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Synechron Big Data Interview Questions and Answers

Updated 17 Jul 2024

Synechron Big Data Interview Experiences

1 interview found

Big Data Interview Questions & Answers

user image Anonymous

posted on 17 Jul 2024

Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(3 Questions)

  • Q1. What is Broadcast join
  • Ans. 

    Broadcast join is a type of join operation in big data processing where one of the datasets is small enough to be broadcasted to all nodes in the cluster.

    • Used when one dataset is small enough to fit in memory of all nodes

    • Reduces shuffling of data across the network

    • Improves performance by avoiding data transfer over the network

  • Answered by AI
  • Q2. Difference between repartition and coalesce
  • Ans. 

    Repartition increases or decreases the number of partitions in a DataFrame, while coalesce only decreases the number of partitions.

    • Repartition involves shuffling data across the network, while coalesce tries to minimize shuffling by only creating new partitions if necessary.

    • Repartition is typically used when increasing the number of partitions for parallelism, while coalesce is used for decreasing partitions to optimiz...

  • Answered by AI
  • Q3. What is spark architecture
  • Ans. 

    Spark architecture is a distributed computing framework that consists of a cluster manager and worker nodes.

    • Consists of a cluster manager (e.g. Spark Standalone, YARN, Mesos) for resource management

    • Worker nodes execute tasks and store data in memory or disk

    • Supports various programming languages like Scala, Java, Python, and SQL

    • Uses Resilient Distributed Datasets (RDDs) for fault-tolerant distributed data processing

  • Answered by AI

Skills evaluated in this interview

Big Data Jobs at Synechron

View all

Interview questions from similar companies

Interview experience
5
Excellent
Difficulty level
Easy
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 - Aptitude Test 

The Aptitude Test session accesses mathematical and logical reasoning abilities

Round 2 - Technical 

(6 Questions)

  • Q1. What is Vlookup
  • Ans. 

    Vlookup is a function in Excel used to search for a value in a table and return a corresponding value from another column.

    • Vlookup stands for 'Vertical Lookup'

    • It is commonly used in Excel to search for a value in the leftmost column of a table and return a value in the same row from a specified column

    • Syntax: =VLOOKUP(lookup_value, table_array, col_index_num, [range_lookup])

    • Example: =VLOOKUP(A2, B2:D10, 3, FALSE) - searc...

  • Answered by AI
  • Q2. Some IF else Question in Excel
  • Q3. What does your day in your previous organization look like?
  • Ans. 

    My day in my previous organization involved analyzing large datasets, creating reports, and presenting findings to stakeholders.

    • Reviewing and cleaning large datasets to ensure accuracy

    • Creating visualizations and reports to communicate insights

    • Collaborating with team members to identify trends and patterns

    • Presenting findings to stakeholders in meetings or presentations

  • Answered by AI
  • Q4. Could you share the technical skills you possess?
  • Ans. 

    I possess strong technical skills in data analysis, including proficiency in programming languages, statistical analysis, and data visualization tools.

    • Proficient in programming languages such as Python, R, SQL

    • Skilled in statistical analysis and data modeling techniques

    • Experience with data visualization tools like Tableau, Power BI

    • Knowledge of machine learning algorithms and techniques

  • Answered by AI
  • Q5. Can you explain what a Pivot Table is?
  • Ans. 

    A Pivot Table is a data summarization tool used in spreadsheet programs to analyze, summarize, and present data in a tabular format.

    • Pivot tables allow users to reorganize and summarize selected columns and rows of data to obtain desired insights.

    • Users can easily group and filter data, perform calculations, and create visualizations using pivot tables.

    • Pivot tables are commonly used in Excel and other spreadsheet program...

  • Answered by AI
  • Q6. Find the Highest-paid employee in each department along with their salary and department name.
  • Ans. 

    To find the highest-paid employee in each department, we need to group employees by department and then select the employee with the highest salary in each group.

