Tableau-CRM-and-Einstein-Discovery-Consultant Salesforce Tableau CRM Einstein Discovery Consultant (SP24) Dumps

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Sample Question 4

A training dataset Is being prepared for a Einstein Discovery story. One skewed with outliers. at action should the Einstein consultant take?

A. Remove the outlier rows.
B. Nothing, because the field is not the outcome variable.
C. Change the method of binning to fixed width.
D. Remove the field because it has bad data

Sample Question 5

A consultant has been brought in to help increase the adaption of Tableau CRM. It has been identified that account managers are struggling to get an overview of their accounts before meeting with them. Ideally they would like to have key details highlighted about active cases and opportunities, opportunity value and product whitespace. What can the consultant do to increase adoption?

A. Create 4 analytics lenses and embed them onto the account record page
B. Create datasets for account managers to explore
C. Create a dashboard and embed it onto the account record page with a filter based on the viewed account
D. Create a dashboard and embed onto the account record page

Sample Question 6

A data architect wants to use a dataflow transformation to implement row-level security that is based on role hierarchy in Salesforce. Which transformation should be used to level the dataset hierarch?

A. digest transformation
B. flatten transformation
C. delta transformation
D. sfdcDigest transformation

Sample Question 7

To model customer value, a consultant decided to aggregate the amount ($) individual customers spent over a 2-year span. With reference to the outcome variable, which action should the consultant take?

A. Create five bins of revenues, ranging from Very High Value, high Value, average Value, Low Value, and very Low Value in dataflow.
B. Select the option: Are you expecting a whole number greater than or equal to 0?
C. Create five bins or revenue, ranging from very high Value, High Value, Average Value, Low Value, and Very Low Value in data prep.
D. Select to minimize the outcome variable.

Sample Question 8

Your sales team requests that datasets for their dashboards are refreshed every hour. You agree to investigate if this is possible and find that the dashboards use A datasets created from two recipes. The first recipe takes 43 min to run and the second recipe takes 25 min to run. Is it possible to refresh data every hour?

A. Yes, the number of recipe runs does not exceed the limit of 60 in a 24 hour rolling period.
B. No, the number of recipe runs exceed the limit of 40 in a 24 hour rolling period.
C. No, the total duration of the recipe jobs exceeds one hour.
D. Yes, with the concurrent recipe runs the duration is less than hour.

Sample Question 9

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 deploy the model.
B. Remove the outliers as suggested by Einstein, and verify using model metrics and story insights if the quality improved.
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. 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).

Sample Question 10

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 Recipe1 has successfully completed.
B. Make Recipe1 and Recipe2 time based, but make Recipe3 event based when Recipe1 and Recipe2 have successfully completed.
C. Make Recipe1 and Recipe2 time based, but make Recipe3 event based when the local Salesforce connector has completed.
D. 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.

Sample Question 11

Which three things can be done with the tableau CRM Dashboard Inspector? Choose 3 answers

A. Get a list of recommendations on how to improve the performance of the dashboard.
B. View the total time required to run all queries.
C. Automatically remove bottlenecks to make queries run faster.
D. View all queries and the time it took to run each one.
E. See the final query for each query along with query results.

Sample Question 12

A consultant is tasked with creating one query that shows how many opportunities and cases there are per account. Cases and opportunities are found in two different datasets with a reference to the related Account via the AccoundId. What options do the consultant have in Analytics Studio to create the query?

A. A fill statement
B. A cogrouop or union statement
C. A union statement
D. A cogroup statement

Sample Question 13

As a tableau CRM consultant you have been asked to bring data from a Snowflake database as well external Salesforce environment into Tableau CRM (CRM Analytics Plus edition). 25 objects have been enabled from the local Salesforce connector. After further investigation of the external Salesforce environment and 15 object each from the remaining 2 external Salesforce environment. You estimate each connector will per object bring between 1000 and 1 mil rows of data.What limit will be exceeded?

A. Storage rows of data
B. Salesforce external connector number of synced rows
C. Total number of enabled objects
D. Snowflake connector number synced rows

Sample Question 14

After the initial creation of a story, the first story insight explains 93% of the variation of the outcome variable. This is unusual high? What is the most likely multiple for this?

A. The dataset contains multiple dominant values.
B. The dataset contains too many rows.
C. The dataset used in the story suffers from too many outlier values.
D. The outcome variable is causing data leakage.

Sample Question 15

A consultant built a very useful Einstein Analytics app for the corporate Sales Operations team of a company that has multiple Salesforce Ogrs, Each Org has similar models and would like to review their data the way that the corporate Sales Operations team does. The app has been packaged and needs to be installed on the other production orgs. What is the recommended practice to install the custom template app?

A. Rest API
B. Salesforce Managed Package
C. Change Sets
D. Metadata API

Sample Question 16

A customer has a dataset consisting of over 300 unique product names. They request a prediction model with the product names included. Which action should the Einstein Consultant take?

