Tableau-CRM-and-Einstein-Discovery-Consultant Salesforce Tableau CRM Einstein Discovery Consultant(SP23) Question and Answers

Determine if the timeseries required parameter, prediction interval, should be 80 or 95.

Investigate which prediction model is best for the data available.

Validate that there is enough data in the dataset to make a good prediction.

Include the fill SAQL statement to fill any missing dates.

Add a text widget to the dashboard to indicate Fahrenheit or Celsius.

Use the XMD node in the dataflow to customize the number format of the field.

Customize the number format in the number widget properties of the dashboard.

In Explorer, go to the Fields menu and then customize the number format of the measure.

The app, dataflows and datasets, dashboards, and permission sets

The app, dataflows and datasets, and dashboards

The app, dataflows and datasets, and users

An empty app

Use Analytics

Manage Analytics

Create and Edit Analytics Dashboard

None of above

Make Recipe1 and Recipe2 time based, but make Recipe3 event based when Recipe1 has successfully completed.

Make Recipe1 and Recipe2 time based, but make Recipe3 event based when Recipe1 and Recipe2 have successfully completed.

Make Recipe1 and Recipe2 time based, but make Recipe3 event based when the local Salesforce connector has completed.

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.

q = cogroup Opportunity by 'Id', Activities by 'Opportunityld';

q = cogroup Opportunity by 'Id', Activities by 'Opportunityld' left;

q = cogroup Opportunity by 'Id' right, Activities by 'Opportunityld';

q = cogroup Opportunity by 'Id' left, Activities by 'Opportunityld';

1000 row minimum, 15,000,000 max

3000 row minimum, 20,000,000 max

00 row minimum, 20,000,000 max

500 row minimum, 25,000,000 max

100 files per dataset

300 files per dataset

500 files per dataset

50 files Per dataset

Create one application for each department and use roles to share applications.

Create one application for each department, put common datasets in the shared app, and use profiles to share applications.

Create one application for each department, put common datasets in the shared app, and use roles to share applications.

Create one application for each department, put common datasets in the shared app, and use permission sets to share applications.

In SAQL, use the timeseries function with the following arguments: Partition (the group_by piece), Seasonality (set to 12 to get yearly seasonality).

Answer only questions that involve custom objects

Try each option in the dropdown one at a time

Download the app and run a SAQL query on the JSON

Click "Looks good, next" and look for questions highlighted in red

Replace nulls in the Churn Reason filed as ‘No reason given’’,

Exclude active customers (customer who have not churned) from the training dataset since their Churned) from the training dataset since their Churn Reason field are nulls.

For the Churn Reason field, enable the ‘’This variable contains sensitive data’’ box because it may contain sensitive customer behavior.

Exclude the Churn reason field from the dataset.

Create and assign Salesforce permission sets according to the three types of roles defined.

Assign the app permissions "viewer/' "editor," and "manager" to the three types of roles defined.

Create and assign three new Salesforce profiles according to the three types of roles defined.

Assign "Einstein Analytics Explorer" licenses to users that should only view the dashboard, and assign "Einstein Analytics Developer" licenses to users that should be able to create datasets and dashboards.

Differences involving permanently deleted records

Differences involving workflow-updated fields

Differences involving formula fields

Differences involving trigger-updated fields

Create 4 analytics lenses and embed them onto the account record page

Create datasets for account managers to explore

Create a dashboard and embed it onto the account record page with a filter based on the viewed account

Create a dashboard and embed onto the account record page

Import the CSV file into Einstein Discovery.

Import the CSV file into the most similar Salesforce object, then run reports on that object.

You can't import data from a CSV file

Import the CSV file into an Einstein Analytics dataset, then create a story.

Add the new field to the existing dataset and use the XMO file parameters to hide the new field from users who should not have access to it.

Add the new field to the existing dataset and activate "Sharing inheritance" in the Account object so only users who have access to the field in Salesforce will have access in Einstein Analytics.

Create a new Account dataset containing the new field and give access to this dataset only to users who should be able to see the new field.

Add the new field to the existing dataset and use "Security Predicates' to hide it from users who should not access it.

Dataflow

Microsoft Azure SQL Data Warehouse Connector

Einstein Analytics Connector for Excel

Recipes

Analytics REST API

Modify dataflows to exclude unused fields and include a filter to extract relevant data.

