Question 1

What is an ETL pipeline?

Accepted Answer

This is an MCQ screening question. The options are A) A deployment process, B) Extract, Transform, Load — moving and preparing data, C) A cloud database, D) A frontend tool. The correct answer is B. The suggested knockout rule is: 'Wrong = Hard Knockout'.

Question 2

What is Apache Spark used for?

Accepted Answer

This is an MCQ screening question. The options are A) Frontend development, B) Large-scale distributed data processing, C) Database management, D) API development. The correct answer is B. The suggested knockout rule is: 'Wrong = Knockout for big data roles'.

Question 3

What is a data warehouse?

Accepted Answer

This is an MCQ screening question. The options are A) A physical storage room, B) A system for storing and analyzing large volumes of structured data, C) A file storage system, D) A NoSQL database. The correct answer is B. The suggested knockout rule is: 'Wrong = Knockout'.

Question 4

What is the difference between a data lake and a data warehouse?

Accepted Answer

This is an MCQ screening question. The options are A) No difference, B) A data lake stores raw data; a warehouse stores processed structured data, C) A warehouse is cheaper, D) A data lake is faster. The correct answer is B. The suggested knockout rule is: 'Wrong = Knockout'.

Question 5

What does partitioning a table in a database do?

Accepted Answer

This is an MCQ screening question. The options are A) Deletes old data, B) Divides a large table into smaller parts to improve query performance, C) Backs up the data, D) Encrypts the table. The correct answer is B. The suggested knockout rule is: 'Wrong = Red flag'.

Question 6

What is Apache Kafka used for?

Accepted Answer

This is an MCQ screening question. The options are A) Running ML models, B) Real-time data streaming between systems, C) Database management, D) Writing SQL queries. The correct answer is B. The suggested knockout rule is: 'Wrong = Knockout for streaming roles'.

Question 7

What is dbt (data build tool) used for?

Accepted Answer

This is an MCQ screening question. The options are A) Deploying applications, B) Transforming data inside the data warehouse using SQL, C) Managing cloud costs, D) Running containers. The correct answer is B. The suggested knockout rule is: 'Wrong = Red flag for modern data stacks'.

Question 8

What is a star schema in data modeling?

Accepted Answer

This is an MCQ screening question. The options are A) A cloud architecture, B) A data model with a central fact table surrounded by dimension tables, C) A database backup method, D) A streaming pattern. The correct answer is B. The suggested knockout rule is: 'Wrong = Knockout'.

Question 9

What is BigQuery?

Accepted Answer

This is an MCQ screening question. The options are A) A SQL editor, B) Google Cloud's serverless data warehouse, C) A data pipeline tool, D) An ML platform. The correct answer is B. The suggested knockout rule is: 'Wrong = Knockout for GCP stacks'.

Question 10

What does data lineage mean?

Accepted Answer

This is an MCQ screening question. The options are A) Cleaning data, B) Tracking the origin and movement of data through pipelines, C) Storing data in a lake, D) Encrypting data. The correct answer is B. The suggested knockout rule is: 'Wrong = Red flag'.

Question 11

What is the purpose of Apache Airflow?

Accepted Answer

This is an MCQ screening question. The options are A) Frontend deployment, B) Orchestrating and scheduling data pipelines, C) Writing SQL queries, D) Managing containers. The correct answer is B. The suggested knockout rule is: 'Wrong = Knockout'.

Question 12

What is data normalization?

Accepted Answer

This is an MCQ screening question. The options are A) Encrypting data, B) Organizing data to reduce redundancy and improve integrity, C) Backing up a database, D) Indexing tables. The correct answer is B. The suggested knockout rule is: 'Wrong = Red flag'.

Question 13

What is Snowflake?

Accepted Answer

This is an MCQ screening question. The options are A) A weather app, B) A cloud-based data warehousing platform, C) A data streaming tool, D) A BI tool. The correct answer is B. The suggested knockout rule is: 'Wrong = Knockout for Snowflake stacks'.

Question 14

What is a slowly changing dimension (SCD)?

Accepted Answer

This is an MCQ screening question. The options are A) A fast database, B) A method for handling changes in dimension data over time, C) A streaming tool, D) A schema type. The correct answer is B. The suggested knockout rule is: 'Wrong = Red flag for senior data engineers'.

Question 15

What is the role of a data catalog?

Accepted Answer

This is an MCQ screening question. The options are A) Writing SQL, B) Documenting and discovering available data assets in an organization, C) Running pipelines, D) Storing raw data. The correct answer is B. The suggested knockout rule is: 'Wrong = Red flag'.

Question 16

What does 'schema-on-read' mean?

Accepted Answer

This is an MCQ screening question. The options are A) Defining schema before storing, B) Applying schema when reading data, not when storing it, C) A database type, D) A normalization method. The correct answer is B. The suggested knockout rule is: 'Wrong = Red flag'.

Question 17

What is Redshift?

