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Synechron Data Engineer Interview Questions and Answers
Synechron Data Engineer Interview Experiences
5 interviews found
Anonymous
I applied via Naukri.com and was interviewed in Jan 2024. There was 1 interview round.
(1 Question)
- Q1. Spark Optimizations
Interview Preparation Tips
I applied via Naukri.com and was interviewed in May 2023. There were 2 interview rounds.
(3 Questions)
- Q1. SQL coding on Emp & dept. Questions on spark concepts like memory allocation, partitioniong, bucketing.
- Q2. Write pyspark code for reading a file and do a simple transformation like aggregation and write as parquet file.
- Q3. Basic linux commands like how do you copy files, rename files, sed command etc
(1 Question)
- Q1. Spark related questions
(1 Question)
- Q1. Spark and basic scenario based questions
What people are saying about Synechron
Selected
I applied via Approached by Company and was interviewed in Jul 2022. There were 4 interview rounds.
(1 Question)
- Q1. Big data concepts , hive ,spark
(1 Question)
- Q1. Spark ,coding , hive
(1 Question)
- Q1. Normal HR round , no rejection
Interview Preparation Tips
Synechron interview questions for designations
(2 Questions)
- Q1. Q1.What is trails Q2.What is Scala object. 3. how to create case class 4.Write a program for Fibonacci Sequence. 45 explain import sample Q6. what is trails
- Ans.
A set of questions related to programming concepts and syntax.
Trails may refer to a path followed by a program's execution or a set of tutorials for learning a programming language.
Scala object is a singleton instance of a class that can be used to hold utility methods or constants.
Case classes are immutable classes that are used to hold data.
Fibonacci sequence is a series of numbers where each number is the sum of the...
- Q2. What is scala Object
- Ans.
Scala Object is a singleton instance of a class that can be used to hold utility methods or constants.
Scala Object is similar to Java static class
It can hold utility methods or constants
It is a singleton instance of a class
It is used to encapsulate stateless functionality
Example: object MathUtils { def add(a: Int, b: Int) = a + b }
Example: val result = MathUtils.add(2, 3)
Interview Preparation Tips
How to deal with multiple delimiter .
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Data Engineer Interview Questions & Answers
Virtusa Consulting Services
SHIKHA
posted on 31 Dec 2024
(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...
- 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...
- 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...
- 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.
I applied via Campus Placement and was interviewed in Oct 2024. There was 1 interview round.
(2 Questions)
- Q1. Write code in regular expression to remove the special characters
- Ans.
Use regular expression to remove special characters from a string
Use the regex pattern [^a-zA-Z0-9\s] to match any character that is not a letter, digit, or whitespace
Use the replace() function in your programming language to replace the matched special characters with an empty string
Example: input string 'Hello! How are you?' will become 'Hello How are you' after removing special characters
- Q2. Questions on resume
(1 Question)
- Q1. Python SQL question
(1 Question)
- Q1. More on Project side
(1 Question)
- Q1. Salary Discussion
RAVI GUPTA
(1 Question)
- Q1. Data engineer roles and resposibilities
Interview Preparation Tips
(2 Questions)
- Q1. Sql questions were
- Q2. Spark related aswell
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Synechron Interviews By Designations
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Synechron Data Engineer Interview Process
based on 6 interviews
2 Interview rounds
- Resume Shortlist Round
- Technical Round
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based on 5 reviews
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