2021 Valid Einstein-Analytics-and-Discovery-Consultant test answers & Salesforce Exam PDF [Q90-Q110]

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2021 Valid Einstein-Analytics-and-Discovery-Consultant  test answers & Salesforce Exam PDF

Free Salesforce Einstein-Analytics-and-Discovery-Consultant Exam Questions & Answer from Training Expert ExamcollectionPass


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

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

 

NEW QUESTION 90
In Einstein Discovery:

  • A. 'What Happened' insights are the primary insights in your story. They are descriptive insights that help you explore, at an y/ Q overview level, what factors contributed to the outcome, based on a statistical analysis of your dataset. .Einstein Discovery uses bar charts to help you visualize What Happened insights.
  • B. 'Why It Happened' insights help you take a deeper look into the exact factors that led to an outcome.
    Why It Happened s/ Q insights drill deeper into the various factors that contributed to your story's goal.
    These insights are based on a statistical analysis of your dataset. Einstein Discovery uses waterfall charts to help you visualize Why It Happened insights.
  • C. 'Predictions and Improvements' insights help you explore what might happen in the future. For example, you can interactively perform "what if analyses in your story. Einstein Discovery provides you with predictions and suggested improvements based on a statistical analysis of your dataset and predictive analytics. To help you visualize these insights, Einstein Discovery uses:
    - waterfall charts for predictions
    - bar charts for suggested improvements
  • D. 'What Is The Difference' insights are comparative insights that help you better understand the relationships between explanatory variables and the goal (target outcome variable) in your story. These insights, based on a statistical analysis of your dataset, help you figure out which factors contribute to the biggest changes in the outcome variable. Einstein Discovery uses waterfall charts to help you visualize comparisons in What Is The Difference insights.

Answer: A,C,D

 

NEW QUESTION 91
The Event Monitoring Analytics app brings prebuilt insights and analytics to what type of existing data in your org?

  • A. Forensics data
  • B. Sales Cloud data Login
  • C. Event log file data
  • D. Field audit trail data

Answer: C

 

NEW QUESTION 92
What are two benefits of designing using the "Progressive Disclosure" principle? (Choose two.)

  • A. Discounted EA licenses when growth is achieved
  • B. Automatic conditional formatting
  • C. Improved ease of use for end users
  • D. Better dashboard performance

Answer: C,D

 

NEW QUESTION 93
Refer to the graphic.

Einstein found a recommendation to improve the story: apparently there are two variables that behave the same. Given there is no additional information, what is the correct action?

  • A. Cancel this story and redefine the dataset.
  • B. Retain Promotion; it is an actionable variable and without it, we cannot recommend prescriptive actions.
  • C. Retain Amount; not knowing the size of a deal makes it hard to predict if will be won.
  • D. Do nothing; they appear to be similar, but there might be differences from the business perspective.

Answer: B

 

NEW QUESTION 94
What is another name for the type of insight that examines how one variable explains variation of the outcome variable?

  • A. Third-order analysis
  • B. Object-oriented analysis
  • C. Second-order analysis
  • D. First-order analysis
  • E. Spectrum analysis

Answer: D

 

NEW QUESTION 95
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. Try each option in the dropdown one at a time
  • C. Answer only questions that involve custom objects
  • D. Download the app and run a SAQL query on the JSON

Answer: A

 

NEW QUESTION 96
Einstein Discovery gives you several different kinds of recommended insights. Which of these insights is descriptive?

  • A. Why It Happened
  • B. What Is the Difference
  • C. What Happened
  • D. Predictions & Improvements

Answer: C

Explanation:
Explanation
https://trailhead.salesforce.com/en/content/learn/modules/understand_einstein_discovery_stories/use_stories

 

NEW QUESTION 97
What are the two main parts of a lens/exploration?

  • A. Dataset
  • B. Query
  • C. Grouping
  • D. Measure
  • E. Visualization

Answer: C,E

 

NEW QUESTION 98
Which of the following are included in the template object?

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

Answer: D

Explanation:
Explanation
* template-info.json manages all elements of your template, including metadata information about the template, the Analytics objects that define dashboards and lenses, and the other files that are part of the template.* ui.json manages the configuration wizard that drives app creation. It defines the number of wizard pages, the order of wizard questions, and any messages you want the user to see.* variables.json contains all template variables, including text for wizard questions and specifications for the answers. Variables also define conditional questions. For example, you may want some questions to appear in the wizard only if an org contains certain data. Or you might want to add more specific questions based on the answers to more general wizard questions.* template-to-app-rules.json defines the rules the template follows. For example, you could define a rule that specifies that if an org doesn't use certain Salesforce objects, the app won't refer to them in dashboards or include them in the dataflow. Rules also define how variables are handled. For example, if the wizard asks which fields to include in filters for accounts, template-to-app-rules.json determines how that choice is reflected in dashboards.

