Salesforce CRM-Analytics-and-Einstein-Discovery-Consultant Practice Test Pdf Exam Material
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NEW QUESTION # 34
The Universal Containers company plans to upload target data from an external tool to Einstein Analytics so they 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 representative, the target amount, and the month of the target. For each sales representative, 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. Upsert
- D. Overwrite
Answer: D
NEW QUESTION # 35
An Einstein Analytics team reports that when they start their dataflow it runs successfully with no errors or warnings, but one of the fields does not return values when it is queried.
What can be the origin of this issue?
- A. The user who runs the dataflow does not have access to the field.
- B. The ""Security User Profile" does not have access to the field.
- C. The "Integration User Profile" does not have access to the field.
- D. The field does not contain any data in Salesforce.
Answer: D
NEW QUESTION # 36
How do you create a regression timeseries?
Answer:
Explanation:
In SAQL, use the timeseries function with the following arguments: Partition (the group_by piece), Seasonality (set to 12 to get yearly seasonality).
NEW QUESTION # 37
Max story creations per org per day:
- A. 20 per org per clay
- B. 40 per org per clay
- C. 40 per org
- D. 20 per org
Answer: A
NEW QUESTION # 38
A consultant is tasked with creating one query that shows how many opportunities and cases there are per account.
Cases and opportunities are found in two different datasets with a reference to the related Account via the AccoundId.
What options do the consultant have in Analytics Studio to create the query?
- A. A union statement
- B. A cogrouop or union statement
- C. A fill statement
- D. A cogroup statement
Answer: B
NEW QUESTION # 39
Universal Containers (UC) is using CRM Analytics to create two datasets.
* Dataset A: Contains a list of activities with an "activityID" dimension and a "userID" dimension
* Dataset B: Contains a list of users with a "userID" dimension
UC wants to delete all activities from Dataset A related to users in Dataset B.
How should the CRM Analytics consultant help UC achieve this?
- A. Use the combination of recipe transformations: "join" and "filter".
- B. Use the "update" transformation and utilize the "filter" node.
- C. Use the recipe node "delete" and set "userID" as the deletion ID.
Answer: A
NEW QUESTION # 40
A CRM Analytics consultant at Cloud Kicks is trying to upload data using an External Data API and the CSV file with the data was uploaded successfully. Upon analyzing the data using a lens, they find they are unable to perform any mathematical operations as all the data and fields are treated as dimensions.
What is causing the problem?
- A. JSON metadata file was not uploaded along with the CSV data file.
- B. The field value added in the CSV file was contained within double quotes.
- C. Proper transformations need to be performed at the external source prior to External Data API callout.
Answer: A
NEW QUESTION # 41
Which of the following is true about the Service Analytics Overview dashboard?
- A. It's available on desktop and mobile.
- B. It instantly provides key metrics on open cases, average time to close, first contact resolution, and customer satisfaction.
- C. It lets you drill down to more detailed dashboards, like agent performance, channel review, and telephony metrics.
- D. All of the above.
- E. It's a great place to start your analysis.
Answer: D
NEW QUESTION # 42
Universal Containers has a Sales Manager dashboard- They have a compare table that displays the count of Customers and the Sum of Annual Revenue per year and per Account type. A consultant is asked to add more groupings to enhance details about their customers.
What is the maximum number of grouping columns that the consultant must be aware of in order to continue using a compare table versus creating the query using SAQL?
- A. 0
- B. unlimited
- C. 1
- D. 2
Answer: C
NEW QUESTION # 43
Which Einstein Analytics asset or assets are created when using an App Template to create an app?
- A. An empty app
- B. The app, dataflows and datasets, and dashboards
- C. The app, dataflows and datasets, dashboards, and permission sets
- D. The app, dataflows and datasets, and users
Answer: B
NEW QUESTION # 44
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 device properties set is used.
- B. If more than one layout Is eligible, the one with the most widgets is used.
- C. If more than one layout is eligible, the one with the most global filters is used.
Answer: A
NEW QUESTION # 45
Universal Containers has a dashboard for sales managers. They need to visualize the percentage of their opportunities in the pipeline in a Gauge chart. They want to customize the chart to keep track if they are below or beyond the target.
Which widget parameters should a consultant use?
- A. Reference Line, Angle, Range Values
- B. Range Values, Angle, Conditional Formatting
- C. Reference Line, Markers, Conditional Formatting
Answer: C
Explanation:
In the scenario described, the sales managers at Universal Containers require a Gauge chart that not only shows the current percentage of opportunities in their pipeline but also indicates whether they are below or beyond their set targets. The appropriate widget parameters to achieve this visualization in Salesforce CRM Analytics (formerly known as Einstein Analytics) are:
Reference Line: This parameter is crucial for defining a specific target value on the gauge chart. It visually marks a point that represents the target goal, providing an immediate visual cue as to whether the current percentage is below or above this point.
