[2025年04月06日] ANC-201テストエンジンお試しセット、ANC-201問題集PDF
最新のSalesforce ANC-201のPDFと問題集で(2025)無料試験問題解答
Salesforce ANC-201(Tableau CRMでのレンズ、ダッシュボード、およびアプリの構築)認定試験は、Tableau CRMでのレンズ、ダッシュボード、およびアプリの構築に関する専門知識を示したいプロフェッショナル向けに設計されています。この認定試験は、Tableau CRMでの経験があり、Tableau CRMアプリケーションの構築スキルを検証したい個人を対象としています。この試験は、Tableau CRMおよびその機能に関する知識を向上させたいプロフェッショナルにも適しています。
質問 # 23
A company's Salesforce org has multi-currency enabled. This company's business intelligence team used Einstein Analytics to build a dataflow that creates a dataset, "OpportunityDataSet". This dataset is populated with data extracted from the standard object, Opportunity. One of the extracted fields is the standard field, Amount.
If a user explores the "OpportunityDataSet" in Einstein Analytics, in which currency will the Amount values be shown?
- A. In the currency that is set on the "currency" attribute in the dataset
- B. In the connected user's currency
- C. In the currency that is set on the "currency" attribute in the dataflow
- D. In the integration user's currency
正解:D
解説:
Reference:
https://salesforce-trailblazer.com/einstein-analytics-multi-currency/
質問 # 24
A dataset is ready for analysis in Einstein Discovery.
What is the first step a consultant should take after the data is loaded?
- A. Load the data into Einstein Analytics
- B. Identify data types and define the appropriate data as numeric.
- C. Produce a graph of the data to analyze.
- D. Analyze data columns and decide which, if any, to drop.
正解:B
質問 # 25
What is an Einstein Discovery story?
- A. A collection of graphs, statistical analysis, and text that helps you understand the relationships between multiple outcome variables and the factors that influence those variables
- B. A collection of graphs, statistical analysis, and text that helps you understand the relationships between a single outcome variable and the factors that influence that variable
- C. A collection of graphs, statistical analysis, and text that proves exactly what caused an outcome
- D. An account of imaginary or real people and events told for entertainment
正解:B
質問 # 26
What is a keyword in SAQL? And what case must it be in?
- A. A keyword is basically just a function in SAQL, like group, foreach, etc. And it has to be lowercase.
正解:A
質問 # 27
Which set of statements generates monthly amount on a cumulative basis annually?
- A.

- B.

- C.

- D.

