MSG Global Solutions Senior Consultant Interview Questions and Answers

Q1. Tell me about yourself
Ans. 
Experienced Lead Consultant with a background in project management and client relations.
• Over 5 years of experience in consulting roles

• Strong project management skills, able to lead teams to successful outcomes

• Excellent communication and relationship-building abilities

• Proven track record of delivering results for clients

• Certified in relevant consulting methodologies
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Q2. Brief me about your experience
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I have over 10 years of experience in consulting, specializing in project management and client relations.
• 10+ years of consulting experience

• Specialize in project management

• Strong client relations skills
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Q1. Share past challenges
Ans. 
Overcoming challenges in previous roles through problem-solving and perseverance.
• Successfully managed a project with a tight deadline by prioritizing tasks and delegating responsibilities

• Resolved conflicts within a team by facilitating open communication and finding common ground

• Adapted to a new software system by seeking out training resources and practicing regularly
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Q1. Explain the gaps in your CV
Ans. 
Career breaks for personal development and family commitments
• Took a year off to travel and gain new perspectives

• Took a break to care for a sick family member

• Attended a professional development program to enhance skills
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Q1. Why should we hire you
Ans. 
I have a proven track record of successfully leading teams and delivering results in complex consulting projects.
• Extensive experience in consulting industry

• Strong leadership skills demonstrated through successful project delivery

• Ability to effectively communicate and collaborate with clients and team members
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Q1. Why equifax to join
Ans. 
I want to join Equifax because of their reputation for innovation and commitment to data security.
• Equifax is a leader in the industry, known for their cutting-edge technology solutions.

• I am impressed by Equifax's strong focus on data security and compliance.

• I believe that working at Equifax will provide me with opportunities for professional growth and development.

• I am excited about the chance to contribute to a compan...read more
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Q2. Do you know about ur projects from ur resume
Ans. 
Yes, I am familiar with the projects listed on my resume.
• I have worked on various projects related to software development and implementation.

• I can provide details on the technologies used, challenges faced, and outcomes achieved.

• For example, I led a team in developing a CRM system for a client, which resulted in a 20% increase in customer satisfaction.
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3 months training on sas tools

Actual case study using sas tools

Q1. What languages do you know? Asked about the project I did and various clarification questions on that.
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Q2. What are various assumption you made while implementing this project.
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Q1. Introduce yourself and explain your carrier
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Q2. B. Tech with 11 years of experience on Linux Administration/Devops/Ansible/Puppet/Cloud administration/ AWS/Openstack
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Q1. Interview based on your programming language , how good you know like java or python or scala
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Q2. Big data & Data science interview question like working of spark , Hive optimization of queries , what is graphx
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Q3. Explain your recent project in detail
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Q1. More deep dive in your expertise technologies like Spark DAG working explain
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Q2. How you do data validation in hive
Ans. 
Data validation in Hive involves using built-in functions and custom scripts to ensure data accuracy and consistency.
• Use built-in functions like IS NULL, IS NOT NULL, and COALESCE to check for missing or null values

• Use regular expressions and pattern matching to validate data formats

• Write custom scripts to perform more complex data validation tasks

• Perform data profiling to identify potential data quality issues

• Use data...read more
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Q1. Salary , why changing job etc..
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Q2. Your complete background of career
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Q1. Spring Springboot Microservices Java 8
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On python and sql coding.they ask simple to complex questions

Q1. On data science machine learning
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