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20+ Accenture Data Analyst Interview Questions and Answers

Updated 16 Jan 2025

Q1. Do you have any experience working in cloud environments?

Ans.

Yes, I have experience working in cloud environments.

  • I have worked with AWS, Azure, and Google Cloud Platform.

  • I have experience with cloud-based data storage and processing.

  • I have used cloud-based tools for data visualization and analysis.

  • I am familiar with cloud security and compliance measures.

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Q2. What are OOPS? 4 Pillar of OOPS? Polymorphism? Code: Sort an array in either ascending or descending order

Ans.

OOPS stands for Object-Oriented Programming. The 4 pillars of OOPS are Inheritance, Encapsulation, Abstraction, and Polymorphism.

  • OOPS stands for Object-Oriented Programming

  • 4 pillars of OOPS are Inheritance, Encapsulation, Abstraction, and Polymorphism

  • Polymorphism allows objects of different classes to be treated as objects of a common superclass

  • Example: Sorting an array of strings in ascending order - ['apple', 'banana', 'cherry']

  • Example: Sorting an array of strings in descen...read more

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Q3. Do you have experience working in cloud environments?

Ans.

Yes, I have experience working in cloud environments.

  • I have worked with AWS, Azure, and Google Cloud Platform.

  • I have experience with cloud-based data storage and processing.

  • I have used cloud-based tools for data visualization and analysis.

  • I am familiar with cloud security and compliance measures.

Add your answer
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Q4. What is the difference between hashmap and hashtable?

Ans.

HashMap and HashTable are both data structures used to store key-value pairs, but HashMap is not synchronized and allows null keys/values.

  • HashMap is not synchronized, while HashTable is synchronized.

  • HashMap allows null keys and values, while HashTable does not.

  • HashMap is faster than HashTable for most operations.

  • HashMap is part of the Java Collections Framework, while HashTable is a legacy class.

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Q5. How can you change many to many relationshiops in PowerBI to one to many

Ans.

To change many to many relationships in PowerBI to one to many, you can create a bridge table or use DAX measures.

  • Create a bridge table to connect the two tables with a one to many relationship

  • Use DAX measures to aggregate data from the many to many relationship

  • Normalize the data model by breaking down the many to many relationship into two one to many relationships

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Q6. How do you manage competing priorities or requests?

Ans.

I prioritize tasks based on deadlines and importance, communicate with stakeholders, and adjust timelines if necessary.

  • Prioritize tasks based on deadlines and importance

  • Communicate with stakeholders to manage expectations

  • Adjust timelines if necessary to accommodate competing priorities

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Q7. explain your framework, types of waits and all other selenium commands,

Ans.

Selenium is a tool used for automating web applications testing. Waits are used to synchronize tests with the application state.

  • Selenium framework includes TestNG, JUnit, etc. for test execution and reporting

  • Types of waits in Selenium include Implicit Wait, Explicit Wait, and Fluent Wait

  • Selenium commands include findElement(), sendKeys(), click(), getText(), etc.

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Q8. What is the difference between OLAP and OLTP?

Ans.

OLAP is used for analyzing historical data while OLTP is used for managing real-time transactional data.

  • OLAP stands for Online Analytical Processing and is used for data analysis and reporting.

  • OLTP stands for Online Transactional Processing and is used for managing real-time transactional data.

  • OLAP databases are optimized for read-heavy workloads and complex queries.

  • OLTP databases are optimized for write-heavy workloads and simple queries.

  • Examples of OLAP tools include Micros...read more

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Q9. What are time shift timings

Ans.

Time shift timings refer to the difference in time between two events or data points.

  • Time shift timings are used to analyze trends and patterns over time.

  • They can be calculated by subtracting the time of one event or data point from another.

  • For example, the time shift between two stock market closing prices can be used to analyze market trends.

  • Time shift timings can also be used in forecasting and predictive modeling.

  • They are important in fields such as finance, economics, an...read more

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Q10. Mention what is Active Directory

Ans.

Active Directory is a directory service developed by Microsoft for Windows domain networks.

  • Centralized database for managing network resources

  • Stores information about users, computers, and other network objects

  • Allows administrators to control access and permissions

  • Facilitates single sign-on for users across different applications

  • Supports group policies for managing security settings

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Q11. Write an SQL query using window function?

Ans.

SQL query using window function

  • Use the OVER() clause to define the window frame

  • Common window functions include ROW_NUMBER(), RANK(), DENSE_RANK(), and NTILE()

  • Example: SELECT column1, column2, ROW_NUMBER() OVER(ORDER BY column1) AS row_num FROM table_name

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Q12. What are the main KPI’s

Ans.

Key Performance Indicators (KPIs) are measurable values that demonstrate how effectively a company is achieving key business objectives.

