Salesforce Analytics-Con-201対応問題集: Salesforce Certified CRM Analytics and Einstein Discovery Consultant - MogiExam確実に合格するのを助ける

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Salesforce Analytics-Con-201 Exam Syllabus Topics:

SectionWeightObjectives
Einstein Discovery22%- Deployment & Usage
  • 1. Embed predictions in dashboards and Lightning pages
  • 2. Interpret results and recommendations
  • 3. Monitor and maintain model performance
- Model Building & Configuration
  • 1. Select prediction type: numeric, binary, multi-class
  • 2. Train, evaluate, and refine models
  • 3. Prepare and assess data for modeling
Security & Access12%- Sharing & Permissions
  • 1. Configure app, dataset, and field-level security
  • 2. Manage user and group access
  • 3. Implement row-level security and inheritance
Data Layer23%- Data Sources & Integration
  • 1. Use Dataflows and Recipes for transformation
  • 2. Define datasets and map Salesforce objects
  • 3. Extract, load, and prepare data using Data Manager
- Data Management & Optimization
  • 1. Resolve data sync and refresh issues
  • 2. Optimize dataset performance
  • 3. Implement data modeling and relationships
Analytics Administration & Deployment18%- Implementation & Maintenance
  • 1. Monitor and optimize query performance
  • 2. Manage versioning and deployment
  • 3. Use Dashboard Inspector and Publisher
Dashboard Design & Development25%- Design Principles
  • 1. Apply best practices for usability and performance
  • 2. Design for mobile and Lightning compatibility
- Build & Configure Dashboards
  • 1. Implement bindings, filters, and interactions
  • 2. Create lenses, steps, and visualizations
  • 3. Use SAQL for advanced queries

>> Analytics-Con-201対応問題集 <<

Salesforce Analytics-Con-201 Exam | Analytics-Con-201対応問題集 - 優秀なウェブサイト Analytics-Con-201: Salesforce Certified CRM Analytics and Einstein Discovery Consultant 試験

MogiExam一連の調査と研究の結果、教科書の詳細な研究に合格することを希望する学生は、しばしば怠け者であり、学習が怠けていることがわかりました（Analytics-Con-201テスト教材）。 一部の学生は、教科書で理解するのが難しい内容を読むときに頭痛を感じることさえあります。 私たちの研究資料は、実際のテスト環境をシミュレートする模擬試験製品の研究に焦点を当てたシニア業界の専門家によって構成された優れた試験レビュー製品です（Analytics-Con-201準備急流）。 専門家は、異なる専攻間の学習方法と試験モデルの違いを十分に検討し、最終的に完全なレビューシステムを形成しました。 Salesforce Certified CRM Analytics and Einstein Discovery Consultant一連の演習、エラーの修正、および自己改善の後、Salesforce Analytics-Con-201試験に合格するのに役立ちます。

Salesforce Certified CRM Analytics and Einstein Discovery Consultant 認定 Analytics-Con-201 試験問題 (Q49-Q54):

質問 # 49
consultant is reviewing a model that is set to maximize the daily sales quantity of consumer products in stores, and they see this recommendation.

Which action should the consultant take?

正解：A

解説：
Upon reviewing the data model and noticing the high correlation alert between 'Store' and daily sales quantity, the appropriate action is to verify with the client their expectations regarding the influence of the Store field on daily sales. Here's the rationale:
* Understanding the Role of 'Store' in the Model: Before making any changes to the model, it's crucial to understand whether the 'Store' field is expected to be a strong predictor based on the business context. If the client expects that different stores inherently have different sales volumes due to factors like location, size, or customer base, this correlation may be both meaningful and desired.
* Potential Data Leakage: High correlation warnings can sometimes indicate data leakage, where a predictor (like 'Store') might inadvertently include information about the outcome variable (daily sales quantity). It's essential to verify whether this correlation makes sense logically or if it's skewing the model predictions.
* Client Consultation: Consulting with the client helps ensure that any modeling decisions align with their business knowledge and expectations. It's about validating the model against real-world expectations and ensuring it remains a useful tool for decision-making.
By taking these steps, the consultant not only adheres to best practices in data science by validating model inputs and their implications but also ensures that the model aligns with the client's business strategies and operational realities.


質問 # 50
Universal Containers (UC) is looking to create a dashboard for whitespace analysis. UC wants to view a particularcustomer and see what similarcustomers have bought.
Which recipe transformation is helpful for the consultant to use while creating the dataset?

正解：B

解説：
Reference:CRM Analytics Recipes and Transformation


質問 # 51
CRM Analytics users at Cloud Kicks are granted access to an app with specific dashboards. When trying to download a specific widget, they are unable to do so.

正解：B

解説：
In CRM Analytics, even if users are granted access to view an app and its dashboards, their ability to download data is controlled by permissions assigned via permission sets. Specifically, users need the
"Download Data" permission to download data from widgets or dashboards. If this permission is missing from their permission set, they will be unable to download the specific widget, even though they can view the data.
Reference: The role of permission sets in granting access to data features, such as downloading data, is detailed in Salesforce'sCRM Analyticspermissions documentation and is emphasized in the module "Building Lenses, Dashboards, and Apps in CRM Analytics."


質問 # 52
The CRM Analytics consultant at Universal Containers notices that some users have access to sensitive data and dashboards they should not have access to in the Manager's app.
How should the consultant fix the problem?

正解：A

解説：
Reference:Managing Data Access and Sharing in CRM Analytics


質問 # 53
A consultant is tasked with creating a dataset and a dashboard for a sales team. During the requirements gathering, it was highlighted that security of the data is important.
It was noted that the Opportunity object has organization-wide defaults set to Private with access via the role hierarchy. Sales wants to keep this security in place for the dashboard. Looking at theOpportunity data, the consultant sees that the VP of sales can have access to up to 20,000 records and is unsure if sharing inheritance can be used.
Which approach ensures data security for the new Opportunity dataset?

正解：C

解説：
For ensuring that the security settings on the Opportunity object are appropriately replicated in the CRM Analytics environment, running the Sharing Inheritance Coverage Assessment is an effective strategy. Here's why:
* Assessment of Inheritance Feasibility: This tool assesses whether sharing rules on the Opportunity object can be effectively inherited in the analytics environment, ensuring that the organization-wide defaults and role hierarchy are maintained.
* Identification of Limitations: The assessment will identify any potential issues or limitations with inheriting sharing settings due to the large number of records (up to 20,000 for the VP of Sales), providing clear insights on how to proceed.
* Guided Decision Making: Based on the outcome of the assessment, the consultant can make informed decisions about whether to directly inherit sharing or consider alternative strategies like flattening the role hierarchy or using security predicates.


質問 # 54
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