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Diggibyte Technologies Azure Data Engineer Interview Questions and Answers

Updated 15 Nov 2022

6 Interview questions

An Azure Data Engineer was asked
Q. How to create mount points? How to load data source to ADLS?
Ans. 

To create mount points in ADLS, use the Azure Storage Explorer or Azure Portal. To load data source, use Azure Data Factory or Azure Databricks.

  • Mount points can be created using Azure Storage Explorer or Azure Portal

  • To load data source, use Azure Data Factory or Azure Databricks

  • Mount points allow you to access data in ADLS as if it were a local file system

  • Data can be loaded into ADLS using various tools such as Az...

An Azure Data Engineer was asked
Q. How to choose a cluster to process the data? What is Azure services ?
Ans. 

Choose a cluster based on data size, complexity, and processing requirements.

  • Consider the size and complexity of the data to be processed.

  • Determine the processing requirements, such as batch or real-time processing.

  • Choose a cluster with appropriate resources, such as CPU, memory, and storage.

  • Examples of Azure clusters include HDInsight, Databricks, and Synapse Analytics.

Azure Data Engineer Interview Questions Asked at Other Companies

asked in TCS
Q1. How can we load multiple (50) tables at a time using ADF?
Q2. If both ADF and Databricks can achieve similar functionalities li ... read more
asked in KPMG India
Q3. Difference between RDD, Dataframe and Dataset. How and what you h ... read more
asked in Techigai
Q4. What is incremental load and other types of loads? How do you imp ... read more
asked in TCS
Q5. Show me the details of newly joined employees based on two tables ... read more
An Azure Data Engineer was asked
Q. What is Accumulators? what is groupby key and reducedby key?
Ans. 

Accumulators are variables used for aggregating data in Spark. GroupByKey and ReduceByKey are operations used for data transformation.

  • Accumulators are used to accumulate values across multiple tasks in a distributed environment.

  • GroupByKey is used to group data based on a key and create a pair of key-value pairs.

  • ReduceByKey is used to aggregate data based on a key and reduce the data to a single value.

  • GroupByKey is...

An Azure Data Engineer was asked
Q. What is serialization? what is broadcast join?
Ans. 

Serialization is the process of converting an object into a stream of bytes for storage or transmission.

  • Serialization is used to transfer objects between different applications or systems.

  • It allows objects to be stored in a file or database.

  • Serialization can be used for caching and improving performance.

  • Examples of serialization formats include JSON, XML, and binary formats like Protocol Buffers and Apache Avro.

An Azure Data Engineer was asked
Q. What is DAG? what is RDD?
Ans. 

DAG stands for Directed Acyclic Graph and is a way to represent dependencies between tasks. RDD stands for Resilient Distributed Datasets and is a fundamental data structure in Apache Spark.

  • DAG is used to represent a series of tasks or operations where each task depends on the output of the previous task.

  • RDD is a distributed collection of data that can be processed in parallel across multiple nodes in a cluster.

  • RD...

An Azure Data Engineer was asked
Q. What is the Spark architecture? what is azure sql?
Ans. 

Spark architecture is a distributed computing framework that processes large datasets in parallel across a cluster of nodes.

  • Spark has a master-slave architecture with a driver program that communicates with the cluster manager to allocate resources and tasks to worker nodes.

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

  • Spark supports various data sources and APIs for batch processing, str...

Diggibyte Technologies Azure Data Engineer Interview Experiences

1 interview found

I applied via Naukri.com and was interviewed in May 2022. There were 2 interview rounds.

Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
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.
View all tips
Round 2 - One-on-one 

(7 Questions)

  • Q1. What is the Spark architecture? what is azure sql?
  • Ans. 

    Spark architecture is a distributed computing framework that processes large datasets in parallel across a cluster of nodes.

    • Spark has a master-slave architecture with a driver program that communicates with the cluster manager to allocate resources and tasks to worker nodes.

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

    • Spark supports various data sources and APIs for batch processing, streamin...

  • Answered by AI
  • Q2. What is DAG? what is RDD?
  • Ans. 

    DAG stands for Directed Acyclic Graph and is a way to represent dependencies between tasks. RDD stands for Resilient Distributed Datasets and is a fundamental data structure in Apache Spark.

