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Data Radian Technologies Data Analyst Trainee Interview Questions and Answers

Updated 5 Aug 2024

Data Radian Technologies Data Analyst Trainee Interview Experiences

2 interviews found

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via Naukri.com and was interviewed in Nov 2023. There were 6 interview rounds.

Round 1 - Resume Shortlist 
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Keep your resume crisp and to the point. A recruiter looks at your resume for an average of 6 seconds, make sure to leave the best impression.
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Round 2 - Coding Test 

I was given a link for a technical assessment

Round 3 - Assignment 

I was given a task which I needed to complete within 2-3 days

Round 4 - Technical 

(3 Questions)

  • Q1. Basics of sql ,joins ,Python
  • Q2. Write a code in Python ,difference between inner join and left join
  • Ans. 

    Inner join returns only the matching records from both tables, while left join returns all records from the left table and matching records from the right table.

    • Inner join combines rows from both tables based on a common column.

    • Left join returns all rows from the left table and matching rows from the right table.

    • Inner join is used to retrieve only the matching records, while left join is used to retrieve all records fr...

  • Answered by AI
  • Q3. Do you pandas ,numpy
Round 5 - Technical 

(1 Question)

  • Q1. Joins,there execution ,excel
Round 6 - Technical 

(1 Question)

  • Q1. Write a query in sql to fetch latest satat ordered by data
  • Ans. 

    Fetch the latest satat ordered by data using SQL query.

    • Use the SELECT statement to fetch data from the table.

    • Use the ORDER BY clause to sort the data by the 'data' column in descending order.

    • Use the LIMIT clause to retrieve only the latest satat.

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare Sql well,you gonna need it in every round ,excel and basics of Python as well

Skills evaluated in this interview

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
4-6 weeks
Result
Selected Selected

I applied via Naukri.com and was interviewed before Aug 2023. There were 5 interview rounds.

Round 1 - Coding Test 

I gave a test in which Aptitude, sql and data Science mcq question were asked

Round 2 - Assignment 

I was given a assignment regarding to the position which i applied

Round 3 - Technical 

(1 Question)

  • Q1. I was mainly asked about SQl, and the Assignment was discussed.
Round 4 - Technical 

(1 Question)

  • Q1. I was asked regarding joins, output of different joins
Round 5 - One-on-one 

(2 Questions)

  • Q1. I was asked general HR question, sql and future prospects
  • Q2. Where do you see in 5 years
  • Ans. 

    In 5 years, I see myself as a senior data analyst leading a team and working on complex projects.

    • Leading a team of data analysts

    • Working on complex data projects

    • Continuing to improve my skills and knowledge in data analysis

    • Possibly pursuing further education or certifications in data analytics

  • Answered by AI

Interview Preparation Tips

Topics to prepare for Data Radian Technologies Data Analyst Trainee interview:
  • SQL
  • Python

Interview questions from similar companies

Interview experience
3
Average
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Company Website and was interviewed in Nov 2024. There were 2 interview rounds.

Round 1 - Technical 

(2 Questions)

  • Q1. Sql constrainsts, star schema, dml dcl commands
  • Q2. About cureent project and responsibilities
Round 2 - Technical 

(2 Questions)

  • Q1. Current projects and resposibilities
  • Q2. Where vs having, reason for job change

Interview Preparation Tips

Interview preparation tips for other job seekers - 1. Technical - about you current project and responsibilities, basic SQL question-constraints, starschema, DML DCL command, one sql query write.
2. Technical with senior manager- about project ,where vs having , reason of job change
Interview experience
3
Average
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
No response

I applied via Naukri.com and was interviewed in Oct 2024. There were 2 interview rounds.

Round 1 - Technical 

(7 Questions)

  • Q1. How do you optimize SQL queries?
  • Ans. 

    Optimizing SQL queries involves using indexes, avoiding unnecessary joins, and optimizing the query structure.

    • Use indexes on columns frequently used in WHERE clauses

    • Avoid using SELECT * and only retrieve necessary columns

    • Optimize joins by using INNER JOIN instead of OUTER JOIN when possible

    • Use EXPLAIN to analyze query performance and make necessary adjustments

  • Answered by AI
  • Q2. How do you do performance optimization in Spark. Tell how you did it in you project.
  • Ans. 

    Performance optimization in Spark involves tuning configurations, optimizing code, and utilizing caching.

    • Tune Spark configurations such as executor memory, number of executors, and shuffle partitions.

    • Optimize code by reducing unnecessary shuffles, using efficient transformations, and avoiding unnecessary data movements.

    • Utilize caching to store intermediate results in memory and avoid recomputation.

    • Example: In my projec...