    • Group employees by department

    • Find the employee with the highest salary in each group

    • Retrieve the employee's name, salary, and department name

  • Answered by AI

Interview Preparation Tips

Topics to prepare for Nagarro Data Analyst interview:
  • SQL
  • Excel
  • Problem Solving
  • PowerBI
  • SQL Queries
Interview preparation tips for other job seekers - Practice common interviews and scenarios, especially for your role.
Be prepared to discuss past challenges and how did you overcome.
Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Aptitude Test 

The aptitude test lasts 30 minutes and focuses on topics relevant to data engineering, including Spark, SQL, Azure, and PySpark.

Round 2 - Coding Test 

The coding test is a one-hour examination on PySpark.

Round 3 - Technical 

(3 Questions)

  • Q1. What is the difference between Cache() and Persist()?
  • Q2. What does the purpose of the Spark Submit command in Apache Spark?
  • Q3. What are window functions in SQL?
Round 4 - HR 

(2 Questions)

  • Q1. Could you provide more details about the daily responsibilities associated with this role?
  • Q2. How would you describe your work culture?
Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
No response
Round 1 - Technical 

(4 Questions)

  • Q1. What is the architecture of Apache Spark?
  • Ans. 

    Apache Spark architecture includes a cluster manager, worker nodes, and driver program.

    • Apache Spark architecture consists of a cluster manager, which allocates resources and schedules tasks.

    • Worker nodes execute tasks and store data in memory or disk.

    • Driver program coordinates tasks and communicates with the cluster manager.

    • Spark applications run as independent sets of processes on a cluster, coordinated by the SparkCon...

  • Answered by AI
  • Q2. What is the difference between the reduceBy and groupBy transformations in Apache Spark?
  • Ans. 

    reduceBy is used to aggregate data based on key, while groupBy is used to group data based on key.

    • reduceBy is a transformation that combines the values of each key using an associative function and a neutral 'zero value'.

    • groupBy is a transformation that groups the data based on a key and returns a grouped data set.

    • reduceBy is more efficient for aggregating data as it reduces the data before shuffling, while groupBy shu...

  • Answered by AI
  • Q3. What is the difference between RDD (Resilient Distributed Datasets) and DataFrame in Apache Spark?
  • Ans. 

    RDD is a low-level abstraction representing a distributed collection of objects, while DataFrame is a higher-level abstraction representing a distributed collection of data organized into named columns.

    • RDD is more suitable for unstructured data and low-level transformations, while DataFrame is more suitable for structured data and high-level abstractions.

    • DataFrames provide optimizations like query optimization and code...

  • Answered by AI
  • Q4. What are the different modes of execution in Apache Spark?
  • Ans. 

    The different modes of execution in Apache Spark include local mode, standalone mode, YARN mode, and Mesos mode.

    • Local mode: Spark runs on a single machine with one executor.

    • Standalone mode: Spark runs on a cluster managed by a standalone cluster manager.

    • YARN mode: Spark runs on a Hadoop cluster using YARN as the resource manager.

    • Mesos mode: Spark runs on a Mesos cluster with Mesos as the resource manager.

  • Answered by AI
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. Sql queries pandas coding
  • Q2. Some questions related to power bi
Round 2 - Technical 

(1 Question)

  • Q1. Salary discussion and feedback
Interview experience
1
Bad
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
No response

I applied via Job Fair and was interviewed in Nov 2024. There were 2 interview rounds.

Round 1 - Technical 

(2 Questions)

  • Q1. DAX Related Syntax and Codes
  • Q2. Data Modelling, SQL, Python
Round 2 - Technical 

(1 Question)

  • Q1. No Response from HR after calling of selection after Round 1
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-

I was interviewed in Dec 2024.

