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Fractal Analytics Interview Questions and Answers
57 Interview questions
Power BI offers diverse graph types for data visualization, enhancing insights and decision-making.
Bar Charts: Useful for comparing quantities across categories, e.g., sales by region.
Line Charts: Ideal for showing trends over time, such as monthly revenue growth.
Pie Charts: Effective for displaying percentage shares, like market share distribution.
Scatter Plots: Great for identifying relationships between two var...
An end-to-end project involves all phases from initiation to closure, ensuring comprehensive management and delivery.
Initiation: Define project goals and scope, e.g., a new software development project.
Planning: Create a detailed project plan, including timelines and resources.
Execution: Implement the project plan, e.g., developing software features.
Monitoring: Track progress and performance against the plan, usin...
Update statement to swap gender values in Employee table from female to male and vice versa.
Use SQL UPDATE statement to modify records in the Employee table.
Utilize a CASE statement to conditionally change gender values.
Example: UPDATE Employee SET gender = CASE WHEN gender = 'female' THEN 'male' ELSE 'female' END;
Developed a data pipeline to ingest, process, and analyze customer behavior data for targeted marketing campaigns.
Designed and implemented ETL processes to extract data from various sources
Utilized Apache Spark for data processing and analysis
Built machine learning models to predict customer behavior
Collaborated with marketing team to optimize campaign strategies
Chatbots use natural language processing and machine learning to interact with users and provide automated responses.
Chatbots use natural language processing (NLP) to understand and interpret user input.
They use machine learning algorithms to learn from past interactions and improve responses.
Chatbots can be rule-based, where responses are pre-programmed, or AI-based, where they learn and adapt over time.
Examples ...
Snowflake is a cloud-based data warehousing platform known for its scalability, performance, and ease of use.
Snowflake uses a unique architecture called multi-cluster, which separates storage and compute resources for better scalability and performance.
It supports both structured and semi-structured data, allowing users to work with various data types.
Snowflake offers features like automatic scaling, data sharing,...
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...
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
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 encry...
K-fold CV is a technique used to evaluate the performance of a machine learning model by splitting the data into k subsets.
Data is divided into k subsets, with one subset used as the validation set and the rest as training sets.
The process is repeated k times, with each subset used once as the validation data.
The average of the k validation results is used as the final performance metric.
Helps in reducing bias and...
Fractal Analytics Interview Experiences
210 interviews found
Anonymous
I applied via Approached by Company and was interviewed in Nov 2024. There were 4 interview rounds.
(2 Questions)
- Q1. Main pillars of Project management
- Ans.
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...
- Q2. Project Management Scenario based questions you can clear if you have hands-on experience
(1 Question)
- Q1. Project Management+Technical discussion
(1 Question)
- Q1. Informal HR discussion salary expectations,asked to submit documents for verification
(2 Questions)
- 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...
- Q2. More technical describe ado.net,boxing unboxing
Interview Preparation Tips
They asked me reason to change.I told them there was lot of rework and no work life balance.However they justified the rework saying that it is part of any process and also seemed to have traditional mindset didnt bother much about work life balance.
Dont want to be a part of company with these kind of higher management.
Project Manager Interview Questions asked at other Companies
Selected
I appeared for an interview in Jan 2025.
Basic Pyspark/python question with some mcqs
(2 Questions)
- Q1. Project overview
- Q2. Pyspark, python , sql related questions.
(2 Questions)
- Q1. Basic technical question on spark and one python Dasa question and one sql
- Q2. Sql + python + spark + Adf + Databricks
(2 Questions)
- Q1. Why you want to join even though you have offers from good mnc
- Ans.
I am passionate about data engineering and believe this company offers unique opportunities for growth and learning.
Exciting projects and challenges at this company
Opportunities for growth and learning in data engineering
Alignment with company values and culture
Potential for career advancement and development
Interest in the industry or specific technologies used by the company
- Q2. Salary expectations and work culture
Data Engineer Interview Questions asked at other Companies
(2 Questions)
- 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
- Q2. What was the challenge in end-to-end product delivery and implementation of solution roadmap?
- Ans.
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...
(2 Questions)
- 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...
- 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...
(2 Questions)
- 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...
- 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...
Interview Preparation Tips
Technical Program Manager Interview Questions asked at other Companies
Bratati Datta Gupta
I applied via LinkedIn and was interviewed in Nov 2024. There were 2 interview rounds.
There are 10 multiple-choice questions (MCQs) on Python, 20 MCQs on machine learning (ML), and 10 questions on deep learning (DL).
(1 Question)
- 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...
Data Scientist Interview Questions asked at other Companies
Selected
I appeared for an interview in Jan 2025.
(2 Questions)
- Q1. PySpark and SQL questions
- Q2. Azure datafactory related questions
(2 Questions)
- Q1. Spark internals
- Q2. Scenario based
(2 Questions)
- Q1. Soft skills
- Q2. Scenario based and general discussion
Azure Data Engineer Interview Questions asked at other Companies
I applied via Campus Placement
Pretty simple aptitude test
(5 Questions)
- Q1. Explain your projects in detail from data preprocessing to deployment
- Ans.
I have worked on various projects involving data preprocessing, model building, and deployment.
I start by cleaning and preprocessing the raw data to remove missing values and outliers.
I then perform feature engineering to create new features and select the most relevant ones for model building.
Next, I train machine learning models using algorithms like Random Forest, XGBoost, and Neural Networks.
I evaluate the models u...
