[Q32-Q48] The Best Valid CRM-Analytics-and-Einstein-Discovery-Consultant Dumps for Helping Passing CRM-Analytics-and-Einstein-Discovery-Consultant Exam!

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The Best Valid CRM-Analytics-and-Einstein-Discovery-Consultant Dumps for Helping Passing CRM-Analytics-and-Einstein-Discovery-Consultant Exam!

UPDATED Salesforce CRM-Analytics-and-Einstein-Discovery-Consultant Exam Questions & Answer


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

TopicDetails
Topic 1
  • Data Layer: In this comprehensive section, candidates delve into the heart of data manipulation and management within the ecosystem. It's all about showcasing a deep understanding of data modeling, securing sensitive data, and employing efficient data management techniques for compliance and optimal utilization.
Topic 2
  • Admin: The Admin section takes candidates on a journey through the daily management and configuration of the platforms. It tests their ability to handle administrative tasks skillfully, manage user profiles and permissions effectively, and optimize system performance to ensure seamless operations.
Topic 3
  • 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 4
  • 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.

 

NEW QUESTION # 32
A Tableau CRM consultant decides to use a recipe to create a new dataset.
Which two source types can be used for the recipe?
Choose 2 answers

  • A. Connected data(Synced)
  • B. Records from a Salesforce object
  • C. Dataset lens
  • D. Existing datasets

Answer: A,D


NEW QUESTION # 33
In what order does Einstein Discovery present the insights that it uncovers?

  • A. Alphabetical, in descending order
  • B. Insights that explain the most variation in the outcome variable, in descending order
  • C. Alphabetical, in ascending order
  • D. Insights that explain the most variation in the outcome variable, in ascending order

Answer: B


NEW QUESTION # 34
A CRM Analytics consultant is performing column profiling on dimension column in a recipe. Newly-added rows are not being considered in the Results tab of the profile even though a sync was run for that specific object.
What is causing the issue?

  • A. Sync operation has not run properly with the new dimension column in the recipe.
  • B. The sample does not include changes to the connected object data within the last 24 hours.
  • C. Column profiling Is not applicable on a dimension column in a recipe.

Answer: B


NEW QUESTION # 35
A manager at Cloud Kicks asks for data in a dashboard to be refreshed after the sync of an external connection to Google BigQuery.
How should the consultant accomplish this?

  • A. Create 3 Salesforce flow to trigger the recipe to run once the connection sync has finished running.
  • B. Check the scheduled date/time of the sync and schedule the recipe to run 15 minutes after the start time of the sync.
  • C. Schedule the recipe to run as event-based and check the Salesforce external connection syncs checkbox.

Answer: C

Explanation:
For Cloud Kicks' requirement to refresh dashboard data synchronously with the sync of an external connection to Google BigQuery, the most efficient method is:
Event-Based Triggers: Using CRM Analytics, you can set up recipes to run on an event-based trigger. This ensures that the recipe (which processes the data for the dashboard) only runs after the external data sync is completed.
Salesforce External Connection Syncs: By specifically targeting the synchronization event of the Salesforce external connection with Google BigQuery, the recipe ensures data consistency and timeliness without manual intervention.
Automation and Efficiency: This approach minimizes latency and maximizes data freshness, aligning data processing closely with data availability, thus enhancing dashboard accuracy.


NEW QUESTION # 36
A Tableau CRM consultant has created three recipes that each produce a dataset.
Recipe1 creates Dataset1.
Recipe2 created Dataset2.
Recipe2 created Dataset3.
Recipe3 is dependent on Dataset1, while Recipe1 and Recipe2 have no dependencies.
How should the consultant implement the recipe schedule?

  • A. Make Recipe1 and Recipe2 time based, but make Recipe3 event based when the local Salesforce connector has completed.
  • B. Make all three recipe time based and schedule all of them at the same time, the data manage will automatically run them in the correct order.
  • C. Make Recipe1 and Recipe2 time based, but make Recipe3 event based when Recipe1 and Recipe2 have successfully completed.
  • D. Make Recipe1 and Recipe2 time based, but make Recipe3 event based when Recipe1 has successfully completed.

