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Norstella ETL Tester Interview Questions and Answers

Updated 10 Jan 2025

Norstella ETL Tester Interview Experiences

Interview questions from similar companies

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
-
Result
Not Selected

I applied via Recruitment Consulltant and was interviewed in Sep 2024. There was 1 interview round.

Round 1 - Technical 

(4 Questions)

  • Q1. What is the Difference Between Drop and Truncate Command ?
  • Ans. 

    Drop command deletes the table structure along with data, while truncate command deletes only the data.

    • Drop command removes the table structure and all its data, while truncate command only removes the data but keeps the table structure intact.

    • Drop command is a DDL (Data Definition Language) command, while truncate command is a DML (Data Manipulation Language) command.

    • Drop command is slower than truncate command as it ...

  • Answered by AI
  • Q2. What are the Validations you Perform in your Project ?
  • Ans. 

    In my project, I perform validations such as data completeness, data accuracy, data transformation, and data integrity checks.

    • Data completeness checks to ensure all required fields are populated

    • Data accuracy checks to verify the correctness of data

    • Data transformation checks to validate the transformation rules are applied correctly

    • Data integrity checks to maintain data consistency and reliability

  • Answered by AI
  • Q3. What is Star Schema and Snow flake schema ?
  • Ans. 

    Star Schema is a type of database schema where a central fact table is connected to multiple dimension tables. Snowflake Schema is a normalized form of Star Schema where dimension tables are further normalized into sub-dimension tables.

    • Star Schema has a central fact table connected to multiple dimension tables

    • Snowflake Schema is a normalized form of Star Schema with sub-dimension tables

    • Star Schema is denormalized for b...

  • Answered by AI
  • Q4. What is Fact and Dimension Tables
  • Ans. 

    Fact tables contain quantitative data while dimension tables contain descriptive attributes.

    • Fact tables store measurable, quantitative data such as sales revenue or quantity sold

    • Dimension tables store descriptive attributes related to the data in the fact table, such as product name or customer details

    • Fact tables are typically normalized while dimension tables are denormalized for easier querying

    • Example: In a sales dat...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Be Clear on Basics in First Round then go more Deeper in SQL Part for ETL Testers in Round 2

Skills evaluated in this interview

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I was interviewed in Nov 2024.

Round 1 - Technical 

(2 Questions)

  • Q1. Append a item in tuple
  • Q2. How to validate response body in api in restapi
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
No response

I applied via Naukri.com and was interviewed in Aug 2024. There was 1 interview round.

Round 1 - Technical 

(4 Questions)

  • Q1. Explain project architecture?
  • Ans. 

    Project architecture refers to the overall structure of a software project, including components, modules, and their interactions.

    • Project architecture defines how different components of a software project are organized and interact with each other.

    • It includes the high-level design of the system, such as the database structure, data flow, and integration points.

    • Project architecture also involves decisions on technologi...

  • Answered by AI
  • Q2. Explain challenges you faced in etl testing?
  • Ans. 

    Challenges in ETL testing include data quality issues, complex transformations, and handling large volumes of data.

    • Data quality issues such as missing or incorrect data can impact testing results

    • Complex transformations can be difficult to validate and may lead to errors in the ETL process

    • Handling large volumes of data can slow down testing processes and require efficient testing strategies

  • Answered by AI
  • Q3. What are roles and responsibilities?
  • Ans. 

    Roles and responsibilities refer to the tasks and duties assigned to an individual within a specific job or position.

    • Roles define the position or job title of an individual within an organization.

    • Responsibilities outline the specific tasks, duties, and expectations associated with that role.

    • Roles and responsibilities help clarify expectations, define boundaries, and ensure accountability.

    • Examples include testing data e...

  • Answered by AI
  • Q4. How to find duplicate values in python?
  • Ans. 

    Use a dictionary to find duplicate values in an array of strings in Python.

    • Create an empty dictionary to store the count of each string in the array.

    • Iterate through the array and for each string, check if it exists in the dictionary. If it does, increment the count. If not, add it to the dictionary with a count of 1.

    • After iterating through the array, check the dictionary for any strings with a count greater than 1. The

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - ETL Concepts, Datawarehouse concepts and Python also must required

Skills evaluated in this interview

Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
Selected Selected

I applied via Naukri.com and was interviewed in Jul 2024. There were 2 interview rounds.

