Free TDS-C01 practice test

Tableau connects to a wide range of sources: files (Excel, CSV, JSON), relational databases, cloud warehouses, and more. Options B, C, and D all understate Tableau's connectivity.

A left join keeps every row from the left table (Orders) and adds matching right-table (Returns) columns, filling nulls where there's no match. 'Only returned orders' (B) is an inner join, 'returns with no order' (C) isn't a left join result, and stacking rows (D) is a union.

Relationships define how tables relate and let Tableau choose the correct join type and aggregation level per visualization, avoiding premature flattening and duplication. They don't immediately flatten tables (B), aren't limited to text files (D), and differ from unions (C), which stack rows.

Tableau assigns categorical fields (names, dates, categories) as dimensions and numeric fields you'd aggregate (sales, quantity) as measures. Option D is backwards, they aren't the same (B), and measures are central to views (A).

A live connection sends queries to the source in real time (always current), while an extract (.hyper) is a saved snapshot in Tableau's optimized columnar format (fast, portable, works offline). Option B reverses the definitions, they aren't identical (C), and extracts work with many sources (D).

A table calculation (like Percent of Total) computes values based on the data already in the view (e.g., each mark relative to the total). A data source filter (B) limits data, a group (C) combines members, and a bin (D) buckets a measure.

A hierarchy nests related dimensions (Country > State > City; Year > Quarter > Month) enabling drill-down/up in views. It doesn't aggregate measures (B), filter the source (C), or change mark types (D).

Sorting the dimension by the measure in descending order arranges bars from largest to smallest — done via the toolbar sort or the field's sort menu. Changing data type (A), extracting (B), and URL actions (D) don't sort the view.

Tableau aggregates measures by default (commonly SUM), so a measure appears as SUM(Sales) at the view's level of detail. Filtering (D), splitting (C), and pivoting (B) are unrelated operations.

A crosstab (text table) shows values arranged in rows and columns, similar to a spreadsheet — good for precise numbers. It's not a map (B), a single KPI (C), or an animated scatter (D).

Encoding two measures means using two Marks properties — e.g., length (via the axis) for one and Color for the other — so each conveys a different measure. Putting both on Detail (A) or Tooltip (C) wouldn't visually encode them, and Pages (B) animates/steps through values.

A context filter is applied first, producing a temporary subset that remaining filters and top-N/FIXED-style calculations then act on — useful for controlling filter order. It doesn't change colors (B), sort (C), or publish (D).

A filter action makes a selection in one sheet filter other sheets on the dashboard, adding interactivity. A data source filter (B) limits data globally, a trend line (C) is analytics, and a bin (D) buckets a measure.

The Tooltip displays customizable information when a viewer hovers over a mark, improving on-demand detail. A data source filter (B), union (C), and bin (D) don't control hover text.

A highlight action emphasizes matching marks across sheets while keeping all data visible. A filter action (B) removes non-matching data, a URL action (C) opens a web page, and a set action (D) updates set membership.

Device layouts let a single dashboard have tailored arrangements for desktop, tablet, and phone. A data source filter (B), calculated field (C), and union (D) don't address responsive layout.

A .twbx (packaged workbook) bundles the workbook plus its data/extracts and resources, so a recipient can open it without the original data connection. A .twb (B) references data but doesn't include it, and CSV (C)/PDF (D) aren't interactive workbooks.

Discrete (blue) vs continuous (green) is independent of dimension vs measure; a date dimension, for instance, can be placed as discrete (headers) or continuous (axis). Option B is false (dimensions can be continuous and vice versa), C conflates the concepts, and D is false.

Tableau Desktop is the authoring tool; Tableau Server (self-hosted) and Tableau Cloud (SaaS) host and share content with governance; Tableau Public is a free platform where published content is publicly accessible. Options A, C, and D misstate the products.

Aggregation combines measure values up to the granularity of the view using functions like SUM or AVG (Tableau aggregates measures by default). It's not deleting rows (A), changing data types (B), or publishing (D).