TCS Data Analyst and Tableau Developer Interview Questions and Answers

Q1. One round interview
Add your answer
Q2. Good questions
Add your answer

Q1. Good questions on Tableau
Add your answer
Q2. Good questions on visualization
Add your answer

Q1. Top 5 and Bottom 5 customer
Add your answer
Q2. Flag for data not updated
Ans. 
Create a flag to identify data that has not been updated
• Add a new column in the dataset called 'Updated Flag'

• Use a formula to check if the data has been updated recently

• For example, if the last update date is more than 30 days ago, set the flag to 'Not Updated'
Answered by AI
Add your answer

Q1. Live and Extract
Add your answer
Q2. Scenario Donut chart
Add your answer
Q3. LOD Scenario use case
Add your answer
Q4. Difference between rank and dense rank
Ans. 
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
Answered by AI
Add your answer
Q5. 2nd highest salary
Add your answer

Q1. What are LODS, rank functions
Ans. 
LODS (Level of Detail Expressions) and rank functions are used in Tableau for advanced calculations and analysis.
• LODS allow you to control the level of detail in your visualization by specifying the dimensions at which you want to aggregate data.

• Rank functions like RANK(), DENSE_RANK(), and ROW_NUMBER() are used to assign a rank to each row of data based on a specified criteria.

• LODS and rank functions can be used toget...read more
Answered by AI
Add your answer
Q2. Tell me about yourself
Add your answer

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.
Answered by AI
Add your answer

Q1. Server components, upgradation,job fails
Add your answer

Q1. How you handle if worker node fail
Ans. 
We ensure high availability by configuring multiple worker nodes and using load balancers.
• Configure multiple worker nodes to distribute the load and ensure redundancy.

• Use load balancers to distribute the traffic among the available worker nodes.

• Monitor the worker nodes for any failures and take appropriate actions to replace or repair them.

• Ensure that the Tableau Server is configured to automatically recover from worke...read more
Answered by AI
Add your answer
Q2. Restore with single dashboard
Ans. 
To restore a single dashboard, select the dashboard from the backup file and import it to the server.
• Locate the backup file containing the dashboard

• Open Tableau Server and go to the 'Import' tab

• Select the backup file and choose the dashboard to restore

• Click 'Import' to restore the dashboard to the server
Answered by AI
Add your answer

Q1. Tell me about Architecture of Tableau?
Ans. 
Tableau follows a client-server architecture with a three-tier structure.
• Tableau Desktop is the client application used for creating and publishing content.

• Tableau Server is the central server that manages user authentication, data sources, and content distribution.

• Tableau Online is a cloud-based version of Tableau Server.

• Tableau's three-tier structure includes the data source, the VizQL server, and the application ser...read more
Answered by AI
Add your answer
Q2. What are different filters in tableau?
Ans. 
Different filters in Tableau include dimension filters, measure filters, top N filters, wildcard filters, and context filters.
• Dimension filters allow users to filter data based on categorical variables.

• Measure filters allow users to filter data based on numerical variables.

• Top N filters allow users to filter data based on the top or bottom N values.

• Wildcard filters allow users to filter data based on patterns or partia...read more
Answered by AI
View 1 more answer