YouGov Surveyor Interview Questions and Answers

Q1. Basic question on past experience and estimation questions
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Maths, Blood relations

Q1. Depends on your resume. For Entry level, it will be basic finance
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Q1. What are ur weakness
Ans. 
One of my weaknesses is that I can be overly critical of my own work.
• I tend to be a perfectionist and can spend too much time on a task trying to make it perfect.

• I sometimes struggle with delegating tasks to others because I want to ensure they are done correctly.

• I am working on improving my time management skills to prioritize tasks more effectively.
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Q2. What are ur strength
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My strengths include problem-solving skills, attention to detail, and strong technical knowledge.
• Strong problem-solving skills - able to analyze complex issues and come up with effective solutions

• Attention to detail - meticulous in my work to ensure accuracy and quality

• Strong technical knowledge - well-versed in engineering principles and tools

• Good communication skills - able to effectively communicate ideas and collab
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Q1. How to you manage stakeholders?
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I manage stakeholders by building relationships, communicating effectively, and addressing their needs and concerns.
• Establish clear communication channels with stakeholders

• Regularly update stakeholders on project progress and any changes

• Listen to stakeholders' feedback and address their concerns promptly

• Identify key stakeholders and prioritize their needs

• Build strong relationships with stakeholders to gain their trust
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Q1. What is hadoop architecture
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Hadoop architecture is a framework for distributed storage and processing of large data sets across clusters of computers.
• Hadoop consists of HDFS for storage and MapReduce for processing.

• It follows a master-slave architecture with a single NameNode and multiple DataNodes.

• Data is stored in blocks across multiple DataNodes for fault tolerance and scalability.

• MapReduce processes data in parallel across the cluster for fas...read more
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Q2. What is spark architecture
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Spark architecture refers to the structure and components of Apache Spark, a distributed computing framework.
• Spark architecture includes components like Driver, Executors, and Cluster Manager.

• Driver is responsible for converting user code into tasks and scheduling them on Executors.

• Executors are responsible for executing tasks and storing data in memory or disk.

• Cluster Manager is responsible for managing resources acro...read more
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