Accenture Data Engineer Analyst Interview Questions and Answers

Q1. They asked me regarding project
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Q2. Sql queries and data bricks related questions
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Q1. Details explaination on project that I have worked and optimization techniques
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Q1. What are different type of joins available in Databricks?
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Different types of joins available in Databricks include inner join, outer join, left join, right join, and cross join.
• Inner join: Returns only the rows that have matching values in both tables.

• Outer join: Returns all rows when there is a match in either table.

• Left join: Returns all rows from the left table and the matched rows from the right table.

• Right join: Returns all rows from the right table and the matched rows ...read more
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Q2. How do you make your data pipeline fault tolerant?
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Implementing fault tolerance in a data pipeline involves redundancy, monitoring, and error handling.
• Use redundant components to ensure continuous data flow

• Implement monitoring tools to detect failures and bottlenecks

• Set up automated alerts for immediate response to issues

• Design error handling mechanisms to gracefully handle failures

• Use checkpoints and retries to ensure data integrity
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Q3. What is AutoLoader?
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AutoLoader is a feature in data engineering that automatically loads data from various sources into a data warehouse or database.
• Automates the process of loading data from different sources

• Reduces manual effort and human error

• Can be scheduled to run at specific intervals

• Examples: Apache Nifi, AWS Glue
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Q1. How do you connect to different services in Azure?
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To connect to different services in Azure, you can use Azure SDKs, REST APIs, Azure Portal, Azure CLI, and Azure PowerShell.
• Use Azure SDKs for programming languages like Python, Java, C#, etc.

• Utilize REST APIs to interact with Azure services programmatically.

• Access and manage services through the Azure Portal.

• Leverage Azure CLI for command-line interface interactions.

• Automate tasks using Azure PowerShell scripts.
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Q2. What are linked Services?
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Linked Services are connections to external data sources or destinations in Azure Data Factory.
• Linked Services define the connection information needed to connect to external data sources or destinations.

• They can be used in Data Factory pipelines to read from or write to external systems.

• Examples of Linked Services include Azure Blob Storage, Azure SQL Database, and Amazon S3.
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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. What is your professional profile ?
Ans. 
I am a detail-oriented data entry operator with experience in accurately inputting and maintaining data in various systems.
• Proficient in data entry software and Microsoft Office Suite

• Strong attention to detail and accuracy

• Ability to prioritize and manage multiple tasks efficiently

• Experience in maintaining confidentiality of sensitive information
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Q2. What is your professional qualification?
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I have a Bachelor's degree in Computer Science with a focus on data management and analysis.
• Bachelor's degree in Computer Science

• Specialization in data management and analysis
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Q3. What is your background?
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I have a background in data entry and administrative work, with experience in accurately inputting and managing large amounts of information.
• Experience in data entry and administrative tasks

• Proficient in accurately inputting and managing large amounts of information

• Familiarity with data entry software and tools
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Q4. What is your current job salary?
Ans. 
I am currently earning $45,000 per year in my current job.
• My current job salary is $45,000 per year.

• I am satisfied with my current salary.

• I am open to discussing salary expectations for this position.
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Q1. What are the optimization techniques used in Apache Spark?
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Q2. 2 SQL queries , 1 PySpark code and 1 Python Code .
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Q3. 2-3 Scenario Based questions from ADF and databricks .
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Q1. What is the importance of data analysis?
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Q2. What steps should be taken to become a data analyst?
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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,?
Ans. 
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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Online aptitude test with maths and statistics and data analysis

Q1. Joins sql groups python numpy pandas
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