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Analytics-Con-301 Practice Questions

Salesforce Certified Tableau Consultant

Last Update 4 days ago
Total Questions : 100

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Question # 11

A client creates a report and publishes it to Tableau Server where each department has its own user group set on the server. The client wants to limit visibility of

the report to the sales and marketing groups in the most efficient manner.

Which approach should the consultant recommend?

Options:

A.  

Grant access to the report on the Tableau Server only to the members of sales and marketing user groups.

B.  

Prepare a row-level security (RLS) entitlement table to define limitations of the access and use it to build user filters in the report's data

source.

C.  

Add user filters from Tableau Server to each worksheet and select only sales and marketing user groups.

D.  

Use user groups defined on Tableau Server to build user filters in the report's data source.

Discussion 0
Question # 12

A client is considering migrating from Tableau Server to Tableau Cloud.

Which two elements are determining factors of whether the client should use Tableau Server or Tableau Cloud? Choose two.

Options:

A.  

Whether or not the client plans to leverage single sign-on (SSO)

B.  

Whether or not there are large numbers of concurrent extract refreshes

C.  

Whether or not the client needs the ability to connect to public, cloud-based data sources

D.  

Amount of data storage used on the client's existing server

Discussion 0
Question # 13

A Tableau Cloud client has requested a custom dashboard to help track which data sources are used most frequently in dashboards across their site.

Which two actions should the client use to access the necessary metadata? Choose two.

Options:

A.  

Connect directly to the Site Content data source within the Admin Insights project.

B.  

Query metadata through the GraphiQL engine.

C.  

Access metadata through the Metadata API.

D.  

Download metadata through Tableau Catalog.

Discussion 0
Question # 14

A stakeholder has multiple files saved (CSV/Tables) in a single location. A few files from the location are required for analysis. Data transformation (calculations)

is required for the files before designing the visuals. The files have the following attributes:

. All files have the same schema.

. Multiple files have something in common among their file names.

. Each file has a unique key column.

Which data transformation strategy should the consultant use to deliver the best optimized result?

Options:

A.  

Use join option to combine/merge all the files together before doing the data transformation (calculations).

B.  

Use wildcard Union option to combine/merge all the files together before doing the data transformation (calculations).

C.  

Apply the data transformation (calculations) in each require file and do the wildcard union to combine/merge before designing the visuals.

D.  

Apply the data transformation (calculations) in each require file and do the join to combine/merge before designing the visuals.

Discussion 0
Question # 15

A client wants to report Saturday and Sunday regardless of the workbook's data source's locale settings.

Which calculation should the consultant recommend?

Options:

A.  

DATEPART('weekday', [Order Date])>=6

B.  

DATEPART('iso-weekday', [Order Date])>=6

C.  

DATENAME('iso-weekday', [Order Date])>=6

D.  

DATEPART('iso-weekday', [Order Date])=1 or DATEPART('iso-weekday', [Order Date])=7

Discussion 0
Question # 16

A client has a large data set that contains more than 10 million rows.

A consultant wants to calculate a profitability threshold as efficiently as possible. The calculation must classify the profits by using the following specifications:

. Classify profit margins above 50% as Highly Profitable.

. Classify profit margins between 0% and 50% as Profitable.

. Classify profit margins below 0% as Unprofitable.

Which calculation meets these requirements?

Options:

A.  

IF [ProfitMargin]>0.50 Then 'Highly Profitable'

ELSEIF [ProfitMargin]>=0 Then 'Profitable'

ELSE 'Unprofitable'

END

B.  

IF [ProfitMargin]>=0.50 Then 'Highly Profitable'

ELSEIF [ProfitMargin]>=0 Then 'Profitable'

ELSE 'Unprofitable'

END

C.  

IF [ProfitMargin]>0.50 Then 'Highly Profitable'

ELSEIF [ProfitMargin]>=0 Then 'Profitable'

ELSEIF [ProfitMargin] <0 Then 'Unprofitable'

END

D.  

IF([ProfitMargin]>=0.50,'Highly Profitable', 'Profitable')

ELSE 'Unprofitable'

END

Discussion 0
Question # 17

A business analyst is creating a view of the top 10 customers for each region. The analyst has set a "Top 10" filter on Customer Name. However, it did not display the top 10 customers per region, as shown in the image below.

Question # 17

Which type of filter should the business analyst add to filter for region?

Options:

A.  

Extract filter

B.  

Dimension filter

C.  

Table Calculation filter

D.  

Context filter

Discussion 0
Question # 18

Which technique should a Tableau consultant use to make visualizations faster?

Options:

A.  

Use Show Relevant Values on any filters.

B.  

Remove any unneeded dimensions from the Detail shelf.

C.  

Use COUNTD to aggregate data as much as possible.

D.  

Include more sheets to increase rendering speed.

Discussion 0
Question # 19

A client needs to design row-level security (RLS) measures for their reports. The client does not currently have Tableau Data Management Add-on, and it

may be an option in the future.

What should the consultant recommend as the safest and easiest way to manage for the long term?

Options:

A.  

Create User filters based on data policies and apply them to views using set filters and option Server/Create User Filter.

B.  

Create User filters for each report using a table joined to its data source and using the option Apply to All Sheet Using the Data Source.

C.  

Create User filters based on data policies and apply them to a published data source.

D.  

Create User filters in each view of each report using set filters and option Server/Create User Filter.

Discussion 0
Question # 20

A consultant has a view using a table calculation to calculate percent of total Sales by Category. The consultant would like to filter out particular categories, but wants the percent of total calculation to remain steady even as they filter items in or out.

What should the consultant do to achieve the desired impact?

Options:

A.  

Filter Category by using a Context Filter instead of a Dimension Filter.

B.  

Filter Category by using a Data Source Filter instead of a Dimension Filter.

C.  

Create an aggregate expression, and then use that instead of the table calculation.

D.  

Create a FIXED Level of Detail (LOD) expression, and then use that instead of the table calculation.

Discussion 0
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