    • DAG is used to represent a series of tasks or operations where each task depends on the output of the previous task.

    • RDD is a distributed collection of data that can be processed in parallel across multiple nodes in a cluster.

    • RDDs ar...

  • Answered by AI
  • Q3. What is serialization? what is broadcast join?
  • Ans. 

    Serialization is the process of converting an object into a stream of bytes for storage or transmission.

    • Serialization is used to transfer objects between different applications or systems.

    • It allows objects to be stored in a file or database.

    • Serialization can be used for caching and improving performance.

    • Examples of serialization formats include JSON, XML, and binary formats like Protocol Buffers and Apache Avro.

  • Answered by AI
  • Q4. What is your roles and responsibilities in your current project?
  • Q5. What is Accumulators? what is groupby key and reducedby key?
  • Ans. 

    Accumulators are variables used for aggregating data in Spark. GroupByKey and ReduceByKey are operations used for data transformation.

    • Accumulators are used to accumulate values across multiple tasks in a distributed environment.

    • GroupByKey is used to group data based on a key and create a pair of key-value pairs.

    • ReduceByKey is used to aggregate data based on a key and reduce the data to a single value.

    • GroupByKey is less...

  • Answered by AI
  • Q6. How to choose a cluster to process the data? What is Azure services ?
  • Ans. 

    Choose a cluster based on data size, complexity, and processing requirements.

    • Consider the size and complexity of the data to be processed.

    • Determine the processing requirements, such as batch or real-time processing.

    • Choose a cluster with appropriate resources, such as CPU, memory, and storage.

    • Examples of Azure clusters include HDInsight, Databricks, and Synapse Analytics.

  • Answered by AI
  • Q7. How to create mount points? How to load data source to ADLS?
  • Ans. 

    To create mount points in ADLS, use the Azure Storage Explorer or Azure Portal. To load data source, use Azure Data Factory or Azure Databricks.

    • Mount points can be created using Azure Storage Explorer or Azure Portal

    • To load data source, use Azure Data Factory or Azure Databricks

    • Mount points allow you to access data in ADLS as if it were a local file system

    • Data can be loaded into ADLS using various tools such as Azure D...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Keep learning until get the job.
we will more focus on practical knowledge.

Skills evaluated in this interview

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Can speak English, can’t deliver in interviews
I feel like I can't speak fluently during interviews. I do know english well and use it daily to communicate, but the moment I'm in an interview, I just get stuck. since it's not my first language, I struggle to express what I actually feel. I know the answer in my head, but I just can’t deliver it properly at that moment. Please guide me
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Interview questions from similar companies

Data Engineer Interview Questions & Answers

Amazon user image Rohit Kulkarni

posted on 21 Sep 2015

Interview Preparation Tips

Round: Resume Shortlist
Experience: Relevant experience matters, a lot!

Round: HR Interview
Experience: Nothing specific. Just resume based.

Round: Technical Interview
Experience: 7 rounds. Across SQL, Python, Shell Script (bash), platform architectures and Amazon web services (AWS).
Tips: Prepare well - SQL and data architectures for various use cases.

Round: Behavioural Interview
Experience: On Amazons leadersh

Azure Data Engineer Interview Questions Asked at Other Companies

asked in TCS
Q1. How can we load multiple (50) tables at a time using ADF?
Q2. If both ADF and Databricks can achieve similar functionalities li ... read more
asked in KPMG India
Q3. Difference between RDD, Dataframe and Dataset. How and what you h ... read more
asked in Techigai
Q4. What is incremental load and other types of loads? How do you imp ... read more
asked in TCS
Q5. Show me the details of newly joined employees based on two tables ... read more

I applied via Campus Placement and was interviewed before Jul 2021. There were 3 interview rounds.

Round 1 - Aptitude Test 

In this round we have aptitude plus coding mcq questions

Round 2 - Coding Test 

Here we have to write full fledge code 2 questions were there and are easy

Round 3 - HR 

(1 Question)

  • Q1. Here we have hr plus technical interview

Interview Preparation Tips

Interview preparation tips for other job seekers - Keep working hard and the placement round is easy overall

I applied via Campus Placement and was interviewed before May 2020. There was 1 interview round.

Interview Questionnaire 

4 Questions

  • Q1. 1. Programming Logic for loops and majorly In python
  • Ans. 

