Einstein-Analytics-and-Discovery-Consultant PDF Dumps Real 2021 Recently Updated Questions [Q111-Q131]

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Einstein-Analytics-and-Discovery-Consultant PDF Dumps Real 2021 Recently Updated Questions

Released Salesforce Einstein-Analytics-and-Discovery-Consultant Updated Questions PDF


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

TopicDetails
Topic 1
  • Improve Dashboard Performance By Restructuring The Dataset And/Or Data Using Lenses
Topic 2
  • Describe How The Salesforce Platform Features Map To The Model-View-Controller (MVC) Pattern
Topic 3
  • Implement Necessary Security Settings Including Users, Groups, And Profiles
  • Implement The Appropriate Dataset Security Settings
Topic 4
  • Given Governance And Einstein Analytics Asset Security Requirements
  • Manage Migration From Sandbox To Production Orgs
Topic 5
  • Given User Requirements Or Ease Of Use Strategies, Manage Dataset Extended Metadata (XMD) By Affecting Labels, Values, And Colors
Topic 6
  • Given Business And Access Requirements, Enable Einstein Analytics, Options, And Access As Expected
Topic 7
  • Customize Existing Einstein Analytics Template Apps To Meet The Business Needs
  • Determine And Define Their Dashboarding Needs
Topic 8
  • Use Data Manager To Extract And Load The Data Into The Einstein Analytics Application To Create Datasets
Topic 9
  • Define Lens Visualizations Such As Charts To Use And Dimensions And Measures To Display
  • Describe The Process To Perform Writebacks To Salesforce Objects
Topic 10
  • Identify The Common Scenarios For Extending An Application's Capabilities Using The Appexchange
Topic 11
  • Analyze The Story Results And Determine Suggested Improvements That Can Be Presented To The Customer
Topic 12
  • Given A Scenario, Use Einstein Analytics To Design A Solution That Accommodates Dataflow Limits
Topic 13
  • Given Customer Business Requirements, Develop Selection And Results Bindings With Static Steps
  • Develop Dynamic Calculations Using Compare Tables
Topic 14
  • Implement App Sharing Based On User, Role, And Group Requirements
  • Given Row-Based Security Requirements And Security Predicates
Topic 15
  • Given A Dataset, Use Einstein Discovery To Prepare Data For Story Output By Accessing Data And Adjusting Outputs
Topic 16
  • Create Meaningful And Relevant Dashboards Through The Application Of User Experience (UX) Design Principles And Einstein Analytics Best Practices
Topic 17
  • Demonstrate Knowledge Of What Can Be Accomplished With The Einstein Analytics API
Topic 18
  • Given Derived Results And Insights, Adjust Data Parameters, Add/Remove Data, And Rerun Story As Needed

 

NEW QUESTION 111
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 all story data
  • C. Selected variable average with the filtered average
  • D. Selected variable with CLV
  • E. Selected variable with a different variable

Answer: A,B,E

 

NEW QUESTION 112
The client is trying to create a SAQL step to predict sales in each sales region. They cannot get the query to return any results, but have identified that the error is in the time series statement. They have asked an Einstein Consultant to review the following query and fix any errors.

Which timeseries statement will fix the query'

  • A. q = timeseries q generate 'sum_Sales' as Forecasted_Sales' with (Iength = 12, dateCols=('Date_Year',
    'Date_Month". "Y-M"), partition='Region');
  • B. q = timeseries q generate 'sum_Sales' as Torecasted_Sales' with (dateCols=('Date_Year', Date_Quarter',
    "Y-Q"), partition='Region', seasonality=4);
  • C. q = timeseries q generate 'sum_Sales' as Forecasted_Sales' with (dateCols=('Date_Year, Date_Quarter',
    "Y-Q"), partition=Region', ignoreLast=true);
  • D. q = timeseries q generate 'sum_Sales' as Torecasted_Sales' with (dateCols=('Date_Year', Date_Quarter',
    "Y-Q"), partition='Region');

Answer: A

 

NEW QUESTION 113
Universal Containers reports that any selection in the List widget is not affecting the Pie chart in one of their Einstein Analytics dashboards. The step options associated with the List widget and Pie chart are shown in the graphic.