Answer: D


NEW QUESTION # 37
The CRM Analytics consultant at Universal Containers has set data syncs and recipe runs back to back. However, they notice that the data syncs and recipe run jobs fail repeatedly. Upon investigation, they realize the data syncs and recipes are tightly coupled which leads to too many runs being queued and eventually being canceled.
How should the consultant resolve this issue?

  • A. Enable priority scheduling to automatically queue shorter or smaller runs before longer or larger ones.
  • B. Set up failure notifications so that the CRM Analytics consultant gets notified when this happens and can fix the Issue.
  • C. Raise a case with Salesforce Support to help Increase the concurrency limits of the org.

Answer: A


NEW QUESTION # 38
An Einstein consultant created a dashboard that went through review. Some few charts were added and removed in the process. The dashboard is now approved for production.
Which best practice should be done before releasing the dashboard?

  • A. Rename all the steps to correspond with the defined naming convention.
  • B. Apply conditional formatting on the new charts.
  • C. Remove the redundant steps to ensure dashboard performance.
  • D. Modify the XMD so all labels and values are user-friendly.

Answer: C

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


NEW QUESTION # 39
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 # 40
What's a good way to see which required questions in the configuration wizard don't have default values?

  • A. Click "Looks good, next" and look for questions highlighted in red
  • B. Answer only questions that involve custom objects
  • C. Try each option in the dropdown one at a time
  • D. Download the app and run a SAQL query on the JSON

Answer: A


NEW QUESTION # 41
An Einstein Analytics consultant is asked to add a new SalesTax field to a Product Sales dataset. The formula to calculate SalesTax is (SubTotal'CountyTax).
Which node should the consultant use in a Dataflow to calculate and insert SalesTax to the dataset?

  • A. computeRelative
  • B. append
  • C. computeExpression
  • D. augment

Answer: C


NEW QUESTION # 42
Which of the following are requirements for enabling Analytics for Communities?

  • A. Have a Customer Community Plus or Partner Community license.
  • B. Wait at least 3 days after purchase.
  • C. Be nominated by your community peers.
  • D. B and D
  • E. Assign your community members the Analytics for Communities permission set license.

Answer: D

Explanation:
Community member should have assigned:
- 'Analytics for Communities' permission set license - a permission set that includes the 'View Analytics on Communities pages' Only users with a Customer Community Plus or Partner Community license can use this feature. This feature is supported in communities but not in portals.


NEW QUESTION # 43
In the list of insights, the first insights that you see are the ones that explain, statistically, the most variation in the outcome variable. The insights that appear later, as you scroll through the story, explain variables that, statistically, account for less of the variation in the outcome variable.
When you select one variable, what are you comparing?

  • A. Selected variable average with the mean
  • B. Selected variable with CLV
  • C. Selected variable average with the filtered average
  • D. Selected variable with a different variable
  • E. Selected variable with all story data

Answer: E


NEW QUESTION # 44
An Einstein Consultant is reviewing the "Why it Happened" Insights provided by Einstein Discovery with the customer. The customer would like to validate the results. Which action should the consultant take?

  • A. Check the p-values and standard deviation
  • B. Show the customer how to export and review the R-Code model validation results
  • C. Consult with a Data Scientist to validate the findings
  • D. Use the Share and Export feature to help the customer determine if the findings make logical sense

Answer: D


NEW QUESTION # 45
When you assign any Analytics permission set to users in your org, Salesforce auto-assigns the Analytics Platform permission set license to that user.

  • A. True
  • B. False

Answer: A


NEW QUESTION # 46
A client has a dashboard for Sales Managers. They want to have a list filter that shows the name of the month. However, based on the "CloseDate_Month" field, the list filter shows numbers instead of names.
How can an Einstein Consultant use the Dataflow nodes to generate the name of month as a new dimension in the dataset?

  • A. append
  • B. compute Relative
  • C. compute Expression
  • D. flatten

Answer: C


NEW QUESTION # 47
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. 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.
  • C. Go back to the data preparation and reduce the number of fields to less than 30 in order to produce a story.
  • D. This dataset is too big and cannot be used in Einstein Discovery. Request a new dataset with fewer predictors.

Answer: B

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


NEW QUESTION # 48
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Updated CRM-Analytics-and-Einstein-Discovery-Consultant Dumps Questions For Salesforce Exam: https://www.testvalid.com/CRM-Analytics-and-Einstein-Discovery-Consultant-exam-collection.html