無料でゲット！2025年最新のに更新されたSalesforce CRM-Analytics-and-Einstein-Discovery-Consultant試験問題と解答
CRM-Analytics-and-Einstein-Discovery-Consultant問題集PDFとテストエンジン試験問題
質問 # 17
Which statement best describes how to ensure CRM Analytics dashboards are easily used across both desktop and mobile devices?
- A. Create multiple layouts and reorder all the widgets so that they fit nicely within the new default width
- B. Create multiple layouts, ensure the layout selectors match the device, and resize/hide widgets to ensure the content is appropriate for the device screen size.
- C. Create multiple layouts and allow CRM Analytics to automatically select and organize dashboard contents to be optimal for the device type.
正解：B
解説：
To ensure that CRM Analytics dashboards are optimally usable on both desktop and mobile devices, creating multiple layouts tailored to each device type is crucial. Here's why Option C is the best approach:
Device-Specific Layouts: By creating specific layouts for each device type, you ensure that the dashboard contents are presented in a manner best suited to the screen size and interaction model of the device.
Layout Selectors: These are used to automatically display the appropriate layout based on the device accessing the dashboard, enhancing user experience without manual intervention.
Widget Customization: Resizing or hiding certain widgets for specific device layouts ensures that the dashboard remains clean, uncluttered, and easy to navigate, regardless of the device used.
質問 # 18
What can a consultant accomplish in the Predictions page of a model?
- A. If it is decided to follow some of the Einstein Recommendations for model improvement, see what the new model metrics would be.
- B. Create predicted outcome value by manually selecting values for some of the predictor fields.
- C. Estimate the impacted business value of using Einstein Discovery.
正解：B
解説：
In the Predictions page of a model within CRM Analytics (formerly Einstein Discovery), users have the capability to interact with the model to see how different input values affect predictions. Here's a detailed look at what can be accomplished:
Manual Input of Predictor Values: Users can manually input or change values for predictor fields to see how these changes alter the predicted outcomes. This is especially useful for testing hypothetical scenarios and understanding how sensitive the model is to various inputs.
Real-Time Interaction: This functionality provides a hands-on way to explore the model's behavior, offering immediate feedback on how input variations impact predictions, which can help in refining the model or in training users on its application.
Scenario Analysis: By adjusting predictor values, users can conduct scenario analyses, which are crucial for strategic planning and decision-making.
質問 # 19
CRM Analytics team plans to enable data sync.
Which limit specific to data syne should the team consider before enabling the feature because it may impact existing jobs?
- A. Maximum number of data sync jobs cannot exceed the limit
- B. Maximum number of Full Sync connection mode enabled
- C. Maximum number of objects that can be enabled for data sync
正解：C
解説：
In CRM Analytics, when planning to enable data sync, one of the critical considerations is the limit on the number of objects that can be enabled for data sync. This limit is essential because it determines how many different Salesforce objects (like Accounts, Opportunities, etc.) can be synchronized concurrently. Exceeding this limit could impact the performance of existing sync jobs or prevent new sync jobs from being configured.
Key points to consider include:
Performance Impact: Syncing too many objects simultaneously can lead to increased load times and potential delays in data availability, impacting users' ability to access up-to-date information.
Resource Allocation: CRM Analytics allocates resources based on the number of objects being synchronized, and there are practical limits to these resources to ensure stable and efficient operation.
For a more detailed understanding and to manage these limits effectively, Salesforce provides documentation and guidelines within the CRM Analytics resources, which can be further explored in the Trailhead modules specifically focusing on data management and synchronization practices.
質問 # 20
A consultant built a very useful Einstein Analytics app for Sales Operations, and they want to share its contents with the rest of Global Sales. However, they do not want to add everyone in Sales to their app. The consultant recommends extending the Sales Operations app and distributing it as an Einstein Analytics template app, but needs to locate specific information to get started.
Given the code statement above, which endpoint should it be posted to?
- A. /services/data/v . /wave/apps
- B. /services/data/v . /analytics/projects
- C. /services/data/v . /wave/templates
- D. /services/data/v . /analytics/wizard
正解：C
解説：
https://developer.salesforce.com/docs/atlas.en-us.bi_dev_guide_rest.meta/bi_dev_guide_rest/bi_resources_templates.htm
質問 # 21
Exhibit:
Which two statements can be determined based on the Why it Happened graphic above' Choose 2 answers
- A. The -2.2 Unexplained means there are effects that Einstein will never be able to explain regardless of the dataset.
- B. Germany sells more Call Center product and that helps them increase their win rate.
- C. Call Center is a generally poor performing product, and since there is more in Germany that has a negative effect.
- D. Germany performs lower than average but better when the product is Call Center.
正解：B、C
質問 # 22
Insights in a story show you how different variables and combinations of variables explain the variation of what kind of variable?
- A. Global variable
- B. Explanatory variable
- C. Outcome variable
- D. Local variable
- E. Tertiary variable
正解：C
解説：
When you configure the story, you tell Einstein Discovery to maximize/minimize the variable. The variable is 'outcome variable' in your story
質問 # 23
A data architect wants to use a dataflow transformation to implement row-level security that is based on role hierarchy in Salesforce. Which transformation should be used to level the dataset hierarch?
- A. flatten transformation
- B. sfdcDigest transformation
- C. delta transformation
- D. digest transformation
正解：A
質問 # 24
Maximum concurrent API Analytics calls per org
- A. 0
- B. 1
- C. 2
- D. 3
正解：A
質問 # 25
A customer displays a lot of data and wants a way to dynamically emphasize certain values on a bar chart in order to properly grab the user's attention.
