Fractal Analytics Interview Questions, Process, and Tips

Q1. PySpark and SQL questions
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Q2. Azure datafactory related questions
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Q1. Spark internals
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Q2. Scenario based
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Q1. Soft skills
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Q2. Scenario based and general discussion
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Q1. Main pillars of Project management
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Main pillars of Project management include scope, time, cost, quality, communication, risk, and procurement.
• Scope management involves defining and controlling what is included in the project.

• Time management focuses on creating and maintaining a project schedule.

• Cost management involves budgeting and controlling project costs.

• Quality management ensures that the project meets the required standards.

• Communication manageme...read more
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Q2. Project Management Scenario based questions you can clear if you have hands-on experience
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Q1. Project Management+Technical discussion
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Q1. Informal HR discussion salary expectations,asked to submit documents for verification
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Q1. Project Management experience and challenges faced for a project
Ans. 
I have 5 years of project management experience, including leading a team to successfully complete a software development project.
• Managed cross-functional teams to ensure project milestones were met

• Identified and resolved conflicts within the team to maintain productivity

• Implemented Agile methodologies to improve project efficiency

• Communicated project updates to stakeholders regularly

• Managed project budget and resource
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Q2. More technical describe ado.net,boxing unboxing
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Q1. What kind of data modelling you worked with GenAI project?
Ans. 
I have experience working with data modelling in the GenAI project to optimize algorithms and improve performance.
• Utilized various data modelling techniques to analyze and interpret data

• Developed predictive models to enhance decision-making processes

• Collaborated with data scientists to refine and validate models

• Implemented machine learning algorithms to improve accuracy and efficiency
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Q2. What was the challenge in end-to-end product delivery and implementation of solution roadmap?
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The challenge in end-to-end product delivery and implementation of solution roadmap involved coordinating multiple teams, managing dependencies, and ensuring alignment with business goals.
• Coordinating cross-functional teams to ensure timely delivery of each component of the product

• Managing dependencies between different teams and components to avoid delays

• Ensuring alignment of the solution roadmap with the overall busi...read more
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Q1. Why Informatica cloud is better than Azure Cloud solution?
Ans. 
Informatica Cloud offers more comprehensive data integration capabilities compared to Azure Cloud.
• Informatica Cloud provides a wide range of data integration tools and services for various data sources and formats.

• Informatica Cloud offers advanced data quality and data governance features that are not available in Azure Cloud.

• Informatica Cloud has a strong focus on data security and compliance, with built-in encryption...read more
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Q2. Why do you prefer Azure cloud solution as recommendations for Data Engineering pipelines? Explain data pipelines scenario you managed in the project?
Ans. 
I prefer Azure cloud solution for Data Engineering pipelines due to its scalability, reliability, and integration with other Microsoft services.
• Azure provides a wide range of tools and services specifically designed for data engineering tasks, such as Azure Data Factory, Azure Databricks, and Azure HDInsight.

• Azure offers seamless integration with other Microsoft services like Power BI, SQL Server, and Azure Machine Lea...read more
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Q1. How do you manage client obligations?
Ans. 
I manage client obligations by setting clear expectations, communicating regularly, and prioritizing tasks based on deadlines and importance.
• Set clear expectations with clients regarding deliverables and timelines

• Communicate regularly to provide updates on progress and address any concerns

• Prioritize tasks based on deadlines and importance to ensure all client obligations are met

• Proactively identify potential issues and...read more
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Q2. How do you manange conflicts in the project?
Ans. 
I manage conflicts in the project by promoting open communication, addressing issues promptly, seeking compromise, and involving stakeholders in resolution.
• Promote open communication among team members to address conflicts early on

• Address issues promptly and directly to prevent escalation

• Seek compromise and find win-win solutions to resolve conflicts

• Involve stakeholders in conflict resolution to ensure all perspectives
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There are 10 multiple-choice questions (MCQs) on Python, 20 MCQs on machine learning (ML), and 10 questions on deep learning (DL).

Q1. The technical round was divided in three phases - phase -1 : intro and professional projects They asked about the projects I have contributed in my full-time tenure. Then, asked me to pick any one of them...read more
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Q1. Explain about your projects
Ans. 
I have worked on projects involving natural language processing, computer vision, and recommendation systems.
• Developed a sentiment analysis model using NLP techniques

• Implemented a facial recognition system using CNNs

• Built a movie recommendation engine based on collaborative filtering
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Q2. Basic Kubernetes quetions
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Q1. Python questions
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Q2. Situational Questions
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Q1. Expected salary?
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