Scale down the number of datasets to help improve data sync (replication) performance.

Start over again with new dataflows that exclude unused fields with a filter to extract relevant data.

Update the existing data sync (replication) process by removing unused fields with a filter to extract relevant data.

Utilize a Salesforce weekly export feature

Utilize Analytics Connector.

Utilize middleware with Analytics External Data API

Utilize a dataflow

Selected variable with CLV

Selected variable average with the mean

Selected variable with a different variable

Selected variable average with the filtered average

Selected variable with all story data

Add the system permission "Manage Analytics Custom Maps" to the permission set used.

Enable "Custom maps with geoJSON" in the analytics settings.

Upload the geoJSON via the API because it is not a function in the UI.

Contact Salesforce support and request to get custom maps and geoJSON enabled for the org.

Save the dataset under "My Private App" so only a subset of selected users can access the dataset.

Use a security predicate in the dataset so users can see only rows belonging to their respective regions.

Create a sharing rule in Salesforce based on the Region field in the user object and set the dataset to inherit sharing from Salesforce.

Save the dataset under a new application and give "viewer" access to a public group containing the list of users allowed to see the dataset.

Aggregate by a measure

Count rows by measure you want to visualize.

Filter to narrow down your results.

Grouping by a dimesnsion

Display the results graphically

You create a text-only version of an app.

The template will not include a configuration wizard.

The dataflow fails.

The app includes all possible dashboards by default.

B and D

Show the customer how to export and review the R-Code model validation results

Check the p-values and standard deviation

Use the Share and Export feature to help the customer determine if the findings make logical sense

Consult with a Data Scientist to validate the findings

The current user

The system administrator

The Integration User

The record owner

Create two permission sets with different system permissions.

Use a permission set license with two different levels of access.

Grant "Manage" access permission to the apps.

Create a permission set license assignment with two different levels of access-

SalesPefformance_1

SalesPerformance_1 waveDashboard

SalesPerformance_1 EADashboard

SalesPerformance_1 EdgeOashboard

Check if any steps can be reused for multiple purposes.

Replace AggregateFlex steps with SAQL steps.

Split the steps and charts into different pages in a dashboard.

Avoid using conditional formatting.

What Changed Over Time

How Can I Improve It

Predictions & Improvements

Why It Happened

What Happened

When Einstein Analytics Encryption is enabled, all newly registered datasets are encrypted at rest.

By default, the same keys are used to encrypt data in Einstein Analytics as are used to encrypt data in Salesforce objects.

The customer's org must have a Shield Platform Encryption tenant secret.

Bring Your Own Key is not supported.

By connecting a USB drive to your laptop

By using an Einstein analytics dataset

Only if your database administrator does it for you

Only if Salesforce does it for you

35

55

25

15

Rerun and update the story with a different algorithm.

Proceed with deployment if the model quality metric values ire sufficient.

Edit the model accuracy settings and rerun the story.

Identify additional data that may have a stronger relationship with the outcome variable.

Descriptive

Diagnostic

Predictive

Prescriptive

Selective

An admin hasn't run a dataflow.

Danielle still needs to grant Zoe a permission set containing the Manage Analytics permission.

Danielle didn't share the Mosaic app with Zoe in Einstein Analytics.

Danielle still needs to grant Zoe a permission set containing the Use Analytics permission.

Create a trigger on Opportunity and use the Salesforce External Connector to get predictions from Einstein Discovery.

Create an Apex batch on Opportunity and use the REST API to get predictions from Einstein Discovery.

Create a trigger on Opportunity and install the Einstein Discovery Writeback managed package from the AppExchange.

Create a trigger on Opportunity and use the REST API to get predictions from Einstein Discovery.

A specialized version of the Einstein Analytics platform that runs outside of Salesforce

Analytics for iPad

A collection of datasets, dashboards, lenses, and a dataflow

The blueprint for your org's Einstein Analytics implementation

5 per user, 200,000 per snapshot

10 per user, 100,000 per snapshot

10 per user, 200,000 per snapshot

5 per user, 100,000 per snapshot

Use an Iframe to embed the Salesforce page in a remote site.

Use Lightning out to embed a dashboard component in the remote site.

Use HTTPS to call the /wave/query API, supplying an encoded SAQL query as a parameter.

Export the data to a CSV, copy it to a USB drive, and load it on the remote site.

