CGI Group Pyspark Developer Interview Questions and Answers

Hadoop + Spark MCQ online test

Q1. Spark Architecture
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Q2. Transformations vs Actions
Ans. 
Transformations are lazy operations that create new RDDs, while Actions are operations that trigger computation and return results.
• Transformations are operations like map, filter, and reduceByKey that create a new RDD from an existing one.

• Actions are operations like count, collect, and saveAsTextFile that trigger computation on an RDD and return results.

• Transformations are lazy and are only executed when an action is c...read more
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1. Find duplicate
2. 2,3 highest salary

Basic python coding, list, dict, generators etc

Q1. Salary negotiation
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Q1. Conceptual questions
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An aptitude test is an assessment to measure a candidate mental aptitude/mental ability

Q1. Can you briefly Tell us about yourself?
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Q2. What do you consider to be your strongest points?
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Q3. Which programming languages do you use regularly in your work
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A group discussion is a structured conversation in which participants share their ideas, perspectives, and solutions on a specific topic.

Q1. What motivates you to seek employment at Wipro?
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Q2. What are your long-term career goals?
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Assignment details refer to the specifics of an assignment, including any documents and/or emails or subsequent correspondence between the company and the client.

Q1. 2 way 3 way matching
Ans. 
2 way 3 way matching is a process used in accounting to ensure accuracy in financial transactions.
• 2 way matching involves matching the invoice with the purchase order

• 3 way matching involves matching the invoice with the purchase order and the receiving report

• Helps in detecting errors or discrepancies in the billing process
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Q2. Accounts payable and accounts receivable
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Q3. Some general questions
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Q1. T code to review po
Ans. 
ME23N
• ME23N is the T code used to review purchase orders in SAP

• It allows users to view details of a specific purchase order, such as vendor information, item details, and delivery status
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Q2. If you find mismatch in quantity who to you contact
Ans. 
Contact the inventory manager or supervisor for resolution.
• Contact inventory manager or supervisor immediately

• Verify the discrepancy with relevant documentation

• Discuss potential causes of the mismatch and work towards resolution
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Q3. Vendor ledger entry
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Q4. Where you see grn
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GRN stands for Goods Receipt Note, which is a document used in the procurement process to confirm the receipt of goods.
• GRN is used in the procurement process to verify that the goods ordered have been received in good condition.

• It includes details such as the quantity, quality, and condition of the goods received.

• GRN is an important document for inventory management and accounting purposes.

• It is typically generated by ...read more
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Q5. First self introduction
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Q6. How you learn from where you learn
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Q7. You have theoretical knowledge no practical how can u do
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I would seek hands-on experience through internships, workshops, or online tutorials to bridge the gap between theory and practice.
• Seek internships or part-time jobs in the field to gain practical experience

• Participate in workshops or training sessions to apply theoretical knowledge in real-life scenarios

• Utilize online tutorials or courses to practice and implement theoretical concepts

• Collaborate with professionals in ...read more
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Q1. I am fine or not
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Q2. I want this job
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Q3. I want information for selected in job and interview
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Q4. And I want the company your details and related studies details
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Q5. And it will be a good job for me so please select in this company for my family situation
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Group discussion related in company

Q1. What is the difference between coalesce and repartition in data processing?
Ans. 
Coalesce reduces the number of partitions without shuffling data, while repartition reshuffles data to create a specific number of partitions.
• Coalesce is used to reduce the number of partitions without shuffling data

• Repartition is used to increase or decrease the number of partitions by shuffling data

• Coalesce is more efficient when reducing partitions as it avoids shuffling

• Repartition is useful when you need to explici...read more
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Q2. What is the difference between a DataFrame and an RDD (Resilient Distributed Dataset)?
Ans. 
DataFrame is a higher-level abstraction built on top of RDD, providing more structure and optimization capabilities.
• DataFrames are distributed collections of data organized into named columns, similar to tables in a relational database.

• RDDs are lower-level abstractions representing a collection of objects distributed across a cluster, with no inherent structure.

• DataFrames provide optimizations like query optimization a...read more
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