Round 1 - Technical 

(2 Questions)

  • Q1. Windows function-related questions.
  • Q2. Join Related Questions.
Round 2 - Technical 

(2 Questions)

  • Q1. Join related Questions
  • Q2. Subqueries related queations.
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. What is the importance of data analysis?
  • Ans. 

    Data analysis is crucial for making informed decisions, identifying trends, and solving complex problems.

    • Helps in making informed decisions based on data-driven insights

    • Identifies trends and patterns that can lead to strategic business decisions

    • Aids in solving complex problems by analyzing data to find root causes

    • Improves efficiency and effectiveness of processes through data-driven optimizations

  • Answered by AI
  • Q2. What steps should be taken to become a data analyst?
  • Ans. 

    To become a data analyst, one should focus on acquiring relevant education, gaining experience with data analysis tools, and developing strong analytical and problem-solving skills.

    • Obtain a degree in a related field such as statistics, mathematics, computer science, or data science.

    • Gain experience with data analysis tools such as SQL, Python, R, and Excel.

    • Develop strong analytical and problem-solving skills by working ...

  • Answered by AI
Interview experience
3
Average
Difficulty level
Moderate
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 - Technical 

(2 Questions)

  • Q1. How do you utilize the enhanced optimization option in AWS Glue?
  • Ans. 

    Enhanced optimization in AWS Glue improves job performance by automatically adjusting resources based on workload

    • Enhanced optimization in AWS Glue automatically adjusts resources like DPUs based on workload

    • It helps improve job performance by optimizing resource allocation

    • Users can enable enhanced optimization in AWS Glue job settings

  • Answered by AI
  • Q2. What are the best practices for optimizing querying in Amazon Redshift?
  • Ans. 

    Optimizing querying in Amazon Redshift involves proper table design, distribution keys, sort keys, and query optimization techniques.

    • Use appropriate distribution keys to evenly distribute data across nodes for parallel processing.

    • Utilize sort keys to physically order data on disk, reducing the need for sorting during queries.

    • Avoid using SELECT * and instead specify only the columns needed to reduce data transfer.

    • Use AN...

  • Answered by AI
Interview experience
5
Excellent
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Campus Placement and was interviewed in Aug 2024. There were 8 interview rounds.

Round 1 - Assignment 

Database Management system SQL and PlSQL

Round 2 - Assignment 

Database Base Management system SQL and PlSQL

Round 3 - Aptitude Test 

Database Management system

Round 4 - Aptitude Test 

Database Management system

Round 5 - Group Discussion 

Database Management system

Round 6 - Assignment 

Database Management system

Round 7 - Case Study 

Database Base Management system

Round 8 - HR 

(5 Questions)

  • Q1. Database Management system
  • Q2. SQL and PlSQL Mango Data And Manu Database Management system
  • Q3. C Language and C++Language and Java
  • Q4. Data Analysis and Data entry
  • Q5. DBMS C,C++ Java Data Entry Ms Excel Ms Word Ms PP

Interview Preparation Tips

Interview preparation tips for other job seekers - Database Management system SQL and PlSQL and C Language and C++Language and Java And Web design and Web Developer

Synechron Interview FAQs

How many rounds are there in Synechron Big Data interview?
Synechron interview process usually has 1 rounds. The most common rounds in the Synechron interview process are Technical.
How to prepare for Synechron Big Data interview?
Go through your CV in detail and study all the technologies mentioned in your CV. Prepare at least two technologies or languages in depth if you are appearing for a technical interview at Synechron. The most common topics and skills that interviewers at Synechron expect are Troubleshooting, Big Data, JDBC, Linux Administration and Multithreading.
What are the top questions asked in Synechron Big Data interview?

Some of the top questions asked at the Synechron Big Data interview -

  1. difference between repartition and coale...read more
  2. what is Broadcast j...read more
  3. what is spark architect...read more

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Synechron Big Data Interview Process

based on 1 interview

Interview experience

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Average
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Lead Big Data

Chennai

2-4 Yrs

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