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Cognizant
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I was interviewed in Dec 2024.
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I applied via Referral and was interviewed in May 2024. There was 1 interview round.
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Cognizant interview questions for designations
Use Azure Data Factory to copy multiple tables from on-premises to Azure Blob Storage
Create a linked service to connect to the on-premises data source
Create datasets for each table to be copied
Create a pipeline with copy activities for each table
Use Azure Blob Storage as the sink for the copied tables
PolyBase is a technology in Azure that allows you to query data from external sources like Hadoop or SQL Server.
PolyBase enables you to run T-SQL queries on data stored in Hadoop or Azure Blob Storage.
It can also be used to query data from SQL Server, Oracle, Teradata, and other relational databases.
PolyBase uses external tables to define the schema and location of the external data sources.
It provides a seamless way t...
Serverless SQL pool is a feature in Azure Synapse Analytics that allows on-demand querying of data without the need for managing infrastructure.
Serverless SQL pool is a pay-as-you-go service for running ad-hoc queries on data stored in Azure Data Lake Storage or Azure Blob Storage.
It eliminates the need for provisioning and managing dedicated SQL pools, making it more cost-effective for sporadic or unpredictable worklo...
Yes, I can remove all the pcs from the lab and keep them in another lab right now.
Ensure all the necessary equipment and tools are available for the move
Coordinate with the lab staff to ensure a smooth transition
Label and document each PC for easy identification and setup in the new lab
Ensure proper packaging and handling to prevent any damage during the move
Fibonacci series is a sequence of numbers where each number is the sum of the two preceding ones.
The first two numbers of the series are always 0 and 1
The next number is the sum of the previous two numbers
The series goes on infinitely: 0, 1, 1, 2, 3, 5, 8, 13, 21, 34, 55, 89, 144, ...
Pseudo code: 1. Initialize variables a=0, b=1, c=0 2. Print a and b 3. Repeat steps 4-6 until desired number of terms 4. c=a+b 5. Pr
Algorithm for matrix multiplication
Create a result matrix with dimensions of the two input matrices
Iterate through each row and column of the result matrix
For each element in the result matrix, multiply corresponding row in first matrix with corresponding column in second matrix
Add the products obtained in the previous step to get the final value for the element
I worked on a project that involved sentiment analysis of customer reviews using Naive Bayes algorithm.
The project involved collecting customer reviews from various sources.
Preprocessing the data by removing stop words, stemming, and tokenizing.
Used Naive Bayes algorithm for sentiment analysis.
The algorithm was chosen because of its simplicity and effectiveness in text classification tasks.
The accuracy of the model was
based on 7 interviews
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based on 22 reviews
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