正解:C
質問 # 28
A consultant built an Einstein Analytics app for the Sales Operations team. The Sales Operations team wants to share their app with other people at the company. The consultant recommends distributing the app as an Einstein Analytics template app.
What can the consultant do to give the Sales team more choices and options with future apps that are generated from the Sales Operations app'
- A. Update contents in the Sales Operations app and changes will be pushed down to its generated apps.
- B. Ensure the Sales team has the necessary permissions to customize their apps.
- C. Update contents in the Sales Operations app and create new template versions of the app.
- D. Create a configuration wizard for the app.
正解:D
解説:
https://trailhead.salesforce.com/en/content/learn/modules/wave_analytics_templates_intro/wave_analytics_templates_in_action
質問 # 29
What's the best way to describe the template-info.json file?
- A. It's automatically populated every time you create an app from the template.
- B. It's a read-only file with all the user documentation for a template.
- C. It makes sure that the app includes all the right Salesforce data.
- D. It's the boss of the template with all the information needed to create the app.
正解:D
解説:
Reference:
https://trailhead.salesforce.com/en/content/learn/modules/wave_analytics_templates_intro/wave_analytics_templates_structure
質問 # 30
A consultant creates a CRM Analytics dashboard in a sandbox and it needs to be migrated into production.
What should the consultant use to complete the migration?
- A. Analytics dashboard connector
- B. Analytics External Data API
- C. Change sets
正解:C
質問 # 31
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. Update
- B. Append
- 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.
質問 # 32
A client has two datasets that are used across seven different dashboards. Three of these dashboards are used by marketing and four are used by sales. The client requires that only marketing can access the marketing dashboards and only sales can access the sales dashboards.
Which solution should a consultant recommend?
- A. Create three custom apps: one for marketing dashboards with marketing as "viewer", one for sales dashboards with sales as "viewer", and one for datasets where marketing and sales are "viewer".
- B. Use two custom apps: one for marketing dashboards with marketing as "viewer" and one for sales dashboards with sales as "viewer". Add the datasets as references to both custom apps.
- C. Duplicate the datasets and create two custom apps: one for marketing dashboards and datasets with marketing as "editor" and one for sales dashboards and datasets with sales as "editor".
正解:A
質問 # 33
Is there a need for a separate Permission Set Licence for an Analytics app?
- A. No
- B. Yes
正解:B
質問 # 34
The Universal Containers Einstein Analytics team built a dashboard with two widgets:
1. List widget associated to the step "Type_2" and grouped by the dimension "Type" (multi-selection)
2. Pie chart widget associated to the step "Step_pie_3" and grouped by the dimension "Type" The team wants to use bindings so any selection in the List widget will filter the Pie chart.
Additional notes:
* The steps use different datasets.
* Users should be able to choose more than one Type (multi-selection).
What is the right syntax for the binding?
A)
B)
C)
D)
- A. Option C
- B. Option B
- C. Option D
- D. Option A
正解:A
質問 # 35
The Universal Containers company uses Einstein Analytics to build dashboards for different departments: Sales, Service, and Marketing. Users for the same department have the same role and need to have access to the same dashboards. Dashboards for different departments use some common datasets with the same row-level security.
How can an Einstein Consultant address this need?
- A. Create one application for each department and use roles to share applications.
- B. Create one application for each department, put common datasets in the shared app, and use profiles to share applications.
- C. Create one application for each department, put common datasets in the shared app, and use roles to share applications.
- D. Create one application for each department, put common datasets in the shared app, and use permission sets to share applications.
正解:C
質問 # 36
An Einstein consultant created a dashboard that went through review. Some few charts were added and removed in the process. The dashboard is now approved for production.
Which best practice should be done before releasing the dashboard?
- A. Apply conditional formatting on the new charts.
- B. Remove the redundant steps to ensure dashboard performance.
- C. Modify the XMD so all labels and values are user-friendly.
- D. Rename all the steps to correspond with the defined naming convention.
正解:B
解説:
https://help.salesforce.com/articleView?id=bi_dashboards_inspector.htm&type=5
質問 # 37
A consultant built an Einstein Analytics dashboard for a company. The company then requested an enhancement to the dashboard and provided additional data that needs to be displayed. As a result, the consultant decides to "augment" the dataflow.
Which phrase describes this transformation?
- A. Add data as a lookup relationship (left side is the lowest grain)
- B. Add data based on the right-side grain
- C. Join data similar to an SQL statement
- D. Join data based on a many-to-many relationship
正解:A
解説:
https://trailhead.salesforce.com/en/content/learn/modules/wave_enable_data_integration_basics/wave_extract_salesforce_data
https://help.salesforce.com/articleView?id=bi_integrate_augment_transformation.htm&type=5
質問 # 38
An Einstein Analytics Consultant is working with a subscriptions based company to build a dashboard to understand customer renewals. Each subscription is captured as a Closed Won Opportunity within Salesforce Unfortunately the Opportunity record does not specify whether it is a renewal or a net new subscription.
Which data transformation should be used to determine if a subscription is new or a renewal?
- A. ComputeExpression
- B. Augment
- C. ComputeRelative
- D. flatten
正解:D
質問 # 39
In Einstein Analytics, which node is used in a dataflow to extract data from a registered dataset?
- A. edgemart
- B. sfdcDigest
- C. export
- D. digest
正解:A
質問 # 40
A consultant built an Einstein Analytics dashboard for a company. The company then requested an enhancement to the dashboard and provided additional data that needs to be displayed. As a result, the consultant decides to "augment" the dataflow.
Which phrase describes this transformation?
- A. Add data as a lookup relationship (left side is the lowest grain)
- B. Add data based on the right-side grain
- C. Join data similar to an SQL statement
- D. Join data based on a many-to-many relationship
正解:A
解説:
Reference:
https://trailhead.salesforce.com/en/content/learn/modules/wave_enable_data_integration_basics/wave_extract_salesforce_data
https://help.salesforce.com/articleView?id=bi_integrate_augment_transformation.htm&type=5
質問 # 41
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