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Salesforce Analytics-Con-201 Exam Syllabus Topics:

Section	Objectives
Topic 1: Data Integration and Connectivity	- Connecting external data sources - Data synchronization and refresh strategies
Topic 2: Dashboard and App Development	- Interactive filters and user experience optimization - Lens creation and dashboard design
Topic 3: Security and Access	- App and dataset permissions - Row-level security and sharing rules
Topic 4: Data Management and Preparation	- Data transformation and dataflows - Dataset creation and configuration in CRM Analytics
Topic 5: Einstein Discovery	- Model building and predictions - Insights interpretation and recommendations

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Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions (Q59-Q64):

NEW QUESTION # 59
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.

Answer: C

NEW QUESTION # 60
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 App Install History under Analytics Settings and schedule the app to run at 6:00 AM EST.
C. Use the Data Manager and schedule the recipes/dataflows to run at 6:00 AM EST based on 'Time-based Scheduling'.

Answer: B

NEW QUESTION # 61
The marketing team at Cloud Kicks has five dashboards in an app. Four widgets are replicas of each other in three of the dashboards.
What is the best way to maintain these widgets?

A. Create/Edit a lens and add each dashboard.
B. Create/Edit the widgets individually on each dashboard.
C. Create/Edit a component for the widgets.

Answer: C

Explanation:
To maintain consistency and ease of updates across multiple dashboards, creating or editing a component for the widgets is the most effective method. This approach:
Efficiency in Updates: Allows changes to be made in one place, which automatically propagates to all instances where the component is used across dashboards.
Consistency: Ensures uniformity in the appearance and functionality of the widgets across different dashboards.
Simplicity: Reduces the need for redundant work, where each widget would otherwise need to be updated individually.

NEW QUESTION # 62
A model created with a GLM algorithm produced unsatisfactory results.
When re-running the model, which type of algorithm should the consultant use to improve the results?

A. XGBoost
B. K-Nearest Neighbors
C. Support Vector Machines

Answer: A

NEW QUESTION # 63
A CRM Analytics consultant is asked to make changes to the current sales dashboard at Cloud Kicks. The dashboard is crucial to track the daily sales performance of the company and needs to be available for other users while the consultant works on the changes.
How should the consultant proceed to update the dashboard?

A. Clone the dashboard to a new one, apply the changes, share the new dashboard with the users, and delete the old one.
B. Wait for a period of least usability or the dashboard to edit it.
C. Self assign as a dashboard publisher and make the changes to the dashboard in draft mode while maintaining a previous version live.

Answer: C

NEW QUESTION # 64
......

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