MS-DS Master of Data science FREE MS-DS Master of Data science Big Data Technologies Questions and Answers 3

Question 1

What is the primary purpose of Apache ZooKeeper in a big data ecosystem?

Accepted Answer

Distributed coordination and configuration management

Answer

Data warehousing and SQL queries

Answer

Machine learning model training

Answer

Real-time data visualization

Question 2

In Apache Kafka, what is a partition's role in achieving scalability for data streaming?

Accepted Answer

It allows a topic's data to be distributed across multiple brokers for parallel consumption

Answer

It encrypts messages for secure transmission

Answer

It compresses all messages into a single log file

Answer

It replicates the entire topic to every broker in the cluster

Question 3

Which data processing paradigm does Apache Flink natively support that distinguishes it from batch-first frameworks?

Accepted Answer

True event-time stream processing with exactly-once semantics

Answer

Batch processing with MapReduce

Answer

Interactive SQL-only queries

Answer

Graph-based computation exclusively

Question 4

What is the function of the YARN ResourceManager in a Hadoop cluster?

Accepted Answer

It allocates cluster resources to competing applications

Answer

It stores metadata about HDFS file locations

Answer

It executes individual map and reduce tasks

Answer

It manages data serialization formats

Question 5

Which technique does Apache Spark use to recover lost data partitions without requiring full data replication?

Accepted Answer

Lineage-based recomputation from the DAG of transformations

Answer

Write-ahead logging to local disk

Answer

Synchronous replication to three nodes

Answer

Periodic full snapshots to HDFS

Question 6

In a data lake architecture, what is the primary advantage of using a schema-on-read approach over schema-on-write?

Accepted Answer

Data can be ingested in its raw format and structured at query time for different use cases

Answer

It enforces strict data types during ingestion for better quality

Answer

It reduces storage costs by compressing data at write time

Answer

It eliminates the need for any data governance policies