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I applied via Naukri.com and was interviewed in Sep 2024. There were 2 interview rounds.
I have experience working with Agile methodology.
Utilized Agile methodology in previous projects
Participated in daily stand-up meetings
Worked in sprints to deliver incremental value
nodup vs nodupkey: nodup removes duplicates based on all variables, nodupkey removes duplicates based on key variables. if vs where: if is used for conditional processing, where is used for subsetting data.
nodup removes duplicates based on all variables, while nodupkey removes duplicates based on key variables
if is used for conditional processing within a data step or procedure, while where is used for subsetting data ...
if is used for conditional statements, where is used for filtering data in SQL queries.
if is used in programming languages for conditional statements, where is used in SQL queries for filtering data
if can be used to execute a block of code based on a condition, where is used to filter rows based on a condition in SQL
if can be used in various programming languages like Java, Python, etc., where is specific to SQL querie
I applied via LinkedIn and was interviewed before Oct 2023. There were 2 interview rounds.
Related to data science, basic python skills
Understanding the depth of machine learning algorithms and their applications
Explain the different types of machine learning algorithms such as supervised, unsupervised, and reinforcement learning
Discuss the importance of hyperparameters tuning in optimizing the performance of ML algorithms
Provide examples of popular ML algorithms like Random Forest, Support Vector Machines, and Neural Networks
I applied via Referral and was interviewed before Mar 2022. There were 2 interview rounds.
Infosys interview questions for designations
A pass through query is a SQL statement that is sent directly to a remote database server for processing.
It is used to execute SQL statements on a remote database server.
It is composed of a SQL statement and a connection string.
It is useful for querying large datasets that are stored on a remote server.
It can improve performance by reducing network traffic.
Example: SELECT * FROM [ODBC;Driver={SQL Server};Server=myServe...
Merging data sets involves identifying common variables and combining them into a single dataset.
Identify common variables between the datasets
Ensure data types are consistent across datasets
Use a join operation to combine the datasets
Handle missing or duplicate data appropriately
Perform data cleaning and preprocessing before merging
Example: Merging customer data from two different sources based on customer ID
Without a run statement, the program will not execute any code.
The program will not run any code written in the main function.
If there are any functions called within the main function, they will not be executed.
The program will terminate without any output or error message.
The absence of a run statement may indicate an incomplete or faulty program.
SAS has equivalent functions to SQL joins such as merge, join, and concatenate.
SAS merge function combines two or more datasets based on common variables.
SAS join function combines two or more datasets based on common variables and can specify the type of join (inner, outer, left, right).
SAS concatenate function stacks datasets on top of each other.
Examples: merge dataset1 with dataset2 on variable ID; join dataset1 wi...
Get interview-ready with Top Infosys Interview Questions
I applied via Naukri.com and was interviewed in Aug 2021. There were 3 interview rounds.
A proxy is an intermediary server that acts as a gateway between a client and the internet.
A proxy can be used to hide the IP address of the client and provide anonymity.
Proxies can be used to bypass internet censorship and access blocked websites.
Reverse proxies are used to protect servers from direct internet access and distribute traffic.
Examples of popular proxy servers include Squid, Nginx, and Apache.
Proxies can ...
HCM extracts can be obtained through various modes such as BI Publisher, HCM Extracts, and HDL.
BI Publisher is used for creating custom reports
HCM Extracts are used for extracting data from HCM modules
HDL is used for bulk data loading and extraction
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Autocorrelation is the correlation of a signal with a delayed copy of itself.
Autocorrelation is used to identify patterns in time series data.
It is a measure of how similar a signal is to a delayed version of itself.
Autocorrelation can be positive, negative, or zero.
It is commonly used in signal processing, finance, and econometrics.
Autocorrelation can be visualized using a correlogram.
Heteroscedasticity is a statistical term that refers to the unequal variance of a variable across different levels of another variable.
It is a violation of the assumption of homoscedasticity in regression analysis.
It can lead to biased and inefficient estimates of regression coefficients.
It can be detected through residual plots or statistical tests such as the Breusch-Pagan test.
Examples include income and expenditure...
Data analysis is affected by various factors that can influence the accuracy and reliability of the results.
Data quality: The accuracy, completeness, and consistency of the data can impact the analysis.
Data sources: The reliability and relevance of the data sources used for analysis can affect the outcomes.
Data preprocessing: The way data is cleaned, transformed, and prepared for analysis can impact the results.
Data in...
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