Data Processing Data Processing Tools and Technologies 1 — Questions and Answers
Question 1: What is Apache Spark primarily used for?
- Web server hosting
- Fast, distributed large-scale data processing in memory across a cluster (Correct answer)
- Email routing and filtering
- Compiling Java source code
Correct answer: Fast, distributed large-scale data processing in memory across a cluster
Apache Spark is an open-source distributed processing engine that performs in-memory batch and stream processing up to 100x faster than Hadoop MapReduce.
Question 2: What is Apache Kafka primarily used for?
- Running SQL queries on relational databases
- High-throughput distributed event streaming and message queuing (Correct answer)
- Generating machine learning models
- Building REST APIs
Correct answer: High-throughput distributed event streaming and message queuing
Apache Kafka is a distributed event streaming platform that handles millions of events per second for real-time data pipelines and stream processing.
Question 3: What does a message broker do in a data pipeline?
- Encrypts messages during transmission
- Routes and queues messages between producers and consumers to decouple systems (Correct answer)
- Compresses messages for long-term storage
- Generates automated email notifications
Correct answer: Routes and queues messages between producers and consumers to decouple systems
A message broker receives messages from producers and routes them to the appropriate consumers, decoupling senders and receivers so they don't depend on each other directly.
Question 4: What is dbt (data build tool) used for in data engineering?
- Running batch jobs on Hadoop
- Transforming data inside a warehouse using SQL-based models and version-controlled code (Correct answer)
- Monitoring server CPU usage
- Generating synthetic training data
Correct answer: Transforming data inside a warehouse using SQL-based models and version-controlled code
dbt enables data analysts and engineers to write SQL transformations as versioned, tested, documented models that run directly inside the data warehouse.
Question 5: What is Snowflake in the context of data processing?
- A caching layer for Linux servers
- A cloud-native data warehouse platform that separates compute and storage (Correct answer)
- A stream processing framework
- A data encryption library
Correct answer: A cloud-native data warehouse platform that separates compute and storage
Snowflake is a cloud-native data warehouse that decouples compute from storage, allowing independent scaling and supporting multiple concurrent workloads.
Question 6: What is Databricks primarily known for?
- Network firewall management
- A unified data analytics platform built on Apache Spark for collaborative data engineering and ML (Correct answer)
- A relational database engine
- A CSS framework for web development
Correct answer: A unified data analytics platform built on Apache Spark for collaborative data engineering and ML
Databricks is a cloud-based unified analytics platform built on Apache Spark that combines data engineering, data science, and machine learning workflows.
Data Processing Data Processing Tools and Technologies 1
What is Apache Spark primarily used for?