MCQOPTIONS
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MCQOPTIONS
This section includes 27 Mcqs, each offering curated multiple-choice questions to sharpen your Bachelor of Business Administration in Computer Applications (BBA [CA]) knowledge and support exam preparation. Choose a topic below to get started.
| 1. |
Which of the following focuses on the discovery of (previously) unknown properties on the data? |
| A. | Data mining |
| B. | BigData |
| C. | Data wrangling |
| D. | Machine Learning |
| Answer» B. BigData | |
| 2. |
The overall percentage of the world s total data has been created just within the past two years is ? |
| A. | 80% |
| B. | 85% |
| C. | 90% |
| D. | 95% |
| Answer» D. 95% | |
| 3. |
___________ is general-purpose computing model and runtime system for distributed data analytics. |
| A. | Mapreduce |
| B. | Drill |
| C. | Oozie |
| D. | None of the above |
| Answer» B. Drill | |
| 4. |
The examination of large amounts of data to see what patterns or other useful information can be found is known as |
| A. | Data examination |
| B. | Information analysis |
| C. | Big data analytics |
| D. | Data analysis |
| Answer» D. Data analysis | |
| 5. |
The new source of big data that will trigger a Big Data revolution in the years to come is? |
| A. | Business transactions |
| B. | Social media |
| C. | Transactional data and sensor data |
| D. | RDBMS |
| Answer» D. RDBMS | |
| 6. |
Listed below are the three steps that are followed to deploy a Big Data Solution except |
| A. | Data Processing |
| B. | Data dissemination |
| C. | Data Storage |
| D. | Data Ingestion |
| Answer» C. Data Storage | |
| 7. |
______ is the term that is used to describe data that is high volume , high velocity and /or high variety. |
| A. | Analytics |
| B. | Bigdata |
| C. | Hadoop Data |
| D. | Bigdata analytics |
| Answer» C. Hadoop Data | |
| 8. |
To find the minimum or the maximum of a function, we set the gradient to zero because: |
| A. | The value of the gradient at extrema of a function is always zero |
| B. | Depends on the type of problem |
| C. | Both A and B |
| D. | None of the above |
| Answer» B. Depends on the type of problem | |
| 9. |
Which of the following can be used to create sub samples using a maximum dissimilarity approach? |
| A. | minDissim |
| B. | maxDissim |
| C. | inmaxDissim |
| D. | All of the Mentioned |
| Answer» C. inmaxDissim | |
| 10. |
Which of the following plots are often used for checking randomness in time series? |
| A. | Autocausation |
| B. | Autorank |
| C. | Autocorrelation |
| D. | None of the above |
| Answer» D. None of the above | |
| 11. |
Which of the following is a reasonable way to select the number of principal components "k"? |
| A. | Choose k to be the smallest value so that at least 99% of the varinace is retained. |
| B. | Choose k to be 99% of m (k = 0.99*m, rounded to the nearest integer). |
| C. | Choose k to be the largest value so that 99% of the variance is retained. |
| D. | Use the elbow method. |
| Answer» B. Choose k to be 99% of m (k = 0.99*m, rounded to the nearest integer). | |
| 12. |
Which of the following techniques can not be used for normalization in text mining? |
| A. | Stemming |
| B. | Lemmatization |
| C. | Stop Word Removal |
| D. | None of the above |
| Answer» D. None of the above | |
| 13. |
When performing regression or classification, which of the following is the correct way to preprocess the data? |
| A. | Normalize the data -> PCA -> training |
| B. | PCA -> normalize PCA output -> training |
| C. | Normalize the data -> PCA -> normalize PCA output -> training |
| D. | None of the above |
| Answer» B. PCA -> normalize PCA output -> training | |
| 14. |
A model of language consists of the categories which does not include ________. |
| A. | System Unit |
| B. | structural units. |
| C. | data units |
| D. | empirical units |
| Answer» C. data units | |
| 15. |
The modern conception of data science as an independent discipline is sometimes attributed to? |
| A. | William S. |
| B. | John McCarthy |
| C. | Arthur Samuel |
| D. | Satoshi Nakamoto |
| Answer» B. John McCarthy | |
| 16. |
The goal of business intelligence is to allow easy interpretation of large volumes of data to identify new opportunities. |
| A. | TRUE |
| B. | FALSE |
| C. | Can be true or false |
| D. | Can not say |
| Answer» B. FALSE | |
| 17. |
In which of the following cases will K-means clustering fail to give good results? 1) Data points with outliers 2) Data points with different densities 3) Data points with nonconvex shapes |
| A. | 1 and 2 |
| B. | 2 and 3 |
| C. | 1 and 3 |
| D. | All of the above |
| Answer» E. | |
| 18. |
In which of the following cases will K-means clustering fail to give good results? 1) Data points with outliers 2) Data points with different densities 3) Data points with nonconvex shapes |
| A. | 1 and 2 |
| B. | 2 and 3 |
| C. | 1 and 3 |
| D. | All of the above |
| Answer» E. | |
| 19. |
Which of the following step is performed by data scientist after acquiring the data? |
| A. | Data Cleaning |
| B. | Data Integration |
| C. | Data Replication |
| D. | All of the above |
| Answer» B. Data Integration | |
| 20. |
Which of the following can be used to impute data sets based only on information in the training set? |
| A. | postprocess |
| B. | preProcess |
| C. | process |
| D. | All of the Mentioned |
| Answer» C. process | |
| 21. |
In descriptive statistics, data from the entire population or a sample is summarized with ? |
| A. | integer descriptors |
| B. | floating descriptors |
| C. | numerical descriptors |
| D. | decimal descriptors |
| Answer» D. decimal descriptors | |
| 22. |
Which of the following model model include a backwards elimination feature selection routine? |
| A. | MCV |
| B. | MARS |
| C. | MCRS |
| D. | All of the Mentioned |
| Answer» C. MCRS | |
| 23. |
Which of the following is a widely used and effective machine learning algorithm based on the idea of bagging? |
| A. | Decision Tree |
| B. | Regression |
| C. | Classification |
| D. | Random Forest |
| Answer» E. | |
| 24. |
The branch of statistics which deals with development of particular statistical methods is classified as |
| A. | industry statistics |
| B. | economic statistics |
| C. | applied statistics |
| D. | applied statistics |
| Answer» E. | |
| 25. |
In Model based learning methods, an iterative process takes place on the ML models that are built based on various model parameters, called ? |
| A. | mini-batches |
| B. | optimizedparameters |
| C. | hyperparameters |
| D. | superparameters |
| Answer» D. superparameters | |
| 26. |
__________ can best be described as a programming model used to develop Hadoop-based applications that can process massive amounts of data. |
| A. | MapReduce |
| B. | Mahout |
| C. | Oozie |
| D. | All of the mentioned |
| Answer» B. Mahout | |
| 27. |
According to analysts, for what can traditional IT systems provide a foundation when they re integrated with big data technologies like Hadoop? |
| A. | Big data management and data mining |
| B. | Data warehousing and business intelligence |
| C. | Management of Hadoop clusters |
| D. | Collecting and storing unstructured data |
| Answer» B. Data warehousing and business intelligence | |