Deloitte Tableau Developer Interview Questions and Answers for Experienced

Q1. 1: what is measure and dimension? 2: live/extract filter? 3: join vs blending? 4: relationship? 5: practical use of quick table and compute using 6: LOD : Types and their application? 7: filter? 8: parame...read more
Ans. 
Tableau Developer interview questions covering measures, dimensions, filters, joins, LOD, parameters, and scheduling.
• Measures are quantitative data (e.g. sales, profit) while dimensions are categorical data (e.g. region, product category).

• Live filters apply to the data source directly, while extract filters apply after the data is extracted.

• Joins combine data from different tables based on a common field, while blendin...read more
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My projects I have worked on.

Every details about my projects machine learning algorithms I have worked on detailed discussion about the algorithms.

How to handle missing values?

How to handle outliers?

Best technique handle missing values?

Neural networks, architectures, Why and Which Neural Network you have used. Why not the other one.

Q1. What are outliers and how to handle this?
Ans. 
Outliers are data points that deviate significantly from the rest of the data. They can be handled by removing, transforming or imputing them.
• Outliers can be detected using statistical methods like Z-score, IQR, or visual methods like box plots.

• Removing outliers can lead to loss of information, so transforming or imputing them is preferred.

• Transforming outliers can be done by applying mathematical functions like log, s...read more
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Q2. What is CNN? How to use it?? No of layers you have used in your case? Ensemble techniques
Ans. 
CNN stands for Convolutional Neural Network, used for image classification and object recognition.
• CNN is a type of neural network that uses convolutional layers to extract features from images.

• It is commonly used for image classification and object recognition tasks.

• CNNs can have multiple layers, including convolutional, pooling, and fully connected layers.

• The number of layers used depends on the complexity of the task...read more
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