Accenture Pyspark Developer Interview Questions and Answers

Q1. Why Spark is used?
Ans. 
Spark is used for big data processing due to its speed, scalability, and ease of use.
• Spark is used for processing large volumes of data quickly and efficiently.

• It offers in-memory processing which makes it faster than traditional MapReduce.

• Spark provides a wide range of libraries for diverse tasks like SQL, streaming, machine learning, and graph processing.

• It can run on various platforms like Hadoop, Kubernetes, and st...read more
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Q2. What are RDDs and DataFrames
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RDDs and DataFrames are data structures in Apache Spark for processing and analyzing large datasets.
• RDDs (Resilient Distributed Datasets) are the fundamental data structure of Spark, representing a collection of elements that can be operated on in parallel.

• DataFrames are distributed collections of data organized into named columns, similar to a table in a relational database.

• DataFrames are built on top of RDDs, providi...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. Basic SQL and Python Questions
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Q1. Introduction about me any question
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I am chandana i am bca graduated
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Q2. About job bases
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How to developed a skill to improve over skills
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Q3. Salary based question
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I am fresher to 2 to 4
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Q4. How to completed
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Q5. Job description
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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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I am a passionate software developer with 5 years of experience in web development and a strong background in computer science.
• 5 years of experience in web development

• Strong background in computer science

• Passionate about software development
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Q2. What do you consider to be your strongest points?
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My strongest points include problem-solving skills, attention to detail, and ability to work well in a team.
• Strong problem-solving skills - I enjoy tackling complex issues and finding creative solutions.

• Attention to detail - I am meticulous in my work and strive for perfection in every task.

• Team player - I collaborate effectively with colleagues, communicate openly, and contribute positively to group projects.
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Q3. Which programming languages do you use regularly in your work
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I regularly use Java, Python, and SQL in my work as a Software Developer.
• Java

• Python

• SQL
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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?
Ans. 
I am motivated to seek employment at Wipro because of their reputation for innovation and opportunities for growth.
• Impressed by Wipro's track record of delivering cutting-edge solutions

• Excited about the chance to work with a diverse and talented team

• Eager to take advantage of Wipro's professional development programs
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Q2. What are your long-term career goals?
Ans. 
My long-term career goal is to become a lead software developer and eventually move into a management role.
• Advance to a lead software developer position

• Gain experience in managing a team of developers

• Develop strong leadership and communication skills

• Continue learning new technologies and staying updated with industry trends
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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
Ans. 
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. 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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