36 practice questions with answers for Tableau interviews in Delhi.
Tableau jobs in Delhi
Delhi NCR has one of India's biggest pools of IT, consulting, banking and start-up jobs. Delhi itself hosts many corporate, government-tech and consulting offices, and most candidates also apply across Noida and Gurgaon, so interviews here mix service-company and product-company styles.
Below are 36 questions that match the mix of service, product and domain employers hiring tableau developers in Delhi.
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Tableau uses exponential smoothing models to forecast continuous time series. It chooses the best model, with or without trend and seasonality, based on the data and shows prediction intervals. You need a continuous date and a measure. Options include forecast length, aggregation level and ignoring the last incomplete period. It suits quick projections, while complex forecasting needs Python or R integration.
02
Your percent of total changes when a user filters Category. The business wants it to stay fixed. What do you do?
If you used a quick table calculation, the total is computed on the filtered view, so it changes. Replace it with a FIXED LOD for the total, which ignores dimension filters, or use EXCLUDE for the filtered dimension. Make sure any filters that should affect the total are added to context. Test with and without filters and document the behaviour.
03
What is the Hyper engine and what are its benefits?
Hyper is Tableau's in-memory data engine used for extracts since version 10.5. It is a columnar engine that loads and queries large datasets quickly, supports incremental refresh, and handles billions of rows on good hardware. Extracts in .hyper format improve dashboard speed, reduce load on source databases, and allow aggregation and filtering at extract time to keep the file small.
04
What is the difference between a live connection and an extract?
A live connection sends queries directly to the source database each time the view changes, so data is always current but performance depends on the database. An extract is a compressed snapshot stored in the Hyper format, which is usually faster and works offline, but must be refreshed on a schedule. Teams choose live for real-time needs and extracts for speed or slow sources.
05
What are reference lines, bands and distributions?
Reference lines mark a constant, average, median or parameter value across an axis, such as a target. Reference bands shade a range between two values, such as acceptable delivery time. Distributions show percentiles, quantiles or standard deviations. They are added from the Analytics pane or by right-clicking an axis, and can be computed per table, pane or cell.
06
What are the Compute Using options such as Table Across and Pane Down?
Table Across computes left to right across the whole table, Table Down top to bottom, Table Across then Down moves across then wraps, Pane options restrict the calculation to each pane, Cell computes within a single cell, and Specific Dimensions lets you tick exact addressing fields. Specific Dimensions is the most reliable because it does not change when the layout is rearranged.
07
What is the difference between bins and histograms in Tableau?
A bin is a dimension created from a continuous measure by splitting values into equal-sized ranges, for example ages in buckets of 10. A histogram is the chart that counts records in each bin. Tableau can create both automatically through Show Me. You can choose bin size manually or tie it to a parameter so users change bucket width interactively.
Small multiples are a grid of similar charts that share axes, one for each category, such as a sales line chart per region. They make comparisons easier than one crowded chart with many coloured lines. In Tableau you create them by adding a dimension to Rows or Columns alongside the chart fields, or with index-based calculations for a trellis grid.
09
Describe a time a stakeholder disagreed with your visualisation choice.
Situation: a sales head wanted a 3D pie chart for regional share. Task: deliver what he needed while keeping the chart readable. Action: I made both versions, showed how the bar chart made the rank and gap between regions obvious, and kept his preferred colours. Result: he chose the bar chart for the monthly review and asked me to apply the same style to other reports.
10
How do you build a dynamic Top 10 customers chart?
Drag Customer Name to Rows and SUM(Sales) to Columns. Drag Customer Name to Filters, open the Top tab, choose By field, Top 10 by Sales Sum. For a flexible version, create an integer parameter and select it instead of the fixed 10, then show the parameter control. If other filters must apply first, add them to context so Top N works on filtered data.
11
What do you do when you are stuck on a Tableau problem?
Situation: in my internship I could not get a running total to restart each year. Task: solve it without wasting a day. Action: I reproduced it on sample data, checked documentation on addressing and partitioning, tried Specific Dimensions, and asked a senior with a clear description when still stuck. Result: I fixed it within an hour and wrote a note for the team.
With no dimension, FIXED computes at the table level, returning grand total sales for the whole data source, after context and data source filters. It is useful for percent of total: SUM([Sales]) / MIN({FIXED : SUM([Sales])}). Since it repeats on every row, wrap it in MIN, MAX or AVG in the view rather than SUM, which would multiply the total.
