LTIMindtree AWS Data Engineer Interview Questions and Answers

AWS offers the most comprehensive and flexible cloud platform with unmatched scalability, security, and reliability.

• AWS has the largest and most mature cloud ecosystem with a wide range of services and tools

• AWS provides unmatched scalability and flexibility to meet the needs of any organization

• AWS has a strong focus on security and compliance, with a wide range of certifications and compliance programs

• AWS offers high a...read more

AWS Glue is a fully managed ETL service that makes it easy to move data between data stores.

• AWS Glue crawls your data sources and constructs a data catalog using metadata.

• It then generates ETL code to transform and move data between data stores.

• AWS Glue supports various data sources like Amazon S3, JDBC, Amazon RDS, etc.

• It also provides a serverless environment to run your ETL jobs.

• AWS Glue integrates with other AWS se

AWS Kinesis is a managed service that enables real-time processing of streaming data at scale.

• Kinesis can handle large amounts of data in real-time from various sources such as IoT devices, social media, and logs.

• It allows data to be processed in real-time using AWS Lambda, Kinesis Analytics, or Kinesis Data Firehose.

• Kinesis can be used for various use cases such as real-time analytics, machine learning, and fraud dete...read more

Different types of joins available in Databricks include inner join, outer join, left join, right join, and cross join.

• Inner join: Returns only the rows that have matching values in both tables.

• Outer join: Returns all rows when there is a match in either table.

• Left join: Returns all rows from the left table and the matched rows from the right table.

• Right join: Returns all rows from the right table and the matched rows ...read more

Implementing fault tolerance in a data pipeline involves redundancy, monitoring, and error handling.

• Use redundant components to ensure continuous data flow

• Implement monitoring tools to detect failures and bottlenecks

• Set up automated alerts for immediate response to issues

• Design error handling mechanisms to gracefully handle failures

• Use checkpoints and retries to ensure data integrity

AutoLoader is a feature in data engineering that automatically loads data from various sources into a data warehouse or database.

• Automates the process of loading data from different sources

• Reduces manual effort and human error

• Can be scheduled to run at specific intervals

• Examples: Apache Nifi, AWS Glue

To connect to different services in Azure, you can use Azure SDKs, REST APIs, Azure Portal, Azure CLI, and Azure PowerShell.

• Use Azure SDKs for programming languages like Python, Java, C#, etc.

• Utilize REST APIs to interact with Azure services programmatically.

• Access and manage services through the Azure Portal.

• Leverage Azure CLI for command-line interface interactions.

• Automate tasks using Azure PowerShell scripts.

Linked Services are connections to external data sources or destinations in Azure Data Factory.

• Linked Services define the connection information needed to connect to external data sources or destinations.

• They can be used in Data Factory pipelines to read from or write to external systems.

• Examples of Linked Services include Azure Blob Storage, Azure SQL Database, and Amazon S3.