Big Data MCQ Quiz in मल्याळम - Objective Question with Answer for Big Data - സൗജന്യ PDF ഡൗൺലോഡ് ചെയ്യുക
Last updated on Mar 9, 2025
Latest Big Data MCQ Objective Questions
Top Big Data MCQ Objective Questions
Big Data Question 1:
Comprehension:
The increase in use of smart devices such as sensor, actuator, and wearable devices, as well as other devices, has produced massive amounts of data that need to be shaped in a structured way to mine the information and useful insights for the useful use of research and practice. This increase of information can yield research issues and challenges as extracting useful information becomes a challenging task for research. The useful insights once drawn in a successful way can ultimately care for the patient and provide effective treatment in the early stage. Diverse approaches, methods, and mechanisms are in practice to tackle the issues of big data and its analytics in the field of healthcare in general and cardiology in specific.
The role of data processing and information in healthcare has always been vital in healthcare for decision-making and its provision. Medical big data is produced from the communication and digitization in healthcare. Healthcare providers and the hospital industry provide a huge amount of data from other segments, such as medical equipment, medical insurance, medical research, and life science. Huge amount of data exists, which grasps the potential of support of healthcare and medical tasks. The integration of machine learning, artificial intelligence, and advanced analytics offers numerous opportunities for transmuting such data into actionable and expressive insights for supporting decision-making. This can ultimately make availability of patient care at high quality and real-time situation response and can protect lives on the clinical side and develop the services and processes, improve the use of resources, and minimize the costs on the maintenance and financial front.
With the rise of advanced approaches such as analytical techniques and approaches, the stakeholders of healthcare can not only connect the data power for historical analysis of data but also predict future outcomes with predictive analytics for defining best accomplishment for the present situation. Conventionally, the practitioners of clinics rely on reserved information accessible to them and their past involvement for treatment of patients. Data availability from diverse sources deals with the chance to have a complete thought of patient well-being. The use of cutting-edge technologies against such data aids access to the appropriate information at precise place and accurate time for delivering precise care
The role of data processing and information in healthcare has always been vital for which of the following?
Answer (Detailed Solution Below)
Big Data Question 1 Detailed Solution
The correct answer is Helps in decision-making and its provision.
Key Points According to the passage, " The role of data processing and information in healthcare has always been vital in healthcare for decision-making and its provision."
- The role of data processing and information in healthcare is vital for decision-making and its provision in healthcare.
- In modern healthcare, medical decisions are increasingly being based on data-driven insights and evidence-based medicine.
- Data processing and information management play a critical role in generating, collecting, storing, and analyzing the vast amounts of data generated in healthcare.
- Furthermore, data processing and information management play a crucial role in healthcare operations, such as billing, claims management, and resource allocation.
- By automating administrative processes and streamlining workflows, healthcare organizations can improve efficiency and reduce costs.
Hence, the correct answer is to help in decision-making and its provision.
Big Data Question 2:
Comprehension:
The increase in use of smart devices such as sensor, actuator, and wearable devices, as well as other devices, has produced massive amounts of data that need to be shaped in a structured way to mine the information and useful insights for the useful use of research and practice. This increase of information can yield research issues and challenges as extracting useful information becomes a challenging task for research. The useful insights once drawn in a successful way can ultimately care for the patient and provide effective treatment in the early stage. Diverse approaches, methods, and mechanisms are in practice to tackle the issues of big data and its analytics in the field of healthcare in general and cardiology in specific.
The role of data processing and information in healthcare has always been vital in healthcare for decision-making and its provision. Medical big data is produced from the communication and digitization in healthcare. Healthcare providers and the hospital industry provide a huge amount of data from other segments, such as medical equipment, medical insurance, medical research, and life science. Huge amount of data exists, which grasps the potential of support of healthcare and medical tasks. The integration of machine learning, artificial intelligence, and advanced analytics offers numerous opportunities for transmuting such data into actionable and expressive insights for supporting decision-making. This can ultimately make availability of patient care at high quality and real-time situation response and can protect lives on the clinical side and develop the services and processes, improve the use of resources, and minimize the costs on the maintenance and financial front.
With the rise of advanced approaches such as analytical techniques and approaches, the stakeholders of healthcare can not only connect the data power for historical analysis of data but also predict future outcomes with predictive analytics for defining best accomplishment for the present situation. Conventionally, the practitioners of clinics rely on reserved information accessible to them and their past involvement for treatment of patients. Data availability from diverse sources deals with the chance to have a complete thought of patient well-being. The use of cutting-edge technologies against such data aids access to the appropriate information at precise place and accurate time for delivering precise care
According to the passage, the use of cutting-edge technologies helps in which of the following?
Answer (Detailed Solution Below)
Big Data Question 2 Detailed Solution
The correct answer is All of the Above.
Key Points According to the passage, "The use of cutting-edge technologies against such data aids access to the appropriate information at precise place and accurate time for delivering precise care"
- Data Analytics are important for delivering quality health care.
- There are numerous applicability of Data Analytics in healthcare.
- Data analytics has become increasingly important in the field of healthcare as it enables medical professionals to collect, process, and analyze large amounts of data in real time, providing insights that can help improve patient outcomes, reduce costs, and optimize operational efficiency.
Hence, the correct answer is cutting-edge technologies help in aiding data to access appropriate information, delivering precise care and getting accurate information in place.
Big Data Question 3:
Point out the wrong statement :
Answer (Detailed Solution Below)
Big Data Question 3 Detailed Solution
The correct answer is option 1
Key Points
In fact, one key characteristic of a non-relational (NoSQL) database is that they do not require a fixed schema before you start filling them with data. This flexibility works well with unstructured data and is often used in big data applications