Round 1 - Technical 

(10 Questions)

  • Q1. Write an SQL query to fetch 5th ,10th,15th .. records from a table?
  • Ans. 

    Use OFFSET and FETCH in SQL to retrieve specific records from a table.

    • Use OFFSET to skip the first n-1 records

    • Use FETCH to limit the number of records to be retrieved

    • Example: SELECT * FROM table_name OFFSET 4 ROWS FETCH NEXT 5 ROWS ONLY

  • Answered by AI
  • Q2. What are constraints?
  • Ans. 

    Constraints are rules or conditions that must be followed in order to ensure data integrity and accuracy.

    • Constraints define the limits or restrictions on data values in a database table

    • Examples of constraints include primary key, foreign key, unique key, and check constraints

    • Constraints help maintain data quality and consistency in a database

  • Answered by AI
  • Q3. What is Low Priority , Medium Priority & High priority defects?
  • Ans. 

    Low, Medium, and High priority defects are categorized based on their impact on the system and urgency of fixing.

    • Low priority defects are minor issues that do not significantly impact the system's functionality.

    • Medium priority defects are issues that have a noticeable impact on the system but are not critical.

    • High priority defects are critical issues that severely impact the system's functionality and need immediate at...

  • Answered by AI
  • Q4. White box , Black Box ,regression , Retesting?
  • Q5. Joins ? with example
  • Ans. 

    Joins are used to combine rows from two or more tables based on a related column between them.

    • Joins are used in SQL to retrieve data from multiple tables based on a related column.

    • Common types of joins include INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL JOIN.

    • Example: SELECT * FROM table1 INNER JOIN table2 ON table1.column = table2.column;

  • Answered by AI
  • Q6. Window function queries?
  • Q7. Domain name from an email ?
  • Ans. 

    A domain name from an email refers to the part after the @ symbol in an email address.

    • The domain name is typically the name of the organization or service provider associated with the email address.

    • For example, in the email address example@gmail.com, 'gmail.com' is the domain name.

  • Answered by AI
  • Q8. Rank dense_rank() ,row_numebr with example?
  • Ans. 

    dense_rank() assigns a unique rank to each distinct row, row_number() assigns a unique sequential integer to each row.

    • dense_rank() is used to assign a unique rank to each distinct row based on the specified order.

    • row_number() is used to assign a unique sequential integer to each row in the result set.

    • Example: dense_rank() - SELECT dense_rank() OVER (ORDER BY salary) AS rank FROM employees;

    • Example: row_number() - SELECT...

  • Answered by AI
  • Q9. SCD Types , Star Schema Vs SnowFlake Schema
  • Ans. 

    SCD types refer to slowly changing dimensions in data warehousing. Star schema is denormalized while snowflake schema is normalized.

    • SCD types refer to how dimensions change over time in a data warehouse

    • Type 1: Overwrite existing data with new data

    • Type 2: Keep track of historical data with new records

    • Type 3: Keep track of some historical data with limited history

    • Star schema is denormalized with a central fact table conn...

  • Answered by AI
  • Q10. Group by clause and how it work with a query
  • Ans. 

    Group by clause is used in SQL to group rows that have the same values into summary rows.

    • Group by clause is used with aggregate functions like SUM, COUNT, AVG, etc.

    • It is used to group rows based on one or more columns specified in the query.

    • Group by clause must be used after the WHERE clause and before the ORDER BY clause.

    • Example: SELECT department, COUNT(*) FROM employees GROUP BY department;

  • Answered by AI
Round 2 - HR 

(4 Questions)

  • Q1. Salary expectations
  • Q2. Where do you see yourself in 5 years
  • Q3. Reason for job switch?
  • Ans. 

    Seeking new challenges and growth opportunities in a different environment.

    • Desire for career advancement

    • Interest in learning new technologies

    • Seeking a more challenging role

    • Company restructuring or downsizing

    • Relocation to a different city

  • Answered by AI
  • Q4. Strengths & weakness ?
  • Ans. 

    My strengths include attention to detail and problem-solving skills. My weakness is sometimes being too critical of my own work.

    • Strength: Attention to detail - I always ensure that all aspects of the testing process are thoroughly checked.

