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CRM-Analytics-and-Einstein-Discovery-Consultant높은통과율덤프공부자료시험덤프샘플문제다운로드
Salesforce인증 CRM-Analytics-and-Einstein-Discovery-Consultant시험을 패스하여 자격증을 취득하여 승진이나 이직을 꿈구고 있는 분이신가요? 이 글을 읽게 된다면Salesforce인증 CRM-Analytics-and-Einstein-Discovery-Consultant시험패스를 위해 공부자료를 마련하고 싶은 마음이 크다는것을 알고 있어 시장에서 가장 저렴하고 가장 최신버전의 Salesforce인증 CRM-Analytics-and-Einstein-Discovery-Consultant덤프자료를 강추해드립니다. 높은 시험패스율을 자랑하고 있는Salesforce인증 CRM-Analytics-and-Einstein-Discovery-Consultant덤프는 여러분이 승진으로 향해 달리는 길에 날개를 펼쳐드립니다.자격증을 하루 빨리 취득하여 승진꿈을 이루세요.
Salesforce CRM-Analytics-and-Einstein-Discovery-Consultant 시험요강:
| 주제 |
소개 |
| 주제 1 |
- Data Layer: In this comprehensive section, Salesforce consultants delve into the heart of data extraction and loading. It's all about showcasing a deep understanding of implementing refreshes for data syncs, performing data transformations, and implementing delivery management strategies in dataflows.
|
| 주제 2 |
- Einstein Discovery: This section unveils the magic of AI-driven insights and candidates' ability to analyze and choose one of the three types of predictions. It involves leveraging Einstein's advanced analytics capabilities to adjust data parameters, add or remove data and columns for the improvement of the model.
|
| 주제 3 |
- Security: Consultants stepping into this section will showcase their prowess in implementing necessary security settings. It covers critical aspects such as suitable dataset security settings, and the ability to implement app sharing.
|
| 주제 4 |
- Analytics Dashboard Design: Building upon the design foundation, this section challenges candidates to bring their dashboard designs to life. It covers the technical expertise required to scope, validate, and prioritize dashboard design requirements.
|
| 주제 5 |
- Admin
- Configuration: This topic takes Salesforce consultants on a journey through the enablement of CRM Analytics. It tests their ability to design a solution that is suitable for data sync
- dataflows
- recipe limits.
|
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CRM-Analytics-and-Einstein-Discovery-Consultant시험대비 최신버전 공부자료 & CRM-Analytics-and-Einstein-Discovery-Consultant시험패스 가능한 인증공부자료
한번에Salesforce인증CRM-Analytics-and-Einstein-Discovery-Consultant시험을 패스하고 싶으시다면 완전 페펙트한 준비가 필요합니다. 완벽한 관연 지식터득은 물론입니다. 우리KoreaDumps의 자료들은 여러분의 이런 시험준비에 많은 도움이 될 것입니다.
최신 Salesforce Consultant CRM-Analytics-and-Einstein-Discovery-Consultant 무료샘플문제 (Q36-Q41):
질문 # 36
A large company has a single dataset that contains the attainment and commission fields for all sales reps. Each sales rep should be able to view the attainment data for each rep in their division. Each rep should only be able to see their own commission data.
Which option should be used to enforce this requirement?
- A. Use sharing inheritance.
- B. Create separate datasets for attainment and commission and apply security predicates and/or sharing inheritance.
- C. Apply a security predicate on the existing single dataset.
- D. Add the sales organization to the attainment dataset access list.
정답:B
질문 # 37
A dataset for building the Einstein Discovery story contains 72 fields that are potentially relevant predictors.
Which approach is considered best practice to assess the top predictors in order to get to a meaningful and robust model?
- A. Go back to the data preparation and reduce the number of fields to less than 30 in order to produce a story.
- B. This dataset is too big and cannot be used in Einstein Discovery. Request a new dataset with fewer predictors.
- C. Build the story with all the predictors and indicate that Einstein Discovery should show the top predictors.
- D. Build a story with a first set of predictors and assess which predictors are important to the story. Then drop the less important ones and add the predictors that were omitted in the first run and assess their impact.
정답:D
설명:
https://medium.com/@kshannon565/ea-certification-study-guide-part-3-einstein-discovery-story-design-70ffbe4666c2
질문 # 38
What are the steps in the data exploration process?
- A. View, Explore, Refine, Save, Share
- B. Download, View, Refine, Save, Share
- C. View, Explore, Reduce, Save, Share
정답:A
질문 # 39
A data architect wants to use a recipe transformation to implement row level security based on role hierarchy in Salesforce.
Which transformation should the architect use to level the dataset hierarchy?
- A. Join
- B. Aggregate
- C. Flatten
정답:C
질문 # 40
Trending data limits: Maximum number of trended datasets per user and rows per snapshot:
- A. 5 per user, 100,000 per snapshot
- B. 5 per user, 200,000 per snapshot
- C. 10 per user, 100,000 per snapshot
- D. 10 per user, 200,000 per snapshot
정답:A
질문 # 41
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