Which two changes can an Einstein Consultant implement to solve this issue, given that the steps are using the same dataset? Choose 2 answers

  • A. Use selection binding in the filters section of the step "Region_1."
  • B. Enable the option "Apply filters from faceting" in the step "Step_pie_1."
  • C. Enable the option "Apply filters from faceting" in the step "Region_1."
  • D. Use selection binding in the filters section of the step "Step_pie_1."

Answer: B,D

 

NEW QUESTION 114
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. This dataset is too big and cannot be used in Einstein Discovery. Request a new dataset with fewer predictors.
  • B. Go back to the data preparation and reduce the number of fields to less than 30 in order to produce a story.
  • C. 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.
  • D. Build the story with all the predictors and indicate that Einstein Discovery should show the top predictors.

Answer: C

 

NEW QUESTION 115
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/templates
  • B. ./services/data/v# #.#/analytics/projects
  • C. /services/data/v# #.#/analytics/wizard
  • D. /services/data/v# #.#/wave/apps

Answer: A

 

NEW QUESTION 116
Which chart type is best suited to track progress of sales revenue that is realized versus the target?

  • A. Bar chart
  • B. Flat gauge
  • C. Pivot table
  • D. Pie chart

Answer: B

 

NEW QUESTION 117
How many groupings can you have in a Compare Table?

  • A. Up to four
  • B. One
  • C. Infinite
  • D. None

Answer: A

 

NEW QUESTION 118
When you set up Analytics, which of the following features can you enable?

  • A. Access to the API
  • B. B and C
  • C. Low-fuel notifications
  • D. Sharing of apps with Communities
  • E. A and B

Answer: B

Explanation:
Explanation
Community member should have assigned:
- 'Analytics for Communities' permission set license - a permission set that includes the 'View Analytics on Communities pages' Its possible to access API.
- for a user: API Enabled permission
- for all: Analytics =>Settings=>Grant all users access to Wave API for all users

 

NEW QUESTION 119
Universal Containers reports that any selection in the List widget is not affecting the Pie chart in one of their Einstein Analytics dashboards. The step options associated with the List widget and Pie chart are shown in the graphic.

Given that the steps are using different datasets. which two changes can an Einstein Consultant make to solve this issue' Choose 2 answers

  • A. Use 'Connect Data Sources" and create a connection to connect the two datasets.
  • B. Use selection binding in the filters section of Che step "Step_pie_2."
  • C. Use "Connect Data Sources" and create a connection to connect the two widgets.
  • D. Use selection binding in the filters section of the step "Type_l."

Answer: A,B

 

NEW QUESTION 120
A consultant is working with the client to define goals and metrics for an app that will be built. The consultant decides to base the dashboards on personas and is in the design phase prior to starting the actual build.
Which two design considerations should be determined at this time? Choose 2 answers

  • A. Which charts to use to best support the defined goal
  • B. Which colors to use and how to use them
  • C. How many charts should be allowed on a single dashboard
  • D. Which fonts to use for headers and body text

Answer: C

 

NEW QUESTION 121
Refer to the graphic.

Which conclusion can be made regarding the strength of the model shown?

  • A. The model is pretty good; the accuracy rating of .7597 means we can predict both wins and losses at a fairly high rate.
  • B. The model is very weak and doesn't provide useful predictions due to the low threshold.
  • C. The strength of the model cannot be determined with the metrics shown.
  • D. The model is very strong. A GINI coefficient of .535 shows that this model is very effective.

Answer: B

 

NEW QUESTION 122
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. This dataset is too big and cannot be used in Einstein Discovery. Request a new dataset with fewer predictors.
  • B. Go back to the data preparation and reduce the number of fields to less than 30 in order to produce a story.
  • C. 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.
  • D. Build the story with all the predictors and indicate that Einstein Discovery should show the top predictors.

Answer: C

Explanation:
Explanation
https://medium.com/@kshannon565/ea-certification-study-guide-part-3-einstein-discovery-story-design-70ffbe4

 

NEW QUESTION 123
A company wants to allow users who belong to an account team to see all the Opportunities associated with that Account in Einstein Analytics.
Which two actions accomplish this requirement? (Choose two.)

