높은통과율Data-Cloud-Consultant높은통과율덤프자료시험덤프

Wiki Article

그 외, ITDumpsKR Data-Cloud-Consultant 시험 문제집 일부가 지금은 무료입니다: https://drive.google.com/open?id=1Zk6W9PwEeeTvFnmon9uO-3xKDBa2oDji

ITDumpsKR 에서는 Salesforce Data-Cloud-Consultant 시험에 대비한 고품질 Salesforce Data-Cloud-Consultant덤프를 제공해 드립니다. Salesforce Data-Cloud-Consultant덤프는 IT 업계 종사자들에 있어서 아주 중요한 인증시험이자 인기 자격증을 취득할수 있는 필수과목입니다. Salesforce Data-Cloud-Consultant시험을 합격하여 자격증을 취득하시면 취업하는데 가산점이 될수 있고 급여 인상이나 이직에도 많을 도움을 드릴수 있습니다.

ITDumpsKR 는 전문적으로 Salesforce전문인사들에게 도움을 드리는 사이트입니다.많은 분들의 반응과 리뷰를 보면 우리ITDumpsKR의 Data-Cloud-Consultant제품이 제일 안전하고 최신이라고 합니다. ITDumpsKR의 학습가이드는 아주 믿음이 가는 문제집들만 있으니까요. ITDumpsKR 덤프의 문제와 답은 모두 제일 정확합니다. 왜냐면 우리의 전문가들은 매일 최신버전을 갱신하고 있기 때문입니다.

>> Data-Cloud-Consultant높은 통과율 덤프자료 <<

완벽한 Data-Cloud-Consultant높은 통과율 덤프자료 공부문제

ITDumpsKR의 도움을 받겠다고 하면 우리는 무조건 최선을 다하여 한번에 패스하도록 도와드릴 것입니다. 또한 일년무료 업뎃서비스를 제공합니다. 중요한 건 덤프가 갱신이 되면 또 갱신버전도 여러분 메일로 보내드립니다. 망설이지 마십시오. 우리를 선택하는 동시에 여러분은Data-Cloud-Consultant시험고민을 하시지 않으셔도 됩니다.빨리 우리덤프를 장바구니에 넣으시죠.

Salesforce Data-Cloud-Consultant 시험요강:

주제소개
주제 1
  • 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 2
  • 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.
주제 3
  • 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 4
  • 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.
주제 5
  • 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.

최신 Salesforce Data Cloud Data-Cloud-Consultant 무료샘플문제 (Q87-Q92):

질문 # 87
Northern Trail Outfitters wants to implement Data Cloud and has several use cases in mind.
Which two use cases are considered a good fit for Data Cloud?
Choose 2 answers

정답：C,D

설명：
Explanation
Data Cloud is a data platform that can help customers connect, prepare, harmonize, unify, query, analyze, and act on their data across various Salesforce and external sources. Some of the use cases that are considered a good fit for Data Cloud are:
* To ingest and unify data from various sources to reconcile customer identity. Data Cloud can help customers bring all their data, whether streaming or batch, into Salesforce and map it to a common data model. Data Cloud can also help customers resolve identities across different channels and sources and create unified profiles of their customers.
* To use harmonized data to more accurately understand the customer and business impact. Data Cloud can help customers transform and cleanse their data before using it, and enrich it with calculated insights and related attributes. Data Cloud can also help customers create segments and audiences based on their data and activate them in any channel. Data Cloud can also help customers use AI to predict customer behavior and outcomes.
The other two options are not use cases that are considered a good fit for Data Cloud. Data Cloud does not provide features to create and orchestrate cross-channel marketing messages, as this is typically handled by other Salesforce solutions such as Marketing Cloud. Data Cloud also does not eliminate the need for separate business intelligence and IT data management tools, as it is designed to work with them and complement their capabilities.
References:
* Learn How Data Cloud Works
* About Salesforce Data Cloud
* Discover Use Cases for the Platform
* Understand Common Data Analysis Use Cases


질문 # 88
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?

