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Big Data Analytics Tools and Technologies

Description: This quiz covers the various tools and technologies used in Big Data Analytics.
Number of Questions: 15
Created by:
Tags: big data analytics tools technologies
Attempted 0/15 Correct 0 Score 0

Which of the following is a popular open-source framework for distributed processing of large datasets?

  1. Hadoop

  2. Spark

  3. Flink

  4. All of the above


Correct Option: D
Explanation:

Hadoop, Spark, and Flink are all popular open-source frameworks for distributed processing of large datasets.

What is the name of the distributed file system used by Hadoop?

  1. HDFS

  2. GFS

  3. Ceph

  4. Lustre


Correct Option: A
Explanation:

HDFS (Hadoop Distributed File System) is the distributed file system used by Hadoop.

Which of the following is a popular programming language for data analysis in Hadoop?

  1. Java

  2. Python

  3. R

  4. All of the above


Correct Option: D
Explanation:

Java, Python, and R are all popular programming languages for data analysis in Hadoop.

What is the name of the distributed computing engine used by Spark?

  1. YARN

  2. Mesos

  3. Kubernetes

  4. All of the above


Correct Option: D
Explanation:

Spark can run on top of YARN, Mesos, or Kubernetes.

Which of the following is a popular tool for interactive data analysis in Spark?

  1. Jupyter Notebook

  2. Zeppelin

  3. Hue

  4. All of the above


Correct Option: D
Explanation:

Jupyter Notebook, Zeppelin, and Hue are all popular tools for interactive data analysis in Spark.

What is the name of the stream processing engine used by Flink?

  1. Flink Streaming

  2. Spark Streaming

  3. Storm

  4. All of the above


Correct Option: A
Explanation:

Flink Streaming is the stream processing engine used by Flink.

Which of the following is a popular tool for data visualization in Big Data Analytics?

  1. Tableau

  2. Power BI

  3. QlikView

  4. All of the above


Correct Option: D
Explanation:

Tableau, Power BI, and QlikView are all popular tools for data visualization in Big Data Analytics.

What is the name of the open-source machine learning library developed by Google?

  1. TensorFlow

  2. PyTorch

  3. Keras

  4. All of the above


Correct Option: A
Explanation:

TensorFlow is the open-source machine learning library developed by Google.

Which of the following is a popular tool for data mining in Big Data Analytics?

  1. Weka

  2. RapidMiner

  3. KNIME

  4. All of the above


Correct Option: D
Explanation:

Weka, RapidMiner, and KNIME are all popular tools for data mining in Big Data Analytics.

What is the name of the open-source platform for developing and deploying machine learning models?

  1. MLflow

  2. Kubeflow

  3. TensorFlow Extended (TFX)

  4. All of the above


Correct Option: D
Explanation:

MLflow, Kubeflow, and TensorFlow Extended (TFX) are all open-source platforms for developing and deploying machine learning models.

Which of the following is a popular tool for data governance in Big Data Analytics?

  1. Data Catalog

  2. Data Lineage

  3. Data Quality

  4. All of the above


Correct Option: D
Explanation:

Data Catalog, Data Lineage, and Data Quality are all popular tools for data governance in Big Data Analytics.

What is the name of the open-source platform for building and managing data pipelines?

  1. Apache Airflow

  2. Luigi

  3. Prefect

  4. All of the above


Correct Option: D
Explanation:

Apache Airflow, Luigi, and Prefect are all open-source platforms for building and managing data pipelines.

Which of the following is a popular tool for data integration in Big Data Analytics?

  1. Talend

  2. Informatica

  3. Stitch

  4. All of the above


Correct Option: D
Explanation:

Talend, Informatica, and Stitch are all popular tools for data integration in Big Data Analytics.

What is the name of the open-source platform for building and managing data lakes?

  1. Apache Hudi

  2. Delta Lake

  3. Iceberg

  4. All of the above


Correct Option: D
Explanation:

Apache Hudi, Delta Lake, and Iceberg are all open-source platforms for building and managing data lakes.

Which of the following is a popular tool for data warehousing in Big Data Analytics?

  1. Amazon Redshift

  2. Google BigQuery

  3. Snowflake

  4. All of the above


Correct Option: D
Explanation:

Amazon Redshift, Google BigQuery, and Snowflake are all popular tools for data warehousing in Big Data Analytics.

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