Mindgraph Data Engineer Interview Questions and Answers

Q1. Azure Scenario based questions
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Q2. Pyspark Coding based questions
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Q1. ADF, Databricks related question
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Q2. Spark Performance problem and scenarios
Ans. 
Spark performance problems can arise due to inefficient code, data skew, resource constraints, and improper configuration.
• Inefficient code can lead to slow performance, such as using collect() on large datasets.

• Data skew can cause uneven distribution of data across partitions, impacting processing time.

• Resource constraints like insufficient memory or CPU can result in slow Spark jobs.

• Improper configuration settings, su...read more
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Q1. How to Ensure Data loss in ETL pipeline
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Q2. Why to spin up Dataproc cluster when there is serverless batch job exists.
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Aptitude test involved with quantative aptitude, logical reasoning and reading comprehensions.

Q1. Tell me your introduction.
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Q2. Tell me about your skills.
Ans. 
I have strong skills in data processing, ETL, data modeling, and programming languages like Python and SQL.
• Proficient in data processing and ETL techniques

• Strong knowledge of data modeling and database design

• Experience with programming languages like Python and SQL

• Familiarity with big data technologies such as Hadoop and Spark
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Q1. Are you ready relocate,?
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Yes, I am open to relocating for the right opportunity.
• I am willing to relocate for the right job opportunity.

• I have experience moving for previous roles.

• I am flexible and adaptable to new locations.

• I am excited about the possibility of exploring a new city or country.
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Q2. Document verification
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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
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Q2. Questions on resume
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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...read more
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Q2. SQL questions of joins,group by
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Q1. Scenario based azure data factory questions
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Q2. Project structres, pyspark dataframes related
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Q1. Python Lambda Function
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Q2. What are pods in Kubernetes
Ans. 
Pods are the smallest deployable units in Kubernetes, consisting of one or more containers.
• Pods are used to run and manage containers in Kubernetes

• Each pod has its own unique IP address within the Kubernetes cluster

• Pods can contain multiple containers that share resources and are scheduled together

• Pods are ephemeral and can be easily created, destroyed, or replicated

• Pods can be managed and scaled using Kubernetes contr
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Its mandatory test even for experience people

Q1. Related to technology
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Q1. Very good discussion towards work culture, salary and all
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Q1. Data Structures
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Q2. Python Lambda Function
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Q1. What are your Strengths
Ans. 
My strengths include strong analytical skills, attention to detail, and problem-solving abilities.
• Strong analytical skills - able to analyze complex data sets and derive meaningful insights

• Attention to detail - meticulous in ensuring data accuracy and quality

• Problem-solving abilities - adept at identifying and resolving data-related issues

• Experience with data manipulation tools like SQL, Python, and Spark
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Q2. Why you are looking for job change
Ans. 
Seeking new challenges and growth opportunities in a different environment.
• Looking for new challenges to enhance my skills and knowledge

• Seeking growth opportunities that align with my career goals

• Interested in exploring different technologies and industries

• Want to work in a more collaborative team environment

• Seeking better work-life balance or location proximity
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