CRM-ANALYTICS-AND-EINSTEIN-DISCOVERY-CONSULTANT PASSGUIDE｜PERFECT TO PASS SALESFORCE CERTIFIED CRM ANALYTICS AND EINSTEIN DISCOVERY CONSULTANT

CRM-Analytics-and-Einstein-Discovery-Consultant Passguide｜Perfect to Pass Salesforce Certified CRM Analytics and Einstein Discovery Consultant

CRM-Analytics-and-Einstein-Discovery-Consultant Passguide｜Perfect to Pass Salesforce Certified CRM Analytics and Einstein Discovery Consultant

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

TopicDetails
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
  • 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 3
  • 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.

Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions (Q80-Q85):

NEW QUESTION # 80
In a dataset, there are multiple boolean fields. When displayed on any dashboard, the boolean fields should all be displayed in the same way: a value of true should result in the display of the word "Yes" in green; a value of false should result in the display of the word "No" in red.
In which two ways can this be accomplished? Choose 2 answers

  • A. Create an XMD node in the dataflow to change the label and color of the values in the fields.
  • B. In the explorer, select the boolean fields and use the "edit values" option on the fields to change values and colors.
  • C. In the explorer, select the boolean fields, then create a derived dimension that references the boolean fields, and then modify the values and colors of the derived dimension.
  • D. Download the XMD for the dataset and change the values and color for the fields and then upload to the dataset.

Answer: B,D


NEW QUESTION # 81
How can you restrict access to Analytics data at the row level?

  • A. Remove restricted rows from the JSON file.
  • B. Use a security predicate to filter which rows are returned.
  • C. Manually add a flag to each row to prevent access.
  • D. Use subtle thought control.

Answer: B

Explanation:
Predicate is a name for a filter condition that defines row-level access to records in a dataset Example: "rowLevelSecurityFilter":"'AccountOwner' == "$User.Name""


NEW QUESTION # 82
A consultant runs the sharing inheritance coverage assessment for the Opportunity object and finds that some records exceed 400 sharing descriptors.
What should the consultant do?

  • A. Use security predicates in CRM Analytics.
  • B. Increase the sharing descriptor limit in the analytics settings.
  • C. Contact Salesforce Support to increase the sharing descriptor limit.

Answer: A

Explanation:
When a record exceeds 400 sharing descriptors, it can cause performance issues or sharing rule complications in CRM Analytics. In such cases, the recommended solution is to use security predicates, which allow fine-tuned control over which data is visible to users based on their sharing rules and permissions. Security predicates reduce the number of sharing descriptors by enforcing security at the dataset level rather than relying solely on record-sharing mechanisms.
Increasing the sharing descriptor limit is not an available option, and Salesforce Support does not typically increase this limit, making the use of security predicates the best approach.


NEW QUESTION # 83
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 # 84
consultant is tasked with creating an opportunity dataset for a new analytics app. One requirement is to make sure users only see the opportunities they have access to in Salesforce. Opportunity records are private but shared using the role hierarchy. The consultant runs the sharing inheritance coverage assessment and finds that the VP of sales is not covered by the sharing inheritance. The consultant decides to proceed with using sharing inheritance for the dataset.
What else does the consultant need to do?

  • A. Set the organization-wide default for the Opportunity object to Public Read/Write.
  • B. Create a manual sharing rule to extend access to the VP of sales from the opportunity record.
  • C. Flatten the role hierarchy in the recipe and set a backup security predicate based on opportunity owner and role path.

Answer: C


NEW QUESTION # 85
......

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