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| Section | Objectives |
|---|---|
| Data Integration and Connectivity | - Data synchronization and refresh strategies - Connecting external data sources |
| Data Management and Preparation | - Data transformation and dataflows - Dataset creation and configuration in CRM Analytics |
| Security and Access | - Row-level security and sharing rules - App and dataset permissions |
| Dashboard and App Development | - Interactive filters and user experience optimization - Lens creation and dashboard design |
| Einstein Discovery | - Insights interpretation and recommendations - Model building and predictions |
1. Universal Containers (UC) uses a Microsoft Azure SQL Data Warehouse to gather information about sales reps' objectives. UC wants to use CRM Analytics to gain insights from this data and automatically load it into a CRM Analytics dataset daily. The data also needs to be transformed and merged with data from the company's org.
Which CRM Analytics user interface features should be used to complete these requirements?
A) CRM Analytics Connector for Excel used in conjunction with dataflows/recipes
B) Microsoft Azure SQL Data Warehouse Connector used in Conjuction with dataflows/recipes
C) Analytics REST API used in conjunction with dataflows/recipes.
2. ACRM Analytics consultant is reviewing results from an Einstein Discovery story with a business user. They agree with the findings but notice that none of the fields used in the story have a correlation value greater than
4%. The client is now concerned that the model
may not be good enough to deploy.
Which action should the consultant take?
A) Use the appropriate algorithm and update the model.
B) A Identify additional data that may have a stronger relationship with the outcome variable.
C) Edit the model accuracy settings and rerun it to evaluate the correlation.
3. 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.
4. 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) Root Mean Square Error, Minimum Square Error
C) Area Under Curve, Confusion Matrix
5. Universal Containers (UC) creates a dataset, "Book11", containing a budget per region per month for the first
6 months of the year, as shown in the graphic below. Now, UC wants to create a lens showing the total budget for each region for each month. Every combination of region and month must be shown in the lens, even if there is no data.
How should a CRM Analytics consultant help UC build this lens?
A) Use a "Compare Table" and add a column leveraging the "Running Total" function.
B) Use a "fill" statement in SAQL query with a "partition" parameter.
C) Use a "Compare Table" and use the "Show Totals" option.
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: B | Question # 3 Answer: C | Question # 4 Answer: B | Question # 5 Answer: A |
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