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Diggibyte Technologies Azure Data Engineer Interview Questions, Process, and Tips

Updated 15 Nov 2022

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:
Don’t add your photo or details such as gender, age, and address in your resume. These details do not add any value.
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

Interview questions from similar companies

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

Interview Questionnaire 

1 Question

  • Q1. Joined as a fresher, basic C program algo

Interview Preparation Tips

Interview preparation tips for other job seekers - Very easy to crack

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 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 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

Interview Questionnaire 

1 Question

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

    Spark has a master-slave architecture with a cluster manager and worker nodes.

    • Spark has a driver program that communicates with a cluster manager to allocate resources and schedule tasks.

    • The cluster manager can be standalone, Mesos, or YARN.

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

    • Spark can also utilize external data sources like Hadoop Distributed File System (HDFS) or Amazon S3.

    • Spark supports va...

  • Answered by AI

Skills evaluated in this interview

I applied via Referral and was interviewed before Jun 2021. 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 - Technical 

(3 Questions)

  • Q1. SQL based scenario mostly windows functions
  • Q2. Basic data warehouse concepts
  • Q3. Basic ETL and data modelling issues

Interview Preparation Tips

Topics to prepare for Accenture Data Engineer interview:
  • ETL
  • SQL
  • Data Warehousing
  • Data Modeling
  • Python
Interview preparation tips for other job seekers - Mostly they asked about SQL, mostly windows functions.
I have work experience on talend ETL they asked basic concepts of ETL, Data warehouse and data modelling.
Basic questions about
Round 1 - Coding Test 

Basic Questions on python related to strings

Round 2 - Technical 

(2 Questions)

  • Q1. What method to reduce time complexity
  • Q2. Which technology will suit a particylar situation
  • Ans. 

    Choosing the right technology depends on the specific requirements of the situation.

    • Consider the data size and complexity

    • Evaluate the processing speed and scalability

    • Assess the cost and availability of the technology

    • Take into account the skillset of the team

    • Examples: Hadoop for big data, Spark for real-time processing, AWS for cloud-based solutions

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - All the best. Be prepared for the Python questions.Try to attempt them from Hackerrank.
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - One-on-one 

(5 Questions)

  • Q1. Tell me about your current project? Have you used any AWS services?
  • Q2. Can you explain about EMR andEC2 instance?
  • Ans. 

    EMR is a managed Hadoop framework for processing large amounts of data, while EC2 is a scalable virtual server in AWS.

    • EMR stands for Elastic MapReduce and is a managed Hadoop framework for processing large amounts of data.

    • EC2 stands for Elastic Compute Cloud and is a scalable virtual server in Amazon Web Services (AWS).

    • EMR allows for easy provisioning and scaling of Hadoop clusters, while EC2 provides resizable compute...

  • Answered by AI
  • Q3. What type of schemas did you use for your project. (Star schema, Snowflake Schema)
  • Ans. 

    I have experience working with both Star and Snowflake schemas in my projects.

    • Star schema is a denormalized schema where one central fact table is connected to multiple dimension tables.

    • Snowflake schema is a normalized schema where dimension tables are further normalized into sub-dimension tables.

    • Used Star schema for simpler, smaller datasets where performance is a priority.

    • Used Snowflake schema for complex, larger dat...

  • Answered by AI
  • Q4. Have you used python, pyspark in your projects?
  • Ans. 

    Yes, I have used Python and PySpark in my projects for data engineering tasks.

    • I have used Python for data manipulation, analysis, and visualization.

    • I have used PySpark for big data processing and distributed computing.

    • I have experience in writing PySpark jobs to process large datasets efficiently.

  • Answered by AI
  • Q5. Do you have any experience with serverless schema?
  • Ans. 

    Yes, I have experience with serverless schema.

    • I have worked with AWS Lambda to build serverless applications.

    • I have experience using serverless frameworks like Serverless Framework or AWS SAM.

    • I have designed and implemented serverless architectures using services like AWS API Gateway and AWS DynamoDB.

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare for real time job experience. Most of the questions they ask are looking for your experience with real time projects.

Skills evaluated in this interview

Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. What is Databricks, Internals of it, Optimization technique
  • Ans. 

    Databricks is a unified analytics platform that provides a collaborative environment for data scientists, engineers, and analysts.

    • Databricks is built on top of Apache Spark, providing a unified platform for data engineering, data science, and business analytics.

    • Internals of Databricks include a cluster manager, job scheduler, and workspace for collaboration.

    • Optimization techniques in Databricks include query optimizati...

  • Answered by AI
  • Q2. SQL questions of joins,group by
Round 2 - Technical 

(2 Questions)

  • Q1. Scenario based azure data factory questions
  • Q2. Project structres, pyspark dataframes related

Interview Preparation Tips

Interview preparation tips for other job seekers - Juat practice fundamentals

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

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