A Tableau consultant tasked with evaluating a data structure is handed the below sample dataset.
Which two statements are true about the dataset? (Choose two.)
AThe data can be pivoted in order to enable a year selector.
BThe names of the columns are accurate and indicate what the data values actually mean.
CThe data needs to be denormalized before it can be used.
DThe data structure will require a lot of maintenance, as maintenance will need to be done to handle a new column for a new year.
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Question 2
Establish Governance and Support Published Content
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Question 3
Plan and Prepare Data Connections
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Question 4
Establish Governance and Support Published Content
A consultant builds a report where profit margin is calculated as SUM([Profit]) / SUM([Sales]). Three groups of users are organized on Tableau Server with the following levels of data access that they can be granted.
Group 1: Viewers who cannot see any information on profitability
Group 2: Viewers who can see profit and profit margin
Group 3: Viewers who can see profit margin but not the value of profit
Which approach should the consultant use to provide the required level of access?
ASpecify with user filters in each view individuals who can see profit, profit margin, or neither of these.
BUse user filters to access data on profitability to all groups. Then, create a calculated field that allows visibility of profit value to Group 2 and use the calculation in the view in the report.
CSpecify in the row-level security (RLS) entitlement table individuals who can see profit, profit margin, or none of these. Then, use the table data to create user filters in the report.
DUse user filters to allow only Groups 2 and 3 access to data on profitability. Then, create a calculated field that limits visibility of profit value to Group 2 and use the calculation in the view in the report.
A transport and delivery company uses a command center dashboard in its logistics and distribution hubs. The dashboard is displayed on screens to show fleet movements, delivery status, and warehouse operations. The company needs the dashboard to provide up-to-date information without human intervention. The company’s environment cannot access the internet, and the data source is configured to maintain a real-time connection.
How should the company meet this requirement?
AConfigure the data source to extract instead of live. Schedule the extract refresh of data at regular intervals.
BSearch and download a suitable sandboxed dashboard extension from Tableau Exchange to refresh the dashboard at regular intervals.
CBuild a web app with dashboard extension API that refreshes the dashboard at regular intervals. Host the web app on the company’s web server.
DSchedule a prep flow to refresh the dashboard at regular intervals.
Sales managers use a daily extract from Snowflake to see the previous day’s snapshot. Sales managers should only be able to see statistics for their direct reports. The company has access to data management on Tableau Cloud. A Tableau consultant needs to design a centralized, low-maintenance row-level security (RLS) strategy to meet these requirements.
What should the consultant implement to ensure a low-maintenance RLS strategy?
AManual user filter
BDynamic user filter
CBuilt-in RLS security in Snowflake
DData policy
During a Tableau Cloud implementation, a Tableau consultant has been tasked with implementing row-level security (RLS). They have already invested in implementing RLS within their own database for their legacy reporting solution. The client wants to know if they will be able to leverage their existing RLS after the Tableau Cloud implementation.
Which two requirements should the Tableau consultant share with the client? (Choose two.)
ABoth live and extract connections can be used.
BOnly live data connections can be used.
CThe RLS in database option must be configured in Tableau Cloud.
DThe Tableau Cloud username must exist in the database.
Question 6
Establish Governance and Support Published Content
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Question 7
Plan and Prepare Data Connections
Question 8
Design and Troubleshoot Calculations and Workbooks
Question 9
Design and Troubleshoot Calculations and Workbooks
Question 10
Design and Troubleshoot Calculations and Workbooks
Question 11
Plan and Prepare Data Connections
Question 12
Plan and Prepare Data Connections
Question 13
Plan and Prepare Data Connections
Question 14
Plan and Prepare Data Connections
Question 15
Design and Troubleshoot Calculations and Workbooks
Question 16
Design and Troubleshoot Calculations and Workbooks
Question 17
Plan and Prepare Data Connections
Question 18
Design and Troubleshoot Calculations and Workbooks
Question 19
Plan and Prepare Data Connections
Question 20
Design and Troubleshoot Calculations and Workbooks
Question 21
Design and Troubleshoot Calculations and Workbooks
Question 22
Plan and Prepare Data Connections
Question 23
Evaluate Current State
Question 24
Establish Governance and Support Published Content
Question 25
Establish Governance and Support Published Content
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A client has a Tableau Cloud deployment. Currently, dashboards are available to only internal users. The client needs to embed interactive Tableau visualizations on their public website. The data for the visualization will be less than 5,000 rows, and the data will be updated infrequently with a manual refresh. The cost of the product is a priority for the client.
Which product should the client use to meet their needs?
ATableau Server licensed per core
BTableau Embedded Analytics
CTableau Public
DTableau Cloud licensed per user
A client provides survey data to a Tableau consultant in an Excel file with the following structure.
The client would like to see how many survey respondents agree with each statement in columns B, C, and D. The consultant connects to the Excel file in Tableau Desktop.
