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| Section | Weight | Objectives |
|---|---|---|
| Exploring and Analyzing Data | 37% | - Create interactive dashboards and stories - Apply calculations and aggregations - Use filters, parameters, and sets - Create and customize visualizations - Sort, group, and summarize data |
| Understanding Tableau Concepts | 15% | - Data types and roles - Visualization best practices - Workbook, worksheet, and dashboard structure - Dimensions vs measures |
| Connecting to and Preparing Data | 23% | - Connect to various data sources - Join and union data - Data cleaning and transformation - Manage data fields and hierarchies |
| Sharing Insights | 25% | - Export and publish visualizations - Publish and share workbooks - Ensure accessibility and clarity - Set permissions and access |
>> Analytics-101 Actual Test Answers <<
In today's competitive technology sector, the Salesforce Analytics-101 certification is a vital credential. Many applicants, however, struggle to obtain up-to-date and genuine Salesforce Analytics-101 exam questions in order to successfully prepare for the exam. If you find yourself in this circumstance, don't worry since DumpsTorrent has you covered with their real Salesforce Analytics-101 Exam Questions. Let's look at the characteristics of these Salesforce Salesforce Certified Tableau Desktop Foundations test Questions and how they can help you pass the Salesforce Analytics-101 certification exam on the first try.
NEW QUESTION # 22
What are three geographic roles that a Tableau associate can assign to a field?
Answer: A,C,E
Explanation:
The supported choices are Country, Airport, and City, making A, B, and D correct. A geographic role tells Tableau how the values in a field should be interpreted geographically. Once Tableau recognizes the role, it can associate those values with built-in geocoding information and generate geographic fields such as Latitude (generated) and Longitude (generated) for map creation. Tableau's supported location data includes countries and regions, cities, states and provinces, postal codes, airport codes, and several other standardized geographic structures. Country and City are therefore standard geographic roles. Tableau also supports worldwide airport codes, enabling fields containing appropriate airport identifiers to be interpreted geographically. A general street Address is not one of the standard built-in geographic roles represented by the answer set. Exact street-address mapping normally requires appropriate coordinate information, spatial data, custom geocoding, or another supported technique. Time zone likewise is not a standard geographic role used by Tableau's built-in geocoding model. The distinction matters because assigning an unsupported semantic category does not automatically give Tableau coordinates. Official Tableau Desktop mapping guidance specifically identifies countries, cities, airport codes, and other supported geographic location categories for map creation.
NEW QUESTION # 23
A Tableau associate needs to display the complete list of potential data connections when connecting to a server.
Which action should the associate perform?
Answer: A
Explanation:
The associate should select More under To a Server, making D correct. Tableau Desktop organizes available connectors on the Connect pane into broad categories such as To a File and To a Server. Frequently used server connectors may be displayed directly, but Tableau provides the More option to expose the complete list of supported server-based connection types available in the installation. Official Tableau connector documentation repeatedly states: For a complete list of data connections, select More under To a Server. This workflow is used when locating database and server connectors such as Microsoft SQL Server, PostgreSQL, SharePoint Lists, and other supported platforms. Selecting More under To a File instead displays file-based connection types and therefore does not satisfy a requirement specifically involving server connections.
Choosing File > New creates a new workbook and does not expose the complete server connector list.
"Connecting to Data" is not the command required to reveal all server options. This distinction is operationally important because the Connect pane intentionally surfaces common connector choices while More exposes the broader connector catalog. Current Tableau documentation for multiple server connectors confirms the More under To a Server workflow for viewing the complete connection list.
NEW QUESTION # 24
Which two statements accurately describe relationships in Tableau Desktop?
Answer: B,C
Explanation:
Relationships are designed to preserve each table's level of detail and keep logical tables separate within the data source, making A and B correct. Unlike physical joins, relationships do not flatten participating tables into one combined row-level table when the data source is created. Tableau keeps each logical table distinct and evaluates the relationship dynamically based on fields actually used in a visualization. This architecture helps Tableau analyze data residing at different granularities while reducing the duplication and data-loss risks that can occur with fixed physical joins. Tableau's official relationship documentation explicitly states that relationships maintain each table's native level of detail and create independent domains at multiple granularities. The tables are not merged together in the data source. Option C describes the behavior of joins or unions in the physical layer. Physical tables can be combined to form one logical table, but this is not what a relationship does. Option D is also incorrect because relationships do not require the author to choose a fixed join type such as inner, left, right, or full outer. Tableau determines appropriate joins contextually during analysis. Relevant Tableau Desktop concepts include logical tables, physical tables, relationships, contextual joins, cardinality, and preservation of granularity.
NEW QUESTION # 25
A Tableau associate needs to share a workbook with a user who does NOT have access to the underlying data.
The user must be able to modify existing visualizations.
What should the associate do?
Answer: A
Explanation:
The associate should save the workbook as a Tableau Packaged Workbook (.twbx). A packaged workbook can contain the workbook itself together with copies of supported local data sources, Tableau extracts, background images, and other workbook resources. This directly addresses the scenario because the recipient does not have access to the original underlying data. When appropriate data is packaged with the workbook, the recipient can open the workbook in Tableau Desktop and interact with or modify its existing worksheets and visualizations without requiring the author's original file paths. A .twb file contains the workbook definition but normally references external data rather than packaging the required local resources. Therefore, it would not reliably solve the access problem. Creating a .hyper file alone provides an extract but does not contain the complete Tableau workbook, including worksheets, dashboards, calculations, formatting, parameters, and visualization definitions. Exporting views produces presentation-oriented outputs and does not satisfy the requirement to modify the existing Tableau visualizations. Tableau specifically recommends packaged workbooks when sharing with someone who does not have access to referenced resources or the original environment.
NEW QUESTION # 26
A Tableau associate is creating a combined axis chart.
Where should the associate drag the second measure after dragging the first measure to the Rows shelf?
Answer: D
Explanation:
Because the first measure is on the Rows shelf, Tableau creates a vertical quantitative axis in the visualization. To construct a combined axis, the associate should drag the second measure directly onto that existing vertical axis, making B correct. A combined axis allows multiple measures to share the same axis instead of displaying them in separate panes or on independent dual axes. When the second measure is dragged onto the existing axis and Tableau displays the appropriate drop indicator, Tableau creates a shared Measure Values-based view containing both measures. The orientation matters. Fields on Rows normally produce a vertical y-axis, whereas fields on Columns normally generate a horizontal x-axis. Consequently, because the first measure was specifically placed on Rows, the target is the vertical axis rather than the horizontal axis. Dropping the second measure on the Marks card would encode that field through a mark property rather than create a combined quantitative axis. Dropping it on Filters would restrict records or values and would not combine the measures. This mechanism should also be distinguished from a dual-axis chart, where two independent axes are layered. A combined axis instead places multiple measures on a shared axis and commonly uses Measure Names and Measure Values for differentiation.
NEW QUESTION # 27
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