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Cognizant
Proud winner of ABECA 2024 - AmbitionBox Employee Choice Awards
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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...
I was interviewed in Dec 2024.
I applied via Naukri.com
What people are saying about Cognizant
I applied via Referral and was interviewed in May 2024. There was 1 interview round.
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
I applied via Recruitment Consulltant and was interviewed in Aug 2024. There were 3 interview rounds.
The output after inner join of table 1 and table 2 will be 2,3,5.
Inner join only includes rows that have matching values in both tables.
Values 2, 3, and 5 are present in both tables, so they will be included in the output.
Null values are not considered as matching values in inner join.
The project involves building a data pipeline to ingest, process, and analyze large volumes of data from various sources in Azure.
Utilizing Azure Data Factory for data ingestion and orchestration
Implementing Azure Databricks for data processing and transformation
Storing processed data in Azure Data Lake Storage
Using Azure Synapse Analytics for data warehousing and analytics
Leveraging Azure DevOps for CI/CD pipeline aut
Designing an effective ADF pipeline involves considering various metrics and factors.
Understand the data sources and destinations
Identify the dependencies between activities
Optimize data movement and processing for performance
Monitor and track pipeline execution for troubleshooting
Consider security and compliance requirements
Use parameterization and dynamic content for flexibility
Implement error handling and retries fo
I applied via Company Website and was interviewed in Dec 2024. There was 1 interview round.
I applied via Naukri.com and was interviewed in Mar 2024. There was 1 interview round.
Azure Data Factory is a cloud-based data integration service that allows you to create, schedule, and manage data pipelines.
Azure Data Factory is used to move and transform data from various sources to destinations.
It supports data integration and orchestration of workflows.
You can monitor and manage data pipelines using Azure Data Factory.
It provides a visual interface for designing and monitoring data pipelines.
Azure...
Azure Data Lake is a scalable data storage and analytics service provided by Microsoft Azure.
Azure Data Lake Store is a secure data repository that allows you to store and analyze petabytes of data.
Azure Data Lake Analytics is a distributed analytics service that can process big data using Apache Hadoop and Apache Spark.
It is designed for big data processing and analytics tasks, providing high performance and scalabili
An index in a table is a data structure that improves the speed of data retrieval operations on a database table.
Indexes are used to quickly locate data without having to search every row in a table.
They can be created on one or more columns in a table.
Examples of indexes include primary keys, unique constraints, and non-unique indexes.
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