Hi Friends Today i am going to Post Some Real-time Tableau Interview questions for you .
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Tableau Interview questions
As All of you Know Tableau Tops the Gartner Magic chart and is Top from last two years . Tableau Software is a Very easy to Learn BI Reporting Tool . Now a days lot of Companies are using Tableau as its license Cost is very less and its supports lost of different databases.Tableau On-line Software is very easy to be used the Functional People too , they can easily manipulate the dashboards created in Tableau On line and use it .
Tableau Online software has many version latest one is Tableau 9 .
Now a Days there are lots of Opening for Tableau developer and Admin from beginner to experienced levels . If you have good knowledge of SQL Then in a time span of 1 month you can easily learn tableau . For learning tableau you can visit here
Tableau Interview questions
·
Give us a brief
overview of your CV. Touch through your educational qualifications, role and
reponsibilities in your previous organization, your achievements, why you are
looking for a change and why you want to join our company?
·
Give us an overview of
one of the recent projects you have worked on. Tell us the business problem,
the technique you used, what were the challenges, the insights &
recommendations and how did it benefited the client?
·
Have you ever handled
a difficult client? If yes, tell us more about the experience.
·
Prepare a few
analytical puzzles. Solve those puzzle books by Shakuntala devi and George
summers. Few common puzzles were on cubes, coins, minimum steps for weighing
the defective coin among say 81 coins, the rope and matchstick puzzle, puzzles
based on time, speed and distance concepts,and the very popular- 3/4 prisoners
and the color of the cap puzzle,etc. Just google a few of these puzzles and
understand the logic behind it. Mainly start ups and reputed firms viz. Amazon,
Flipkart,etc stress more on puzzles to gauge your lateral thinking. By the way
anyone, who has ever prepared for MBA entrance exams like CAT, XAT, GMAT,etc
will find this easy.
·
What are the tools you
have worked on? How would you rate yourself in SAS in a scale of 1 to 10?
·
How would you import a
dataset in SAS without using the import wizard? (Ans. the infile command)
·
While importing data
how would you make SAS be aware of the missing values? (Hint: read up on
'Missover' & also what`s 'Truncover'?)
·
Tell me the whole
syntax of the infile command?
·
While importing the
dataset, how will you specify whether the file is tab delimited or csv (comma
separated value)? Of course, you are not using the import wizard.
·
What is the difference
between format and informat?
·
What is the role of
the input statement in the infile command?
·
Difference between
Data step and Procs?
·
What are the various
Procs you have used in your career?
·
What does Cards and
Datalines statement do?
·
How would you make SAS
read a character, numeric and date variable while importing a dataset?
·
What are the 3 windows
that you see in a SAS environment? What`s the function of each one of them?
·
How will you convert a
character variable to numeric? Name the function. (Hint: Read up on put and
input functions)
·
What does 'intnx'
function do?
·
Tell me more about
substr and intck functions.
·
Tell me what all SAS
functions you have worked on.
·
What is an
outlier?
·
How do you identify an
outlier?
·
What are the standard
practices in the industry to treat an outlier?
·
What is Proc
univariate?
·
What is the difference
between Proc summary and Proc means?
·
Have you ever worked
on Proc Report? Tell me the syntax and applications of it?
·
What is Proc rank?
·
Difference between
merge and append?
·
What is the
prerequisite for a data set merge?
·
Tell me two different
ways by which you can merge two or more datasets in SAS?
·
Tell me at least 3
ways by which you can append two or more datasets in SAS?
·
What is proc sql?
·
What is a passthrough
query?
·
Difference between
left join, right join and inner join? Explain with suitable examples.
·
You have a dataset
comprising two columns i.e. customer name and age. I want to arrange this
dataset in ascending order of age and don`t want any duplicate entry for a
particular customer. How will I do it in one step? (Hint: Read up on proc sort)
·
What happens if I do a
dataset merge without sorting the dataset first? Does it throws an error or
gives a warning? (Very important Question)
·
How would I do a left
or right join using data set merge? Give the full syntax.
·
List down a few
differences between data set merge and proc sql join.
·
Which one is faster--
data set merge or proc sql join?
·
How would you append
using proc sql? (Hint: UNION query)
·
How would you append
using proc dataset?
·
What is proc append?
