2025年最新のに更新された検証済みの合格させるCRM-Analytics-and-Einstein-Discovery-Consultant学習ガイドベスト問題集を使おう [Q13-Q31]

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2025年最新のに更新された検証済みの合格させるCRM-Analytics-and-Einstein-Discovery-Consultant学習ガイドベスト問題集を使おう Courses

究極なガイドはCRM-Analytics-and-Einstein-Discovery-Consultant最新版限定公開


Salesforce CRM-Analytics-and-Einstein-Discovery-Consultant 認定試験の出題範囲:

トピック出題範囲
トピック 1
  • 分析ダッシュボード設計: このセクションでは、設計の基礎を基に、ダッシュボード設計を実現することが求められます。ダッシュボード設計要件の範囲設定、検証、優先順位付けに必要な技術的専門知識をカバーします。
トピック 2
  • データ レイヤー: この包括的なセクションでは、Salesforce コンサルタントがデータの抽出と読み込みの核心を掘り下げます。データ同期の更新の実装、データ変換の実行、データフローでの配信管理戦略の実装に関する深い理解を示すことが目的です。
トピック 3
  • 分析ダッシュボードの実装: ここでは、コンサルタントがダッシュボードの構成、ダッシュボード インスペクターを使用したクエリ パフォーマンスの最適化、ウィンドウ処理などの高度な機能の使用について創造的な検討に着手します。
トピック 4
  • 管理
  • 構成: このトピックでは、Salesforce コンサルタントが CRM 分析の有効化について説明します。データ同期
  • データフロー
  • レシピの制限に適したソリューションを設計する能力がテストされます。

 

質問 # 13
In an org, some of the Activity records do not have related Opportunity records. Additionally, there are Opportunity records that do not have related Activity records.
Which SAQL statement will fetch all Opportunities, even if they don't have associated Activities, and fetch related Activity data, if it exists?

  • A. q = cogroup Opportunity by 'Id', Activities by 'Opportunityld';
  • B. q = cogroup Opportunity by 'Id' left, Activities by 'Opportunityld';
  • C. q = cogroup Opportunity by 'Id', Activities by 'Opportunityld' left;
  • D. q = cogroup Opportunity by 'Id' right, Activities by 'Opportunityld';

正解:B

解説:
https://developer.salesforce.com/docs/atlas.en-us.bi_dev_guide_saql.meta/bi_dev_guide_saql/bi_saql_statement_cogroup.htm


質問 # 14
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. Remove the redundant steps to ensure dashboard performance.
  • B. Modify the XMD so all labels and values are user-friendly.
  • C. Rename all the steps to correspond with the defined naming convention.
  • D. Apply conditional formatting on the new charts.

正解:A

解説:
https://help.salesforce.com/articleView?id=bi_dashboards_inspector.htm&type=5


質問 # 15
A consultant is working with a credit card company that needs help with ongoing fraudulent transactions. The company provides a representative sample dataset for the consultant to analyze in Einstein Discovery. The story's initial assessment shows that a third-party payment app is the source of these fraudulent transactions. However, the company rejects this assessment outcome, stating they have not had a partnership with this payment app long enough for it to be a concern.
What is the recommended next step to improve the story outcome?

  • A. Ask the credit card company for a more comprehensive dataset to analyze.
  • B. Make adjustments to the story to better demonstrate that the third-party payment app is the culprit.
  • C. Use the credit card company's domain knowledge and exclude the third-party payment app from the story.
  • D. Explain to the company that the story has returned unbiased results and the initial assessment is accurate.

正解:D


質問 # 16
Cloud Kicks uses CRM Analytics for its sales reporting. A new manager needs access to CRM Analytics to see specific dashboards.
How should the system administrator give access to the Analytics
Studio app in the App Launcher?

  • A. Share the Analytics Studio app to the user's profile.
  • B. Assign the CRM Analytics User permission set to the manager's user.
  • C. Change the profile of the user to one that has access to the Analytics Studio.

正解:B


質問 # 17
In Einstein Analytics, which node is used in a dataflow to extract data from a registered dataset?

  • A. sfdcDigest
  • B. export
  • C. edgemart
  • D. digest

正解:C


質問 # 18
Benito has Viewer access to a new Einstein Analytics app. He wants to build and edit a dashboard using the Seed Bank dataset in this new app. What must an admin do for Benito to do this?

