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MCQs | Big Data Analytics – Big Data Stack

Big Data Analytics | Big Data Stack MCQs: This section contains the Multiple-Choice Questions & Answers on Big Data Analytics - Big Data Stack with explanations.
Submitted by IncludeHelp, on December 31, 2021

1. Big Data Architecture helps design the with the various requirements,

  1. Data ingestion
  2. Data processing
  3. Data Pipeline
  4. None of the mentioned above

Answer: C) Data Pipeline

Explanation:

In order to create the Data Pipeline in accordance with the diverse requirements of either the Batch Processing System or the Stream Processing System, the Big Data Architecture is used. This architecture is made up of six layers, each of which is responsible for ensuring the secure transit of data.


2. Big Data Ingestion Layer is the first step for the data coming from variable sources,

  1. True
  2. False

Answer: A) True

Explanation:

The Big Data Ingestion Layer of the Big Data Architecture is the initial step in the journey of data that comes from a variety of sources to begin its journey. Data ingestion refers to the process of prioritizing and categorizing data in order to ensure that it flows smoothly into subsequent layers of the Data ingestion process flow.


3. Amongst which of the following is /are most suitable with reference to the data collector layer,

  1. Transportation of data from the ingestion layer to the rest of the data pipeline
  2. Data storage
  3. Data identification
  4. None of the mentioned above

Answer: A) Transportation of data from the ingestion layer to the rest of the data pipeline

Explanation:

When compared to the Ingestion Layer, the Data Collector Layer is more concerned with the transportation of data from the Ingestion Layer to the remaining layers of the data pipeline. In data architecture, this is the layer at which components are detached, allowing for the development of analytic capabilities.


4. Data processing layer is the primary layer of Big Data Architecture; this focuses to specialize in the data pipeline processing system,

  1. True
  2. False

Answer: A) True

Explanation:

When it comes to Big Data Architecture, the Data Processing Layer is the most important layer because it is responsible for specializing in the data pipeline processing system. This layer is responsible for processing the data that was collected in the preceding layer. This layer interacts with the data in order to route them to a different destination and categories the data flow, and it is the initial point at which analytic processing can take place.


5. Storage becomes a challenge when the size of the data becomes large,

  1. True
  2. False

Answer: A) True

Explanation:

When the amount of data that are dealing with grows in size, storing it becomes a significant difficulty. Several viable solutions, such as Data Ingestion Patterns, can be used to alleviate such difficulties. When the amount of data we have grows to a significant extent, finding a storage solution becomes extremely vital. This layer of Big Data Architecture is concerned with the question of "where to store such vast amounts of data efficiently."


6. Data Query Layer is the _____ where active analytic processing of Big Data takes place.

  1. Architectural layer
  2. Fundamental layer
  3. Backpropogation layer
  4. None of the mentioned above

Answer: A) Architectural layer

Explanation:

This is the architectural layer in which active analytic processing of Big Data takes place, as opposed to passive processing. The primary goal of this layer is to collect data value that will be more useful for the subsequent layer.


7. Data Visualization Layer,

  1. To visualize the data
  2. To access the data
  3. To process the data
  4. All of the mentioned above

Answer: A) To visualize the data

Explanation:

When it comes to the visualization or presentation tier, it's perhaps the most prestigious because it's where data pipeline consumers can truly appreciate the value of their data. We require something that will capture people's attention, draw them in, and ensure that your findings are effectively comprehended.


8. Big Data Ingestion Layer concerned with the,

  1. Big Data ingestion pipeline is divided into different layers
  2. Each layer performs a particular function
  3. Both A and B
  4. None of the mentioned above

Answer: B) Each layer performs a particular function

Explanation:

Using the Layered Architecture of Big Data, the mystery of data input may be unraveled with relative ease. The Layered Architecture of the Big Data intake pipeline is separated into distinct levels, each of which performs a specific purpose in the overall architecture.


9. Custom Application of Big data for business to meet ______.

  1. Business needs
  2. Facilitates cloud computing and
  3. Hypervisor
  4. Virtualization

Answer: D) Virtualization

Explanation:

Custom Big Data Applications for Business to address specific business requirements, as well as cloud computing and virtualization, Hadoop, and other technologies. Furthermore, big data comprises a diverse range of data including

  • Structured data – it includes transactions and financial records;
  • Unstructured data – it includes Text, documents, and multimedia files.
  • Semi-structured data – semi-structured data is found in log files from web servers and streaming data from sensors.

10. An ____ consisted of highly structured data managed by the line of business in a relational database.

  1. Operational data source
  2. Qualitative data source
  3. Both A and B
  4. None of the mentioned above

Answer: A) Operational data source

Explanation:

An operational data source has traditionally comprised of highly organized data handled by the line of business and stored in a relational database, according to industry standards. However, it is critical to recognize that operational data must now include a greater range of data sources.


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