What can an Einstein Consultant use to accomplish this task?
- A. Customize tooltip
- B. XMD
- C. Chart Markers
- D. Compare Table
正解：C
解説：
https://help.salesforce.com/articleView?id=bi_chart_add_tooltips_markers_to_data_points.htm&type=5
質問 # 26
A CRM Analytics consultant is asked to make changes to the current sales dashboard at Cloud Kicks. The dashboard is crucial to track the daily sales performance of the company and needs to be available for other users while the consultant works on the changes.
How should the consultant proceed to update the dashboard?
- A. Wait for a period of least usability or the dashboard to edit it.
- B. Self assign as a dashboard publisher and make the changes to the dashboard in draft mode while maintaining a previous version live.
- C. Clone the dashboard to a new one, apply the changes, share the new dashboard with the users, and delete the old one.
正解：B
質問 # 27
A CRM Analytics administrator is working on deploying a dashboard and a dataset from a developer sandbox to a full sandbox. They have deployed the dataset via change set and manually copy-pasted the dashboard JSON into the target org. However, they notice that the conditional formatting and the widget-specific number formats have been lost in the target environment.
What is causing this issue?
- A. Analytics Dashboard XMD was NOT included as part of the deployment package.
- B. The recipe that generated the dataset also needs to be included as part of the package.
- C. Analytics Dataset XMD was NOT included as part of the deployment package,
正解：C
解説：
When deploying a dataset and dashboard between environments in CRM Analytics, it's essential to include the Extended Metadata (XMD) file, which controls aspects such as conditional formatting and number formatting. In this case, the administrator manually copied the dashboard JSON but did not deploy the Analytics Dataset XMD, which leads to the loss of conditional formatting and widget-specific number formats in the target environment. Including the XMD ensures that all formatting and metadata are transferred correctly.
質問 # 28
The Universal Containers company built three Einstein Discovery stories that they want to use in Salesforce to predict and maximize their revenue per customer. The stories are for every region where they have business: EMEA, AMER, and APAC.
How can a consultant help them deploy the three Einstein models to Salesforce?
- A. Deploy the same model to all accounts and set the region field as an actionable variable.
- B. Segment the account data per region and deploy the same model to all segments.
- C. Deploy the same model to all accounts and use an Apex trigger to call the appropriate prediction.
- D. Segment the account data per region and deploy the appropriate model for each segment.
正解：D
解説：
https://help.salesforce.com/articleView?id=bi_edd_model_deploy_filter.htm&type=5
質問 # 29
What can you do with the dataflow?
- A. Extract data from an external CSV file into Analytics
- B. Explore a dataset
- C. Build a dashboard
- D. Extract Salesforce object data into Analytics
正解：D
質問 # 30
A company wants to use Einstein Analytics to analyze the trend of their sales pipeline. The company wants to accelerate the sales process. To do so, they need to know the average time an opportunity spends in each stage. This value is not pre-calculated in Salesforce, so a consultant recommends using a dataflow to calculate it.
How can a dataflow be used to calculate the average time an opportunity spends in each stage?
- A. computeRelative Transformation with offset parameter to calculate the duration
- B. flatten Transformation with Offset Expressions to calculate the duration
- C. computeExpression Transformation with SAQL Expression to calculate the duration
- D. computeRelative Transformation with SAQL Expression to calculate the duration
正解：D
解説：
https://help.salesforce.com/articleView?id=bi_integrate_computeRelative_transformation_operation.htm
質問 # 31
A CRM Analytics consultant is asked to make sure the new sales performance dashboard is accessible in the mobile app. They have created multiple mobile layouts for the same dashboard.
How is CRM Analytics expected to perform?
- A. If more than one layout Is eligible, the one with the most widgets is used.
- B. If more than one layout is eligible, the one with the most global filters is used.
- C. If more than one layout is eligible, the one with the most device properties set is used.
正解：C
質問 # 32
Mosaic recently hired a new development coordinator, Zoe. First, Danielle grants Zoe the Einstein Analytics Platform license, but Zoe reports that she still can't access Einstein Analytics. What could be the problem?
- A. Danielle still needs to grant Zoe a permission set containing the Manage Analytics permission.
- B. Danielle didn't share the Mosaic app with Zoe in Einstein Analytics.
- C. Danielle still needs to grant Zoe a permission set containing the Use Analytics permission.
- D. An admin hasn't run a dataflow.
正解：C
質問 # 33
What is another name for the type of insight that examines how one variable explains variation of the outcome variable?
- A. Object-oriented analysis
- B. First-order analysis
- C. Second-order analysis
- D. Third-order analysis
- E. Spectrum analysis
正解：B
質問 # 34
A dashboard dataset is growing and the Einstein Analytics consultant notices an impact on performance. The consultant needs to make a few adjustments.
Which three actions can the consultant take to improve dashboard performance? Choose 3 answers
- A. Distribute steps among separate pages.
- B. Reorganize the dashboard widgets.
- C. Replace separate step filters with a global filter.
- D. Use SAQL code to join datasets at runtime.
- E. Move calculations to a dataflow.
正解：A、C、E
質問 # 35
Which three things can be done with the Einstein Analytics Dashboard Inspector? Choose 3 answers
- A. Get a list of recommendations on how to improve the performance of the dashboard.
- B. See the final query for each step along with query results.
- C. View all queries and the time it took to run each one.
- D. View the total time required to run all queries.
- E. Automatically remove bottlenecks to make queries run faster.
正解：A、B、C
質問 # 36
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