- Q2. Given a SQL Query to solve
- Q3. What is logistic regression and its formula?
- Q4. What are the underlying assumptions of logistic regression?
- Q5. Difference between linearity and logistic assumptions are?
Skills evaluated in this interview
I applied via Referral and was interviewed in Dec 2024. There were 2 interview rounds.
15 MCQ, 2 coding round
(2 Questions)
- Q1. What is PCA explain eigen values
- Ans.
PCA is a dimensionality reduction technique that uses eigenvalues to find the principal components of a dataset.
PCA is used to reduce the dimensionality of a dataset by transforming the data into a new coordinate system.
Eigenvalues represent the amount of variance captured by each principal component.
Higher eigenvalues indicate that the corresponding principal component explains more variance in the data.
Eigenvalues ar...
- Q2. How chatbot works really
- Ans.
Chatbots use natural language processing and machine learning to interact with users and provide automated responses.
Chatbots use natural language processing (NLP) to understand and interpret user input.
They use machine learning algorithms to learn from past interactions and improve responses.
Chatbots can be rule-based, where responses are pre-programmed, or AI-based, where they learn and adapt over time.
Examples inclu...
Data Scientist Interview Questions asked at other Companies
Selected
I applied via Approached by Company and was interviewed in Oct 2024. There were 3 interview rounds.
(2 Questions)
- 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
- Q2. Basic Kubernetes quetions
(2 Questions)
- Q1. Python questions
- Q2. Situational Questions
(1 Question)
- Q1. Expected salary?
Interview Preparation Tips
ml engineer Interview Questions asked at other Companies
(1 Question)
- Q1. Describe your current project snd your role.
- Ans.
Leading a team in developing a mobile app for tracking fitness goals.
Managing a team of developers and designers
Creating project timelines and milestones
Collaborating with stakeholders to gather requirements
Testing and quality assurance of the app
Implementing feedback and updates based on user testing
Ensuring project stays within budget and timeline
(1 Question)
- Q1. Describe your role
- Ans.
I oversee project planning, execution, and delivery to ensure successful completion.
Lead project teams in defining project scope, goals, and deliverables
Develop project plans and schedules, and track progress against milestones
Manage project budget and resources effectively
Communicate with stakeholders to ensure alignment and manage expectations
Identify and mitigate project risks and issues
Ensure quality standards are ...
(1 Question)
- Q1. Describe your childhood
- Ans.
I had a happy and adventurous childhood filled with outdoor activities and family vacations.
Grew up in a small town surrounded by nature
Enjoyed playing sports like soccer and basketball
Went on camping trips with my family every summer
Participated in school plays and talent shows
Had a close-knit group of friends from the neighborhood
Senior Project Manager Interview Questions asked at other Companies
Selected
I applied via Approached by Company and was interviewed in Jun 2024. There were 4 interview rounds.
(2 Questions)
- Q1. The HR representative will seek to understand your experience and its alignment with the role.
- Q2. Salary expectations, Offers in hand
(3 Questions)
- Q1. What are the key features and functionalities of Snowflake?
- Ans.
Snowflake is a cloud-based data warehousing platform known for its scalability, performance, and ease of use.
Snowflake uses a unique architecture called multi-cluster, which separates storage and compute resources for better scalability and performance.
It supports both structured and semi-structured data, allowing users to work with various data types.
Snowflake offers features like automatic scaling, data sharing, and ...
- Q2. The interviewer asked several complex SQL questions that utilized analytical functions.
- Q3. I was asked to write some syntax-level code for Jinja statements in dbt.
(2 Questions)
- Q1. The interviewer, who was part of the senior management, inquired about dbt, its features, and my experience with dbt thus far.
- Q2. The interviewer reviewed my resume and inquired about the challenges I encountered in my previous roles and the methods I used to resolve them.
(1 Question)
- Q1. Salary negotiations, Bonus discussions
Interview Preparation Tips
- dbt
- Snowflake
- AWS
- Python
- PySpark
- SQL
- Data Modelling
- Data Quality
- Airflow
Data Engineer Interview Questions asked at other Companies
Top trending discussions
Fractal Analytics Interview FAQs
Some of the top questions asked at the Fractal Analytics interview -
The duration of Fractal Analytics interview process can vary, but typically it takes about less than 2 weeks to complete.
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Fractal Analytics Interviews By Designations
- Fractal Analytics Consultant Interview Questions
- Fractal Analytics Data Engineer Interview Questions
- Fractal Analytics Data Scientist Interview Questions
- Fractal Analytics Software Engineer Interview Questions
- Fractal Analytics Decision Scientist Interview Questions
- Fractal Analytics Senior Consultant Interview Questions
- Fractal Analytics Business Analyst Interview Questions
- Fractal Analytics Summer Intern Interview Questions
- Show more
Interview Questions for Popular Designations
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based on 147 interview experiences
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Fractal Analytics Reviews and Ratings
based on 867 reviews
Rating in categories
|
Consultant
1.1k
salaries
|  ₹7 L/yr - ₹24.6 L/yr |
|
Data Engineer
866
salaries
| ₹7.6 L/yr - ₹26 L/yr |
|
Senior Consultant
692
salaries
| ₹11 L/yr - ₹40 L/yr |
|
Data Scientist
499
salaries
| ₹8.4 L/yr - ₹31 L/yr |
|
Engineer
244
salaries
| ₹7.5 L/yr - ₹25 L/yr |
Kiya.ai
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Innovatiview India Ltd
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