  • A. In the dataflow, extract the AccountTeamMember object and augment it with the Opportunity object using
    'AccountId' as the join field and apply following security predicate: 'AccountTeamMember.UserId'
    "$User.Id".
  • B. Create a master-detail relationship between the Salesforce Account and Opportunity objects.
  • C. Apply sharing inheritance.
  • D. In the dataflow, extract the OpportunityTeamMember object and augment it with the Opportunity object using 'OpportunityId' as the join field and apply the following security predicate:
    'OpportunityTeamMember.UserId' = = "$User.Id".

Answer: A,C

Explanation:
Explanation

 

NEW QUESTION 124
Which Einstein Analytics asset or assets are created when using an App Template to create an app?

  • A. An empty app
  • B. The app, dataflows and datasets, and dashboards
  • C. The app, dataflows and datasets, and users
  • D. The app, dataflows and datasets, dashboards, and permission sets

Answer: B

 

NEW QUESTION 125
An Einstein Analytics team plans to enable data sync (replication).
Which two limits are specific to data sync (replication) and should be considered before enabling the feature because they might impact existing jobs? (Choose two.)

  • A. Timeout for ELT (Extract Load Transform) jobs that are scheduled but not yet executed
  • B. Maximum number of dataflow definitions
  • C. Maximum number of dataflow transformations
  • D. Maximum number of objects that can be enabled for data sync (replication)

Answer: B,D

 

NEW QUESTION 126
The Universal Containers company used Einstein Analytics to create two datasets:
Dataset A: contains a list of activities with an "activityID" dimension and a "userID" dimension Dataset B: contains a list of users with a "userID" dimension The team wants to delete from Dataset A all activities related to users in Dataset B.
How can an Einstein Consultant help them achieve this?

  • A. Use the dataflow transformation "delete" and set "userID" as the deletion ID
  • B. Use the recipe operation "delete" and set "userID" as the deletion ID
  • C. Use a combination of dataflow transformations: "augment" and "filter"
  • D. Use an external ETL tool to extract both datasets and delete records

Answer: C

 

NEW QUESTION 127
An Einstein Discovery team created a model to maximize the margin of their sales opportunities. They want to deploy the model to the Opportunity object in order to predict the outcome of every newly created or updated Opportunity.
What are the steps to accomplish this?

  • A. Create a trigger on Opportunity and install the Einstein Discovery Writeback managed package from the AppExchange
  • B. Create a trigger on Opportunity and use the Salesforce External Connector to get predictions from Einstein Discovery
  • C. Create a trigger on Opportunity and user the REST API to get predictions from Einstein Discovery
  • D. Create an Apex batch on Opportunity and use the REST API to get predictions from Einstein Discovery

Answer: A

 

NEW QUESTION 128
Which three parameters are used in a compare table formula field to calculate and display a field as percentage value? Choose 3 answers

  • A. Column Name
  • B. Format
  • C. Calculation
  • D. Length
  • E. Column Color

Answer: A,B,C

 

NEW QUESTION 129
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. Remove the redundant steps to ensure dashboard performance.
  • C. Modify the XMD so all labels and values are user-friendly.
  • D. Apply conditional formatting on the new charts.

Answer: B

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

 

NEW QUESTION 130
Which three statements are true regarding sharing inheritance?Choose 3 answers

  • A. When sharing inheritance is enabled, security predicates are ignored.
  • B. A dataset using sharing must also have a security predicate defined.
  • C. If a user can see more than 3,000 records on the object in Salesforce, but the user does not have the
    "View All Data" permission,
    sharing inheritance is not used. The backup security predicate takes effect. This limitation does not apply to the Opportunity object.
  • D. Sharing inheritance supports Account, Campaign, Case, Contact, Opportunity, Lead, Order, User, and custom objects. If you use other objects, such as Idea or Site, you must use security predicates for those objects.
  • E. Sharing inheritance supports a foreign key for enforcing security.

Answer: A,C,D

 

NEW QUESTION 131
......

Einstein-Analytics-and-Discovery-Consultant Dumps and Practice Test (210 Exam Questions): https://www.test4cram.com/Einstein-Analytics-and-Discovery-Consultant_real-exam-dumps.html

Guide (New 2021) Actual Salesforce Einstein-Analytics-and-Discovery-Consultant Exam Questions: https://drive.google.com/open?id=1ZNimo_o_Xv_Z1xhd4h1TQLOKCJakA-fL