Data Processing Data Processing Tools and Technologies 2

Question 1

What is Apache Flink used for?

Accepted Answer

Stateful stream processing with exactly-once guarantees and low latency

Answer

Apache Flink is a distributed stream processing framework that provides exactly-once state consistency and very low latency for real-time applications.

Question 2

What role does Amazon S3 play in data processing architectures?

Accepted Answer

Providing scalable object storage as a data lake or staging area for pipelines

Answer

Amazon S3 is widely used as a scalable, cost-effective object store for raw data lakes, ETL staging areas, and intermediate results in cloud data pipelines.

Question 3

What is Apache Hive used for?

Accepted Answer

Querying and managing large datasets stored in Hadoop using a SQL-like interface

Answer

Apache Hive provides a SQL-like query language (HiveQL) for querying and analyzing large datasets stored in the Hadoop Distributed File System (HDFS).

Question 4

What is the purpose of Apache NiFi in data pipelines?

Accepted Answer

Automating data flow between systems with a visual, drag-and-drop interface

Answer

Apache NiFi provides a visual interface for building and managing automated data flows between source and destination systems with built-in provenance tracking.

Question 5

What is Google BigQuery primarily used for?

Accepted Answer

Serverless, scalable cloud data warehouse for fast SQL analytics on large datasets

Answer

BigQuery is Google Cloud's serverless, fully managed data warehouse that executes SQL queries on petabyte-scale datasets using distributed infrastructure.

Data Processing Practice Test

Data Processing Practice Test

Data Processing Data Processing Tools and Technologies 2