Gartner Data Specialist Interview Questions and Answers

Q1. What is spark,explain its ecosystem
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Q2. What are transformations, and how many types of transformations exist?
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Q3. Explain about spark job process and its planning
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Q4. What are the concepts of coalesce and repartition in data processing?
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Q5. Explain about oom and driverhead memory
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Q6. What is data skewness
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Q1. What wrk you are currently doing in this field
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Q2. Implementation project of sap mm and ariba
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Set of questions on english , aptitude , all are at easy level

Sql basics and some query questions

Q1. Why do u want to join zs ; what do u know about zs; where do u see urself after 5 years ; question on real life scenarios ;
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Q2. Question on real life scenarios
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Q1. Salary expectation
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Q2. When can u join
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Q1. What is Linear regression
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Q2. What li list and tuple
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Q3. Previous company project experience
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Q1. Project related discussions
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Q2. Meduim level SQl and DSA
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Q1. This was data modelling round
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Q2. Design a uber data model
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Uber data model design for efficient storage and retrieval of ride-related information.
• Create tables for users, drivers, rides, payments, and ratings

• Include attributes like user_id, driver_id, ride_id, payment_id, rating_id, timestamp, location, fare, etc.

• Establish relationships between tables using foreign keys

• Implement indexing for faster query performance
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Three sections are there 1) Aptitude Test 2) SQL 3) DSA

Q1. What is DSA , sorting , difference between array and linked list
Ans. 
DSA stands for Data Structures and Algorithms. Sorting is the process of arranging data in a particular order. Array is a data structure that stores elements of the same data type in contiguous memory locations, while linked list is a data structure that stores elements in nodes with pointers to the next node.
• DSA stands for Data Structures and Algorithms

• Sorting is the process of arranging data in a particular order

• Arra...read more
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Q2. Written a SQL query
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Q1. Coding question like add numbers
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Q2. Experience on your project
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I have experience working on various data analysis projects, including market research, customer segmentation, and predictive modeling.
• Developed predictive models to forecast customer behavior and optimize marketing strategies

• Conducted market research to identify trends and opportunities for growth

• Performed customer segmentation analysis to target specific demographics with personalized marketing campaigns
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Q1. Power BI Difference between ALL() and ALLSELECTED()
Ans. 
ALL() ignores all filters in the query context, while ALLSELECTED() ignores only filters on columns in the visual.
• ALL() removes all filters from the specified column or table.

• ALLSELECTED() removes filters from the specified column or table, but keeps filters on other columns in the visual.

• Example: ALL('Table') would remove all filters on the 'Table' in the query context.

• Example: ALLSELECTED('Column') would remove filte...read more
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Q2. Excel Difference between COUNT() and COUNTA()
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COUNT() counts only numeric values, while COUNTA() counts all non-empty cells.
• COUNT() counts only cells with numerical values.

• COUNTA() counts all non-empty cells, including text and errors.

• Example: COUNT(A1:A5) will count only cells with numbers, while COUNTA(A1:A5) will count all non-empty cells.
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Q1. Resume based questions like explain the projects that you have done.
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Q2. Sample dataset questions
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Q1. Basics of power bi and sql
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Q2. What are joins and types of join
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Q3. How to add date table in power bi
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Q1. Sql scenario based question on joins
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Q2. Window function questions
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Q3. Performance tuning
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Q4. Power bi dax question
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