this unified view for real-time personalization and analytics.
Why Not Other Options?
A). Implement streaming data transformations :Streaming transformations are designed for real-time processing but may not be suitable for large-scale standardization and cleansing tasks. Additionally, they might not align with compliance requirements to keep the original data unchanged.
C). Transform data before ingesting into Data Cloud :Transforming data before ingestion would require modifying the original data in the source systems, violating compliance regulations.
D). Use Apex to transform and cleanse data :Using Apex is overly complex and resource-intensive for this use case. Batch transformations are a more efficient and scalable solution.
Conclusion
By implementing batch data transformations , the global fashion retailer can standardize and cleanse its data while complying with regional regulations and enabling a unified view of customer profiles for real-time personalization and analytics.
질문 # 129
What is a unique requirement of a Streaming Insight query?
정답：D
설명：
Explanation
A window function is a unique requirement of a Streaming Insight query. It defines the time interval for the query to run on the streaming data and the frequency of the query execution.
References:https://help.salesforce.com/s/articleView?id=sf.c360_a_streaming_insights.htm&type=5
질문 # 130
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Fast2test에서 발췌한 Salesforce인증 Salesforce-Data-Cloud덤프는 전문적인 IT인사들이 연구정리한 최신버전 Salesforce인증 Salesforce-Data-Cloud시험에 대비한 공부자료입니다. Salesforce인증 Salesforce-Data-Cloud 덤프에 있는 문제만 이해하고 공부하신다면Salesforce인증 Salesforce-Data-Cloud시험을 한방에 패스하여 자격증을 쉽게 취득할수 있을것입니다.
Salesforce-Data-Cloud최고덤프공부: https://kr.fast2test.com/Salesforce-Data-Cloud-premium-file.html
그리고 Fast2test Salesforce-Data-Cloud 시험 문제집의 전체 버전을 클라우드 저장소에서 다운로드할 수 있습니다: https://drive.google.com/open?id=1LsoY_N7OOMLsYJFdmByr0PUiPJFKcxii