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

Topic	Details
Topic 1	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 2	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 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.

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Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions (Q58-Q63):

NEW QUESTION # 58
An Einstein Analytics consultant has been asked to refactor a dashboard so that it loads more quickly. After some analysis, the consultant found that most of the dashboard steps run in less than five seconds; however, the Opportunities Table takes 30 seconds to run.
How can the consultant improve the performance of this dashboard?

A. Create a Visualforce page and display a list view of the opportunities on this new page.
B. Create a link to download the list of opportunities as an Excel file.
C. Create a second dashboard and move the table to this new dashboard.
D. Create a second page on the dashboard and move the table to this new page.

Answer: D

Explanation:
https://help.salesforce.com/articleView?id=bi_dashboard_pages.htm&type=5

NEW QUESTION # 59
A consultant has created a story to maximize the daily sales quantity of consumer products in stores. After creating a story, the consulting is presented with this data alert by Einstein Discovery (see graphic).
What are two appropriate actions to take?
Choose 2 answers

A. Remove the outliers as suggested by Einstein, and verify using model metrics and story insights if the quality improved.
B. Manually remove the sales bellow 0 (negative sales must be a data issue), but keep the large value (the more data, the better the model will be).
C. Discuss with the client if values below 0 and above 2,489 are so uncommon that they should perhaps be left out of the story.
D. Remove the outliers as suggested by Einstein and deploy the model.

Answer: C,D

NEW QUESTION # 60
What can a consultant accomplish in the Predictions page of a model?

A. If it is decided to follow some of the Einstein Recommendations for model improvement, see what the new model metrics would be.
B. Estimate the impacted business value of using Einstein Discovery.
C. Create predicted outcome value by manually selecting values for some of the predictor fields.

Answer: C

Explanation:
In the Predictions page of a model within CRM Analytics (formerly Einstein Discovery), users have the capability to interact with the model to see how different input values affect predictions. Here's a detailed look at what can be accomplished:
Manual Input of Predictor Values: Users can manually input or change values for predictor fields to see how these changes alter the predicted outcomes. This is especially useful for testing hypothetical scenarios and understanding how sensitive the model is to various inputs.
Real-Time Interaction: This functionality provides a hands-on way to explore the model's behavior, offering immediate feedback on how input variations impact predictions, which can help in refining the model or in training users on its application.
Scenario Analysis: By adjusting predictor values, users can conduct scenario analyses, which are crucial for strategic planning and decision-making.

NEW QUESTION # 61
A consultant built an Einstein Analytics dashboard for a company. The company then requested an enhancement to the dashboard and provided additional data that needs to be displayed. As a result, the consultant decides to "augment" the dataflow.
Which phrase describes this transformation?

A. Join data based on a many-to-many relationship
B. Join data similar to an SQL statement
C. Add data based on the right-side grain
D. Add data as a lookup relationship (left side is the lowest grain)

Answer: D

Explanation:
https://trailhead.salesforce.com/en/content/learn/modules/wave_enable_data_integration_basics/wave_extract_salesforce_data
https://help.salesforce.com/articleView?id=bi_integrate_augment_transformation.htm&type=5

NEW QUESTION # 62
A consultant built a very useful Einstein Analytics app for Sales Operations and they want to share its contents with the rest of Global Sales. However, they do not want to add everyone in Sales to their app. The consultant recommends extending the Sales Operations app and distributing it as an Einstein Analytics template app, but needs to locate specific information to get started.
What is the REST API URL where the consultant can find current template apps?

A. /services/data/v##.#/wave/apps
B. /services/data/v##.#/analytics/wizard
C. /services/data/v##.#/analytics/projects
D. /services/data/v##.#/wave/templates

Answer: B

NEW QUESTION # 63
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