Data Engineering UNIT-II

Which of the following is NOT part of the Data Engineering Life Cycle?

• Data Generation

• Data Serving

• Data Labeling

• Data Ingestion

What is the primary function of data ingestion?

• Data transformation

• Loading data from source systems

• Creating machine learning models

• Visualizing data

Which of the following is an example of a source system?

• Power BI

• APIs

• Jupyter Notebook

• Excel

What is the purpose of a data warehouse?

• To store raw data in an unstructured format

• To process and analyze structured data for business intelligence

• To generate images for deep learning models

• To replace relational databases

Which of the following is a major undercurrent across the Data Engineering Life Cycle?

• Security

• DataOps

• Orchestration

• All of the above

What is Data Orchestration?

• The process of creating machine learning models

• Managing and automating data workflows

• Writing SQL queries

• None of the above
  

Which process transforms raw data into meaningful insights?

• Data Cleaning

• Data Transformation

• Data Collection

• Data Visualization

Which phase ensures that only high-quality data is used in data pipelines?

• Data Storage

• Data Cleaning

• Data Serving

• Data Modeling

Why is Security important in Data Engineering?

• To protect data from unauthorized access

• To create better dashboards

• To improve data visualization

• To reduce the storage cost

Which of the following is a challenge in the Data Engineering Life Cycle?

• Ensuring data quality

• Managing data security

• Handling large volumes of data

• All of the above