·
What is proc merge?
(Tricky one :P)
·
Is many to many merge
possible using Data set merge in SAS?
·
Have you worked on SAS
macros? Give me an example and tell me the whole syntax?
·
How comfortable are
you in VBA?
·
Can we connect the SAS
environment using VBA? Can you tell me the code for the same? At least a basic
idea will suffice.
·
What are pivot tables?
·
What is the limit on
number of rows in MS excel 2010?
·
I have my data in a
CSV file and want to create pivots tables on this dataset in a separate excel
file without opening the master data file (i.e. the CSV). Is this possible? If
yes, how?
·
What is PDV in SAS?
·
What is the
application of the Retain statement in SAS?
·
Explain the LAG
function in SAS.
·
When do you use linear
regression?
·
Difference between
linear and logistic regression?
·
Explain me step by
step approach for linear regression that you took in a particular project?
·
What is R-square?
·
What is VIF?
·
Formula for VIF?
·
Is the R square in VIF
same as the R-Square of the linear regression?
·
What do you mean by
the term Regression?
·
What is the method
used in the backend to solve linear regression ? (Ans. LSE)
·
What is the method
used in the backend to solve logistic regression ? (Ans. Maximum likelihood)
·
What is the difference
between correlation and covariance?
·
What is adjusted R
square?
·
What are the different
hypothesis testing techniques you have used?
·
What is a t-test?
·
What is ANOVA?
·
What is the difference
between Type 1 and Type 2 errors?
·
What are alpha and
beta errors?
·
What is p-value? why
should we accept variables whose p-value is less than 0.05?
·
Is R square a measure
of accuracy in linear regression? Why or why not?
·
Is R square a measure
of accuracy in logistic regression? Why or why not?
·
Why should we
eliminate correlation among independent variables while model building?
·
Can the
dependent variable be categorical in a linear regression? Why not?
·
How to you interpret
beta estimates in the case of a linear regression?
·
How to you interpret
beta estimates in the case of a logistic regression? What does exp(beta)
signifies?
·
Can the dependent
variables be continuous in a logistic regression? why not?
·
What is odds ratio?
·
What are the various
output parameters based on which you understand the accuracy of the logistic
model?
·
What is the
c-statistics in a logistic regression output? How is it calculated?
·
What is ROC?
·
What are Gains chart
and lift chart?
·
What is percent
concordance and percent discordance in a logistic regression output?
·
What are decision
trees?
·
What is CHAID?
·
Difference between
logistic regression and CHAID? And their applications?
·
Can the independent
variables be categorical in a logistic regression? What is params ref coding?
·
While logistic
regression we sometimes face issues like complete separation or quasi complete
separation of datapoints, how do you tackle these issues?
·
What is cluster
analysis?
·
Difference between
k-means and hierarchial clustering?
·
What is a dendrogram?
·
What is two step
clustering?
·
Syntax of Proc
cluster?
·
What is factor
analysis?
·
What is principal
component analysis? When do we use this?
·
What is the
significance of the Scree plot in a principal component analysis?
·
What is Eigen value?
·
What is market basket
analysis? What is the apriori algorithm? Explain confidence, support and lift.
(These questions are asked mainly to the experienced ones esp. to the ones who
have worked in Retail, Insurance or telecom domains)
·
Have you ever worked
on data visualization tools like Tableau, Qlikview,etc.
·
Have you worked on
monte carlo simulation?
·
What is market mix
modelling?
·
What is time series
forecasting?
·
What is exponential
smoothening?
·
What is ARIMA?
·
What is LP
optimization?
·
Difference between LP
and NLP optimization?
·
Have you ever worked
on excel solver?
·
What is the technique
used by excel solver for solving LP optimization problems? (Ans: dual simplex)
·
In an IT company there
is a seat cost for each resources on bench. You are in the senior management
and want to minimize cost by optimizing the no. of resources on bench. Frame an
optimization problem. What is the objective function, decision variables and
the constraints?
·
What is credit risk?
·
What are the
parameters that you will consider to detect fraudulent credit card
transactions?
·
What is churn w.r.t
the telecom sector? Explain the model building process and also tell me what
are the different variables you think should be significant in the model?
·
In the context of
social media analytics, what is sentiment analysis? Explain with suitable
examples.