Low-fuel notifications

Sharing of apps with Communities

Access to the API

A and B

B and C

How combinations of factors affect the CLV for Naval customers

How individual factors separately affect the outcome for Naval customers

What the relationship is between significant and insignificant factors as they impact CLV for Naval customers

How the chosen variable is related to all other factors in the model for Naval customers

sfdcDigest

digest

export

edgemart

Inherited security

Security predicates

Separate apps for each region

Sharing rules

Third-order analysis

Object-oriented analysis

Second-order analysis

First-order analysis

Spectrum analysis

Update

Transform

Append

join

Use an XMD file and assign colors to each field value.

Use SAQL queries to calculate a color field and assign it to each field value.

Use a compute Expression to calculate a color field and assign it to each field value.

Use the "fields" menu when exploring the dataset and assign colors to each field value.

Set the attribute "selfjield" to true.

Set the attribute "selfjield" to false.

Set the attribute "include_self_id" to true.

Set the attribute "include_self_id" to false.

Grant Benito access to all datasets in the org.

Assign Benito a permission set that contains the permission: Create and Edit Analytics Dashboards.

Grant Benito access to the app that contains the Seed Bank dataset and assign him a permission set that contains the Create and Edit Analytics Dashboards permission.

Assign Benito a permission set that contains the permission: Create and Manage Analytics Apps.

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.

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."

Create one custom app for the datasets and share it with marketing and sales as "viewer."

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."

If no layouts are eligible for the mobile device, the first defined layout is used. (Missed)

If no layouts are eligible for the mobile device, an error message will be displayed.

If more than one layout is eligible, the one with the most device properties set is used. If there is a tie, the most recently defined layout is used. (Missed)

A layout for mobile is eligible for use when the device meets all the device properties set in the Layout panel.

There are widgets that cannot be displayed on mobile layouts.

Calculation

Column Color

Format

Length

Column Name

Representing the number of widgets on a dashboard

Filtering all related widgets in a dashboard by your selection

Something only programmers can access

Measuring the number of significant digits of precision for a particular metric

Choosing the color of the background in a graph

10,000

50,000

1,000

20,000

It binds charts together so that selecting something in one chart filters other charts by that choice.

It shifts the time period of the chart you're viewing.

It turns the dataflow on and off.

It creates a chart that shows all the faces of your data in a diamond chart.

Segment the account data per region and deploy the same model to all segments.

Deploy the same model to all accounts and set the region field as an actionable variable.

Deploy the same model to all accounts and use an Apex trigger to call the appropriate prediction.

Segment the account data per region and deploy the appropriate model for each segment.

Split the analysis into multiple models will each having fewer products

Adjust the model to eliminate extreme values in the outcome variable.

Run the model using the default variables in the Product object

Use SKU numbers rather than product names to increase clarity.

Mass edit all the records by populating the Predicted Amount field.

Use the Prediction Service API to get the prediction and populate the Predicted Amount field.

Enable a Bulk Scoring Job under the Prediction Definition.

Open all Opportunity records.

digest transformation

flatten transformation

delta transformation

sfdcDigest transformation

Open the Actions menu for an opportunity or account and select Post

Select Post to Chatter from the Actions drop-down at the top of the dashboard

Right click any bar and type your message

Send an email to a team member with "chatter:" in the subject line

The root object determines who can see the dataset.

Only data from the root object can be included in the dataset.

The root object determines what related objects you can add to the dataset.

The root object determines what app the dataset is saved in.

Use nested binding to update the grouping in the chart.

Use selection binding to update the measure in the chart.

Use result binding to update the measure in the chart.

Use selection binding to update the grouping in the chart.

Analytics permission set license (PSL)

Permission set with at least one Analytics user permission

Username and password

A and B

B and C

Use 'Connect Data Sources" and create a connection to connect the two datasets.

Use selection binding in the filters section of Che step "Step_pie_2."

Use "Connect Data Sources" and create a connection to connect the two widgets.

Use selection binding in the filters section of the step "Type_l."

Line over Scatter Plot

Grid over Bar

Line over Bar

Line over Stacked Bar

Use selection binding in the filters section of the step "Step_pie_1."

Enable the option "Apply filters from faceting" in the step "Region_1."

Enable the option "Apply filters from faceting" in the step "Step_pie_1."

Use selection binding in the filters section of the step "Region_1."

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1

0

3