LTIMindtree Tableau Developer Interview Questions and Answers

Q1. What is Slowly Changing Dimension (SCD) in Tableau?
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Q2. Difference between historic and current data
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Q3. LODS and types with example
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Q4. Extract and Live Connection
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Q5. What is an empty extract, and what is the process for creating one?
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Q6. Window Functions
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Q7. Context Filter
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Q1. Live vs extract connection
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Live connection allows real-time data updates while extract connection improves performance by storing data locally.
• Live connection connects directly to the data source for real-time updates.

• Extract connection stores a snapshot of the data locally for faster performance.

• Live connection is suitable for small datasets or when real-time updates are crucial.

• Extract connection is recommended for large datasets or when perfo
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Q2. Joins vs blending
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Joins are used to combine data from different tables based on a related column, while blending is used to combine data from different data sources within the same worksheet.
• Joins are used when you have related data in different tables and want to combine them based on a common column.

• Blending is used when you have data from different sources like Excel and SQL and want to combine them in the same worksheet.

• Joins requir...read more
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Q1. What is the order of operations of the Tableau filters?
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The order of operations of Tableau filters is context filters, extract filters, data source filters, and then dimension filters.
• Context filters are applied first, followed by extract filters, data source filters, and finally dimension filters.

• Context filters create a temporary table that only includes the data relevant to the filter.

• Extract filters are applied to the data extract before it is loaded into Tableau.

• Data s...read more
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Q2. What is a context filter?
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A context filter is a filter that is applied to a specific worksheet or dashboard, affecting only the data displayed in that context.
• Context filters are used to filter data at a more granular level within a worksheet or dashboard.

• They allow users to focus on specific data points without affecting the overall data set.

• Context filters can be created by right-clicking on a field in the Filters shelf and selecting 'Add to ...read more
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Q3. What do you mean by rolling 3,6,12 months? How it is different than YTD, MTD, QTD?
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Rolling 3, 6, 12 months refers to analyzing data over the past 3, 6, or 12 months, while YTD, MTD, QTD refer to year-to-date, month-to-date, quarter-to-date.
• Rolling 3, 6, 12 months involves looking at data over the past 3, 6, or 12 months, providing a trend analysis over a specific time period.

• YTD (Year-to-Date) refers to data from the beginning of the current year up to the present date.

• MTD (Month-to-Date) refers to d...read more
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Q4. How will you calculate %YoY growth?
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To calculate %YoY growth, subtract the previous year's value from the current year's value, divide by the previous year's value, and multiply by 100.
• Calculate YoY growth = ((Current Year Value - Previous Year Value) / Previous Year Value) * 100

• For example, if sales were $100 in 2020 and $120 in 2021, YoY growth = (($120 - $100) / $100) * 100 = 20%
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Q1. Live and Extract
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Q2. Scenario Donut chart
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Q3. LOD Scenario use case
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Q4. Difference between rank and dense rank
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Rank assigns unique ranks to each row, while dense rank assigns consecutive ranks without gaps.
• Rank leaves gaps in rank numbers if there are ties, while dense rank does not

• Rank function is non-consecutive, while dense rank function is consecutive

• Rank function can skip numbers, while dense rank function does not
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Q5. 2nd highest salary
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Basic Level questions about Tableau

Q1. Types of LODs in Tableau
Ans. 
Types of LODs in Tableau include Fixed, Include, and Exclude.
• Fixed LOD: Computes a value using specified dimensions, regardless of the visualization level.

• Include LOD: Computes a value at a specified level of detail, including dimensions not in the visualization.

• Exclude LOD: Computes a value at a specified level of detail, excluding dimensions not in the visualization.
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