  • KPIs should be specific, measurable, achievable, relevant, and time-bound (SMART)

  • Examples of KPIs include revenue growth rate, customer acquisition cost, customer retention rate, and conversion rate

  • KPIs vary depending on the industry and business goals

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Q13. explain how would you query in pandas

Ans.

Querying in pandas involves using functions like .loc, .iloc, and .query to filter and manipulate data.

  • Use .loc to select rows and columns by labels

  • Use .iloc to select rows and columns by index positions

  • Use .query to filter rows based on a boolean expression

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Q14. What is Composite Key ?

Ans.

A composite key is a combination of two or more columns in a database table that uniquely identifies each row.

  • Composite keys are used when a single column cannot uniquely identify a row.

  • They are created by combining multiple columns together.

  • Example: a table tracking student enrollments may use a composite key of student ID and course ID.

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Q15. What is Circular Loop ?

Ans.

A circular loop is a closed path in which the end points are connected to form a circle.

  • A circular loop can be found in electrical circuits where current flows continuously in a closed path.

  • Circular loops are commonly used in magnetic fields to demonstrate the concept of magnetic flux.

  • Circular loops can also refer to physical objects like a hula hoop or a circular roller coaster track.

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Q16. what does covariance mean

Ans.

Covariance measures the relationship between two variables, indicating whether they vary together or in opposite directions.

  • Covariance can be positive, negative, or zero.

  • A positive covariance indicates that as one variable increases, the other variable also tends to increase.

  • A negative covariance indicates that as one variable increases, the other variable tends to decrease.

  • A covariance of zero indicates that there is no linear relationship between the variables.

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Q17. Technologies used in the project.

Ans.

The project utilized a variety of technologies including Python, SQL, Tableau, and Excel.

  • Python

  • SQL

  • Tableau

  • Excel

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Q18. What is your motiavtion?

Ans.

My motivation stems from a passion for uncovering insights from data and making a positive impact through data-driven decisions.

  • Passion for uncovering insights from data

  • Desire to make a positive impact through data-driven decisions

  • Enjoyment of problem-solving and analytical challenges

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Q19. What is enumeration

Ans.

Enumeration is the process of listing items in a specific order or sequence.

  • Enumeration is commonly used in programming to iterate through a list of items.

  • It helps in organizing and categorizing data for analysis.

  • Examples include counting the number of occurrences of specific values in a dataset.

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Q20. Pyspark functions used in project

Ans.

Various Pyspark functions used in a project

  • filter() - used to filter out rows based on a condition

  • groupBy() - used to group data based on a column

  • agg() - used for aggregation functions like sum, avg, etc.

  • join() - used to join two DataFrames based on a key column

  • select() - used to select specific columns from a DataFrame

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Q21. What is testing

Ans.

Testing is the process of evaluating a system or component to determine if it meets specified requirements.

  • Testing involves executing a system or component with the intent of finding defects.

  • Types of testing include unit testing, integration testing, system testing, and acceptance testing.

  • Testing helps ensure that the software or system functions correctly and meets user expectations.

  • Examples of testing tools include Selenium for automated web testing and JUnit for Java unit ...read more

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Q22. What is powerbi

Ans.

Power BI is a business analytics tool by Microsoft that provides interactive visualizations and business intelligence capabilities.

  • Power BI is a data visualization tool used to create interactive reports and dashboards.

  • It allows users to connect to various data sources, clean and transform data, and create visually appealing reports.

  • Users can share and collaborate on reports with others, and access them on multiple devices.

  • Power BI offers a wide range of visualization options...read more

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Q23. type 1 error in statistics

Ans.

Type 1 error occurs when a true null hypothesis is incorrectly rejected.

  • Occurs when the null hypothesis is true but is rejected

  • Also known as a false positive

  • Denoted by alpha (α) in hypothesis testing

  • Example: Concluding a new drug is effective when it actually isn't

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Q24. ETL Process explaination

Ans.

ETL process involves extracting data from various sources, transforming it to fit business needs, and loading it into a target database.

  • Extract data from multiple sources such as databases, files, APIs, etc.

  • Transform the data by cleaning, filtering, aggregating, and structuring it.

  • Load the transformed data into a target database or data warehouse.

  • ETL tools like Informatica, Talend, and SSIS are commonly used for this process.

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Q25. Overall learning walkthrough

Ans.

The overall learning walkthrough is a comprehensive explanation of the learning process.

  • Explain the steps involved in the learning process

  • Discuss the importance of continuous learning

  • Highlight any specific techniques or tools used for learning

  • Provide examples of how learning has helped in previous projects

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Interview Process at Accenture Data Analyst

based on 62 interviews
4 Interview rounds
Technical Round
HR Round - 1
HR Round - 2
HR Round - 3
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