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Salesforce Analytics-Con-201 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Data Integration and Connectivity | - Connecting external data sources - Data synchronization and refresh strategies |
| Security and Access | - App and dataset permissions - Row-level security and sharing rules |
| Einstein Discovery | - Insights interpretation and recommendations - Model building and predictions |
| Data Management and Preparation | - Data transformation and dataflows - Dataset creation and configuration in CRM Analytics |
| Dashboard and App Development | - Interactive filters and user experience optimization - Lens creation and dashboard design |
Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions:
1. A CRM Analytics consultant at Cloud Kicks is trying to upload data using an External Data API and the CSV file with the data wasuploaded 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) The field value added in the CSV file was contained within double quotes.
B) Proper transformations need to be performed at the external source prior to External Data API callout.
C) JSON metadata file was not uploaded along with the CSV data file.
2. 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) Loading the external object data into CRM Analytics will help joinobjects in the recipes.
B) Using a custom connector to connect to the external objects will load it into CRM Analytics.
C) Salesforce external objects are unsupported in RM Analytics recipes digest transformations.
3. In Data Alerts, a field named Region is 96.5% North America. The consultant believes that this is an important field since the majority of sales is in the North American market.
What is the appropriate action?
A) Choose the recommended action "keep only North America" and exclude all of the other rows.
B) Append more rows of data with "other values of Region" to balance the dataset properly.
C) Understand if client should only "focus on North America" or drop the field, as it does not have valuable information.
4. A dashboard designer at Cloud Kicks creates a dashboard in CRM Analytics. The designer notices fields display on the dashboard with their APIlabels, such as "AccountId.Industry", and wants to change this behavior.
The designer also notices that the fields and their order appear to randomly change when a values table is created.
What should the CRM Analytics consultant explain to help the designer?
A) The field labels can only be changed in the widget properties in the dashboard edit mode.
B) The default fields in a values table can be changed by reordering how fields appear in the JSON of the value table.
C) The default fields In a values table and the field labels can be modified in the dataset explorer.
5. Universal Containers (UC) is looking to create a dashboard for whitespace analysis. UC wants to view a particularcustomer and see what similarcustomers have bought.
Which recipe transformation is helpful for the consultant to use while creating the dataset?
A) Cluster
B) Predict Missing Values
C) Timeseries Forecasting
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: C | Question # 3 Answer: C | Question # 4 Answer: C | Question # 5 Answer: A |
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