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적중율좋은Data-Con-101덤프내용공부자료
Fast2test에서 제공되는Salesforce Data-Con-101인증시험덤프의 문제와 답은 실제시험의 문제와 답과 아주 유사합니다. 아니 거이 같습니다. 우리Fast2test의 덤프를 사용한다면 우리는 일년무료 업뎃서비스를 제공하고 또 100%통과 율을 장담합니다. 만약 여러분이 시험에서 떨어졌다면 우리는 덤프비용전액을 환불해드립니다.
Salesforce Data-Con-101 시험요강:
| 주제 | 소개 |
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| 주제 2 |
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| 주제 3 |
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Data-Con-101인증시험대비 공부문제, Data-Con-101인증시험자료
Fast2test 는 완전히 여러분이 인증시험 준비와 안전한 시험패스를 위한 완벽한 덤프제공 사이트입니다.우리 Fast2test의 덤프들은 응시자에 따라 ,시험 ,시험방법에 따라 알 맞춤한 퍼펙트한 자료입니다.여러분은 Fast2test의 알맞춤 덤프들로 아주 간단하고 편하게 인증시험을 패스할 수 있습니다.많은 Data-Con-101인증관연 응시자들은 우리 Fast2test가 제공하는Data-Con-101 문제와 답으로 되어있는 덤프로 자격증을 취득하셨습니다.우리 Fast2test 또한 업계에서 아주 좋은 이미지를 가지고 있습니다.
최신 Salesforce Data Cloud Data-Con-101 무료샘플문제 (Q45-Q50):
질문 # 45
Cumulus Financial is currently using Data Cloud and ingesting transactional data from its backend system via an S3 Connector in upsert mode. During the initial setup six months ago, the company created a formula field in Data Cloud to create a custom classification. It now needs to update this formula to account for more classifications.
What should the consultant keep in mind with regard to formula field updates when using the S3 Connector?
- A. Data Cloud will only update the formula on a go-forward basis for new records.
- B. Data Cloud will initiate a full refresh of data from $3 and will update the formula on all records.
- C. Data Cloud will update the formula for all records at the next incremental upsert refresh.
- D. Data Cloud does not support formula field updates for data streams of type upsert.
정답:B
질문 # 46
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
- A. To use harmonized data to more accurately understand the customer and business impact
- B. To eliminate the need for separate business intelligence and IT data management tools
- C. To create and orchestrate cross-channel marketing messages
- D. To ingest and unify data from various sources to reconcile customer identity
정답:A,D
설명:
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.
Learn How Data Cloud Works
About Salesforce Data Cloud
Discover Use Cases for the Platform
Understand Common Data Analysis Use Cases
질문 # 47
A consultant is troubleshooting a segment error.
Which error message is solved by using calculated insights Instead of nested segments?
- A. Multiple population counts are in progress.
- B. Segment can't be published.
- C. Segment is too complex.
- D. Segment population count failed.
정답:C
설명:
Segment Errors in Data Cloud: Segments in Salesforce Data Cloud can encounter errors due to various reasons, including complexity and nested segments.
Calculated Insights vs. Nested Segments:
Complex Segments: If a segment is too complex due to extensive nesting or numerous conditions, it can lead to errors.
Simplification with Calculated Insights: Using calculated insights can simplify segment creation by pre- computing and storing complex logic or aggregations, which can then be referenced directly in the segment.
Solution:
Step 1: Identify the segment causing the "Segment is too complex" error.
Step 2: Break down complex logic into calculated insights.
Step 3: Use these calculated insights in segment definitions to reduce complexity.
References:
Salesforce Data Cloud Calculated Insights
Salesforce Data Cloud Segment Creation
질문 # 48
A customer notices that their consolidation rate has recently increased. They contact the consultant to ask why.
What are two likely explanations for the increase?
Choose 2 answers
- A. New data sources have been added to Data Cloud that largely overlap with the existing profiles.
- B. Identity resolution rules have been added to the ruleset to increase the number of matchedprofiles.
- C. Duplicates have been removed from source system data streams.
- D. Identity resolution rules have been removed to reduce the number of matched profiles.
정답:A,B
설명:
The consolidation rate is a metric that measures the amount by which source profiles are combined to produce unified profiles in Data Cloud, calculated as 1 - (number of unified profiles / number of source profiles). A higher consolidation rate means that more source profiles are matched and merged into fewer unified profiles, while a lower consolidation rate means that fewer source profiles are matched and more unified profiles are created. There are two likely explanations for why the consolidation rate has recently increased for a customer:
New data sources have been added to Data Cloud that largely overlap with the existing profiles. This means that the new data sources contain many profiles that are similar or identical to the profiles from the existing data sources. For example, if a customer adds a new CRM system that has the same customer records as their old CRM system, the new data source will overlap with the existing one. When Data Cloud ingests the new data source, it will use the identity resolution ruleset to match and merge the overlapping profiles into unified profiles, resulting in a higher consolidation rate.
Identity resolution rules have been added to the ruleset to increase the number of matched profiles. This means that the customer has modified their identity resolution ruleset to include more match rules or more match criteria that can identify more profiles as belonging to the same individual. For example, if a customer adds a match rule that matches profiles based on email address and phone number, instead of just email address, the ruleset will be able to match more profiles that have the same email address and phone number, resulting in a higher consolidation rate.
Identity Resolution Calculated Insight: Consolidation Rates for Unified Profiles, Configure Identity Resolution Rulesets
질문 # 49
Northern Trail Outfitters (NTO) asks its Data Cloud consultant for a list of contacts who fit within a certain segment for a mailing campaign.
How should the consultant provide this list to NTO?
- A. Create the segment and then click Download to obtain the segment membership details to provide to NTO.
- B. Create the segment, select Email as the activation target, and activate the segment di nearly to NTO.
- C. Create the segment and then activate the segment to NTO's Salesforce CRM.
- D. Create a new file storage activation target, create the segment, and then activate the segment to the new activation target.
정답:B
질문 # 50
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