Data Engineering Life Cycle

What is the purpose of a data warehouse in data engineering?

• Real-time data processing

• Data storage for business analytics

• Data transformation for machine learning

• Data visualization for stakeholders

Which tool is commonly used for data integration in data engineering?

• Apache NiFi

• Amazon S3

• Microsoft Excel

• Google BigQuery

What is the primary benefit of using ETL processes in data engineering?

• Faster data retrieval

• Reduced storage costs

• Improved data quality

• Enhanced data visualization

Which of the following is a popular framework for big data processing?

• Apache Hadoop

• Microsoft Power BI

• Tableau

• Oracle Database

What is the main function of a data lake in data engineering?

• Data analysis and reporting

• Data cleaning and transformation

• Unstructured data storage

• Structured data storage

What technology is commonly used for distributed storage and processing of big data in data engineering?

• Apache Kafka

• Amazon Redshift

• Apache Spark

• Microsoft Excel

Which of the following is a key benefit of using cloud storage in data engineering?

• Increased latency

• Scalability

• Limited accessibility

• Higher costs

What is the primary role of a data pipeline in data engineering?

• Data analysis

• Data storage

• Data ingestion and processing

• Data visualization

Which programming language is widely used for data manipulation in data engineering?

• Python

• Java

• Ruby

• C++

Which of the following is a common use case for data lakes?

• Storing structured data only

• Real-time analytics

• Data warehousing

• Storing large volumes of unstructured data