{"id":23844,"date":"2026-09-28T10:25:33","date_gmt":"2026-09-28T10:25:33","guid":{"rendered":"https:\/\/www.examlabs.com\/certification\/?p=23844"},"modified":"2026-09-28T10:25:33","modified_gmt":"2026-09-28T10:25:33","slug":"salesforce-certified-tableau-data-analyst-practice-test-questions-and-exam-dumps-part20-q381-400","status":"publish","type":"post","link":"https:\/\/www.examlabs.com\/certification\/salesforce-certified-tableau-data-analyst-practice-test-questions-and-exam-dumps-part20-q381-400\/","title":{"rendered":"Salesforce Certified Tableau Data Analyst Practice Test Questions and Exam Dumps Part20 Q381-400"},"content":{"rendered":"<h2><b>View Full <\/b><a href=\"https:\/\/www.examlabs.com\/certified-tableau-data-analyst-exam-dumps\"><b>Salesforce Certified Tableau Data Analyst Exam Dumps<\/b><\/a><b> and Practice Test Dumps<\/b><\/h2>\n<p>&nbsp;<\/p>\n<h3><b>Question 381.<\/b><\/h3>\n<p><b>Which Tableau feature lets users inspect underlying record details from a mark?<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">View Data<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Describe Sheet<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Workbook Summary<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 2<\/b><\/p>\n<p><b>Explanation:<\/b><\/p>\n<p><span style=\"font-weight: 400;\">View Data allows users to inspect the data contributing to a selected mark. Depending on permissions and configuration, users can examine summary information and underlying records associated with that mark. This is useful when validating unexpected values or investigating a particular segment within a visualization. Describe Sheet provides structural information about the worksheet rather than detailed records. Workbook Summary provides broader workbook information. Therefore, View Data is the appropriate feature when an analyst needs to investigate the records behind a specific visual mark.<\/span><\/p>\n<h3><b>Question 382.<\/b><\/h3>\n<p><b>What does Tableau&#8217;s Show Me panel primarily provide?<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Server administration controls<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Recommended visualization types<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Extract encryption settings<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 3<\/b><\/p>\n<p><b>Explanation:<\/b><\/p>\n<p><span style=\"font-weight: 400;\">The Show Me panel provides visualization suggestions based on the fields selected by the analyst. It can recommend suitable chart types and help users quickly construct common visualizations without manually configuring every component. The available suggestions depend on the number and types of selected fields. Server administration controls belong to Tableau&#8217;s management environment, while extract encryption settings are unrelated to chart selection. Therefore, recommended visualization types are the primary purpose of Show Me. It is particularly helpful when an analyst wants guidance on choosing an appropriate visual representation.<\/span><\/p>\n<h3><b>Question 383.<\/b><\/h3>\n<p><b>Which setting determines how a field&#8217;s values are interpreted in Tableau?<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Data type<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Workbook theme<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Dashboard padding<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 2<\/b><\/p>\n<p><b>Explanation:<\/b><\/p>\n<p><span style=\"font-weight: 400;\">A field&#8217;s data type determines how Tableau interprets its underlying values. Common data types include text, numbers, dates, and Boolean values. Correct data typing is important because Tableau applies different operations depending on the field type. For example, dates can support chronological analysis, while numerical fields can be aggregated mathematically. Workbook themes affect presentation, and dashboard padding controls layout spacing. Therefore, data type is the setting that directly influences how Tableau understands and processes a field&#8217;s values.<\/span><\/p>\n<h3><b>Question 384.<\/b><\/h3>\n<p><b>What is a primary purpose of Tableau Performance Recording?<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Changing workbook ownership<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Creating geographic roles<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Diagnosing workbook performance<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 4<\/b><\/p>\n<p><b>Explanation:<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Performance Recording helps analysts investigate why a Tableau workbook may be taking too long to load or respond. It captures performance-related events that can reveal expensive queries, rendering activity, calculations, and other processing steps. This information helps identify potential bottlenecks and provides direction for optimization. Changing ownership and creating geographic roles are unrelated administrative or analytical activities. Therefore, diagnosing workbook performance is the primary purpose of Performance Recording. Analysts can use the recorded information to determine which workbook components deserve optimization attention.<\/span><\/p>\n<h3><b>Question 385.<\/b><\/h3>\n<p><b>Which operation converts several columns into attribute-value rows?