Can you share dashboards with others in your org?

Click on the 'Share' icon on the dashboard. From there, you can set up sharing options, post a dashboard screenshot to Chatter, get a URL to share, or download a screenshot.

Click on the 'Share' icon on the lens. From there, you can set up sharing options, post a dashboard screenshot to Chatter, get a URL to share, or download a screenshot

No, you can't share dashboards.

Click on the 'Share' icon on the dataset.

What are the steps in the data exploration process?

View, Explore, Refine, Save, Share

View, Explore, Reduce, Save, Share

Download, View, Refine, Save, Share

How do you create a regression timeseries?

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

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 on-premise data warehouse. Which solution should a consultant recommend to meet this requirement?

Utilize middleware with Analytics External Data API

Utilize a Salesforce weekly export feature

Utilize middleware with Analytics External Data API

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

Records from a Salesforce object

A story created has an AUC of .62.What two things could be done to possible improve this AUC score?Choose 2 answers

Change the order of the story insights to descending.

Run detect sentiment on the dataflow before creating the story.

Change the order of the story insights to descending.

Run detect sentiment on the dataflow before creating the story.

Add more rows of relevant data.

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?

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.

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

Remove the outliers as suggested by Einstein and deploy the model.

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.

Remove the outliers as suggested by Einstein and deploy the model.

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

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.

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).

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?

Promotions increase sales stronger in San Francisco than they do in other cities.

Of all promotions types in San Francisco, sales were the highest using Display promotion.

Promotions increase sales stronger in San Francisco than they do in other cities.

The best promotion type is Display.

The Other stores (visualized with the gray bars) show no significant data for the sales promotions.

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?

No, the number of recipe runs exceed the limit of 40 in a 24 hour rolling period.

Yes, the number of recipe runs does not exceed the limit of 60 in a 24 hour rolling period.

No, the number of recipe runs exceed the limit of 40 in a 24 hour rolling period.

No, the total duration of the recipe jobs exceeds one hour.

Yes, with the concurrent recipe runs the duration is less than hour.

A consultant is creating a Churn Prediction model to identify customers who are not likely to renew their contract.What is the appropriate action to take?

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

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.

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

Evaluate connection mode for each connected object

Enable fast sync in analytics settings

Contact Salesforce support to Increase sync speed

Evaluate connection mode for each connected object

A Tableau CRM consultant develops a dashboard calledSalesPerformance_l in a sardbox environment. To deploy the recipe the consultant creates a package in workbenchWhat is the correct meta data reference in the xml file?

SalesPerformance_1 waveDashboard

SalesPerformance_1 EdgeOashboard

When deploying a model to an existing Prediction, w number should be considered'1

10: Limit of number of models under a Prediction Definition.

5: Limit of total number of Prediction Definitions.

10: Limit of number of models under a Prediction Definition.

20: Limit of number of models under a Prediction Definition.

3: Limit of total number of Models.

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?

Use SKU numbers rather than product names to increase clarity.

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.

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?

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

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

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.

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?

Salesforce external connector number of synced rows

Total number of enabled objects

Snowflake connector number synced rows

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?

Select the option: Are you expecting a whole number greater than or equal to 0?

Create five bins of revenues, ranging from Very High Value, high Value, average Value, Low Value, and very Low Value in dataflow.

Select the option: Are you expecting a whole number greater than or equal to 0?

Create five bins or revenue, ranging from very high Value, High Value, Average Value, Low Value, and Very Low Value in data prep.

Select to minimize the outcome variable.

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

Get a list of recommendations on how to improve the performance of the dashboard.

View all queries and the time it took to run each one.

See the final query for each query along with query results.

Get a list of recommendations on how to improve the performance of the dashboard.

View the total time required to run all queries.

Automatically remove bottlenecks to make queries run faster.

View all queries and the time it took to run each one.

See the final query for each query along with query results.

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?

The dataset contains multiple dominant values.

The dataset contains too many rows.

The dataset used in the story suffers from too many outlier values.

The outcome variable is causing data leakage.

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?

The average daily in SAN Francisco stores in November as 1601 items higher than the global average of 335.

The average daily quantity in San Francisco stores in November was 1239 items higher than the average of all other months in San Francisco.

The average daily in SAN Francisco stores in November as 1601 items higher than the global average of 335.

November sales are higher than in other months. This November-effect is the strongest in San Francisco.

The average daily quantity in San Francisco stores in November was 1239 items higher than the average of all other months in San Francisco.

The average daily quantity in San Francisco stores in November was 1239 items higher than the average of all November sales in the country

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

Change the method of binning to fixed width.

Nothing, because the field is not the outcome variable.

Change the method of binning to fixed width.

Remove the field because it has bad data

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?

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

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.

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?

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

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

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?

Apply security predicates on datasets

Provide read access on the datasets

Go to Analytics Settings in Setup and approve the deployment

Universal Containers reports that nay selection in the List widget is not affecting the pie chart in one of their tableau CRM dashboard. They query options associated with the List widget and Pie chart are shown in the graphicWhich change can a Tableau CRM Consultant implement to solve this issues, given that the queries are using the same dataset?

Set faceting to All instead of None in the query ''Step_pie_1.''

Use result binding/interaction in the filters section of the query ''Step_pie_1.''

Set faceting to all instead of None in the query ''Region_1.''

Use selection binding/interaction in the filters section of the query ''Region_1.''

A consultant wants to understand what the important predictors are in the story.What are two places where this information can be found?Choose 2 answers

In the Story Settings, where the strength of predictor fields is calculated and visualized. The consultant can sort the list of predictor fields accordingly.

In the Model Metrics section, where the top predictors are listed

In the Einstein Recommendations for story improvement. If there are no recommendation to remove strongest predictors, the story doesn't hold any Important predictors but only weak (probably unrelated) terms.

In the Story Settings, where the strength of predictor fields is calculated and visualized. The consultant can sort the list of predictor fields accordingly.

In the Model Deployment Wizard while selecting the actionable fields

In the Model Metrics section, where the top predictors are listed

Salesforce Certified Tableau CRM and Einstein Discovery Consultant Practice Test 6

Spam

Selling illegal goods, money scams etc.

Hate Speech

Serious attack on a group.

Harassment and bullying

Harassing an individual (including doxing)

Harmful activities

Threatening or glorifying violence or serious harm, including self-harm

Adult content (Consensual)

Nudity/Sexual content

Sexual exploitation and abuse (child safety)

Sexually explicit or suggestive imagery or writing involving minors

Sexual exploitation and abuse (adults and animals)

Sexually explicit or suggestive imagery or writing involving non-consenting adults or non-humans

Plagiarism

Reusing content without attribution (link and blockquotes)

Poorly written

Not in English or has very bad formatting, grammar, and spelling

Inappropriate credential

Author's credential is offensive, spam, or impersonation

Other

Ex. Illegal content, incomplete question...

Salesforce Certified Tableau CRM and Einstein Discovery Consultant Practice Test 6

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Salesforce Certified Tableau CRM and Einstein Discovery Consultant Practice Tests

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