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NTT Data ETL Tester Interview Questions and Answers

Updated 1 Jul 2024

NTT Data ETL Tester Interview Experiences

1 interview found

ETL Tester Interview Questions & Answers

user image Anonymous

posted on 1 Jul 2024

Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - One-on-one 

(3 Questions)

  • Q1. Sql Quires related question.
  • Q2. Data ware house related question
  • Q3. What is entry criteria & exit criteria
  • Ans. 

    Entry criteria and exit criteria are conditions that must be met before and after testing, respectively.

    • Entry criteria are the conditions that must be fulfilled before testing can begin

    • Exit criteria are the conditions that must be fulfilled before testing can be considered complete

    • Entry criteria can include having test data ready, test environment set up, and test cases prepared

    • Exit criteria can include all test cases ...

  • Answered by AI

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
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
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
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

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

Round 1 - Technical 

(1 Question)

  • Q1. What is referential integrity
  • Ans. 

    Referential integrity ensures that relationships between tables are maintained in a database.

    • It ensures that foreign key values in one table match primary key values in another table.

    • It helps maintain consistency and accuracy of data in the database.

    • If a foreign key value is deleted or updated, the corresponding primary key value should also be updated or deleted to maintain integrity.

  • Answered by AI
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(1 Question)

  • Q1. Types of schema
  • Ans. 

    Types of schema include star schema, snowflake schema, and fact constellation schema.

    • Star schema: central fact table connected to dimension tables in a star-like structure.

    • Snowflake schema: normalized form of star schema with dimension tables further normalized.

    • Fact constellation schema: multiple fact tables share dimension tables.

  • Answered by AI
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.
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(1 Question)

  • Q1. Current Project explanation, MDM process, ETL Transformation rules, Rank and dense rank, and SQL Questions on all the Joins

I applied via Company Website and was interviewed in Feb 2021. There were 3 interview rounds.

Interview Questionnaire 

2 Questions

  • Q1. Data warehouse,data mart,
  • Q2. SQL is the key to clear the interview

Interview Preparation Tips

Interview preparation tips for other job seekers - Basic should be clear.

NTT Data Interview FAQs

How many rounds are there in NTT Data ETL Tester interview?
NTT Data interview process usually has 1 rounds. The most common rounds in the NTT Data interview process are One-on-one Round.
What are the top questions asked in NTT Data ETL Tester interview?

Some of the top questions asked at the NTT Data ETL Tester interview -

  1. What is entry criteria & exit crite...read more
  2. Data ware house related quest...read more
  3. Sql Quires related questi...read more

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