Accepted Answer

This is an MCQ screening question. The options are A) A monitoring tool, B) Amazon's cloud data warehouse service, C) A frontend framework, D) A data streaming tool. The correct answer is B. The suggested knockout rule is: 'Wrong = Knockout for AWS stacks'.

Question 18

What is data quality monitoring?

Accepted Answer

This is an MCQ screening question. The options are A) Deleting bad data, B) Continuously checking data for accuracy, completeness, and consistency, C) Backing up data, D) Encrypting pipelines. The correct answer is B. The suggested knockout rule is: 'Wrong = Red flag'.

Question 19

What is a medallion architecture? (Bronze, Silver, Gold)

Accepted Answer

This is an MCQ screening question. The options are A) A cloud cost model, B) A multi-layer data lake design pattern for progressively refining data, C) A database backup strategy, D) A streaming pattern. The correct answer is B. The suggested knockout rule is: 'Wrong = Red flag for modern data platforms'.

Question 20

What does ELT differ from ETL in?

Accepted Answer

This is an MCQ screening question. The options are A) Nothing, B) In ELT, data is loaded first then transformed inside the warehouse, C) ELT is faster always, D) ETL uses more storage. The correct answer is B. The suggested knockout rule is: 'Wrong = Knockout'.

MCQ Screening Questions for a Data Engineer

20 Knockout Questions for Data Engineers

Automate Your Data Engineer Screening

#	Question	A	B	C	D	Answer	Knockout Rule
1	What is an ETL pipeline?	A deployment process	Extract, Transform, Load — moving and preparing data	A cloud database	A frontend tool	B	Wrong = Hard Knockout
2	What is Apache Spark used for?	Frontend development	Large-scale distributed data processing	Database management	API development	B	Wrong = Knockout for big data roles
3	What is a data warehouse?	A physical storage room	A system for storing and analyzing large volumes of structured data	A file storage system	A NoSQL database	B	Wrong = Knockout
4	What is the difference between a data lake and a data warehouse?	No difference	A data lake stores raw data; a warehouse stores processed structured data	A warehouse is cheaper	A data lake is faster	B	Wrong = Knockout
5	What does partitioning a table in a database do?	Deletes old data	Divides a large table into smaller parts to improve query performance	Backs up the data	Encrypts the table	B	Wrong = Red flag
6	What is Apache Kafka used for?	Running ML models	Real-time data streaming between systems	Database management	Writing SQL queries	B	Wrong = Knockout for streaming roles
7	What is dbt (data build tool) used for?	Deploying applications	Transforming data inside the data warehouse using SQL	Managing cloud costs	Running containers	B	Wrong = Red flag for modern data stacks
8	What is a star schema in data modeling?	A cloud architecture	A data model with a central fact table surrounded by dimension tables	A database backup method	A streaming pattern	B	Wrong = Knockout
9	What is BigQuery?	A SQL editor	Google Cloud's serverless data warehouse	A data pipeline tool	An ML platform	B	Wrong = Knockout for GCP stacks
10	What does data lineage mean?	Cleaning data	Tracking the origin and movement of data through pipelines	Storing data in a lake	Encrypting data	B	Wrong = Red flag
11	What is the purpose of Apache Airflow?	Frontend deployment	Orchestrating and scheduling data pipelines	Writing SQL queries	Managing containers	B	Wrong = Knockout
12	What is data normalization?	Encrypting data	Organizing data to reduce redundancy and improve integrity	Backing up a database	Indexing tables	B	Wrong = Red flag
13	What is Snowflake?	A weather app	A cloud-based data warehousing platform	A data streaming tool	A BI tool	B	Wrong = Knockout for Snowflake stacks
14	What is a slowly changing dimension (SCD)?	A fast database	A method for handling changes in dimension data over time	A streaming tool	A schema type	B	Wrong = Red flag for senior data engineers
15	What is the role of a data catalog?	Writing SQL	Documenting and discovering available data assets in an organization	Running pipelines	Storing raw data	B	Wrong = Red flag
16	What does 'schema-on-read' mean?	Defining schema before storing	Applying schema when reading data, not when storing it	A database type	A normalization method	B	Wrong = Red flag
17	What is Redshift?	A monitoring tool	Amazon's cloud data warehouse service	A frontend framework	A data streaming tool	B	Wrong = Knockout for AWS stacks
18	What is data quality monitoring?	Deleting bad data	Continuously checking data for accuracy, completeness, and consistency	Backing up data	Encrypting pipelines	B	Wrong = Red flag
19	What is a medallion architecture? (Bronze, Silver, Gold)	A cloud cost model	A multi-layer data lake design pattern for progressively refining data	A database backup strategy	A streaming pattern	B	Wrong = Red flag for modern data platforms
20	What does ELT differ from ETL in?	Nothing	In ELT, data is loaded first then transformed inside the warehouse	ELT is faster always	ETL uses more storage	B	Wrong = Knockout