Salesforce Analytics-Con-201 : Salesforce Certified CRM Analytics and Einstein Discovery Consultant

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Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions:

1. CRM Analytics consultant receives a new project from a client that wants to implement CRM Analytics. They do not currently have CRM Analytics but want guidance on how to ensure their users have the correct access.
They have 1,000 users with a small team of three people who will build both datasets and dashboards. An additional 15 people should be able to only create dashboards. The remaining users should only be able to view dashboards.
Which recommendation should the consultant give the client?
Which recommendation should the consultant give the client?

A) Create and assign three new Salesforce profiles according to the three types of roles defined.
B) Create and assign Salesforce permission sets according to the three types of roles defined.
C) Assign the app permissions "viewer", "editor", and "manager" to the three types of roles defined.

2. 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.

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) Drop the field as it will be difficult to get future respondents.
C) Apply the predict missing values transformation in recipe nodes.

4. A manager at Cloud Kicks wants to separate and analyze accounts based on numeric information of its opportunity records. The data includes things like amount, quantity of products, contacts, and quotes.
How should the CRM Analytics consultant accomplish this?

A) Cluster in the recipes and select the metrics used for clusterization.
B) Bucket for each measure and then use a global bucket to segment accounts.
C) Aggregate to summarize related data to account level.

5. Universal Containers asks a CRM Analytics consultant to review the performance of its local data sync.
After removing unused objects and fields from connected data, what else should the consultant do to improve performance of the data sync?

A) Contact Salesforce Support to increase sync speed.
B) Enable fast sync in analytics settings.
C) Evaluate connection mode for each connected object.

Solutions: