Big Data MCQs(multiple choice questions) with answers - letsbug
In this article we have 30 MCQs(multiple choice questions) on Big Data with answers.
1. According to analysts, for what can traditional IT system provide a foundation when they're integrated with big data technologies like Hadoop?
- Big data management and data mining
- Data warehousing and business intelligence
- Management and business
- Collecting and storing unstructured data
Answer: 1
2. What are the main components of Big Data?
- MapReduce
- HDFS
- YARN
- All of these
Answer: 4
3. What are the different features of Big Data Analytics?
- Open-Source
- Scalability
- Data Recovery
- All of the above
Answer: 4
4. According to analysts, for what can traditional IT systems provide a foundation when they're integrated with big data technologies like Hadoop?
- Big data management and data mining
- Data warehousing and business intelligence
- Management of Hadoop clusters
- Collecting and storing unstructured data
Answer: 2
5. What are the four V's of Big Data?.
- Volume
- Velocity
- Variety
- All of the above
Answer: 4
6. All of the following accurately describe Hadoop, EXCEPT:
- Open-source
- Real-time
- java-based
- Distributed computing approach
Answer: 2
7. The examination of large amounts of data to see what patterns or other useful information can be found is known as.
- Data examination
- Information analysis
- Big Data analytics
- Data analysis
Answer: 3
8. Big data analysis does the following except.
- Collects data
- Spreads data
- Organizes data
- Analyzes data
Answer: 2
9. What makes Big Data analysis difficult to optimize?
- Big Data is not difficult to optimize
- Both data and cost-effective ways to mine data to make business sense out of it.
- The technology to mine data
- All of the above.
Answer: 2
10. The new source of big data that will trigger a Big Data revolution in the year to come
- Business transactions
- Social media
- Transactional data and sensor data
- RDBMS
Answer: 3
11. Data science is the process of diverse set of data through?
- Organizing data
- Processing data
- Analyzing data
- all of the above
Answer:4
12. Which of the following language is used in Data Science.
- C
- C++
- R
- Ruby
Answer:3
13. Which of the following is false?
- Sub setting can be used to select and exclude variables and observations
- Raw data should be processed only one time.
- Merging concerns combining datasets on the same observations to produce a result with more variables.
- None of the above
Answer: 2
14. Which of the following are correct components for data science?
- Data Engineering
- Advanced Computing
- Domain Expertise
- All of the above
Answer: 4
15. Which of the following is not a part of data science process?
- Discovery
- Model Planning
- Communication building
- Operationalize
Answer: 3
16. Which of the following are the Data Sources in data science?
- Structured
- Unstructured
- Both A and B
- None of the above
Answer: 3
17. Which of the following is not an application for data science?
- Recommendation Systems
- Image & speech Recognition
- Online Price comparison
- Privacy Checker
Answer: 4
18. Which of the following uses data on some objects to predict values for other object?
- Fast
- Accuracy
- Scalable
- All of the above
Answer: 4
19. Which of the following characteristics of big data is relatively more concerned to data science?
- Raw data is original source of data
- Preprocesses data is original source of data
- Raw data is the data obtained after processing steps
- None of the above.
Answer: 1
20. Which of the following focuses on unknown properties of the data?
- Velocity
- Variety
- Volume
- None of the above
Answer: 2
21. Which of the following is one of the key data science skills?
- Statistics
- Machine Learning
- Data Visualization
- All of the above
Answer: 3
22. Which of the following is a key characteristics of a hacker?
- Afraid to day they don't know the answer
- Willing to find answers on their own
- Not willing to find answers on their own
- All of the above
Answer: 2
23. Raw data should be processed only one time.
- True
- False
- Can be true or false
- Cannot Say
Answer: 2
24. Which of the following is the common goal of statistical modelling?
- Inference
- summarizing
- Sub setting
- None of the above
Answer: 1
25. Causal analysis is commonly applied to census data.
- True
- false
- Can be true or false
- Cannot say
Answer: 2
26. Vectors come in two parts ______ and _______.
- Atomic vectors and matrix
- Atomic vectors and array
- Atomic vectors and list
- none of the above
Answer: 3
27. Which of the following model is usually a gold standard for data analysis?
- Inferential
- Descriptive
- Causal
- All of the above
Answer: 3
28. Which is true about Machine Learning?
- Machine Learning (ML) is that field of computer science
- ML is a type of artificial intelligence that extract patterns out of raw data by using an algorithm or method.
- The main focus of ML is to allow computer systems learn from experience without being explicitly programmed or human intervention.
- All of the above
Answer: 4
29. Which of the following are ML methods?
- based on human supervision
- supervised learning
- semi-reinforcement learning
- all of the above
Answer: 1
30. Which of the following is a widely used and effective machine learning algorithm based the idea of bagging?
- Decision Tree
- Regression
- Classification
- Random Forest
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