  • Answered by AI
  • Q3. What is SparkContext and SparkSession?
  • Ans. 

    SparkContext is the main entry point for Spark functionality, while SparkSession is the entry point for Spark SQL.

    • SparkContext is the entry point for low-level API functionality in Spark.

    • SparkSession is the entry point for Spark SQL functionality.

    • SparkContext is used to create RDDs (Resilient Distributed Datasets) in Spark.

    • SparkSession provides a unified entry point for reading data from various sources and performing

  • Answered by AI
  • Q4. When a spark job is submitted, what happens at backend. Explain the flow.
  • Ans. 

    When a spark job is submitted, various steps are executed at the backend to process the job.

    • The job is submitted to the Spark driver program.

    • The driver program communicates with the cluster manager to request resources.

    • The cluster manager allocates resources (CPU, memory) to the job.

    • The driver program creates DAG (Directed Acyclic Graph) of the job stages and tasks.

    • Tasks are then scheduled and executed on worker nodes ...

  • Answered by AI
  • Q5. Calculate second highest salary using SQL as well as pyspark.
  • Ans. 

    Calculate second highest salary using SQL and pyspark

    • Use SQL query with ORDER BY and LIMIT to get the second highest salary

    • In pyspark, use orderBy() and take() functions to achieve the same result

  • Answered by AI
  • Q6. 2 types of modes for Spark architecture ?
  • Ans. 

    The two types of modes for Spark architecture are standalone mode and cluster mode.

    • Standalone mode: Spark runs on a single machine with a single JVM and is suitable for development and testing.

    • Cluster mode: Spark runs on a cluster of machines managed by a cluster manager like YARN or Mesos for production workloads.

  • Answered by AI
  • Q7. If you want very less latency - which is better standalone or client mode?
  • Ans. 

    Client mode is better for very less latency due to direct communication with the cluster.

    • Client mode allows direct communication with the cluster, reducing latency.

    • Standalone mode requires an additional layer of communication, increasing latency.

    • Client mode is preferred for real-time applications where low latency is crucial.

  • Answered by AI
Round 2 - Technical 

(2 Questions)

  • Q1. Scenario based. Write SQL and pyspark code for a dataset.
  • Q2. If you have to find latest record based on latest timestamp in a table for a particular customer(table is having history) , how will you do it. Self join and nested query will be expensive. Optimized query...

Interview Preparation Tips

Topics to prepare for LTIMindtree Data Engineer interview:
  • SQL
  • pyspark
  • ETL
Interview preparation tips for other job seekers - L2 was scheduled next day to L1 so the process is fast. Brush up your practical knowledge more.

Skills evaluated in this interview

Interview experience
4
Good
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
No response

I applied via Naukri.com and was interviewed in Nov 2024. There was 1 interview round.

Round 1 - Technical 

(6 Questions)

  • Q1. Can you introduce yourself and describe your current project experience?
  • Ans. 

    I am a Senior Data Engineer with experience in building scalable data pipelines and optimizing data processing workflows.

    • Experience in designing and implementing ETL processes using tools like Apache Spark and Airflow

    • Proficient in working with large datasets and optimizing query performance

    • Strong background in data modeling and database design

    • Worked on projects involving real-time data processing and streaming analytic

  • Answered by AI
  • Q2. Decorators in python
  • Ans. 

    Decorators in Python are functions that modify the behavior of other functions or methods.

    • Decorators are defined using the @decorator_name syntax before a function definition.

    • They can be used to add functionality to existing functions without modifying their code.

    • Decorators can be used for logging, timing, authentication, and more.

    • Example: @staticmethod decorator in Python is used to define a static method in a class.

  • Answered by AI
  • Q3. What is the SQL query to group by employee ID in order to combine the first name and last name with a space?
  • Ans. 

    SQL query to group by employee ID and combine first name and last name with a space

    • Use the GROUP BY clause to group by employee ID

    • Use the CONCAT function to combine first name and last name with a space

    • Select employee ID, CONCAT(first_name, ' ', last_name) AS full_name

  • Answered by AI
  • Q4. What are constructors in Python?
  • Ans. 

    Constructors in Python are special methods used for initializing objects. They are called automatically when a new instance of a class is created.

    • Constructors are defined using the __init__() method in a class.

    • They are used to initialize instance variables of a class.

    • Example: class Person: def __init__(self, name, age): self.name = name self.age = age person1 = Person('Alice', 30)

  • Answered by AI
  • Q5. Indexing in sql
  • Ans. 

    Indexing in SQL is a technique used to improve the performance of queries by creating a data structure that allows for faster retrieval of data.

    • Indexes are created on columns in a database table to speed up the retrieval of rows that match a certain condition in a WHERE clause.