13
Build a Pareto chart showing what share of customers drive 80 percent of sales.
Sort customers by sales descending on Columns. Running share of sales:
RUNNING_SUM(SUM([Sales])) / TOTAL(SUM([Sales]))
Running share of customers:
INDEX() / SIZE()
Use a dual axis with bars for sales and a line for running percent, and add a reference line at 0.8.
14
What is meant by granularity or level of detail of a view?
The level of detail of a view is the combination of dimensions placed on Rows, Columns and the Marks card. Each unique combination produces one mark. If only Region is in the view, Sales is summed per region; adding Category on Detail splits each region into category marks. Understanding view granularity is the foundation for LOD expressions and for explaining why numbers change when fields are added.
15
Describe how you work with data engineers on a BI project.
Situation: my dashboard needed customer data that was spread across three systems. Task: get a reliable, single table. Action: I wrote clear requirements with grain, fields and refresh needs, shared sample SQL, and reviewed their view together, testing counts against source systems. Result: they built a curated table, my dashboard became simpler and faster, and we reused the table for two other reports.
16
A string calculation CONTAINS([Product], 'phone') misses some rows. Why?
CONTAINS is case-sensitive in many sources, so Phone or PHONE will not match. Use CONTAINS(LOWER([Product]), 'phone') to normalise case. Also trim extra spaces and check for nulls. If you need complex patterns, use REGEXP_MATCH where the data source supports it. Test the result by counting matched rows and reviewing samples.
17
A CSV loads dates as strings like 15-08-2025. How do you convert them?
Try changing the data type to Date first; Tableau may parse it automatically. If not, use DATEPARSE with the pattern: DATEPARSE('dd-MM-yyyy', [Date String]). For extracts and most databases this works reliably. Alternatively use MAKEDATE with INT of SPLIT parts. Then check for nulls, which indicate rows with a different format that need cleaning.
18
A dashboard compares stores of very different sizes and small stores are invisible. What do you do?
Use relative metrics such as growth percent, sales per square foot or target achievement instead of absolute sales. Consider log scale for wide ranges, separate small multiples by store size band, or independent axes. Sorting and highlighting outliers also help. Explain the chosen normalisation in the subtitle so readers understand the comparison.
19
A manager wants to download dashboard data into Excel but you must protect sensitive fields. What do you do?
Control capabilities through permissions: allow Download Summary Data but deny Download Full Data, or deny downloads entirely for some groups. Remove sensitive fields from the data source or hide them, and apply row-level security so downloaded data is limited to the user's scope. Provide a dedicated crosstab sheet with approved fields for export and document what is allowed.
20
After joining Orders with Returns, total sales went up. What happened?
The join type or grain caused duplication. If Returns has multiple rows per order, an inner or left join repeats each order line, so SUM(Sales) inflates. Fix it by using a relationship instead of a join, aggregating Returns to order level before joining, or using an LOD to deduplicate. Always check row counts before and after a join to catch this problem early.
21
What are sites, projects and permissions on Tableau Server?
A site is an isolated tenant with its own users, content and settings. Projects are folders within a site that hold workbooks, data sources and flows, and can be nested. Permissions are set on projects and content for users and groups, using capabilities such as view, download, web edit and publish. Locking project permissions keeps security consistent for all content inside.
22
Calculate average sales per customer for each region.
Use INCLUDE to compute at customer level inside each region:
AVG({INCLUDE [Customer ID] : SUM([Sales])})
Place Region on Rows. Tableau sums sales per customer within each region, then averages those totals. Without INCLUDE, AVG([Sales]) would give average per order line, which answers a different question.
23
Users complain that a dashboard with 10 dropdown filters is slow. How do you improve it?
Measure first with performance recording. Reduce the number of quick filters and replace some with dashboard filter actions. Change Only Relevant Values to All Values in Database where cascading is not needed. Add an Apply button to multi-select filters, convert high-cardinality filters to wildcard search, and move fixed restrictions to data source filters. Re-test after changes.
Create an extract from the Data menu, choose Extract Data, and tick Incremental refresh. Select a column whose values always increase, such as Order ID or Load Timestamp. Publish to Server or Cloud and create a schedule for incremental refresh, plus an occasional full refresh. Ensure the source does not update old records, or those changes will be missed.
25
What is custom SQL in Tableau and what are its drawbacks?
