Analytics-Con-201日本語的中対策、Analytics-Con-201クラムメディア

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Salesforce Analytics-Con-201 Exam Syllabus Topics:

Section	Weight	Objectives
Data Layer	23%	- Data Management & Optimization 1. Resolve data sync and refresh issues 2. Implement data modeling and relationships 3. Optimize dataset performance - Data Sources & Integration 1. Use Dataflows and Recipes for transformation 2. Extract, load, and prepare data using Data Manager 3. Define datasets and map Salesforce objects
Security & Access	12%	- Sharing & Permissions 1. Manage user and group access 2. Configure app, dataset, and field-level security 3. Implement row-level security and inheritance
Dashboard Design & Development	25%	- Build & Configure Dashboards 1. Implement bindings, filters, and interactions 2. Use SAQL for advanced queries 3. Create lenses, steps, and visualizations - Design Principles 1. Apply best practices for usability and performance 2. Design for mobile and Lightning compatibility
Einstein Discovery	22%	- Model Building & Configuration 1. Select prediction type: numeric, binary, multi-class 2. Prepare and assess data for modeling 3. Train, evaluate, and refine models - Deployment & Usage 1. Monitor and maintain model performance 2. Embed predictions in dashboards and Lightning pages 3. Interpret results and recommendations
Analytics Administration & Deployment	18%	- Implementation & Maintenance 1. Manage versioning and deployment 2. Monitor and optimize query performance 3. Use Dashboard Inspector and Publisher

>> Analytics-Con-201日本語的中対策 <<

Analytics-Con-201クラムメディア & Analytics-Con-201模擬試験

業界の他の製品とは対照的に、Analytics-Con-201テストガイドの合格率は非常に高く、多くのユーザーが確認しています。 Analytics-Con-201試験トレーニングを使用している限り、試験に合格することができます。試験に合格しなかった場合は、全額返金されます。 Analytics-Con-201学習ガイドは、あなたと一緒に進歩し、彼ら自身の将来のために協力することを望んでいます。 Salesforce Certified CRM Analytics and Einstein Discovery Consultant試験トレーニングガイドの合格率も高いため、努力が必要です。 Analytics-Con-201テストガイドを選択した場合、一緒にこの高い合格率に貢献できると思います。

Salesforce Certified CRM Analytics and Einstein Discovery Consultant 認定 Analytics-Con-201 試験問題 (Q30-Q35):

質問 # 30
CRM Analytics consultant receives a new project from a client that wants to implement CRM Analytics. They do not currently have CRM Analytics but want guidance on how to ensure their users have the correct access.
They have 1,000 users with a small team of three people who will build both datasets and dashboards. An additional 15 people should be able to only create dashboards. The remaining users should only be able to view dashboards.
Which recommendation should the consultant give the client?
Which recommendation should the consultant give the client?

A. Create and assign Salesforce permission sets according to the three types of roles defined.
B. Create and assign three new Salesforce profiles according to the three types of roles defined.
C. Assign the app permissions "viewer", "editor", and "manager" to the three types of roles defined.

正解：A

解説：
For a client implementing CRM Analytics with a variety of user roles, creating and assigning Salesforce permission sets is the most flexible and scalable solution. Here's why:
* Flexibility and Customization: Permission sets allow for specific access rights to be compiled and assigned based on user roles without altering their existing profiles.
* Scalability: As the organization grows or roles change, permission sets can be easily adjusted or reassigned to accommodate new requirements or users.
* Simplified Management: Managing access via permission sets simplifies the administration of user rights, making it easier to ensure that each group has the appropriate level of access.

質問 # 31
In a dataset, there are multiple boolean fields. When displayed on any dashboard, the boolean fields should all be displayed in the same way: a value of true should result in the display of the word "Yes" in green; a value of false should result in the display of the word "No" in red.
How should the consultant accomplish this?

A. In the explorer's field panel, select the boolean fields and use the "edit values" option on the fields to change values and colors.
B. Create an XMD node in the recipe to change the label and color of the values in the fields.
C. Select the boolean fields in the explorer's field panel, select the boolean fields, then create a derived dimension.

正解：A

質問 # 32
A consultant is preparing a dataset to predict customer lifetime value and is collecting data from a questionnaire that asks for demographic information. A very small number of respondents fill in the Income box, but the consultant thinks that it is an informative column even though it only represents 1% of respondents.
What should the consultant do?

A. Drop the field as it will be difficult to get future respondents.
B. Apply the predict missing values transformation in recipe nodes.
C. Fill in the missing data with an average of all incomes.

正解：B

解説：
Reference:CRM Analytics Recipes and Predict Missing Values

質問 # 33
Universal Containers plans to upload target data from an external tool to CRM Analytics so it can calculate the sales team target attainments.
The target data changes every month, so the datasets need to be updated on a monthly basis. The target data is a CSV file that contains the Salesforce ID of the sales rep, the target amount, and the month of the target. For each sales rep, the file contains a target for every month of the current year as well as all previous years.
Based on this information, which operation should a consultant use with the Analytics External Data API to upload the file?

A. Append
B. Update
C. Overwrite

正解：C

解説：
For uploading target data that changes on a monthly basis and includes historical data (previous years' targets), the appropriate operation is "Overwrite." This ensures that each time the CSV file is uploaded, the existing data in the dataset is replaced with the new data. This is critical because the target data includes both current and historical data, and using "Overwrite" will update the entire dataset while maintaining historical accuracy.
"Append" would add new data without replacing the old records, leading to duplication, and "Update" is not suitable for completely replacing data in this context.
Reference: The usage of the "Overwrite" operation for updating datasets with changing data is covered in theAnalytics External Data APIdocumentation, as well as in theWave Analytics Explorermodule.

質問 # 34
A CRM Analytics consultant is updating an existing recipe.
They are looking to add a few additional fields onto the Account dataset. One of the fields to be added is a multi-select picklist field that needs to be shown as text on the dashboard.
What should the consultant do to accomplish this?

A. Use the string multivalue function to convert this field to a text prior to registering the dataset.
B. Use the array_join multivalue runcuen co convert this field to a text prior to registering the dataset.
C. Use the array multivalue function to convert this field to a text prior to registering the dataset.

正解：B

質問 # 35
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Analytics-Con-201クラムメディア: https://www.certjuken.com/Analytics-Con-201-exam.html

P.S.CertJukenがGoogle Driveで共有している無料の2026 Salesforce Analytics-Con-201ダンプ：https://drive.google.com/open?id=112sapv3gM5unqmoLReuCkXvC_ksk4T3b