A. Split the analysis into multiple models will each having fewer products
B. Adjust the model to eliminate extreme values in the outcome variable.
C. Run the model using the default variables in the Product object
D. Use SKU numbers rather than product names to increase clarity.

Sample Question 17

A Tableau CRM consultant has just completed deployment of an analytic app containing a recipe plus several datasets and dashboards. While conducting post deployment a smoke test, the new datasets don't seem to have migrated. What post migration step has likely been forgotten? What post migration step has likely been forgotten?

A. Apply security predicates on datasets
B. Run the recipe
C. Provide read access on the datasets
D. Go to Analytics Settings in Setup and approve the deployment

Sample Question 18

A customer is reviewing a story that is set to maximize the daily sales quantity of consumer products in stores and sees this chart. The visualized tooltip belongs to the blue bar for San Francisco, reflecting, November daily sales quantities in that city specifically. What two conclusions can be drawn from this insight?

A. The average daily in SAN Francisco stores in November as 1601 items higher than the global average of 335.
B. November sales are higher than in other months. This November-effect is the strongest in San Francisco.
C. The average daily quantity in San Francisco stores in November was 1239 items higher than the average of all other months in San Francisco.
D. The average daily quantity in San Francisco stores in November was 1239 items higher than the average of all November sales in the country

Sample Question 19

The Tableau CRM team at a company creates three recipes. 1) myRecipeOne: this recipe takes 2 hours to run. 2) mvRedpeTwo: this recipe takes 1 hour and 30 minutes to run. 3) myRecipeThree: this recipe takes 1 minute and 30 seconds to run. If all three recipes run, how many count towards the 24 hour rolling recipe run limit.c

A. 2
B. 1
C. 0
D. 3

Sample Question 20

A story has been deployed to the Opportunity object with a prediction field, Predicted Amount. How can all the Opportunity records be predictions written back to the Predicted Amount field?

A. Mass edit all the records by populating the Predicted Amount field.
B. Use the Prediction Service API to get the prediction and populate the Predicted Amount field.
C. Enable a Bulk Scoring Job under the Prediction Definition.
D. Open all Opportunity records.

Sample Question 21

A customer is reviewing a story that is set to maximize the daily sales quantity of consumer products in stores, and the customer sees chart related to promotional activities and to San Francisco specifically. What conclusion can be drawn from this insight? What conclusion can be drawn from this Insight?

A. Of all promotions types in San Francisco, sales were the highest using Display promotion. play.
B. Promotions increase sales stronger in San Francisco than they do in other cities.
C. The best promotion type is Dis
D. The Other stores (visualized with the gray bars) show no significant data for the sales promotions.

Sample Question 22

An Einstein Analytics Consultant is working with a subscriptions based company to build a dashboard to understand customer renewals. Each subscription is captured as a Closed Won Opportunity within Salesforce Unfortunately the Opportunity record does not specify whether it is a renewal or a net new subscription. Which data transformation should be used to determine if a subscription is new or a renewal?

A. ComputeRelative
B. ComputeExpression
C. Augment
D. flatten

Sample Question 23

A large company is rolling out Einstein Analytics to their field sales. They have a welldefined role hierarchy where everyone is assigned to an appropriate node on the hierarchy. An individual Sales rep should be able to view all opportunities that she/he owns or as part of the account team or opportunity team. The Sales Manager should be able to view all opportunities for the entire Sales team. Similarly, the Sales Vice President should be able to view opportunities for everyone who rolls up in that hierarchy. The opportunity dataset has a field called 'Ownerld' which represents the opportunity owner. Given this information, how can an Einstein Consultant implement the above requirements?

A. As part of the dataflow, use the flatten operation on the role hierarchy and create a multivalue attribute called 'ParentRolelDs' on the opportunity dataset and apply following security predicate: 'ParentRolelDs' == "$User.UserRoleId" && 'Ownerld' == "SUser.Id".
B. As part of the dataflow, use computeExpression on the Roleld field to create an attribute called 'ParentRolelDs' on the opportunity dataset and apply following security predicate: 'ParentRolelDs' == "$User.UserRoleId" || 'Ownerld' == "$User.Id".
C. As part of the dataflow, use computeRelative on the Roleld field to create an attribute called 'ParentRolelDs' on the opportunity dataset and apply following security predicate: 'ParentRolelDs' == "$User.UserRoleId" || 'Ownerld' == "$User.Id".
D. As part of the dataflow, use the flatten operation on the role hierarchy and create a multivalue attribute called 'ParentRolelDs' on the opportunity dataset and apply following security predicate: 'ParentRolelDs' == "$User.UserRoleId" || TeamMember.Id' == "$User. Id" || 'Ownerld' == "SUser.Id".

Sample Question 24

Results from an Einstein Discovary story are reviewed with a business user. They agree with the findings but noticed that none of the fields used in the story have a correlation value greater than 4%. The client is now concerned that the model may not be good enough to next steps?