Markers: Markers are used to represent and highlight specific values on the gauge chart. They can be utilized to emphasize the current percentage level of the pipeline, making it instantly visible how close or far the current value is from the reference line or target.
Conditional Formatting: This feature allows the chart to change color or style based on whether the current values meet, exceed, or fall below the target. It is a critical visual tool for quickly communicating performance against targets. Conditional formatting can be set to alter the appearance of the gauge's fill color based on whether the values are above, equal to, or below the reference line, thereby providing an intuitive visual representation of performance relative to targets.
The combination of these three parameters enables a highly effective visualization for sales managers to monitor their performance against key metrics and targets directly on their dashboards. This setup is aligned with Salesforce's best practices for creating meaningful and actionable insights within CRM dashboards, ensuring that users can easily interpret and react to the data presented.
For more details on configuring these parameters, you can refer to Salesforce documentation and specific Trailhead modules that cover dashboard creation and customization:
Wave Analytics Explorer
Building Lenses, Dashboards, and Apps in CRM Analytics
These resources provide in-depth training and examples to help users effectively use Salesforce CRM Analytics for a wide range of data visualization needs.
NEW QUESTION # 46
The edgemart transformation gives the dataflow access to an existing, registered dataset that can contain Salesforce data, external data, or a combination of both.
Where is an edgemart transformation specified?
- A. Recipes Editor
- B. Settings
- C. Dataflow Editor
- D. Step Editor
Answer: C
Explanation:
https://help.salesforce.com/articleView?id=bi_integrate_edgemart_transformation.htm&type=5
NEW QUESTION # 47
A consultant sets up a Sales Analytics templated app that is very useful for sales operations at Universal Containers (UC). UC wants to make sure all of the data assets associated with the app, including:
recipes, dataflows, connectors, Einstein Discovery models, and prediction definitions are refreshedeveryday at 6:00 AM EST.
How should the consultant proceed?
- A. Use the Data Manager and schedule the recipes/dataflows to run at 6:00 AM EST based on 'Time-based Scheduling'.
- B. Use the Data Manager and schedule each item to run at 6:00 AM EST based on 'Time-based Scheduling'.
- C. Use the App Install History under Analytics Settings and schedule the app to run at 6:00 AM EST.
Answer: C
NEW QUESTION # 48
CRM Analytics users at Cloud Kicks are granted access to an app with specific dashboards. When trying to download a specific widget, they are unable to do so.
What is causing the issue?
- A. The users have access to the dashboard but not the dataset.
- B. The permission set for the users Is missing the download data permission.
- C. The dashboard has been created for internal use and the users have a view only license.
Answer: B
Explanation:
As in the previous question, the issue is related to permissions. Users can be granted access to dashboards and apps, but if their permission set does not explicitly allow the "Download Data" action, they will not be able to download the widget data. This is a common issue encountered when users have restricted permissions, especially in environments where security and data access are tightly controlled.
NEW QUESTION # 49
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. Root Mean Square Error, Minimum Square Error
- B. Area Under Curve, Confusion Matrix
- C. Area Under Curve, R2 (R-squared)
Answer: A
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 # 50
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. Grant Benito access to all datasets in the org.
- B. Assign Benito a permission set that contains the permission: Create and Manage Analytics Apps.
- C. Assign Benito a permission set that contains the permission: Create and Edit Analytics Dashboards.
- 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.
Answer: D
NEW QUESTION # 51
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. delta transformation
- B. sfdcDigest transformation
- C. digest transformation
- D. flatten transformation
Answer: D
NEW QUESTION # 52
Number of queries per user per day
- A. 50,000
- B. 20,000
- C. 1,000
- D. 10,000
Answer: D
NEW QUESTION # 53
An Einstein Consultant needs to add some data values to an existing dataflow: a text field, a number (via a case statement), and a date (via SAQL).
In order to achieve this, which compute option should be used?
- A. computeValue
- B. computeField
- C. computeExpression
- D. computeData
Answer: C
NEW QUESTION # 54
A consultant has been brought in to help increase the adaption of Tableau CRM. It has been identified that account managers are struggling to get an overview of their accounts before meeting with them. Ideally they would like to have key details highlighted about active cases and opportunities, opportunity value and product whitespace.
What can the consultant do to increase adoption?
- A. Create datasets for account managers to explore
- B. Create 4 analytics lenses and embed them onto the account record page
- C. Create a dashboard and embed onto the account record page
- D. Create a dashboard and embed it onto the account record page with a filter based on the viewed account
Answer: D
NEW QUESTION # 55
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CRM-Analytics-and-Einstein-Discovery-Consultant [Oct-2025] Newly Released] Exam Questions For You To Pass: https://testking.itexamsimulator.com/CRM-Analytics-and-Einstein-Discovery-Consultant-brain-dumps.html