    • Indexes can be created using CREATE INDEX statement in SQL.

    • Types of indexes include clustered indexes, non-clustered indexes, unique indexes, an...

  • Answered by AI
  • Q6. Why spark works well with parquet files?
  • Ans. 

    Spark works well with Parquet files due to its columnar storage format, efficient compression, and ability to push down filters.

    • Parquet files are columnar storage format, which aligns well with Spark's processing model of working on columns rather than rows.

    • Parquet files support efficient compression, reducing storage space and improving read performance in Spark.

    • Spark can push down filters to Parquet files, allowing f...

  • Answered by AI

Skills evaluated in this interview

Data Engineer Interview Questions & Answers

Genpact user image Sashikanta Parida

posted on 17 Dec 2024

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Recruitment Consulltant and was interviewed in Nov 2024. There were 2 interview rounds.

Round 1 - Technical 

(3 Questions)

  • Q1. What are different type of joins available in Databricks?
  • Ans. 

    Different types of joins available in Databricks include inner join, outer join, left join, right join, and cross join.

    • Inner join: Returns only the rows that have matching values in both tables.

    • Outer join: Returns all rows when there is a match in either table.

    • Left join: Returns all rows from the left table and the matched rows from the right table.

    • Right join: Returns all rows from the right table and the matched rows ...

  • Answered by AI
  • Q2. How do you make your data pipeline fault tolerant?
  • Ans. 

    Implementing fault tolerance in a data pipeline involves redundancy, monitoring, and error handling.

    • Use redundant components to ensure continuous data flow

    • Implement monitoring tools to detect failures and bottlenecks

    • Set up automated alerts for immediate response to issues

    • Design error handling mechanisms to gracefully handle failures

    • Use checkpoints and retries to ensure data integrity

  • Answered by AI
  • Q3. What is AutoLoader?
  • Ans. 

    AutoLoader is a feature in data engineering that automatically loads data from various sources into a data warehouse or database.

    • Automates the process of loading data from different sources

    • Reduces manual effort and human error

    • Can be scheduled to run at specific intervals

    • Examples: Apache Nifi, AWS Glue

  • Answered by AI
Round 2 - Technical 

(2 Questions)

  • Q1. How do you connect to different services in Azure?
  • Ans. 

    To connect to different services in Azure, you can use Azure SDKs, REST APIs, Azure Portal, Azure CLI, and Azure PowerShell.

    • Use Azure SDKs for programming languages like Python, Java, C#, etc.

    • Utilize REST APIs to interact with Azure services programmatically.

    • Access and manage services through the Azure Portal.

    • Leverage Azure CLI for command-line interface interactions.

    • Automate tasks using Azure PowerShell scripts.

  • Answered by AI
  • Q2. What are linked Services?
  • Ans. 

    Linked Services are connections to external data sources or destinations in Azure Data Factory.

    • Linked Services define the connection information needed to connect to external data sources or destinations.

    • They can be used in Data Factory pipelines to read from or write to external systems.

    • Examples of Linked Services include Azure Blob Storage, Azure SQL Database, and Amazon S3.

  • Answered by AI
Interview experience
4
Good
Difficulty level
Easy
Process Duration
-
Result
-

I applied via Recruitment Consulltant and was interviewed in Nov 2024. There was 1 interview round.

Round 1 - Technical 

(7 Questions)

  • Q1. Difference between bigtable and bigquery.
  • Ans. 

    Bigtable is a NoSQL database for real-time analytics, while BigQuery is a fully managed data warehouse for running SQL queries.

    • Bigtable is a NoSQL database designed for real-time analytics and high throughput, while BigQuery is a fully managed data warehouse for running SQL queries.

    • Bigtable is used for storing large amounts of semi-structured data, while BigQuery is used for analyzing structured data using SQL queries.

    • ...

  • Answered by AI
  • Q2. How to remove duplicate rows from bigquery? find the month of a given date in bigquery.
  • Ans. 

    To remove duplicate rows from BigQuery, use the DISTINCT keyword. To find the month of a given date, use the EXTRACT function.

    • To remove duplicate rows, use SELECT DISTINCT * FROM table_name;

    • To find the month of a given date, use SELECT EXTRACT(MONTH FROM date_column) AS month_name FROM table_name;

    • Make sure to replace 'table_name' and 'date_column' with the appropriate values in your query.

  • Answered by AI
  • Q3. What operator is used in composer to move data from gcs to bq
  • Ans. 

    The operator used in Composer to move data from GCS to BigQuery is the GCS to BigQuery operator.

    • The GCS to BigQuery operator is used in Apache Airflow, which is the underlying technology of Composer.

