Salesforce - CRM-Analytics-and-Einstein-Discovery-Consultant - High Pass-Rate Salesforce Certified CRM Analytics and Einstein Discovery Consultant Reliable Exam Answers

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

Topic	Details
Topic 1	CRM Analytics Dashboard Design: Here, candidates embark on a creative exploration of data visualization and dashboard creation.
Topic 2	Einstein Discovery Story Design: This section unveils the magic of AI-driven insights and candidates' ability to craft compelling narratives around them. It involves leveraging Einstein's advanced analytics capabilities to interpret results, identify trends, and communicate actionable recommendations that drive strategic decisions.
Topic 3	CRM Analytics Dashboard Implementation: Building upon the design foundation, this section challenges candidates to bring their dashboard designs to life. It covers the technical expertise required to build, deploy, and maintain CRM analytics dashboards, ensuring their functionality and accuracy.
Topic 4	Security: Candidates stepping into this section will showcase their prowess in fortifying platforms and safeguarding data. It covers critical aspects such as user authentication, access control measures, data encryption standards, and the ability to respond to incidents and manage risks effectively.

Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions (Q107-Q112):

NEW QUESTION # 107
A dataset for building the Einstein Discovery story contains 72 fields that are potentially relevant predictors.
Which approach is considered best practice to assess the top predictors in order to get to a meaningful and robust model?

A. Build the story with all the predictors and indicate that Einstein Discovery should show the top predictors.
B. This dataset is too big and cannot be used in Einstein Discovery. Request a new dataset with fewer predictors.
C. Go back to the data preparation and reduce the number of fields to less than 30 in order to produce a story.
D. Build a story with a first set of predictors and assess which predictors are important to the story. Then drop the less important ones and add the predictors that were omitted in the first run and assess their impact.

Answer: D

Explanation:
https://medium.com/@kshannon565/ea-certification-study-guide-part-3-einstein-discovery-story-design-70ffbe4666c2

NEW QUESTION # 108
An Einstein Consultant is implementing encryption for a customer.
Which two statements about Einstein Analytics Encryption are true? Choose 2 answers

A. The customer's org must have a Shield Platform Encryption tenant secret.
B. Bring Your Own Key is not supported.
C. When Einstein Analytics Encryption is enabled, all newly registered datasets are encrypted at rest.
D. By default, the same keys are used to encrypt data in Einstein Analytics as are used to encrypt data in Salesforce objects.

Answer: A,C

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

NEW QUESTION # 109
When deploying a model to an existing Prediction, w number should be considered"1

A. 3: Limit of total number of Models.
B. 20: Limit of number of models under a Prediction Definition.
C. 10: Limit of number of models under a Prediction Definition.
D. 5: Limit of total number of Prediction Definitions.

Answer: C

NEW QUESTION # 110
The CRM Analytics project team at Universal Containers is creating an app with dashboards, datasets, and lenses. The app has been shared with multiple users with Viewer, Editor, and/or Manager access.
One end user is unable to view the dashboard watchlist that was previously set up. They are receiving a "Resource not found" error while trying to access the dashboard. The team confirms that the end user has Viewer access to the app but the project team is able to view the dashboard.
What is the reason for this error?

A. The dashboard or App permission needs to be updated to Editor.
B. The dashboard has been hidden by a user with Manager access to the App.
C. The dashboard is deleted by a user with Manager access to the App.

Answer: B

NEW QUESTION # 111
A CRM Analytics administrator is working on deploying a dashboard and a dataset from a developer sandbox to a full sandbox. They have deployed the dataset via change set and manually copy-pasted the dashboard JSON into the target org. However, they notice that the conditional formatting and the widget-specific number formats have been lost in the target environment.
What is causing this issue?

A. Analytics Dashboard XMD was NOT included as part of the deployment package.
B. The recipe that generated the dataset also needs to be included as part of the package.
C. Analytics Dataset XMD was NOT included as part of the deployment package,

Answer: C

Explanation:
When deploying a dataset and dashboard between environments in CRM Analytics, it's essential to include the Extended Metadata (XMD) file, which controls aspects such as conditional formatting and number formatting. In this case, the administrator manually copied the dashboard JSON but did not deploy the Analytics Dataset XMD, which leads to the loss of conditional formatting and widget-specific number formats in the target environment. Including the XMD ensures that all formatting and metadata are transferred correctly.

NEW QUESTION # 112
......

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