 

NEW QUESTION 99
A company wants to build a webpage that displays KPIs that can be derived from values in datasets stored in Einstein Analytics. How can an Einstein Analytics consultant derive those KPIs from those datasets?

  • A. Export the dataset as a CSV file and load it to an external database.
  • B. Use the Analytics REST API and leverage the -query" resource.
  • C. Export the dataset as an XLS file and use the Einstein Analytics Connector for Excel.
  • D. Use the Analytics External Data API and leverage the "query" resource.

Answer: D

 

NEW QUESTION 100
A consultant built an Einstein Analytics app for the Sales Operations team. The Sales Operations team wants to share their app with other people at the company. The consultant 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 Operations app. What is the name of the JSON file that manages template metadata and all other template elements'

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

Answer: D

 

NEW QUESTION 101

Which two statements can be determined based on the Why it Happened graphic above' Choose 2 answers

  • A. Call Center is a generally poor performing product, and since there is more in Germany that has a negative effect.
  • B. Germany performs lower than average but better when the product is Call Center.
  • C. Germany sells more Call Center product and that helps them increase their win rate.
  • D. The -2.2 Unexplained means there are effects that Einstein will never be able to explain regardless of the dataset.

Answer: C,D

 

NEW QUESTION 102
In a story investigating margin, large variations between product groups are dominating the story. Which action might an Einstein Consultant take to resolve this?

  • A. Eliminate extreme values in the dataset.
  • B. Normalize the margin by product group.
  • C. Add more data to the dataset.
  • D. Run separate stories for each region.

Answer: A

 

NEW QUESTION 103
Max story creations per org per day:

  • A. 40 per org
  • B. 20 per org per clay
  • C. 40 per org per clay
  • D. 20 per org

Answer: B

 

NEW QUESTION 104
A client has two datasets that are used across seven different dashboards. Three of these dashboards are used by marketing and four are used by sales. The client requires that only marketing can access the marketing dashboards and only sales can access the sales dashboards.
What solution should be recommended?

  • A. Create three custom apps: one for marketing dashboards with marketing as "viewer", one for sales dashboards with sales as "viewer", and one for datasets where marketing and sales are "viewer".
  • B. Create one custom app for the datasets and share it with marketing and sales as "viewer".
  • C. Duplicate the datasets and create two custom apps: one for marketing dashboards and datasets with marketing as "editor" and one for sales dashboards and datasets with sales as "editor".
  • D. Create two custom apps: one for marketing dashboards with marketing as "viewer" and one for sales dashboards with sales as "viewer". Add the datasets as references to both custom apps.

Answer: A

Explanation:
Explanation/Reference:

 

NEW QUESTION 105
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 associated Activities, and fetch related Activity data, if it exists?

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

Answer: A

 

NEW QUESTION 106
A consultant is asked to create a dashboard for sales to see the forecasted sales per product family. After gathering the requirements, the consultant decides to leverage the timeseries SAQL statement to predict sales.
Which two actions must be performed when writing the SAQL query?
Choose 2 answers

  • A. Validate that there is enough data in the dataset to make a good prediction.
  • B. Include the fill SAQL statement to fill any missing dates.
  • C. Determine if the timeseries required parameter, prediction interval, should be 80 or 95.
  • D. Investigate which prediction model is best for the data available.

Answer: B,D

 

NEW QUESTION 107
What do Analytics apps do?

  • A. Let you add new types of charts to Salesforce
  • B. Let you create configuration wizards to make Analytics setup easier
  • C. Alert you when you need a visa for an upcoming trip
  • D. Use ready-made dashboards to tell easy-to-follow stories about your data

Answer: D

 

NEW QUESTION 108
Einstein Discovery is a tool that:

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

Answer: C

 

NEW QUESTION 109
A consultant built an Einstein Analytics dashboard for a company. The company then requested an enhancement to the dashboard and provided additional data that needs to be displayed. As a result, the consultant decides to "augment" the dataflow.
Which phrase describes this transformation?

  • A. Join data based on a many-to-many relationship
  • B. Join data similar to an SQL statement
  • C. Add data as a lookup relationship (left side is the lowest grain)
  • D. Add data based on the right-side grain

Answer: C

Explanation:
Explanation
https://trailhead.salesforce.com/en/content/learn/modules/wave_enable_data_integration_basics/wave_extract_sa
https://help.salesforce.com/articleView?id=bi_integrate_augment_transformation.htm&type=5

 

NEW QUESTION 110
......

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