<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Pivot<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Rename<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Aggregate<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 2<\/b><\/p>\n<p><b>Explanation:<\/b><\/p>\n<p><span style=\"font-weight: 400;\">A pivot operation can restructure data by converting multiple columns into rows containing attribute and value information. This is especially useful when source data is stored in a wide format but analysis requires a more normalized structure. Renaming only changes field names and does not alter the data structure. Aggregation summarizes records into higher-level values. Therefore, Pivot is the operation used when several columns need to be transformed into attribute-value rows. Restructuring data in this way can make subsequent analysis and visualization more flexible.<\/span><\/p>\n<h3><b>Question 386.<\/b><\/h3>\n<p><b>Which Tableau calculation can return different results based on a condition?<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">DATEPART<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">WINDOW_SUM<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">IF<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 4<\/b><\/p>\n<p><b>Explanation:<\/b><\/p>\n<p><span style=\"font-weight: 400;\">The IF calculation evaluates a logical condition and returns a specified result when that condition is true, with another result available when the condition is false. This makes IF useful for classification, conditional calculations, and business rules. DATEPART extracts a component such as month or year from a date, while WINDOW_SUM performs a table calculation across a defined window. Therefore, IF is the calculation designed for condition-based results. Analysts frequently use conditional calculations to create categories or derive values based on business requirements.<\/span><\/p>\n<h3><b>Question 387.<\/b><\/h3>\n<p><b>What does a Tableau data source filter restrict?<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Records available to the data source<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Dashboard navigation paths<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Worksheet display fonts<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 2<\/b><\/p>\n<p><b>Explanation:<\/b><\/p>\n<p><span style=\"font-weight: 400;\">A data source filter restricts the records available from a particular data source. Applying such a filter can reduce the amount of data passed into worksheets and can also support consistent filtering across multiple sheets using that source. Dashboard navigation and display fonts are presentation-related settings and are not controlled by data source filters. Therefore, restricting records available to the data source is the correct description. Data source filtering can also contribute to performance improvements when unnecessary records are excluded before visualization processing.<\/span><\/p>\n<h3><b>Question 388.<\/b><\/h3>\n<p><b>Which Tableau object can display another visualization inside a tooltip?<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Text object<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Viz in Tooltip<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Image object<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 3<\/b><\/p>\n<p><b>Explanation:<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Viz in Tooltip allows an analyst to embed a secondary visualization inside the tooltip of a mark. When users hover over the relevant mark, the additional visualization can provide contextual detail without requiring navigation to another dashboard. A text object displays written content, while an image object displays a graphic. Therefore, Viz in Tooltip is the feature specifically designed for showing another visualization within a tooltip. It can be particularly useful for providing detailed trends or supporting information while keeping the primary visualization uncluttered.<\/span><\/p>\n<h3><b>Question 389.<\/b><\/h3>\n<p><b>Which data preparation action separates one field into multiple fields using delimiters?<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Split<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Sort<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Format<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 2<\/b><\/p>\n<p><b>Explanation:<\/b><\/p>\n<p><span style=\"font-weight: 400;\">The Split operation separates values from a single field into multiple fields based on a delimiter or a specified pattern. For example, a combined name field could potentially be divided into separate components. Sorting changes the order of records or displayed values, while formatting changes how values are presented. Therefore, Split is the appropriate data preparation action when a field contains multiple pieces of information that should be separated. Proper splitting can improve analysis by making individual components available as independent fields.<\/span><\/p>\n<h3><b>Question 390.<\/b><\/h3>\n<p><b>What is the main purpose of a Tableau dashboard container?<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Calculating aggregate measures<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Managing geographic coordinates<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Organizing dashboard objects<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 4<\/b><\/p>\n<p><b>Explanation:<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Dashboard containers help organize and control the placement of objects within a dashboard. They allow related objects to be grouped and arranged in horizontal or vertical structures, making it easier to maintain consistent layout behavior. Containers do not perform numerical aggregation or manage geographic coordinates. Their primary role is dashboard organization and layout management. Using containers can also make dashboards easier to resize and maintain because several objects can respond together when the container&#8217;s dimensions or position change.<\/span><\/p>\n<h3><b>Question 391.