Which steps should the consultant take next to provide the requested information?
AMerge columns B, C, and D; drag the resulting field to the rows shelf; drag the distinct count of Column A to the columns shelf.
BDrag each of columns B, C, and D to the rows shelf; drag the sum of Column A to the columns shelf.
CPivot columns B, C, and D to rows; drag the resulting fields to the rows shelf; drag the distinct count of Column A to the columns shelf.
DPivot columns B, C, and D to rows; drag the resulting fields to the rows shelf; drag the sum of Column A to the columns shelf.
A client has a data source that stores a time stamp for each time a user interacts with a product feature. They visualize 3 years of data at the daily level. As adoption has grown over the last 6 months, the dashboard performance has steadily decreased, despite connecting via a data extract that is set to refresh every hour.
A Tableau consultant needs to improve performance of the dashboard with the least impact to the visualization.
Which option meets these requirements without additional cost?
AInvest in an extract, transform, load (ETL) tool to aggregate the data to a daily level.
BLeverage Tableau Prep to aggregate the data to the daily product level.
CDecrease the extract refresh to once a day.
DAdd extract filters to limit the number of product features visualized.
A client collects information about a web browser customers use to access their website. They then visualize the breakdown of web traffic by browser version. The data is stored in the format shown below in the related table, with a NULL BrowserID stored in the Site Visitor Table if an unknown browser version accesses their website.
The client uses “Some Records Match” for the Referential Integrity setting because a match is not guaranteed. The client wants to improve the performance of the dashboard while also getting an accurate count of site visitors.
Which modifications to the data tables and join should the consultant recommend?
AAdd an “Unknown” option to the Browser Table, reference its BrowserID in the Site Visitor Table, and leave the Referential Integrity set to “Some Records Match”.
BContinue to use NULL as the BrowserID in the Site Visitor Table and leave the Referential Integrity set to “Some Records Match”.
CContinue to use NULL as the BrowserID in the Site Visitor Table and change the Referential Integrity to “All Records Match”.
DAdd an “Unknown” option to the Browser Table, reference its BrowserID in the Site Visitor Table, and change the Referential Integrity to “All Records Match”.
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?
AApply the data transformation (calculations) in each required file and do the join to combine/merge before designing the visuals.
BUse wildcard Union option to combine/merge all the files together before doing the data transformation (calculations).
CUse join option to combine/merge all the files together before doing the data transformation (calculations).
DApply the data transformation (calculations) in each required file and do the wildcard union to combine/merge before designing the visuals.
A client wants guidance for Creators to build efficient extracts from large data sources.
Which three Tableau best practices should the Creators use? (Choose three.)
AInclude all the data from the original data source in the extract.
BUse only live connections as they are always faster than extracts.
CKeep only the data required for analysis by using extract filters.
DHide all unused fields.
EUse aggregate data for visible dimensions whenever possible.
A database contains two related tables at different levels of granularity. The client wants to make all data available in Tableau Prep at the original level of granularity.
Which two solutions in Tableau meet the client’s requirements? (Choose two.)
ATwo separate Published Data Sources, one for each table
BA virtual connection to the database and both tables within it
CA single Published Data Source with a physical join between the two tables
DA single Published Data Source with a Relationship between the two tables
A business analyst needs to create a view in Tableau Desktop that reports data from both Excel and MSSQL Server.
Which two features should the business analyst use to create the view? (Choose two.)
ARelationships
BCross-Database joins
CData Blending
DUnion
A client wants to view stores serviced by delivery drivers on a map. They have the information provided in the table below.
What does the client need to do to plot exact street addresses on the map?
AEstablish a hierarchy of State > City > Street Address 1 > Street Address 2.
BCustom geocode the street addresses.
CChange the data type of Street Address 1 and Street Address 2 to the Geographic role.
DAdd a Map layer to the visualization.
A consultant is assisting a client to develop a specific dashboard. The current dashboard has the following configurations.
The dashboard uses a live connection to MySQL.
The dataset has approximately 10 million rows of daily data.
The dataset uses only 10% of the fields.
The data is updated once a month on the last day of the month.
The company only requires data at the month level.
The client wants to optimize the workbook and ensure that other users can use the data source.
What should the consultant do to meet the client’s requirements?
AHide unused fields.Keep the data source as a live connection.Publish the live connection to Tableau Server.
BHide unused fields.Use a data extract instead of a live connection.Publish the extract to Tableau Server.Assign a schedule for the end of the month.
CUse a data extract instead of a live connection.When generating the extract, aggregate data for visible dimensions and roll up dates to the month.Publish the workbook with the embedded data source to Tableau Server.
DHide unused fields.Use a data extract instead of a live connection.When generating the extract, aggregate data for visible dimensions and roll up dates to the month.Publish the extract to Tableau Server.Assign a schedule for the end of the month.
A consultant wants to improve the performance of reports by moving calculations to the data layer and materializing them in the extract.