Custom SQL lets you write your own query as a data source, useful for complex logic or pre-aggregation. The drawback is performance: Tableau wraps it as a subquery, so the database may not optimise filters well, and it blocks some features such as join culling. It is also harder to maintain. Prefer database views or relationships and use custom SQL only when needed.
Tableau applies filters and calculations in a fixed sequence: extract filters, data source filters, context filters, then sets, Top N and FIXED LOD, then dimension filters, then INCLUDE and EXCLUDE LOD and blending, then measure filters, then table calculations, totals and reference lines, and finally table calculation filters and trend lines. Knowing this explains why a FIXED calculation ignores a normal dimension filter unless it is added to context.
Subscriptions email users an image or PDF snapshot of a view or dashboard on a schedule, such as every Monday at 9 AM. Data-driven alerts notify users when a measure crosses a threshold, such as inventory below safety stock, checked when data refreshes. Both help business users who do not open dashboards daily, but too many can cause email fatigue.
28
Your company is migrating from Tableau Server to Tableau Cloud. What would you plan?
Inventory content and usage to retire unused workbooks, map sites, projects, users, groups and permissions, and plan authentication. Set up Tableau Bridge for on-premise data, recreate schedules and subscriptions, and use migration tools to move content. Test critical dashboards for performance and row-level security, plan a pilot, communicate cut-over dates, and keep a rollback plan.
29
How do you improve dashboard performance in Tableau?
Use the performance recorder to find slow queries and rendering. Use extracts with only needed fields and rows, aggregate data, reduce marks and sheets, limit quick filters and relevant values, prefer integer and boolean calculations, avoid heavy custom SQL, use fixed dashboard size for caching, and hide unused fields. Workbook Optimizer in Desktop also suggests improvements based on best practices.
The Analytics pane offers summarise options such as constant line, average line, median with quartiles, box plot and totals, model options such as average with confidence interval, trend line, forecast and clustering, and custom reference lines, bands, distributions and box plots. Dragging an item onto the view adds it at table, pane or cell scope.
Moving Avg:
WINDOW_AVG(SUM([Sales]), -2, 0)
This averages the current month and the two previous months. Compute along month. Use a dual axis to show actual sales as bars and the moving average as a line, which smooths seasonal noise for trend analysis.
32
What is the difference between Tableau Server and Tableau Cloud?
Tableau Server is self-hosted on the company's own infrastructure or cloud machines, so IT manages installation, upgrades, scaling and security. Tableau Cloud is a fully hosted software-as-a-service platform managed by Tableau, with automatic upgrades. Cloud reaches on-premise data through Tableau Bridge. Companies with strict data residency or customisation needs may prefer Server.
Create an integer parameter Top N with a range 5 to 50 and step 5. Drag Product to Filters, open the Top tab, choose By field, select Top and pick the Top N parameter, by SUM of Sales. Right-click the parameter and Show Parameter. Add region to context if Top N should apply within the selected region.
34
Your manager says the dashboard total does not match the Excel total. How do you investigate?
First compare filters, date ranges and data refresh time between both sources. Check the aggregation used, for example SUM versus AVG, and whether joins have duplicated rows, which inflates totals. Use View Data to inspect underlying rows and COUNT the records. Check null handling and whether Excel has hidden rows or manual adjustments. Document the cause and fix it at the data source level.
A published data source is a data connection with calculations, metadata and refresh schedules stored on Server or Cloud, which many workbooks can connect to. It provides a single version of truth, central refresh, and permissions, and can be certified by data stewards. Changes to calculations update all connected workbooks. It is a key practice for governance in enterprise Tableau.
Place MONTH(Order Date) continuous on Columns and SUM(Sales) on Rows. Use quick table calc Running Total, or write:
RUNNING_SUM(SUM([Sales]))
Set Compute Using to Order Date. To restart each year, add YEAR(Order Date) to the view and compute along month only, making year the partition.
Frequently asked questions
Which companies hire Tableau professionals in Delhi?
Companies with large offices in Delhi include many IT services and product firms. Use their company pages below to practise employer-specific sets.
Are Tableau interviews in Delhi different from other cities?
The questions depend more on the company than the city. Delhi's mix of employers decides the style: Delhi itself hosts many corporate, government-tech and consulting offices, and most candidates also apply across Noida and Gurgaon, so interviews here mix service-company and product-company styles
How do I find Tableau jobs in Delhi?
Shortlist companies with Delhi offices, keep your CV focused on Tableau projects, apply on company career pages and job portals with the Delhi filter, and practise the questions on this page before each interview.