    • Strength: Problem-solving skills - I am able to quickly identify and resolve issues that arise during testing.

    • Weakness: Being too critical of my own work - I sometimes spend too much

  • Answered by AI

Skills evaluated in this interview

Interview experience
3
Average
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
No response

I applied via LinkedIn and was interviewed in Nov 2024. There was 1 interview round.

Round 1 - Technical 

(2 Questions)

  • Q1. What is deferred bug
  • Ans. 

    A deferred bug is a bug that is not fixed immediately but is scheduled to be fixed in a future release.

    • Deferred bugs are usually lower priority bugs that do not impact the core functionality of the system.

    • These bugs are documented and tracked for resolution in a later release.

    • Examples of deferred bugs include cosmetic issues, minor usability problems, or non-critical functionality issues.

  • Answered by AI
  • Q2. Query to get 4th highest row based on a column
  • Ans. 

    Use SQL query with ORDER BY and LIMIT to get 4th highest row based on a column

    • Use ORDER BY clause to sort the column in descending order

    • Use LIMIT 1 OFFSET 3 to get the 4th highest row

    • Example: SELECT * FROM table_name ORDER BY column_name DESC LIMIT 1 OFFSET 3

  • Answered by AI

ETL Tester Interview Questions & Answers

TCS user image Praveen Sekar

posted on 6 Jan 2025

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Naukri.com and was interviewed in Dec 2024. There was 1 interview round.

Round 1 - Technical 

(2 Questions)

  • Q1. SQL Basics and advanced
  • Q2. Pyspark questions
Interview experience
3
Average
Difficulty level
Easy
Process Duration
2-4 weeks
Result
-

I applied via Naukri.com and was interviewed in Mar 2024. There was 1 interview round.

Round 1 - Technical 

(4 Questions)

  • Q1. Explain inner join with an example
  • Ans. 

    Inner join combines rows from two tables based on a related column between them.

    • Inner join returns only the rows that have matching values in both tables

    • It is used to retrieve data that exists in both tables

    • Example: SELECT Orders.OrderID, Customers.CustomerName FROM Orders INNER JOIN Customers ON Orders.CustomerID = Customers.CustomerID;

  • Answered by AI
  • Q2. Explain cross join with an example
  • Ans. 

    Cross join combines each row from one table with each row from another table.

    • Cross join produces a Cartesian product of the two tables involved.

    • It does not require any common columns between the two tables.

    • It can result in a large number of rows if the tables are big.

    • Example: SELECT * FROM table1 CROSS JOIN table2;

  • Answered by AI
  • Q3. Provided Employee Table and asked to do a self join
  • Q4. Explain different types of data validation and checks performed in ETL testing
  • Ans. 

    Different types of data validation and checks in ETL testing include schema validation, data completeness checks, data transformation checks, and data quality checks.

    • Schema validation ensures that the data conforms to the expected structure and format.

    • Data completeness checks verify that all expected data is present and accounted for.

    • Data transformation checks ensure that data is accurately transformed according to bus...

  • Answered by AI

Skills evaluated in this interview

Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. Etl tools and technologies
  • Q2. Types of scd dimensions
  • Ans. 

    Slowly Changing Dimensions (SCD) include Type 1, Type 2, and Type 3 dimensions.

    • Type 1: Overwrite existing data with new data, no history is kept.

    • Type 2: Create a new record for each change, maintaining history.

    • Type 3: Create a new attribute to store changes, keeping limited history.

  • Answered by AI

Skills evaluated in this interview

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
No response

I applied via Naukri.com and was interviewed in Jan 2024. There was 1 interview round.

Round 1 - Technical 

(1 Question)

  • Q1. Difference between snowflake schema and star schema
  • Ans. 

    Snowflake schema is a normalized form of star schema with additional dimension tables.

    • Snowflake schema is a data modeling technique used in data warehousing.

    • In snowflake schema, dimensions are normalized into multiple related tables.

    • Snowflake schema reduces redundancy and improves data integrity.

    • Star schema is a denormalized form of snowflake schema with a single dimension table.

    • In star schema, dimensions are not norma...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Stay clam and tell me the truth.

Norstella Interview FAQs

How many rounds are there in Norstella ETL Tester interview?
Norstella interview process usually has 1 rounds. The most common rounds in the Norstella interview process are One-on-one Round.

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