Data Architecture

Which of the following best describes a Data Lake?

• A structured database optimized for OLTP transactions

• A centralized repository for unstructured data at any scale

• A collection of tables with predefined schemas

• A data warehouse designed for business intelligence

What technology is commonly used for data integration in modern data architectures?

• ETL (Extract, Transform, Load)

• SQL (Structured Query Language)

• OLAP (Online Analytical Processing)

• CSV (Comma-Separated Values)

What is a primary benefit of using a Data Warehouse?

• Direct integration with cloud storage solutions

• Enhanced data analytics and reporting capabilities

• Support for large volumes of unstructured data

• Real-time data processing

Which of the following is a key characteristic of NoSQL databases?

• They use fixed schemas

• They are designed for horizontal scalability

• They are primarily used for OLTP systems

• They support only SQL queries

What is the primary difference between ETL and ELT?

• ETL processes data after loading, while ELT transforms data before loading

• ELT processes data in the target system, whereas ETL transforms data before loading

• ETL is faster than ELT in cloud environments

• ELT is not used in modern data architectures

What is a common challenge faced when implementing a Data Warehouse?

• High costs of cloud storage

• Inability to handle structured data

• Limited data storage capacity

• Data redundancy and inconsistency

What is a key advantage of using cloud-based data storage solutions?

• Mandatory data encryption at rest

• Lower latency for data retrieval

• Scalability and flexibility in resource allocation

• Increased physical security of data centers

Which of the following best describes Apache Hive?

• A distributed SQL query engine for large datasets stored in Hadoop

• A NoSQL database optimized for high-speed transactions

• A data warehouse running on Google Cloud

• A real-time data processing framework

What is a common use case for a Data Lake?

• Storing structured data for transactional processing

• Running real-time analytics on streaming data

• Analyzing large volumes of unstructured data

• Archiving historical data for compliance

What is a significant advantage of using OLAP systems?

• Ability to perform complex queries on large datasets

• Real-time data ingestion and processing

• Strict adherence to relational database principles

• Support for high-speed transaction processing