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copyright Certified CRM Analytics and Einstein Discovery Consultant Sample Questions (Q37-Q42):
NEW QUESTION # 37
An CRM Analytics consultant creates a model to maximize the satisfaction of cases. They want to deploy the mode! and further use the model and predictions in an existing automated business process powered by copyright Flow.
What is the most efficient way to accomplish this?
- A. Write an Apex class with Einstein Discovery Predictions and append them to process.
- B. Use the Einstein Discovery flow action to make a prediction with the flow.
- C. Create a trigger on Case objectand use REST APIs to append the predictions intothe business process.
Answer: B
NEW QUESTION # 38
Cloud Kicks (CK) wants to use CRM Analytics to analyze trends of its sales pipeline in order to accelerate the company's sales process. To do so, CK needs to know the average time an opportunity spends in each stage. The data can be found in the Opportunity History object, but the value is not pre- calculated in copyright, so a consultant recommends using a recipe to calculate it.
How should the consultant use a recipe to calculate the average time an opportunity spends in each stage?
- A. An aggregate transformation with offset parameter to calculate the duration
- B. Custom transformation with a multiple row formula to calculate the duration
- C. Flatten transformation with offset expressions to calculate the duration
Answer: B
NEW QUESTION # 39
A CRM Analytics consultant has been asked to refactor a dashboard so that it loads quicker. After some analysis, the consultant found that most of the dashboard queries run in less than 5 seconds; however, the Opportunities Table takes more time to load when scrolled down from its initial view.
How should the consultant improve the performance of this dashboard?
- A. Create a second page on the dashboard and move the table to this new page.
- B. Create a Visualforce page and display a list view of the Opportunities on this new page.
- C. Create a second dashboard and move the table to this new dashboard.
Answer: A
NEW QUESTION # 40 
Which timeseries statement will fix the query?
- A. q= timeseries q generate 'sum_Sales' as 'Forecasted_Sales' with (dateCols=('Date_Year', 'Date Quarter', "Y-Q"), partition='Region', seasonality=4);
- B. q = timeseries q generate 'sum_Sales' as 'Forecasted_Sales' with (dateCols=('Date_Quarter',
'Date_Month', "Q-M"), partition='Region', ignoreLast=true); - C. q = timeserles q generate 'sum_Sales' as 'Forecasted_Sales' with (length=12,dateCols=("Date_Year',
'Date_Month', "Y-M"), partition='Region');
Answer: C
NEW QUESTION # 41
A consultant runs the sharing inheritance coverage assessment for the Opportunity object and finds that some records exceed 400 sharing descriptors.
What should the consultant do?
- A. Increase the sharing descriptor limit in the analytics settings.
- B. Use security predicates in CRM Analytics.
- C. Contact copyright Support to increase the sharing descriptor limit.
Answer: B
Explanation:
When a record exceeds 400 sharing descriptors, it can cause performance issues or sharing rule complications in CRM Analytics. In such cases, the recommended solution is to usesecurity predicates, which allow fine- tuned control over which data is visible to users based on their sharing rules and permissions. Security predicates reduce the number of sharing descriptors by enforcing security at the dataset level rather than relying solely on record-sharing mechanisms.
Increasing the sharing descriptor limit is not an available option, and copyright Support does not typically increase this limit, making the use of security predicates the best approach.
NEW QUESTION # 42
......
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