Question # 1
| 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. 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". | | C. 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. |
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".
Question # 2
| Universal Containers wants to create two dashboards and has two user groups. The 'Regional Performance’ dashboard should be accessible to sales reps and managers/executives to keep track of
how sales reps are performing in each region. Sales reps must only be able to see data pertaining to their respective region. The ‘National Performance’ dashboard is using the same data as the other
dashboard but should only be accessible to managers/executives to compare data across all regions.
In addition to row-level security to view only regional data, how should a consultant ensure that sales reps are unable to view the ‘National Performance’ dashboard? |
| A. Create one dataset, two apps; store 'Regional Performance’ dashboard and dataset In one app; and provide access to both user groups to this app. Store ‘National Performance’ dashboard in another app and only provide access to
managers/executives. | | B. Create two datasets, one app; store both 'Regional Performance’ dashboard, ‘National Performance’ dashboard, and dataset in the app; and provide access to both user groups to this app. | | C. Create one dataset, one app; store both ‘Regional Performance’ dashboard, ‘National Performance’ dashboard, and dataset in the app; and provide access to both user groups to this app. Use row-level security to restrict sales repsfrom seeing data in 'National Performance’ dashboard. |
A. Create one dataset, two apps; store 'Regional Performance’ dashboard and dataset In one app; and provide access to both user groups to this app. Store ‘National Performance’ dashboard in another app and only provide access to
managers/executives.
Question # 3
| A consultant is preparing a dataset to predict customer lifetime value and is collecting data from a questionnaire that asks for demographic information. A very small number of respondents fill in the Income box, but the consultant thinks that it is an informative column even though it only represents 1% of respondents.
What should the consultant do? |
| A. Fill in the missing data with an average of all incomes. | | B. Apply the predict missing values transformation in recipe nodes. | | C. Drop the field as it will be difficult to get future respondents. |
B. Apply the predict missing values transformation in recipe nodes.
Explanation:
[Reference:CRM Analytics Recipes and Predict Missing Values]
Question # 4
| The CRM Analytics consultant at AW Computing is designing dashboard. They want to add a rate between two metrics and display it in a new chart. They are finding that the new chart seems to prejudice the design of other charts.
What should the consultant do to resolve this? |
| A. Create a component with the rate chart and insert it in one of the tooltips. | | B. Clone the dashboard and replace one of the charts with the new rate chart. | | C. Adjust the dashboard widgets to accommodate the rate chart. |
A. Create a component with the rate chart and insert it in one of the tooltips.
Question # 5
| Universal Containers (UC) has a "Sales Manager” dashboard. UC has a compare table that has multiple groupings and columns added showing the Total and Subtotals of the numeric values. A consultant is
asked to add additional groups to enhance details about UC's customers.
Which feature should the consultant use to make the navigation of the compare tables easier for the end user? |
| A. Create the table using SAQL query to accommodate this and make It user friendly. | | B. Select the Enable Expand or Collapse option from the table properties. | | C. Scroll to the very end to see the details. |
B. Select the Enable Expand or Collapse option from the table properties.
Question # 6
| 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 flow-updated fields | | B. Differences involving formula fields | | C. Differences involving trigger-updated fields |
B. Differences involving formula fields
Question # 7
| A manager at Cloud Kicks asks for data in a dashboard to be refreshed after the sync of an external connection to Google BigQuery.
How should the consultant accomplish this? |
| A. Schedule the recipe to run as event-based and check the Salesforce external connection syncs checkbox. | | B. Create 3 Salesforce flow to trigger the recipe to run once the connection sync has finished running. | | C. Check the scheduled date/time of the sync and schedule the recipe to run 15 minutes after the start time of the sync. |
A. Schedule the recipe to run as event-based and check the Salesforce external connection syncs checkbox.
Explanation:
For Cloud Kicks’ requirement to refresh dashboard data synchronously with the sync of an external connection to Google BigQuery, the most efficient method is:
Event-Based Triggers: Using CRM Analytics, you can set up recipes to run on an event-based trigger. This ensures that the recipe (which processes the data for the dashboard) only runs after the external data sync is completed.
Salesforce External Connection Syncs: By specifically targeting the synchronization event of the Salesforce external connection with Google BigQuery, the recipe ensures data consistency and timeliness without manual intervention.
Automation and Efficiency: This approach minimizes latency and maximizes data freshness, aligning data processing closely with data availability, thus enhancing dashboard accuracy.
Question # 8
| The administrator at Cloud Kicks has been asked to sync data from an external object created in Salesforce into CRM Analytics.
What should the administrator keep in mind? |
| A. Salesforce external objects are unsupported in RM Analytics recipes digest transformations. | | B. Using a custom connector to connect to the external objects will load it into CRM Analytics. | | C. Loading the external object data into CRM Analytics will help joinobjects in the recipes. |
A. Salesforce external objects are unsupported in RM Analytics recipes digest transformations.
Question # 9
| Which recommended technique should a CRM Analytics consultant
use to access CRM Analytics data from a remote app or website? |
| A. Use HTTPS to call the /wave/query API, supplying an encoded SAQL query asa parameter. | | B. Use an iFrame to embed the Salesforcepage in a remote site. | | C. Export the data to a CSV file and load it on the remote site. |
A. Use HTTPS to call the /wave/query API, supplying an encoded SAQL query asa parameter.
Question # 10
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 each item to run at 6:00 AM EST based on ‘Time-based Scheduling’. | | B. Use the Data Manager and schedule the recipes/dataflows 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. |
C. Use the App Install History under Analytics Settings and schedule the app to run at 6:00 AM EST.
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