Salesforce Data-Cloud-Consultant덤프가고객님께드리는약속Salesforce Certified Data Cloud Consultant
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만약 아직도Salesforce Data-Cloud-Consultant인증시험 위하여 많은 시간과 정력을 소모하며 열심히 공부하고 있습니까? 아직도 어덯게하면Salesforce Data-Cloud-Consultant인증시험을 빠르게 취득할 수 있는 방법을 못찿고 계십니까? 지금DumpTOP에서Salesforce Data-Cloud-Consultant인증시험을 안전하게 넘을 수 있도록 대책을 내드리겠습니다. 아주 신기한 효과가 있을 것입니다.
Salesforce Data-Cloud-Consultant 시험요강: 주제 소개 주제 1 Data Ingestion and Modeling: This topic covers the different transformation capabilities within Data Cloud. It includes describing processes and considerations for data ingestion from various sources, defining, mapping, and modeling data using best practices aligned with identity resolution. Lastly, it discusses using available tools to inspect and validate ingested and modeled data. 주제 2 Identity Resolution: It describes matching and how its rule sets are applied. Furthermore, it discusses reconciling data and its rule sets, the results of identity resolution, and use cases. 주제 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. 주제 4 Solution 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. 주제 5 Segmentation and Insights: This topic defines basic concepts of segmentation and use cases, identifies scenarios for analyzing segment membership, configuring, refining, and maintaining segments within Data Cloud, and differentiating between calculated and streaming insights.
>> Data-Cloud-Consultant최신 업데이트버전 덤프공부
Data-Cloud-Consultant최신 업데이트버전 덤프공부 덤프로 시험정복하기 Salesforce인증Data-Cloud-Consultant시험은 IT인증시험과목중 가장 인기있는 시험입니다. DumpTOP에서는Salesforce인증Data-Cloud-Consultant시험에 대비한 공부가이드를 발췌하여 IT인사들의 시험공부 고민을 덜어드립니다. DumpTOP에서 발췌한 Salesforce인증Data-Cloud-Consultant덤프는 실제시험의 모든 범위를 커버하고 있고 모든 시험유형이 포함되어 있어 시험준비 공부의 완벽한 선택입니다.
최신 Salesforce Data Cloud Data-Cloud-Consultant 무료샘플문제 (Q51-Q56): 질문 # 51 A customer requests that their personal data be deleted. Which action should the consultant take to accommodate this request in Data Cloud?
A. Use the Data Rights Subject Request tool to request deletion of the customer's information. B. Use Consent API to request deletion of the customer's information. C. Use Profile Explorer to delete the customer data from Data Cloud. D. Use a streaming API call to delete the customer's information. 정답：A
설명： Explanation The Data Rights Subject Request tool is a feature that allows Data Cloud users to manage customer requests for data access, deletion, or portability. The tool provides a user interface and an API to create, track, and fulfill data rights requests. The tool also generates a report that contains the customer's personal data and the actions taken to comply with the request. The consultant should use this tool to accommodate the customer's request for data deletion in Data Cloud. References: Data Rights Subject Request Tool, Create a Data Rights Subject Request
질문 # 52 A consultant is helping a beauty company ingest its profile data into Data Cloud. The company's source data includes several fields, such as eye color, skin type, and hair color, that are not fields in the standard Individual data model object (DMO). What should the consultant recommend to map this data to be used for both segmentation and identity resolution?
A. Create a custom DMO with only the additional fields and map it to the standard Individual DMO. B. Create a custom DMO from scratch that has all fields that are needed. C. Create custom fields on the standard Individual DMO. D. Duplicate the standard Individual DMO and add the additional fields. 정답：C
설명： The best option to map the data to be used for both segmentation and identity resolution is to create custom fields on the standard Individual DMO. This way, the consultant can leverage the existing fields and functionality of the Individual DMO, such as identity resolution rulesets, calculated insights, and data actions, while adding the additional fields that are specific to the beauty company's data1. Creating a custom DMO from scratch or duplicating the standard Individual DMO would require more effort and maintenance, and might not be compatible with the existing features of Data Cloud. Creating a custom DMO with only the additional fields and mapping it to the standard Individual DMO would create unnecessary complexity and redundancy, and might not allow the use of the custom fields for identity resolution. References:
- 1: Data Model Objects in Data Cloud
질문 # 53 A consultant is planning the ingestion of a data stream that has profile information including a mobile phone number. To ensure that the phone number can be used for future SMS campaigns, they need to confirm the phone number field is in the proper E164 Phone Number format. However, the phone numbers in the file appear to be in varying formats. What is the most efficient way to guarantee that the various phone number formats are standardized?
A. Edit and update the data in the source system prior to sending to Data Cloud. B. Create a formula field to standardize the format. C. Assign the PhoneNumber field type when creating the data stream. D. Create a calculated insight after ingestion. 정답：C
설명： The most efficient way to guarantee that the various phone number formats are standardized is to assign the PhoneNumber field type when creating the data stream. The PhoneNumber field type is a special field type that automatically converts phone numbers into the E164 format, which is the international standard for phone numbers. The E164 format consists of a plus sign (+), the country code, and the national number. For example, +1-202-555-1234 is the E164 format for a US phone number. By using the PhoneNumber field type, the consultant can ensure that the phone numbers are consistent and can be used for future SMS campaigns. The other options are either more time-consuming, require manual intervention, or do not address the formatting issue. References: Data Stream Field Types, E164 Phone Number Format, Salesforce Data Cloud Exam Questions
질문 # 54 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 a segment and copy it for each brand. B. Create a nested segment. C. Create a reusable container block with common criteria. D. Create, publish, and deploy a data kit. 정답：C
설명： 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 bereused 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. References:
- Create a Container Block
- Create a Segment in Data Cloud
- Create and Publish a Data Kit
- Create a Nested Segment
질문 # 55 Northern Trail Qutfitters wants to be able to calculate each customer's lifetime value {LTV) but also create breakdowns of the revenue sourced by website, mobile app, and retail channels. What should a consultant use to address this use case in Data Cloud?
A. Flow Orchestration B. Streaming data transform C. Metrics on metrics D. Nested segments 정답：C
설명： Metrics on metrics is a feature that allows creating new metrics based on existing metrics and applying mathematical operations on them. This can be useful for calculating complex business metrics such as LTV, ROI, or conversion rates. In this case, the consultant can use metrics on metrics to calculate the LTV of each customer by summing up the revenue generated by them across different channels. The consultant can also create breakdowns of the revenue by channel by using the channel attribute as a dimension in the metric definition. References: Metrics on Metrics, Create Metrics on Metrics
질문 # 56 ......
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