ASKLASER Data Analyst Interview Questions and Answers

Q1. Can you provide an overview of your background, including your past experiences and daily activities, as well as the tools you use in your routine?
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Q2. What are the concepts of advanced Excel and Power BI projects, and how are they utilized within a company or for clients?
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Q1. Can you explain your project experience related to Advanced Excel and Power BI?
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Q2. What are the concepts of credit and operations, particularly in relation to Know Your Customer (KYC) procedures and the privacy of client data?
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Q1. I have finished Btech in Cse AI&ML taken datascience course looking for job
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NLP is my favorite subject. Is relatated medical and sign language. I have done reseach with mechien learning and AI TOOLS used for problem solving approach.

A group discussion was conducted on data-based management regarding Mr. Adani's food industry products in the state of Gujarat and their exports to other countries, utilizing data analytics.

Sql python bigdata hadoop hive spark

1 hour simple coding python sql

Q1. Advantages of sql
Ans. 
SQL allows for efficient data retrieval, manipulation, and analysis in relational databases.
• SQL is widely used in querying databases to retrieve specific data.

• It allows for data manipulation, such as adding, updating, and deleting records.

• SQL can perform complex data analysis tasks, such as aggregations and joins.

• It provides a standardized language for interacting with relational databases.

• SQL is essential for generati...read more
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Q2. Advantages of python
Ans. 
Python is a versatile programming language known for its simplicity, readability, and vast library support.
• Easy to learn and use, making it ideal for beginners and experienced programmers alike

• Extensive library support for data analysis, machine learning, web development, and more

• Strong community support with active forums and resources for problem-solving

• Cross-platform compatibility allows for seamless integration wit...read more
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Q3. Spark and its benefits
Ans. 
Spark is a fast and powerful big data processing framework that offers benefits like speed, ease of use, and versatility.
• Spark is known for its speed, as it can process data up to 100 times faster than traditional Hadoop MapReduce.

• It offers ease of use with high-level APIs in Java, Scala, Python, and SQL, making it accessible to a wide range of users.

• Spark is versatile, supporting various workloads such as batch proces...read more
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Q4. Why to leave the company
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Q5. Huddles of data engineer
Ans. 
Huddles of data engineers refer to collaborative meetings or discussions among data engineers to share insights, solve problems, and make decisions.
• Huddles are typically informal and can be scheduled or ad-hoc.

• They provide a platform for data engineers to brainstorm, troubleshoot, and exchange ideas.

• Huddles may involve reviewing code, discussing data pipelines, or addressing technical challenges.

• Effective huddles promo...read more
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Q1. Python and sql related question
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Q1. Pandas numpy visualisation sql
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Alteryx data processing and reporting

Online aptitude test with maths and statistics and data analysis

Q1. Joins sql groups python numpy pandas
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Q1. What is star topology
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Q2. Hybrid topology
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Logical,verbal,quants

Q1. What is lambda function
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Q2. What is subquary
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Q1. How to perform Set Actions, LOD's
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