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

Topic	Details
Topic 1	Einstein Discovery: This section unveils the magic of AI-driven insights and candidates' ability to analyze and choose one of the three types of predictions. It involves leveraging Einstein's advanced analytics capabilities to adjust data parameters, add or remove data and columns for the improvement of the model.
Topic 2	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 3	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 4	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.
Topic 5	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.

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Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions (Q57-Q62):

NEW QUESTION # 57
A consultant created a dashboard using Einstein Analytics for her client, a shipping company. It sources data from very large datasets. Now the client has requested that the consultant add more steps to the dashboard.
To ensure that the dashboard has acceptable performance, what two actions should the consultant take? Choose 2 answers

A. Avoid using conditional formatting.
B. Check if any steps can be reused for multiple purposes.
C. Replace AggregateFlex steps with SAQL steps.
D. Split the steps and charts into different pages in a dashboard.

Answer: B,D

NEW QUESTION # 58
A CRM Analytics consultant is building a dashboard for Cloud Kicks that is embedded in a separate Lightning page called "Management Dashboard" using a CRM Analytics Dashboard Component. The system administrator and the contract manager should both have access. The system administrator is able to see the dashboard and the data, but the contract manager sees a blank Lightning page.
What is causing the issue?

A. The consultant has set up component visibility for the dashboard for system administrators only.
B. The consultant has set up/enabled a 'Hide on Error' feature for the dashboard while embedding it.
C. The consultant has set up a dashboard filter condition for data to be visible to system administrators only.

Answer: A

Explanation:
When embedding a CRM Analytics dashboard in a Lightning page using a CRM Analytics Dashboard Component, you must configure the component's visibility settings correctly to ensure that all relevant users have access. In this case, the issue arises because the system administrator can see the dashboard, but the contract manager cannot. The most likely cause is that the consultant has set the component visibility to display only for system administrators, which would prevent the contract manager from seeing the content. To resolve this issue, the consultant must modify the component visibility settings to include both the system administrator and contract manager profiles.
Reference: CRM Analytics and Lightning Components

NEW QUESTION # 59
When creating a story in Einstein Discovery, do all potential collinear fields need to be removed before executing the build story'5

A. yes. If all collinear variables are not excluded, the model will over-fit and not make any sense.
B. No. Einstein Discovery is impervious to collinearity, so the story and subsequent model will be fine.
C. No. Although it is ideal to eliminate collinearity as soon as possible, Einstein will give a warning post-build and the ridge regression will prevent collinearity from over-fitting.
D. Yes. If the collinear variables are not removed, the Einstein Discovery model build will fail.

Answer: C

NEW QUESTION # 60
Timeout for ETL jobs that have been scheduled but not executed

A. 20 minutes
B. 5 minutes
C. 10 minutes
D. 15 minutes

Answer: B

NEW QUESTION # 61
The model quality metrics of an Einstein Discovery story indicate that the GINI coefficient in the four folds are 0.82, 0.83, 0.84, and 0.75, respectively.
Which two actions should a consultant take? Choose 2 answers

A. Confirm that the overall GINI coefficient is good prior to deploying the story.
B. Research and check the dataset for outliers in the target field and the main predictors that are shown on top of the story.
C. Deploy the story, because the variation in the metrics is within the normal range.
D. Do not deploy the story immediately, and research why one fold is performing worse than the others.

Answer: A,D

NEW QUESTION # 62
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