정답：B


질문 # 89
A customer has a calculated insight about lifetime value.
What does the consultant need to be aware of if the calculated insight.
needs to be modified?

정답：A

설명：
A calculated insight is a multidimensional metric that is defined and calculated from data using SQL expressions. A calculated insight can include dimensions and measures. Dimensions are the fields that are used to group or filter the data, such as customer ID, product category, or region. Measures are the fields that are used to perform calculations or aggregations, such as revenue, quantity, or average order value. A calculated insight can be modified by editing the SQL expression or changing the data space. However, the consultant needs to be aware of the following limitations and considerations when modifying a calculated insight12:
Existing dimensions cannot be removed. If a dimension is removed from the SQL expression, the calculated insight will fail to run and display an error message. This is because the dimension is used to create the primary key for the calculated insight object, and removing it will cause a conflict with the existing data. Therefore, the correct answer is B.
New dimensions can be added. If a dimension is added to the SQL expression, the calculated insight will run and create a new field for the dimension in the calculated insight object. However, the consultant should be careful not to add too many dimensions, as this can affect the performance and usability of the calculated insight.
Existing measures can be removed. If a measure is removed from the SQL expression, the calculated insight will run and delete the field for the measure from the calculated insight object. However, the consultant should be aware that removing a measure can affect the existing segments or activations that use the calculated insight.
New measures can be added. If a measure is added to the SQL expression, the calculated insight will run and create a new field for the measure in the calculated insight object. However, the consultant should be careful not to add too many measures, as this can affect the performance and usability of the calculated insight. Reference: Calculated Insights, Calculated Insights in a Data Space.


질문 # 90
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?

정답：D


질문 # 91
Cumulus Financial created a segment called High Investment Balance Customers. This is a foundational segment that includes several segmentation criteria the marketing team should consistently use.
Which feature should the consultant suggest the marketing team use to ensure this consistency when creating future, more refined segments?

정답：A

설명：
Explanation
Nested segments are segments that include or exclude one or more existing segments. They allow the marketing team to reuse filters and maintain consistency in their data by using an existing segment to build a new one. For example, the marketing team can create a nested segment that includes High Investment Balance Customers and excludes customers who have opted out of email marketing. This way, they can leverage the foundational segment and apply additional criteria without duplicating the rules. The other options are not the best features to ensure consistency because:
* B. A calculated insight is a data object that performs calculations on data lake objects or CRM data and returns a result. It is not a segment and cannot be used for activation or personalization.
* C. A data kit is a bundle of packageable metadata that can be exported and imported across Data Cloud orgs. It is not a feature for creating segments, but rather for sharing components.
* D. Cloning a segment creates a copy of the segment with the same rules and filters. It does not allow the marketing team to add or remove criteria from the original segment, and it may create confusion and redundancy. References: Create a Nested Segment - Salesforce, Save Time with Nested Segments (Generally Available) - Salesforce, Calculated Insights - Salesforce, Create and Publish a Data Kit Unit | Salesforce Trailhead, Create a Segment in Data Cloud - Salesforce


질문 # 92
......

Salesforce Data-Cloud-Consultant 덤프는 pdf버전,테스트엔진버전, 온라인버전 세가지 버전의 파일로 되어있습니다. pdf버전은 반드시 구매하셔야 하고 테스트엔진버전과 온라인버전은 pdf버전 구매시 추가구매만 가능합니다. pdf버전은 인쇄가능하기에 출퇴근길에서도 공부가능하고 테스트엔진버전은 pc에서 작동가능한 프로그램이고 온라인버전은 pc외에 휴태폰에서도 작동가능합니다.

Data-Cloud-Consultant Dumps: https://www.itdumpskr.com/Data-Cloud-Consultant-exam.html

참고: ITDumpsKR에서 Google Drive로 공유하는 무료, 최신 Data-Cloud-Consultant 시험 문제집이 있습니다: https://drive.google.com/open?id=1Zk6W9PwEeeTvFnmon9uO-3xKDBa2oDji

Report this wiki page