  • A. Assign Benito a permission set that contains the permission: Create and Manage Analytics Apps.
  • B. Assign Benito a permission set that contains the permission: Create and Edit Analytics Dashboards.
  • C. Grant Benito access to all datasets in the org.
  • D. Grant Benito access to the app that contains the Seed Bank dataset and assign him a permission set that contains the Create and Edit Analytics Dashboards permission.

正解:D


質問 # 19
Universal Containers (UC) recently activated data sync in the CRM Analytics data manager. After running the sync, UC notices that the aggregate sum of a field within the company's dataset is different than what they manually calculated by summing the same data in the Salesforce object.
What is causing the issue with the newly synced data?

  • A. Differences involving trigger-updated fields
  • B. Differences involving formula fields
  • C. Differences involving flow-updated fields

正解:B


質問 # 20
The below image shows a numeric outcome being deployed (Regression).

Which metric is used to calculate the performance of the model in production, specifically in the Model Manager?
The below image shows a numeric outcome being deployed (Regression).
Which metric is used to calculate the performance of the model in production, specifically in the Model Manager?

  • A. Area Under Curve, Confusion Matrix
  • B. Area Under Curve, R2 (R-squared)
  • C. Root Mean Square Error, Minimum Square Error

正解:C

解説:
In the context of a regression model being deployed, the performance metrics used to evaluate its effectiveness in production typically include:
Root Mean Square Error (RMSE): This metric provides a measure of the average magnitude of the errors between predicted values by the model and the actual values, giving a sense of how accurately the model predicts the outcome.
Minimum Square Error: While less commonly referenced as "Minimum Square Error", metrics like Mean Squared Error (MSE) are often used to quantify the average of the squares of the errors-essentially, the average squared difference between the estimated values and what is estimated.
These metrics are crucial for assessing the performance of regression models in CRM Analytics, as they directly reflect the accuracy and reliability of the model's predictions in real-world applications.


質問 # 21
An CRM Analytics consultant is working with Ursa Major Solar to build a dashboard to understand customer renewals. Each subscription is captured as a Closed Won Opportunity within Salesforce and a single Account should only have one active subscription. The consultant notices the Opportunity record does NOT specify whether it is a renewal or a net new subscription.
Which data transformation should the consultant use to determine if a subscription is new or a renewal?

  • A. Flatten
  • B. Custom Multiple row formula
  • C. Custom Formula

正解:C

解説:
To determine whether a subscription is new or a renewal from the Opportunity records in Salesforce, the consultant should utilize a Custom Formula in the data transformation process. Here's the rationale:
Custom Formula Usage: By employing a custom formula, the consultant can create a logical expression that checks the historical data associated with each account. If an account has previous closed-won opportunities, any new opportunities can be labeled as renewals; otherwise, they are considered new subscriptions.
Data Insight: This method provides a straightforward way to derive new insights (new vs. renewal) directly from existing data without altering the data structure itself, making it a non-invasive and efficient solution.
Implementation: The custom formula can be applied in a recipe or directly within a dataflow in CRM Analytics, offering flexibility in how and where the transformation is executed.


質問 # 22
A Tableau CRM consultant develops a dashboard called
SalesPerformance_l in a sardbox environment. To deploy the recipe the consultant creates a package in workbench What is the correct meta data reference in the xml file?

  • A. SalesPerformance_1 EADashboard
  • B. SalesPerformance_1 waveDashboard
  • C. SalesPerformance_1 EdgeOashboard
  • D. SalesPefformance_1

正解:B


質問 # 23
A CRM Analytics consultant is reviewing results from an Einstein Discovery story with a business user. They agree with the findings but notice that none of the fields used in the story have a correlation value greater than 4%. The client is now concerned that the model may not be good enough to deploy.
Which action should the consultant take?

  • A. Edit the model accuracy settings and rerun it to evaluate the correlation.
  • B. Use the appropriate algorithm and update the model.
  • C. A Identify additional data that may have a stronger relationship with the outcome variable.

正解:C


質問 # 24
Universal Containers has a well-defined role hierarchy in Salesforce where everyone is assigned to an appropriate node. The accounts within their instance are categorized by their demography.
An individual sales rep should be able to view all accounts that they own. In addition, sales reps should be able to see any accounts where the value of the account demography matches the demography defined on their user record. A user could have more than one demography defined on their user record.
To meet this requirement, the CRM Analytics consultant has set up a security predicate of the existing 'Account' dataset as follows:

This, however, does not seem to be working as expected.
What is causing the issue?

