Get Ready to Boost your Prepare for your ANC-301 Exam with 244 Questions [Q55-Q77]

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Get Ready to Boost your Prepare for your ANC-301 Exam with 244 Questions

Use Free ANC-301 Exam Questions that Stimulates Actual EXAM

Salesforce ANC-301 certification exam is recommended for professionals who are looking to advance their careers in the Salesforce ecosystem. It is also ideal for individuals who are looking to expand their skill set and expertise in data analytics and data visualization. Implement and Manage Tableau CRM certification is particularly valuable for professionals who work in sales, marketing, and service industries where data analysis and visualization are critical for success.

NO.55 Which widget property allows a consultant to restrict the view to a domain bounded by the values entered’

Add Custom Domain

Filter by Range

Add Custom Range

Add Filter

NO.56 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).

NO.57 What kind of org should you use for checking challenges when you do Trailhead modules about Analytics?

An enterprise org, because that type of org is typically used by large companies

A trial org, because you don’t need to save anything

A Developer Edition org, because it’s a free, safe environment where you can try things out

A higher education org, because analytics requires advanced math

NO.58 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?

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.

NO.59 A client has a dataset comprised of Opportunity data and Opportunity Line level dat a. The client wants to use this dataset with Einstein Discovery to understand the Opportunity win rate.
What must be done to the dataset to achieve this goal?

Select the isWon = True outcome variable and generate the story.

Filter to only look at isWon = True records to avoid skewing the results.

Click Create Story and Einstein will take care of the rest.

Change the grain by removing the line level detail as it will skew the win rate.

NO.60 What is an Analytics app?

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

NO.61 What kind of insight is “What Is The Difference”?

Descriptive

Diagnostic

Predictive

Prescriptive

Selective

NO.62 The client asks an Einstein Consultant to build a dashboard with a chart that shows revenue and quantity of units sold. Which type of Combo Chart can the consultant use?

Line over Scatter Plot

Grid over Bar

Line over Bar

Line over Stacked Bar

NO.63 What are the two main parts of a lens/exploration?

Query

Visualization

Dataset

Measure

Grouping

NO.64 Universal Containers has a dashboard for Sales Managers. They need the ability to visualize the number of Closed Won opportunities by month, quarter, or year, and then display the result in a single chart. An Einstein Consultant created a static step to display three values: ClosedDate_month, ClosedDate_quarter, and ClosedDate_year.
What should the consultant do next?

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.

NO.65 The Universal Containers company uses Einstein Analytics to build dashboards for different departments: Sales, Service, and Marketing. Users for the same department have the same role and need to have access to the same dashboards. Dashboards for different departments use some common datasets with the same row-level security.
How can an Einstein Consultant address this need?

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.

NO.66 How do you open the Actions menu for a particular case shown in a dashboard?

Click the Actions bar from a bubble chart

Hover over the case number column of the values table widget and click the arrow that appears

Double-click the case number in the Actions widget

Simply @mention the case manager for that segment

NO.67 To use the Sales Analytics app, which permission set license do you need?

Sales Wave

Sales Analytics Apps

Analytics Templated Apps

Security User

NO.68 What happens if the ui.json file is empty?

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

NO.69 What does Einstein Analytics check when a user submits a query against a dataset?

Whether the user has access to the app

Which fields the user has access to

If the user has access to the dataset

Which rows the user has access to

NO.70 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?

Storage rows of data

Salesforce external connector number of synced rows

Total number of enabled objects

Snowflake connector number synced rows

NO.71 To use the Sales Analytics app, which permission set license do you need?

Sales Wave

Sales Analytics Apps

Analytics Templated Apps

Security User

NO.72 In Einstein Discovery:

‘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.

‘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.

‘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

‘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.

NO.73 What can you do on the Edit Field Attributes page when uploading a CSV file to Analytics?

Change a field’s name

Change a field’s format

Change a field’s type

All of the above

NO.74 A Tableau CRM consultant is asked to add a new SalesTax field to a Product Sales dataset. The formula to calculate SalesTax is (SubTotal’CountyTax).
Which node should the consultant use in a recipe to calculate and insert SalesTax to the dataset?

Update

Transform

Append

join

NO.75 Benito has Viewer access to a new Einstein Analytics app. He wants to build and edit a dashboard using the Seed Bank dataset in this new app. What must an admin do for Benito to do this?

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.

NO.76 Using the Setup menu, the Universal Containers company activated data sync (replication) in the Einstein Analytics settings. After running the sync, they notice that the aggregate sum of a field within their dataset is different than what they manually calculated by summing the same data in the Salesforce object from which the dataset was populated.
Which two differences in the newly synced data can explain this? Choose 2 answers

Differences involving permanently deleted records

Differences involving workflow-updated fields

Differences involving formula fields

Differences involving trigger-updated fields

NO.77 After loading data to Einstein Discovery and creating a story, the client asks the Einstein Consultant to explain the “Unexplained Bar” in the “Why it Happened” chart.
Which explanation is correct?

It should always be 0 or the model should not be used.

It shows the difference between the predicted outcome and the observed outcome.

It displays the difference between the analyzed data and the data not reviewed.

It only appears for outcomes that do not have an explanation.