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Concentrix Catalyst
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I applied via Naukri.com and was interviewed in Apr 2024. There were 3 interview rounds.
Spark performance tuning methods involve optimizing resource allocation, data partitioning, and caching.
Optimize resource allocation by adjusting memory and CPU settings in Spark configurations.
Partition data effectively to distribute work evenly across nodes.
Utilize caching to store intermediate results in memory for faster access.
Use broadcast variables for small lookup tables to reduce shuffle operations.
Monitor and...
Use Pyspark to remove regex characters from column values
Use the regexp_replace function in Pyspark to remove regex characters from column values
Specify the regex pattern to match and the replacement string
Apply the regexp_replace function to the desired column in the DataFrame
I have experience working as a Data Engineer at XYZ Company for 2 years.
Developed ETL pipelines to extract, transform, and load data from various sources
Optimized database performance and implemented data quality checks
Collaborated with cross-functional teams to design and implement data solutions
I applied via Job Portal and was interviewed in Jan 2024. There was 1 interview round.
To troubleshoot a mobile application crash, I would start by checking the crash logs, analyzing the code, testing on different devices, and updating the app.
Check the crash logs to identify the error or exception that caused the crash
Analyze the code related to the crash to find any bugs or issues
Test the application on different devices to see if the crash is device-specific
Update the app to the latest version or appl...
Concentrix Catalyst interview questions for popular designations
I applied via Naukri.com and was interviewed in Jan 2024. There were 2 interview rounds.
It was good and easy round
Get interview-ready with Top Concentrix Catalyst Interview Questions
I applied via Naukri.com and was interviewed in Nov 2022. There were 3 interview rounds.
TF-IDF is a statistical measure used to evaluate the importance of a word in a document.
TF-IDF stands for Term Frequency-Inverse Document Frequency
It is used to weigh a word's importance in a document by considering its frequency in the document and across all documents
The formula for TF-IDF is: TF-IDF = TF * IDF
TF (Term Frequency) measures how frequently a term appears in a document
IDF (Inverse Document Frequency) mea...
Group by is used to group data based on a column while window function is used to perform calculations on a specific window of data.
Group by is used to aggregate data based on a specific column
Window function is used to perform calculations on a specific window of data
Group by is used with aggregate functions like sum, count, avg, etc.
Window function is used with analytical functions like rank, lead, lag, etc.
Group by ...
Developed a predictive model to forecast customer churn for a telecom company.
Used machine learning algorithms like logistic regression and random forest.
Preprocessed and cleaned the dataset by handling missing values and outliers.
Performed feature engineering to create new variables for better model performance.
Evaluated model performance using metrics like accuracy, precision, and recall.
Implemented the model in prod
Seeking new challenges and opportunities for growth.
Looking for a more challenging role that aligns with my career goals.
Seeking a company that values innovation and encourages professional development.
Want to work in a more collaborative and diverse team environment.
Desire to explore new technologies and industries.
Current company lacks opportunities for advancement or career growth.
Multiple Salesforce scenario based questions
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Bangalore / Bengaluru
5-10 Yrs
Not Disclosed
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