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MCQs | Big Data Analytics – 7 V's of Big Data
Big Data Analytics | 7 V's of Big Data MCQs: This section contains the Multiple-Choice Questions & Answers on Big Data Analytics - 7 V's of Big Data with explanations.
Submitted by IncludeHelp, on January 13, 2022
Big Data Analytics 7 V's of Big Data MCQs
1. Analytics has begun to impact almost every industry including,
- Healthcare,
- Education and telecom
- Telecom
- All of the mentioned above
Answer: D) All of the mentioned above
Explanation:
Today, analytics is beginning to have an impact on practically every business, including healthcare, education, and telecommunications, among others. Clinical analytics can be used to provide evidence-based medical care, improve patient care, anticipate disease outbreaks in real time, and reduce hospital operational expenses.
2. Large _____ of data is considered as big data.
- Volume
- Veracity
- Variety
- None of the mentioned above
Answer: A) Volume
Explanation:
The term "big data" refers to a large amount of information. Due to the fact that data is now more than just text, there has been an exponential increase in data storage. On our social media platforms, you may get the information in the form of films, music, and large photographs to download. Companies frequently have storage systems with Terabytes and Petabytes of storage space available to them.
3. Velocity is the speed in which data is process and becomes accessible.
- True
- False
Answer: A) True
Explanation:
The speed at which data is processed and made available is referred to as its velocity. The term "Velocity" relates to how quickly data can be processed and accessible in this context. In the case of social media postings, YouTube videos, audio files, and photographs, which are uploaded in the hundreds every second, the content should be available as soon as possible.
4. Variability refers to the data which keeps on changing constantly.
- True
- False
Answer: A) True
Explanation:
The concept of variability is primarily concerned with comprehending and interpreting the correct interpretations of raw data. Variability differs from diversity in that it is unpredictable. Variability can relate to a variety of different aspects in the context of big data. The amount of inconsistencies in the data is represented by one. Anomaly and outlier detection methods must be used to identify them in order for any meaningful analytics to be performed. Big data is also variable due to the plethora of data dimensions that come from the collection of data from a variety of distinct data types and sources. Varying the speed at which large amounts of data are put into your database can also be referred to as variability.
5. Variety describes one of the biggest challenges of ______.
- Big data
- Data science
- Data integration
- None of the mentioned above
Answer: A) Big data
Explanation:
One of the most difficult issues of large data is characterized by its diversity. It can be unstructured, and it can contain a wide range of different sorts of data, ranging from XML to video to text messages. Finding a meaningful way to organize data that makes sense is not an easy process, especially when the data itself is constantly changing.
6. Veracity makes sure that the data is _______.
- Accurate
- Inconsistence
- Variant
- None of the mentioned above
Answer: A) Accurate
Explanation:
Veracity is the process of ensuring that the data is accurate. Veracity is concerned with ensuring that the data is accurate, which necessitates the implementation of measures to prevent incorrect data from collecting in our systems. If your data is inaccurate, it is of little use, and this is where the concept of Veracity comes into play. In order to ensure that the data you collect is accurate, you must first remove any potentially harmful information from your systems. It also refers to the reliability or quality of the data that a corporation receives and processes in order to gain relevant insights from it.
7. Validity refers to how accurate and correct the data is for its intended use,
- True
- False
Answer: A) True
Explanation:
The validity of data relates to how accurate and correct the data is for the purpose for which it is being used. The degree to which data is required by users or companies is referred to as data validity. It is expected that accurate findings will be obtained from valid input data and correct data processing. When dealing with large amounts of data, you must be especially careful in terms of veracity. Whether or whether data meets user-defined criteria or falls within a user-defined range is described by this encoding.
8. Visualization refers the collected and analyzed data understandable and easy to read.
- True
- False
Answer: A) True
Explanation:
Visualization is the process of making data that has been collected and evaluated intelligible and easy to read. It is impossible to utilize and leverage raw data unless it is presented in an appropriate manner. It is far more effective in expressing meaning when charts and graphs are used to display enormous amounts of complex data rather than spreadsheets and reports that are crammed full of numbers and algorithms.
9. Marketers do not face with the challenge of ingesting the big data,
- True
- False
Answer: B) False
Explanation:
Marketers are confronted with the challenge of digesting the massive amounts of data that are now available. Despite the fact that we all have a voracious desire for data, it is not always easy to "digest." Data is frequently stored in a number of different point solutions. Data structure discrepancies are most certainly present, making it difficult to combine information from diverse sources. There's a good chance that the information isn't available in real time.
10. Big data is also changing at a faster rate,
- True
- False
Answer: B) False
Explanation:
Big data is also evolving at a quicker rate, with hundreds of different data types to choose from. As a result of the rapidity with which data is generated and processed in order to fulfill the demands and challenges that lay in the way of growth and development, big data is frequently available in real time. When compared to tiny data, big data is generated on a more consistent basis. There are two types of velocity associated with big data: the frequency with which data is generated and the frequency with which data is handled, recorded, and published.
11. Amongst which of the following is/are represents the Value of data in Big Data environment,
- Worth in information
- Useless data
- Useless information
- None of the mentioned above
Answer: A) Worth in information
Explanation:
The amount of information gained from the processing and analysis of massive datasets is worth its weight in gold. An evaluation of the various characteristics of big data can also be used to determine its value. The profitability of knowledge derived from the processing of large amounts of data may also be represented by the term "value."
12. Each day, the world produces quintillion bytes of data.
- True
- False
Answer: B) False
Explanation:
Every day, the entire planet generates quintillion bytes of data. The majority of businesses already have an average of 100 terabytes of data saved on their servers. Every day, Facebook users upload a terabyte of data. Retailers such as Walmart alone conduct more than a million transactions per hour.
13. Volume, Velocity and Variety are _____ to Big Data,
- Intrinsic
- Extrinsic
- Both A and B
- None of the mentioned above
Answer: A) Intrinsic
Explanation:
Big Data is characterized by three characteristics: volume, velocity, and variety. It is vital to note that the other Vs of Variability, Veracity, Value, and Visualization are all key characteristics that reflect the enormous complexity that Big Data provides to those who would process, analyze, and derive value from it.
14. Amongst which of the following is / are the challenge of Big Data processing,
- Goes beyond the massive volumes
- Increasing velocities of data
- Both A and B
- None of the mentioned above
Answer: C) Both A and B
Explanation:
Beyond the vast volumes and growing speeds of data, the issue of Big Data processing is in handling the enormous diversity of data that is produced. When seen as a whole, these data appear to be an incomprehensible blob with no discernible pattern.
15. The data that can be processed, stored, and retrieved in a fixed format called _____,
- Structured Data
- Unstructured Data
- Semi-structured Data
- None of the mentioned above
Answer: A) Structured Data
Explanation:
Structured data is data that can be processed, stored, and retrieved in a fixed manner and is hence referred to as structured data.