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Salesforce CRM-Analytics-and-Einstein-Discovery-Consultant Exam Syllabus Topics:
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NEW QUESTION # 42
A consultant has created a story to maximize the daily sales quantity of consumer products in stores. After creating a story, the consulting is presented with this data alert by Einstein Discovery (see graphic).
What are two appropriate actions to take?
Choose 2 answers
- A. Remove the outliers as suggested by Einstein and deploy the model.
- B. Remove the outliers as suggested by Einstein, and verify using model metrics and story insights if the quality improved.
- C. Discuss with the client if values below 0 and above 2,489 are so uncommon that they should perhaps be left out of the story.
- D. Manually remove the sales bellow 0 (negative sales must be a data issue), but keep the large value (the more data, the better the model will be).
Answer: A,C
NEW QUESTION # 43
A CRM Analytics consultant is performing column profiling on dimension column in a recipe. Newly-added rows are not being considered in the Results tab of the profile even though a sync was run for that specific object.
What is causing the issue?
- A. Sync operation has not run properly with the new dimension column in the recipe.
- B. The sample does not include changes to the connected object data within the last 24 hours.
- C. Column profiling Is not applicable on a dimension column in a recipe.
Answer: B
NEW QUESTION # 44
A CRM Analytics consultant is working on Sales dashboards with multiple datasets and advanced queries in the Sales Analytics app.
Sales managers in the organization have been given Editor/Manager access to the app, whereas sales reps have been given Viewer access.
Some dashboards that are in progress are not ready to be rolled out to sales reps and should only be viewable by sales managers.
How should the consultant accomplish this?
- A. Duplicate the dashboards and their respective datasets, and move the assets to a separate app for the sales rep.
- B. Remove the dashboard from the 'Run App' navigation list so the sales reps cannot navigate to these dashboards.
- C. Leverage the CRM Analytics asset visibility feature to hide the assets from the users.
Answer: C
Explanation:
In CRM Analytics, you can control the visibility of dashboards and other assets using theasset visibilityfeature. This allows the consultant to restrict access to specific assets (like dashboards) for certain groups of users, such as sales reps, without needing to duplicate datasets or move dashboards to another app.
This is the most efficient way to manage access for dashboards in progress while allowing only sales managers to view the in-progress dashboards.
NEW QUESTION # 45
A customer has a dataset consisting of over 300 unique product names. They request a prediction model with the product names included.
Which action should the Einstein Consultant take?
- A. Run the model using the default variables in the Product object
- B. Use SKU numbers rather than product names to increase clarity.
- C. Split the analysis into multiple models will each having fewer products
- D. Adjust the model to eliminate extreme values in the outcome variable.
Answer: B
NEW QUESTION # 46
A Tableau CRM consultant decides to use a recipe to create a new dataset.
Which two source types can be used for the recipe?
Choose 2 answers
- A. Existing datasets
- B. Records from a Salesforce object
- C. Dataset lens
- D. Connected data(Synced)
Answer: A,D
NEW QUESTION # 47
Acompany 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, 1 grouping by a date field, and either 0-1 groupings groupings by a dimensionif trellis is disabled, or 0-2groupings if trellis is enabled
- B. 1 measure, 1-2 groupings if trellis is disabled, or 1-4 groupings if trellis is enabled
- C. 1 measure, 0 groupings if trellis Is disabled, or 0-2 groupings If trellis is enabled
Answer: A
Explanation:
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.
NEW QUESTION # 48
Einstein Discovery is a tool that:
- A. Understands your business better than you do
- B. Is like having a personal data scientist on staff
- C. Replaces your team of BI experts and data analysts
- D. Helps you hire the best data scientist for your business
Answer: B
NEW QUESTION # 49
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 Sales Rep is not provided access permission on custom field Demographic__c on the User object.
- B. The Analytics Security User 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'.
Answer: A
Explanation:
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.
NEW QUESTION # 50
Max Analytics API calls per user per hour
- A. 5,000
- B. 10,000
- C. 50,000
- D. 100,000
Answer: B
NEW QUESTION # 51
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. Clone
- B. Augment
- C. Data Sync (Replication)
- D. Dataflow
Answer: B
NEW QUESTION # 52
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. Self assign as a dashboard publisher and make the changes to the dashboard in draft mode while maintaining a previous version live.
- B. Wait for a period of least usability or the dashboard to edit it.
- C. Clone the dashboard to a new one, apply the changes, share the new dashboard with the users, and delete the old one.
Answer: A
NEW QUESTION # 53
The CRM Analytics project team at Universal Containers is creating an app with dashboards, datasets, and lenses. The app has been shared with multiple users with Viewer, Editor, and/or Manager access.
One end user is unable to view the dashboard watchlist that was previously set up. They are receiving a
"Resource not found" error while trying to access the dashboard. The team confirms that the end user has Viewer access to the app but the project team is able to view the dashboard.
What is the reason for this error?
- A. The dashboard is deleted by a user with Manager access to the App.
- B. The dashboard has been hidden by a user with Manager access to the App.
- C. The dashboard or App permission needs to be updated to Editor.
Answer: B
NEW QUESTION # 54
Universal Containers builds a new sales dashboard and wants to make sure account managers can access the dashboard while traveling.
What should the consultant consider doing in this process?
- A. Make sure the dashboard automatically is optimized for mobile viewing.
- B. A Set the optimal Dashboard width for the Phone layout to get a more accurate preview.
- C. Enable mobile optimization in the analytics settings under Setup.
Answer: B
NEW QUESTION # 55
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, R2 (R-squared)
- B. Area Under Curve, Confusion Matrix
- C. Root Mean Square Error, Minimum Square Error
Answer: C
Explanation:
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.
NEW QUESTION # 56
The model quality metrics of an Einstein Discovery story indicate that the GINI coefficient in the four folds are 0.82, 0.83, 0.84, and 0.75, respectively.
Which two actions should a consultant take? Choose 2 answers
- A. Confirm that the overall GINI coefficient is good prior to deploying the story.
- B. Deploy the story, because the variation in the metrics is within the normal range.
- C. Research and check the dataset for outliers in the target field and the main predictors that are shown on top of the story.
- D. Do not deploy the story immediately, and research why one fold is performing worse than the others.
Answer: A,D
NEW QUESTION # 57
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