Cognizant Designer Interview Questions and Answers

30min topic coding and decoding

Any essay topic description

Q1. Introduction your self ,hobbies, role model
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Q1. Runout of the shaft
Ans. 
Runout of the shaft refers to the amount of deviation or wobble in the rotation of a shaft.
• Runout is typically measured in terms of concentricity or eccentricity.

• Excessive runout can lead to vibration, noise, and premature wear of components.

• Runout can be caused by factors such as misalignment, bent shafts, or worn bearings.
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Q1. GD&T tolerance and its denifits
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GD&T tolerance is a system for defining and communicating engineering tolerances in design and manufacturing.
• GD&T stands for Geometric Dimensioning and Tolerancing

• It allows for more detailed and precise communication of design requirements

• Helps to reduce manufacturing costs by specifying tolerances more accurately

• Improves quality control by providing clear guidelines for inspection

• Examples: True Position, Profile, Conc
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Q1. They asked me regarding project
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Q2. Sql queries and data bricks related questions
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Q1. Details explaination on project that I have worked and optimization techniques
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Q1. Scenario based questions on Azure data factory and pipelines
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Q2. Optimisation technic to improve the performance of databricks
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Q3. What is Autoloader
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Q4. What is unity catalog
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Q5. How you do the alerting mechanism in adf for failed pipelines
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Q1. What are different type of joins available in Databricks?
Ans. 
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
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Q2. How do you make your data pipeline fault tolerant?
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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
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Q3. What is AutoLoader?
Ans. 
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
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Q1. How do you connect to different services in Azure?
Ans. 
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.
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Q2. What are linked Services?
Ans. 
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.
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Q1. Sql commands group by and order by
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Q1. Cicd pipeline and kafka
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Q1. Reparitition and pipelines
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Q1. Joins operations
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Q1. Explain adf questions in detail
Ans. 
ADF questions refer to Azure Data Factory questions which are related to data integration and data transformation processes.
• ADF questions are related to Azure Data Factory, a cloud-based data integration service.

• These questions may involve data pipelines, data flows, activities, triggers, and data movement.

• Candidates may be asked about their experience with designing, monitoring, and managing data pipelines in ADF.

• Exam...read more
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Q2. Project related questions
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Q1. Project data related questions
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Q2. Databricks and SQL interview questions
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