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Salesforce CRM-Analytics-and-Einstein-Discovery-Consultant Exam Syllabus Topics:

Topic
Details

Topic 1

Admin
Configuration: This topic takes Salesforce consultants on a journey through the enablement of CRM Analytics. It tests their ability to design a solution that is suitable for data sync
dataflows
recipe limits.

Topic 2

Analytics Dashboard Design: Building upon the design foundation, this section challenges candidates to bring their dashboard designs to life. It covers the technical expertise required to scope, validate, and prioritize dashboard design requirements.

Topic 3

Data Layer: In this comprehensive section, Salesforce consultants delve into the heart of data extraction and loading. It's all about showcasing a deep understanding of implementing refreshes for data syncs, performing data transformations, and implementing delivery management strategies in dataflows.

Topic 4

Security: Consultants stepping into this section will showcase their prowess in implementing necessary security settings. It covers critical aspects such as suitable dataset security settings, and the ability to implement app sharing.

Topic 5

Analytics Dashboard Implementation: Here, consultants embark on a creative exploration of dashboard configuration, optimization of query performance using Dashboard Inspector, and using advanced functionality such as windowing.

Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions (Q20-Q25):

NEW QUESTION # 20
Universal Containers has a Sales Manager dashboard- They have a compare table that displays the count of Customers and the Sum of Annual Revenue per year and per Account type. A consultant is asked to add more groupings to enhance details about their customers.
What is the maximum number of grouping columns that the consultant must be aware of in order to continue using a compare table versus creating the query using SAQL?

A. 0
B. unlimited
C. 1
D. 2

Answer: A

NEW QUESTION # 21
A CRM Analytics consultant at Cloud Kicks is trying to upload data using an External Data API and the CSV file with the data was uploaded 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. Proper transformations need to be performed at the external source prior to External Data API callout.
B. The field value added in the CSV file was contained within double quotes.
C. JSON metadata file was not uploaded along with the CSV data file.

Answer: C

NEW QUESTION # 22
A CRM Analytics consultant has been asked to add a custom object to existing recipe. When trying to locate the object, the consultant can see only Direct Data and NOT the SFDC Local data sync.
How should the consultant resolve this?

A. Turn on data syne for the object, run the sync, and then add to recipe.
B. Clone the recipe, add the new object to the recipe, and run the recipe.
C. Create a new data sync connection, run the sync, and add to recipe.

Answer: A

NEW QUESTION # 23
A consultant creates a CRM Analytics dashboard in a sandbox and it needs to be migrated into production.
What should the consultant use to complete the migration?

A. Change sets
B. Analytics External Data API
C. Analytics dashboard connector

Answer: A

NEW QUESTION # 24
The Universal Containers company plans to upload target data from an external tool to Einstein Analytics so they 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 representative, the target amount, and the month of the target. For each sales representative, 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. Overwrite
B. Append
C. Update
D. Upsert

Answer: A

NEW QUESTION # 25
......

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