<\/b><\/h3>\n<p><b>Which function is designed to replace a null result with another value?<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">IFNULL<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">DATEPART<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">STR<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 2<\/b><\/p>\n<p><b>Explanation:<\/b><\/p>\n<p><span style=\"font-weight: 400;\">IFNULL checks whether an expression contains a null value and returns an alternative value when the expression is null. This is useful when analysts need calculations or visualizations to handle missing values consistently. DATEPART extracts a specific component from a date, while STR converts a value into a string representation. Therefore, IFNULL is the function designed specifically for substituting an alternative value when null data is encountered. Handling nulls appropriately can prevent unexpected blanks and improve the interpretability of calculated results.<\/span><\/p>\n<h3><b>Question 392.<\/b><\/h3>\n<p><b>What does Tableau&#8217;s Analytics pane help users add to a view?<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Database credentials<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Analytical objects<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Project permissions<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 3<\/b><\/p>\n<p><b>Explanation:<\/b><\/p>\n<p><span style=\"font-weight: 400;\">The Analytics pane provides access to analytical features that can be added to a visualization. Depending on the view, analysts can use analytical objects and capabilities to enhance interpretation beyond the basic marks and dimensions. Database credentials and project permissions are managed separately and are not the purpose of the Analytics pane. Therefore, analytical objects are the appropriate answer. The pane helps users incorporate additional analytical context into a worksheet without having to construct every element manually through the standard data and marks controls.<\/span><\/p>\n<h3><b>Question 393.<\/b><\/h3>\n<p><b>Which Tableau feature can notify users when a numeric condition is reached?<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Data alert<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Workbook theme<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Field alias<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 2<\/b><\/p>\n<p><b>Explanation:<\/b><\/p>\n<p><span style=\"font-weight: 400;\">A data alert can notify users when a specified data condition is met, such as a measure crossing a defined threshold. This capability can help teams monitor important metrics without constantly checking a dashboard manually. A workbook theme controls visual styling, while a field alias changes how a value is displayed. Therefore, Data alert is the feature associated with notifications based on data conditions. It can support operational monitoring by drawing attention to meaningful changes in important measures.<\/span><\/p>\n<h3><b>Question 394.<\/b><\/h3>\n<p><b>What does Tableau&#8217;s Device Designer primarily support?<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">SQL query construction<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Extract compression<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Device-specific layouts<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 4<\/b><\/p>\n<p><b>Explanation:<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Device Designer supports creating layouts that are optimized for different device types and screen dimensions. This allows an analyst to control how a dashboard should appear on environments such as desktop computers, tablets, or phones. SQL query construction and extract compression are unrelated to device layout management. Therefore, device-specific layouts are the primary purpose of Device Designer. Designing appropriate layouts helps preserve readability and usability when the same dashboard is viewed across screens with significantly different dimensions.<\/span><\/p>\n<h3><b>Question 395.<\/b><\/h3>\n<p><b>Which relationship setting describes how records correspond between related tables?<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Referential integrity<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Workbook branding<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Tooltip formatting<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 2<\/b><\/p>\n<p><b>Explanation:<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Referential integrity describes assumptions about whether matching records exist between related tables. In Tableau relationships, these settings can help the platform understand the expected nature of the relationship and potentially optimize query behavior. Workbook branding and tooltip formatting affect presentation rather than table relationships. Therefore, referential integrity is the setting associated with assumptions about matching records. Correct relationship configuration is important because Tableau can use those assumptions when generating queries and determining how related data should be combined for analysis.<\/span><\/p>\n<h3><b>Question 396.<\/b><\/h3>\n<p><b>Which Tableau capability helps users explore why a particular mark has an unexpected value?<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Device Preview<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Explain Data<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Caption Editor<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 3<\/b><\/p>\n<p><b>Explanation:<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Explain Data helps users investigate possible factors contributing to an individual mark&#8217;s value. When supported by the data and configuration, it can provide analytical explanations and identify relationships or contributing fields that may help explain an unexpected result. Device Preview focuses on dashboard appearance across devices, while caption editing concerns textual presentation. Therefore, Explain Data is the appropriate capability for investigating why a mark may have an unusual value. It can be especially useful during exploratory analysis when the reason behind a particular data point is not immediately obvious.