    Python has for and while loops. For loop iterates over a sequence and while loop executes a block of code while a condition is true.

    • For loop syntax: for variable in sequence: block of code

    • While loop syntax: while condition: block of code

    • Example: for i in range(5): print(i) will print 0 to 4

    • Example: while x < 5: print(x); x += 1 will print 0 to 4

  • Answered by AI
  • Q2. Data warehouse concept
  • Q3. Cloud Concepts Aws
  • Q4. SQL writing SQL query important
  • Ans. 

    SQL writing is crucial for data engineers to manage, manipulate, and retrieve data efficiently from databases.

    • Data Retrieval: SQL allows for efficient querying of large datasets. Example: SELECT * FROM users WHERE age > 30;

    • Data Manipulation: SQL enables data insertion, updates, and deletions. Example: UPDATE users SET status = 'active' WHERE last_login > '2023-01-01';

    • Data Aggregation: SQL can summarize data using...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Work on SQL well and have some knowledge of AWS and data warehouse and some programming language like python

Skills evaluated in this interview

I applied via Campus Placement and was interviewed before Jan 2021. There were 4 interview rounds.

Interview Questionnaire 

3 Questions

  • Q1. Describe your projects?
  • Q2. What are the technologies you have worked on?
  • Ans. 

    I have worked on various technologies including Hadoop, Spark, SQL, Python, and AWS.

    • Experience with Hadoop and Spark for big data processing

    • Proficient in SQL for data querying and manipulation

    • Skilled in Python for data analysis and scripting

    • Familiarity with AWS services such as S3, EC2, and EMR

    • Knowledge of data warehousing and ETL processes

  • Answered by AI
  • Q3. Behavioral Questions

Interview Preparation Tips

Interview preparation tips for other job seekers - Be confident and prepare your resume well.

I applied via Walk-in and was interviewed before Feb 2020. There was 1 interview round.

Interview Questionnaire 

1 Question

  • Q1. Interview mainly asked about spark architecture.

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare well with the basic

I applied via Recruitment Consultant and was interviewed before Nov 2020. There were 3 interview rounds.

Interview Questionnaire 

2 Questions

  • Q1. Cloud Data Warehousing
  • Q2. SQL, ETL related Questions

Interview Preparation Tips

Interview preparation tips for other job seekers - Strong in SQL and ETL Basics
Are these interview questions helpful?

I appeared for an interview in Nov 2020.

Interview Questionnaire 

1 Question

  • Q1. Design booking.com.
  • Ans. 

    Design a scalable and efficient platform for booking accommodations, flights, and experiences.

    • User Interface: Create a user-friendly interface for searching and booking accommodations.

    • Database Design: Use a relational database for storing user data, bookings, and property details.

    • Search Functionality: Implement a robust search algorithm to filter results based on user preferences.

    • Scalability: Use microservices architec...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - prepare SQL complex queries.

I applied via Job Portal and was interviewed before Jul 2021. There were 2 interview rounds.

Round 1 - Coding Test 

Coding test in hacker rank, easy

Round 2 - One-on-one 

(1 Question)

  • Q1. Questions related to dbms, Computer network, basic programming language

Interview Preparation Tips

Interview preparation tips for other job seekers - For freshers, its easy but the pay is less.

Interview Questionnaire 

1 Question

  • Q1. Performance tuning in spark

Interview Preparation Tips

Interview preparation tips for other job seekers - Focus on primary skills. I was interviewing for the role of spark developer, There were questions on joins, windows function, pyspark code to write on the basis of data provided

Skills evaluated in this interview

Diggibyte Technologies Interview FAQs

How many rounds are there in Diggibyte Technologies Azure Data Engineer interview?
Diggibyte Technologies interview process usually has 2 rounds. The most common rounds in the Diggibyte Technologies interview process are Resume Shortlist and One-on-one Round.
What are the top questions asked in Diggibyte Technologies Azure Data Engineer interview?

Some of the top questions asked at the Diggibyte Technologies Azure Data Engineer interview -

  1. How to create mount points? How to load data source to AD...read more
  2. How to choose a cluster to process the data? What is Azure service...read more
  3. what is Accumulators? what is groupby key and reducedby k...read more

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