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I applied via Referral and was interviewed in Feb 2024. There was 1 interview round.
Types of transformations include filtering, sorting, aggregating, joining, and pivoting.
Filtering: Selecting a subset of rows based on certain criteria.
Sorting: Arranging rows in a specific order based on one or more columns.
Aggregating: Combining multiple rows into a single result, such as summing or averaging values.
Joining: Combining data from multiple sources based on a common key.
Pivoting: Restructuring data from
Spark is lazy execution to optimize performance by delaying computation until necessary.
Spark delays execution until an action is called to optimize performance.
This allows Spark to optimize the execution plan and minimize unnecessary computations.
Lazy evaluation helps in reducing unnecessary data shuffling and processing.
Example: Transformations like map, filter, and reduce are not executed until an action like collec
SCD stands for Slowly Changing Dimension. There are three types: Type 1, Type 2, and Type 3.
SCD is used in data warehousing to track changes in dimension data over time.
Type 1 SCD overwrites old data with new data, losing historical information.
Type 2 SCD creates new records for each change, preserving historical data.
Type 3 SCD keeps both old and new data in the same record, with separate columns for each version.
A linked service is a connection to an external data source or destination in Azure Data Factory.
Linked services define the connection information needed to connect to external data sources or destinations.
They can be used in pipelines to read from or write to the linked data source.
Examples of linked services include Azure Blob Storage, Azure SQL Database, and Salesforce.
Linked services can store connection strings, a...
A dataset is a collection of data that is organized in a structured format for easy access and analysis.
A dataset can consist of tables, files, or other types of data sources.
It is used for storing and managing data for analysis and reporting purposes.
Examples of datasets include customer information, sales data, and sensor readings.
Datasets can be structured, semi-structured, or unstructured depending on the type of d
I applied via Approached by Company and was interviewed in Nov 2024. There were 4 interview rounds.
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...
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
I was interviewed in Jan 2025.
Basic Pyspark/python question with some mcqs
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
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
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...
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...
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...
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...
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
Fractal Analytics interview questions for popular designations
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).
Get interview-ready with Top Fractal Analytics Interview Questions
I was interviewed in Jan 2025.
I applied via Campus Placement
Pretty simple aptitude test
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...
I applied via Referral and was interviewed in Dec 2024. There were 2 interview rounds.
15 MCQ, 2 coding round
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...
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...
I applied via Approached by Company and was interviewed in Oct 2024. There were 3 interview rounds.
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
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
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 ...
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
I applied via Approached by Company and was interviewed in Jun 2024. There were 4 interview rounds.
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 ...
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The duration of Fractal Analytics interview process can vary, but typically it takes about less than 2 weeks to complete.
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