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

Question 1

Which of the following Apache projects is primarily designed for real-time stream processing of large datasets, enabling continuous queries and analysis of data in motion?

Accepted Answer

Apache Flink

Answer

Apache Hive

Answer

Apache Spark MLlib

Answer

Apache HBase

Question 2

A data engineering team needs to store petabytes of semi-structured log data that arrives continuously and requires flexible schema changes over time. They also need to perform complex analytical queries on this data. Which Big Data technology combination would be most suitable for this scenario?

Accepted Answer

Apache Kafka for ingestion, Apache HDFS for storage, and Apache Spark for processing and analysis.

Answer

Traditional Relational Database (RDBMS) for storage and SQL Server Integration Services (SSIS) for ETL.

Answer

Apache ZooKeeper for coordination, Apache Sqoop for data transfer, and Apache Pig for scripting.

Answer

Amazon S3 for storage, Microsoft Power BI for visualization, and Tableau for reporting.

Question 3

Which characteristic of Big Data refers to the increasing uncertainty of data, including inconsistencies, incompleteness, ambiguities, and security issues, making it difficult to trust and use effectively?

Accepted Answer

Veracity

Answer

Variety

Answer

Velocity

Answer

Volume

Question 4

In a Hadoop ecosystem, what is the primary role of YARN (Yet Another Resource Negotiator)?

Accepted Answer

To manage computing resources and schedule applications running on a cluster.

Answer

To provide a distributed file system for storing large datasets across clusters.

Answer

To enable real-time, interactive SQL queries over large datasets stored in HDFS.

Answer

To facilitate high-speed data ingestion from various sources into HDFS.

Question 5

Which of the following statements about NoSQL databases is generally TRUE when compared to traditional Relational Database Management Systems (RDBMS)?

Accepted Answer

NoSQL databases are designed for horizontal scalability and handling large volumes of unstructured or semi-structured data.

Answer

NoSQL databases typically enforce strict schema validation and ACID properties for all transactions.

Answer

NoSQL databases primarily use SQL for querying and data manipulation.

Answer

NoSQL databases are best suited for applications requiring complex joins and highly normalized data models.

Question 6

A data scientist needs to process a massive dataset of customer interactions, where each interaction is a small event, and the total volume is in the terabytes. They want to perform iterative machine learning algorithms that require caching data in memory for faster access. Which Big Data processing framework would be most efficient for this task?

Accepted Answer

Apache Spark

Answer

Apache MapReduce

Answer

Apache Hive

Answer

Apache Cassandra