wayground logo

Free Printable Worksheets

NEW

Font size

S
M
L
XL
Worksheets

Refresh your knowledge in DE

Total questions: 18

Worksheet time: 10mins

Name
Class
Date
1.

When is ELT better than ETL?

a)

With cloud data warehouses

b)

With on-premise databases

c)

When transforming before loading

d)

When no transformation is needed

2.

What is a common issue when handling large-scale distributed data?

a)

High network latency

b)

Lack of storage space

c)

Excessive manual data entry

d)

Too many relational tables

3.

What is a primary goal of data normalization?

a)

Increase storage usage

b)

Reduce redundancy

c)

Speed up queries

d)

Remove all primary keys

4.

Which data processing model is best for handling large-scale batch data?

a)

Event-driven

b)

Lambda

c)

OLAP

d)

OLTP

5.

Which tool is commonly used for building ETL pipelines?

a)

Apache Kafka

b)

Apache Airflow

c)

Elasticsearch

d)

Apache NIFI

6.

What is the main drawback of data denormalization?

a)

Increased redundancy

b)

Slower queries

c)

More complex joins

d)

Loss of integrity

7.

Which SQL technique improves query performance on large tables?

a)

Joins

b)

Indexing

c)

Normalization

d)

CTEs

8.

What is a key benefit of a data catalog?

a)

Improves query speed

b)

Stores raw data

c)

Tracks metadata and lineage

d)

Automates ETL jobs

9.

Which architecture best supports decentralized data ownership?

a)

OLAP

b)

Data Lake

c)

Data Mesh

d)

Data Warehouse

10.

What is the main trade-off when using materialized views?

a)

Faster reads, but higher storage cost

b)

Slower reads, but less storage usage

c)

Requires primary keys

d)

Reduces data redundanc

11.

What is the main advantage of data modeling?

a)

Makes data real-time

b)

Eliminates data redundancy completely

c)

Reduces the need for storage

d)

Improves query performance

12.

What is the primary use of Azure Data Factory?

a)

Real-time analytics

b)

ETL & data integration

c)

Data storage

d)

Machine learning

13.

Which service is best for big data processing on Azure?

a)

SQL Dedicated Pool

b)

Azure Analysis Services

c)

Azure Databricks

d)

Azure Synapse

14.

Which engine powers Azure Databricks?

a)

Hadoop

b)

Apache Spark

c)

Hive

d)

Apache iceberg

15.

Which tool is best for orchestrating complex data pipelines in Azure?

a)

SQL Dedicated Pool

b)

Azure Analysis Services

c)

Azure Data Factory

d)

Azure Data Lake

16.

Which service supports real-time stream processing in Azure?

a)

Azure Data Factory

b)

Azure Analysis Services

c)

SQL Dedicated Pool

d)

Azure Databricks

17.

Bonus question :)
What is the main advantage of using Python’s logging module?

a)

Prevents code errors

b)

Increases execution speed

c)

Replaces print statements for debugging

d)

Improves API performance

18.

Bonus question :)
What is the main purpose of a window function in SQL?

a)

Filter data like WHERE and HAVING

b)

Speed up queries by indexing data

c)

Aggregate data without collapsing rows

d)

Perform row-by-row operations like loops