    • This operator allows you to transfer data from Google Cloud Storage (GCS) to BigQuery.

    • You can specify the source and destination parameters in the operator to define the data transfer process.

  • Answered by AI
  • Q4. Write a code for this - input = [1,2,3,4] output = [1,4,9,16]
  • Ans. 

    Code to square each element in the input array.

    • Iterate through the input array and square each element.

    • Store the squared values in a new array to get the desired output.

  • Answered by AI
  • Q5. Dataflow vs dataproc.
  • Ans. 

    Dataflow is a fully managed stream and batch processing service, while Dataproc is a managed Apache Spark and Hadoop service.

    • Dataflow is a serverless data processing service that automatically scales to handle your data, while Dataproc is a managed Spark and Hadoop service that requires you to provision and manage clusters.

    • Dataflow is designed for both batch and stream processing, allowing you to process data in real-t...

  • Answered by AI
  • Q6. Architecture of bq. Query optimization techniques in bigquery.
  • Ans. 

    BigQuery architecture includes storage, execution, and optimization components for efficient query processing.

    • BigQuery stores data in Capacitor storage system for fast access.

    • Query execution is distributed across multiple nodes for parallel processing.

    • Query optimization techniques include partitioning tables, clustering tables, and using query cache.

    • Using partitioned tables can help eliminate scanning unnecessary data.

    • ...

  • Answered by AI
  • Q7. RDD vs dataframe vs dataset in pyspark
  • Ans. 

    RDD vs dataframe vs dataset in PySpark

    • RDD (Resilient Distributed Dataset) is the basic abstraction in PySpark, representing a distributed collection of objects

    • Dataframe is a distributed collection of data organized into named columns, similar to a table in a relational database

    • Dataset is a distributed collection of data with the ability to use custom classes for type safety and user-defined functions

    • Dataframes and Data...

  • Answered by AI
Interview experience
5
Excellent
Difficulty level
Hard
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Naukri.com and was interviewed in Nov 2024. There was 1 interview round.

Round 1 - One-on-one 

(5 Questions)

  • Q1. What about your self?
  • Q2. Family background
  • Q3. Power BI test and advanced excel
  • Q4. Microsoft access test
  • Q5. Python test and One to one discussion with super boss
Interview experience
5
Excellent
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Recruitment Consulltant and was interviewed in Nov 2024. There were 2 interview rounds.

Round 1 - HR 

(2 Questions)

  • Q1. Can you provide an overview of your background, including your past experiences and daily activities, as well as the tools you use in your routine?
  • Q2. What are the concepts of advanced Excel and Power BI projects, and how are they utilized within a company or for clients?
Round 2 - One-on-one 

(2 Questions)

  • Q1. Can you explain your project experience related to Advanced Excel and Power BI?
  • Q2. What are the concepts of credit and operations, particularly in relation to Know Your Customer (KYC) procedures and the privacy of client data?

Interview Preparation Tips

Interview preparation tips for other job seekers - If your resume is shortlisted, then there is a higher chance that you will be selected.
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Naukri.com and was interviewed in Nov 2024. There were 2 interview rounds.

Round 1 - Technical 

(2 Questions)

  • Q1. All questions based on databricks and some pyspark , python , SQL only.
  • Q2. Learn windows function implementation in databricks note book.
Round 2 - HR 

(1 Question)

  • Q1. This round about your salary discussion around.

Interview Preparation Tips

Topics to prepare for Accenture Senior Data Engineer interview:
  • Python
  • Pyspark
  • SQL
  • Databricks
Interview preparation tips for other job seekers - Please prepare for pyspark, python , SQL , databricks for practice to switch your job to big data engineer

Data Radian Technologies Interview FAQs

How many rounds are there in Data Radian Technologies Data Analyst Trainee interview?
Data Radian Technologies interview process usually has 5-6 rounds. The most common rounds in the Data Radian Technologies interview process are Technical, Coding Test and Assignment.
What are the top questions asked in Data Radian Technologies Data Analyst Trainee interview?

Some of the top questions asked at the Data Radian Technologies Data Analyst Trainee interview -

  1. Write a query in sql to fetch latest satat ordered by d...read more
  2. Write a code in Python ,difference between inner join and left j...read more
  3. I was mainly asked about SQl, and the Assignment was discuss...read more

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Data Radian Technologies Data Analyst Trainee Reviews and Ratings

based on 1 review

4.0/5

Rating in categories

4.0

Skill development

4.0

Work-Life balance

4.0

Salary & Benefits

4.0

Job Security

4.0

Company culture

4.0

Promotions/Appraisal

3.0

Work Satisfaction

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Data Analyst
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₹13.5 L/yr - ₹15 L/yr

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