A. Rerun and update the story with a different algorithm.
B. Proceed with deployment if the model quality metric values ire sufficient.
C. Edit the model accuracy settings and rerun the story.
D. Identify additional data that may have a stronger relationship with the outcome variable.

Sample Question 25

A consultant built a Tableau CRM dashboard for a shipping company. The consultant enabled data sync (replication) to increase the speed to datasets refreshing. How often will the data on the dashboard be refreshed?

A. When the dashboard viewer clicks the Refresh button.
B. When the Data Sync runs to completion, and then recipe runs to completion.
C. When recipe runs to completion, and then Data Sync runs to completion.
D. Each time a user opens the dashboard

Sample Question 26

When you assign any Analytics permission set to users in your org, Salesforce autoassigns the Analytics Platform permission set license to that user

A. True
B. False

Sample Question 27

A company asks a Tableau CRM consultant to review the performance of their local data sync. After removing unused objects and fields from connected data, what else can the consultant do to improve performance of data sync"*

A. Enable fast sync in analytics settings
B. Contact Salesforce support to Increase sync speed
C. Evaluate connection mode for each connected object
D. Merge synced objects

Sample Question 28

Universal Containers (UC) is a multinational company that utilizes Salesforce and has a variety of internal systems. UC uses Einstein Analytics for their data analysis platform and they want to automate their weekly manual process to create a dataset from their onpremise data warehouse. Which solution should a consultant recommend to meet this requirement?

A. Utilize a Salesforce weekly export feature
B. Utilize Analytics Connector.
C. Utilize middleware with Analytics External Data API
D. Utilize a dataflow

Sample Question 29

In what order does Einstein Discoverypresent the insights that it uncovers?

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

Sample Question 30

Which dataflow transformation does data sync (replication) reference, in anexistingdataflow, to determine which Salesforce objects and fields are currently being extracted?

A. edgemart
B. sfdcRegister
C. export
D. sfdcDigest

Sample Question 31

In an org, some of the Activity records do not have related Opportunity records.Additionally, there are Opportunity records that do not have related Activity records.Which SAQL statement will fetch all Opportunities, even if they don't have associatedActivities, and fetchrelated Activity data, if it exists?

A. q = cogroup Opportunity by 'Id', Activities by 'Opportunityld';
B. q = cogroup Opportunity by 'Id', Activities by 'Opportunityld' left;
C. q = cogroup Opportunity by 'Id' right, Activities by 'Opportunityld';
D. q =cogroup Opportunity by 'Id' left, Activities by 'Opportunityld';

Sample Question 32

Einstein Discovery is a tool that:

A. Is like having a personal data scientist on staff
B. Replaces your team of BI experts and data analysts
C. Helps you hire the best data scientist for your business
D. Understands your business better than you do

Sample Question 33

A consultant built an Einstein Analytics app for the Sales Operations team. The SalesOperations team wants to share their app with other people at the company. Theconsultant recommends distributing the app as an Einstein Analytics template app.A set of JSON files will be generated after a template is created from the Sales Operationsapp. What is the name of the JSON file that manages template metadata and all othertemplate elements'

A. ui.json
B. template-to-app-rules.json
C. aster- info.j son
D. template-info.json

Sample Question 34

Which of the following are included in the template object?

A. ui.json
B. app.json
C. variables.json
D. A,B and C
E. A,C

Sample Question 35

An Einstein Discovery team created a model to maximize the margin of their salesopportunities. They want to deploy the model to the Opportunity object in order to predictthe outcome of every newly created or updated Opportunity.What are the steps to accomplish this?

A. Create a trigger on Opportunity and use the Salesforce External Connector to getpredictions from Einstein Discovery.
B. Create an Apex batch on Opportunity and use the REST API to get predictions fromEinstein Discovery.
C. Create a trigger on Opportunity and install the Einstein Discovery Writeback managedpackage from the AppExchange.
D. Create a trigger on Opportunity and use the REST API to get predictions from EinsteinDiscovery.

Sample Question 36

What is the order of filter, limit, order and offset functions in SAQL?

A. Filter and order can be interchanged. Offset must be after filter/order and limit mustcome after offset.

Sample Question 37

How do you open the Actions menu for a particular case shown in a dashboard?

A. Click the Actions bar from a bubble chart
B. Hover over the case number column of the values table widget and click the arrow that appears
C. Double-click the case number in the Actions widget
D. Simply @mention the case manager for thatsegment

Sample Question 38

What do you have to assign to users before they can access Analytics?

A. Analytics permission set license (PSL)
B. Permission set with at least one Analytics user permission
C. Username and password
D. A and B
E. B and C

Sample Question 39

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

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

Exam Code: Tableau-CRM-and-Einstein-Discovery-Consultant

Exam Name: Salesforce Tableau CRM Einstein Discovery Consultant (SP24)

Last Update: May 20, 2024

Questions: 242