<\/span><\/p>\n<h3><b>Question 397.<\/b><\/h3>\n<p><b>What does a cross-database join allow an analyst to combine?<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Tables from different connections<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Separate dashboard themes<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Multiple workbook captions<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 2<\/b><\/p>\n<p><b>Explanation:<\/b><\/p>\n<p><span style=\"font-weight: 400;\">A cross-database join allows tables from different database connections to participate in a joined data structure when Tableau supports the relevant connection types. This can be useful when required analysis depends on information stored in separate systems. Dashboard themes and workbook captions are presentation elements and cannot be combined through a database join. Therefore, tables from different connections are the correct answer. Cross-database joins can reduce the need to consolidate source data externally before beginning the analysis.<\/span><\/p>\n<h3><b>Question 398.<\/b><\/h3>\n<p><b>Which visualization is designed to show a measure&#8217;s distribution across bins?<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Symbol map<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Histogram<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Text table<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 3<\/b><\/p>\n<p><b>Explanation:<\/b><\/p>\n<p><span style=\"font-weight: 400;\">A histogram displays the distribution of numerical values by grouping observations into intervals called bins. The resulting bars show how frequently values occur within each range, helping analysts understand concentration, spread, and possible patterns in the data. A symbol map is designed for geographic analysis, while a text table emphasizes exact displayed values. Therefore, Histogram is the visualization suited to showing a measure&#8217;s distribution across bins. Histograms are especially useful during exploratory analysis when the analyst needs to understand the overall shape of numerical data.<\/span><\/p>\n<h3><b>Question 399.<\/b><\/h3>\n<p><b>Which Tableau feature lets users create a reusable collection of related dashboards?<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Collection<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Data type<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Worksheet caption<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 2<\/b><\/p>\n<p><b>Explanation:<\/b><\/p>\n<p><span style=\"font-weight: 400;\">A Collection can organize related Tableau content into a reusable group for easier access and sharing. This can be useful when users need to assemble several related dashboards, workbooks, or other content resources into one organized location. Data type describes how a field is interpreted, while a worksheet caption is presentation text. Therefore, Collection is the appropriate feature for organizing related content together. It supports content discovery and provides users with a more structured way to access resources that belong to the same analytical subject.<\/span><\/p>\n<h3><b>Question 400.<\/b><\/h3>\n<p><b>Which calculation returns the number of characters contained in a text value?<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">LEFT<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">FIND<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">LEN<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 4<\/b><\/p>\n<p><b>Explanation:<\/b><\/p>\n<p><span style=\"font-weight: 400;\">LEN returns the number of characters contained in a text expression. It is useful when analysts need to evaluate text length, identify unusually short or long values, or build conditional logic based on string size. LEFT returns characters from the beginning of a string, while FIND locates the position of one text sequence within another. Therefore, LEN is the correct function for measuring the character count of a text value. Text-length calculations can be useful during data-quality checks and preparation tasks.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>View Full Salesforce Certified Tableau Data Analyst Exam Dumps and Practice Test Dumps &nbsp; Question 381. Which Tableau feature lets users inspect underlying record details from a mark? View Data Describe Sheet Workbook Summary Correct Answer: 2 Explanation: View Data allows users to inspect the data contributing to a selected mark. Depending on permissions and [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[1648,1647],"tags":[],"_links":{"self":[{"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts\/23844"}],"collection":[{"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/comments?post=23844"}],"version-history":[{"count":1,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts\/23844\/revisions"}],"predecessor-version":[{"id":23845,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts\/23844\/revisions\/23845"}],"wp:attachment":[{"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/media?parent=23844"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/categories?post=23844"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/tags?post=23844"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}