  • A. The Analytics Security User is not provided access permission on custom field Demographic_c on the User object.
  • B. The Sales Rep is not provided access permission on custom field Demographic__c on the User object.
  • C. The security predicate needs to be updated as 'Ownerld' == "sUser.id" || 'Demography' = "$User.Demographic__c'.

正解:B

解説:
The issue with the security predicate not functioning as expected likely stems from a permissions issue related to the custom field Demographic__c on the User object. Here's a detailed explanation:
Field-Level Security: If the sales reps do not have access to the Demographic__c field, the security predicate which references this field cannot execute properly as the system cannot evaluate the predicate without accessing the field.
Permission Settings: Ensuring that the sales reps have the necessary permissions to view and use the Demographic__c field is crucial for the security predicate to function correctly.
Data Visibility: The security model in CRM Analytics relies heavily on the underlying data permissions in Salesforce. If these permissions are not correctly configured, the expected data visibility through CRM Analytics will not be achieved.


質問 # 25
Several users are complaining they are unable to see a specific dashboard on a Salesforce Lightning page anymore. The CRM Analytics consultant logs in as one of the users and sees an error page once the dashboard is opened.
How should the consultant solve this issue?

  • A. Open the Lightning page, remove the dashboard component, reinsert it, and save the page.
  • B. Check the Analytics Studio app to see if user's access has been removed.
  • C. Clone the dashboard and replace the existing one on the Lightning page with the new one

正解:B


質問 # 26
A consultant wants to optimize data loads by extracting Salesforce objects using independent Einstein Analytics dataflows ahead of time. Which construct should be used to accomplish this?

  • A. Data Sync (Replication)
  • B. Clone
  • C. Augment
  • D. Dataflow

正解:C


質問 # 27
consultant is tasked with creating an opportunity dataset for a new analytics app. One requirement is to make sure users only see the opportunities they have access to in Salesforce. Opportunity records are private but shared using the role hierarchy. The consultant runs the sharing inheritance coverage assessment and finds that the VP of sales is not covered by the sharing inheritance. The consultant decides to proceed with using sharing inheritance for the dataset.
What else does the consultant need to do?

  • A. Create a manual sharing rule to extend access to the VP of sales from the opportunity record.
  • B. Set the organization-wide default for the Opportunity object to Public Read/Write.
  • C. Flatten the role hierarchy in the recipe and set a backup security predicate based on opportunity owner and role path.

正解:C


質問 # 28
What are the two main parts of a lens/exploration?

  • A. Grouping
  • B. Dataset
  • C. Measure
  • D. Query
  • E. Visualization

正解:A、E


質問 # 29
A company wants to create a timeline chart to visualize the evolution of its Closed Won opportunities.

What are the required parameters to build a lens that displays output similar to the image shown?

  • A. 1 measure, 0 groupings if trellis Is disabled, or 0-2 groupings If trellis is enabled
  • B. 1 measure, 1 grouping by a date field, and either 0-1 groupings groupings by a dimension if trellis is disabled, or 0-2 groupings if trellis is enabled
  • C. 1 measure, 1-2 groupings if trellis is disabled, or 1-4 groupings if trellis is enabled

正解:B

解説:
To create a timeline chart similar to the one shown, the following parameters are typically required:
1 Measure: This could be the count of Closed Won opportunities or any other relevant metric that needs to be tracked over time.
1 Grouping by a Date Field: This is essential to plot the timeline effectively. The date field would typically be the close date of the opportunities.
Additional Groupings: Depending on the complexity and the detail needed, additional groupings can be added. For example, grouping by region or product line can provide more insights into the timeline. If trellis is used, it allows for the creation of multiple smaller charts within the main chart, each representing a slice of data based on the additional groupings.
This setup helps visualize the evolution of Closed Won opportunities over time, making it easy to spot trends, seasonal patterns, or other relevant insights.


質問 # 30
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 based on a many-to-many relationship
  • D. Join data similar to an SQL statement

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 # 31
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問題集で返金保証付きのCRM-Analytics-and-Einstein-Discovery-Consultant承認済み問題集:https://www.passtest.jp/Salesforce/CRM-Analytics-and-Einstein-Discovery-Consultant-shiken.html

2025年最新のに更新された検証済みの合格させるCRM-Analytics-and-Einstein-Discovery-Consultant試験にはリアル問題解答:https://drive.google.com/open?id=1PuoX_HEC5giISKBnuhXgU-Oa_J305ZIE