Which type of calculation is the consultant able to move?
AA calculation that contains an aggregation
BA calculation that contains table calculation functions
CA row-level calculation
DA calculation that contains parameters
A company has a data source for sales transactions. The data source has the following characteristics.
Millions of transactions occur weekly.
The transactions are added nightly.
Incorrect transactions are revised every week on Saturday.
The end users need to see up-to-date data daily.
A consultant needs to publish a data source in Tableau Server to ensure that all the transactions in the data source are available.
What should the consultant do to create and publish the data?
APublish an incremental refresh every Saturday.
BPublish an incremental extract refresh every day and perform a full extract refresh every Saturday.
CPublish a live connection to Tableau Server.
DPublish an incremental extract refresh every day and publish a secondary dataset containing data revisions.
A client is working in Tableau Prep and has a field named OrderID that is compiled by country, year, and an order number as shown in the following table.
They want to transform the table to appear as shown.
What should the consultant use to transform the table in the most efficient manner?
AThe Split option
BThe Aliases option
CA calculated field that uses the LEFT function
DA calculated field that uses the TRIM function
A customer migrated from Tableau Server to Tableau Cloud. However, there is still private network data behind the corporate firewall that Tableau Cloud needs to access securely.
Which data connection strategy should a Tableau consultant advise with minimal software maintenance by the customer?
APrivate Connect
BTableau Bridge
CDirect Connect
DData Connect
A company has a Tableau dashboard that visualizes healthcare cost trends over time. The dashboard is connected to an extracted data source that uses Custom SQL to join two tables: a Claims table storing healthcare claims and a Members table storing member demographics. Each member can have many records in the Claims table, and each member can also have many records in the Members table.
Stakeholders at the company discover that the dashboard shows inaccurate trending data. Members’ claim costs are multiplied by the number of records the members have in the Members table. A consultant must resolve this issue while optimizing dashboard performance and ease of maintenance.
Which approach should the consultant use to solve this issue and meet the requirements?
AReplace the Custom SQL with a relationship between two Logical Tables: Members and Claims.
BUse Level of Detail (LOD) calculations to ensure that claim costs are captured at the right granularity.
CUse Table Calculations to ensure that claim costs are captured at the right granularity.
DReplace the Custom SQL with a join between two Physical Tables: Members and Claims.
A client’s fiscal calendar runs from February 1 through January 31.
How should the consultant configure Tableau to use the client’s fiscal calendar when building date charts?
AEdit the data source and set the Fiscal Year in the data preview window.
BRight click on the Date axis in charts and select Use Fiscal Calendar.
CEdit the data source Date Properties, then update the Default Properties of the Date Fields.
DCreate Calculated Fields using the FISCALQUARTER() and FISCALYEAR() functions.
A client wants to know which Tableau products to use to meet the following requirements.
Regulatory requirements state that all data must remain in the on-premises datacenter.
Prepare large datasets, including cleaning, shaping, and combining data sources.
Develop dashboards to deliver insights on the data.
Which solution should the consultant recommend?
AUse Tableau Prep to prepare the data.Use Tableau Desktop to build data visualizations.Use Tableau Server to secure and share visualizations across the organization.
BUse Tableau Prep to prepare the data.Use Tableau Desktop to build data visualizations.Use Tableau Cloud to secure and share visualizations across the organization.
CUse Tableau Desktop to model the data.Use Tableau Desktop to build data visualizations.Use Tableau Cloud to secure and share visualizations across the organization.
DUse Tableau Desktop to model the data.Use Tableau Prep to build data visualizations.Use the JavaScript API to secure and share visualizations across the organization.
A customer wants to leverage generative AI capabilities. The customer is currently on Tableau Server 2023.1.
How is the customer able to leverage generative AI in Tableau?
AMigrate Tableau Server to Tableau Cloud.
BPerform API calls from Tableau Server to sandboxed extensions hosted by Tableau.
CUse a dashboard accelerator from Tableau Exchange.
DUpgrade Tableau Server from 2023.1 to the latest version.
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 take to access the necessary metadata? (Choose two.)
AQuery metadata through the GraphiQL engine.
BDownload metadata through Tableau Catalog.
CAccess metadata through the Metadata API.
DConnect directly to the Site Content data source within the Admin Insights project.
A Tableau consultant has been asked by a client with Data Catalog which workbooks would be impacted by a change to a field in a published data source. The consultant searches the field in the published data source and responds with a list of six workbooks that will be impacted from the Lineage tab.
The client looks at the published data source and asks why the published data source reports seven connected workbooks, but only six were listed as being impacted by the change.
How should the consultant defend the conclusion that six workbooks will be impacted?
AThe field being altered is not used in the seventh workbook.
BThe consultant lacked sufficient permissions to see the seventh workbook.
CThe field is used twice in a single workbook.
DThe seventh workbook is connected via Custom SQL so it didn’t appear in the list.