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Salesforce Analytics-Con-201 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Analytics Dashboard Design | 20% | - Design and build CRM Analytics dashboards
|
| Topic 2: Analytics Dashboard Configuration | 25% | - Configure dashboards
|
| Topic 3: Data Layer | 25% | - Implement and configure the right data transformations
|
| Topic 4: Security | 10% | - Determine security and sharing settings
|
| Topic 5: Einstein Discovery | 20% | - Describe Einstein Discovery concepts
|
Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions:
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. Drop the field as it will be difficult to get future respondents.
- B. Fill in the missing data with an average of all incomes.
- C. Apply the predict missing values transformation in recipe nodes.
Correct Answer: C 🗳️
Explanation: Only visible for Pass4Leader members. You can sign-up / login (it's free).
The CRM Analytics consultant at Universal Containers (UC) has set up data sync for the Salesforce Opportunity object with the Amount currency field added. This is being used in multiple datasets and dashboards, as UC is a multi-currency organization.
The currency used in Salesforce records is set up in GBP but the data on the dashboard is converting to USD.
Conversion logic is not set up on any of the recipes.
Why is the currency converting?
- A. The Integration User currency is set up as USD.
- B. The ANS local currency is set up as USD.
- C. The org corporate currency is set up as USD.
Correct Answer: C 🗳️
Explanation: Only visible for Pass4Leader members. You can sign-up / login (it's free).
Universal Containers plans to upload target data from an external tool to CRM Analytics so it 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 rep, the target amount, and the month of the target. For each sales rep, 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. Update
- B. Append
- C. Overwrite
Correct Answer: C 🗳️
Explanation: Only visible for Pass4Leader members. You can sign-up / login (it's free).
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 recipe node "delete" and set "userID" as the deletion ID.
- B. Use the combination of recipe transformations: "join" and "filter".
- C. Use the "update" transformation and utilize the "filter" node.
Correct Answer: B 🗳️
Explanation: Only visible for Pass4Leader members. You can sign-up / login (it's free).
Cloud Kicks needs a CRM Analytics consultant to install the Appointment Analytics App. After installation, they realize the wrong field was picked and the app did not have access to a newly created field that should be used instead of the old one.
What is the first step the consultant should take to prevent erroneous dataset/dashboard creation?
- A. Cancel running installations from Setup
- B. Update the app with the new field after installation.
- C. Stop the recipe from running in Data Manager.
Correct Answer: C 🗳️
Explanation: Only visible for Pass4Leader members. You can sign-up / login (it's free).
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