MCQOPTIONS
Saved Bookmarks
MCQOPTIONS
This section includes 93 Mcqs, each offering curated multiple-choice questions to sharpen your Mongodb knowledge and support exam preparation. Choose a topic below to get started.
| 1. |
Which is used to find the factor congruence coefficients? |
| A. | factor.mosaicplot |
| B. | factor.xyplot |
| C. | factor.congruence |
| D. | factor.cumsum |
| Answer» D. factor.cumsum | |
| 2. |
What is true about Data Visualization? |
| A. | Data Visualization is used to communicate information clearly and efficiently to users by the usage of information graphics such as tables and charts. |
| B. | Data Visualization helps users in analyzing a large amount of data in a simpler way. |
| C. | Data Visualization makes complex data more accessible, understandable, and usable. |
| D. | All of the above |
| Answer» E. | |
| 3. |
The new source of big data that will trigger a Big Data revolution in theyears to come is? |
| A. | Business transactions |
| B. | Social media |
| C. | Transactional data and sensor data |
| D. | RDBMS |
| Answer» D. RDBMS | |
| 4. |
What is a sentence parser typically used for? |
| A. | It is used to parse sentences to check if they are utf-8 compliant. |
| B. | It is used to parse sentences to derive their most likely syntax tree structures. |
| C. | It is used to parse sentences to assign POS tags to all tokens. |
| D. | It is used to check if sentences can be parsed into meaningful tokens. |
| Answer» C. It is used to parse sentences to assign POS tags to all tokens. | |
| 5. |
In descriptive statistics, data from the entire population or a sample issummarized with ? |
| A. | integer descriptors |
| B. | floating descriptors |
| C. | numerical descriptors |
| D. | decimal descriptors |
| Answer» D. decimal descriptors | |
| 6. |
Which of the following can be used to impute data sets based only on informationin the training set? |
| A. | postprocess |
| B. | preProcess |
| C. | process |
| D. | All of the Mentioned |
| Answer» C. process | |
| 7. |
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). | |
| 8. |
The branch of statistics which deals with development of particularstatistical methods is classified as |
| A. | industry statistics |
| B. | economic statistics |
| C. | applied statistics |
| D. | applied statistics |
| Answer» E. | |
| 9. |
Numbers ,text, image, audio and video data is ____ |
| A. | Volume |
| B. | Value |
| C. | Varity |
| D. | Variety |
| Answer» E. | |
| 10. |
Which of the following is tool for checking normality? |
| A. | qqline() |
| B. | qline() |
| C. | anova() |
| D. | lm() |
| Answer» B. qline() | |
| 11. |
File containing R scripts end with extension _______. |
| A. | .R |
| B. | .S |
| C. | .bigdata |
| D. | All of the above |
| Answer» B. .S | |
| 12. |
Common use cases for data visualization include? |
| A. | Politics |
| B. | Sales and marketing |
| C. | Healthcare |
| D. | All of the above |
| Answer» E. | |
| 13. |
According to analysts, for what can traditional IT systems provide afoundation 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 | |
| 14. |
The examination of large amounts of data to see what patterns or otheruseful information can be found is known as |
| A. | Data examination |
| B. | Information analysis |
| C. | Big data analytics |
| D. | Data analysis |
| Answer» D. Data analysis | |
| 15. |
______ is the term that is used to describe data that is high volume , highvelocity and /or high variety. |
| A. | Analytics |
| B. | Bigdata |
| C. | Hadoop Data |
| D. | Bigdata analytics |
| Answer» C. Hadoop Data | |
| 16. |
Raw data should be processed only one time. |
| A. | True |
| B. | False |
| C. | Can be true or false |
| D. | Can not say |
| Answer» C. Can be true or false | |
| 17. |
Which of the following are ML methods? |
| A. | based on human supervision |
| B. | supervised Learning |
| C. | semi-reinforcement Learning |
| D. | All of the above |
| Answer» B. supervised Learning | |
| 18. |
Which of the following are correct component for data science? |
| A. | Data Engineering |
| B. | Advanced Computing |
| C. | Domain expertise |
| D. | All of the above |
| Answer» E. | |
| 19. |
Which of the following techniques can not be used for normalization intext mining? |
| A. | Stemming |
| B. | Lemmatization |
| C. | Stop Word Removal |
| D. | None of the above |
| Answer» D. None of the above | |
| 20. |
In Model based learning methods, an iterative process takes place on theML models that are built based on various model parameters, called ? |
| A. | mini-batches |
| B. | optimizedparameters |
| C. | hyperparameters |
| D. | superparameters |
| Answer» D. superparameters | |
| 21. |
What is true about Machine Learning? |
| A. | Machine Learning (ML) is that field of computer science |
| B. | ML is a type of artificial intelligence that extract patterns out of raw data by using an algorithm or method. |
| C. | The main focus of ML is to allow computer systems learn from experience without being explicitly programmed or human intervention. |
| D. | All of the above |
| Answer» E. | |
| 22. |
Data Analysis is defined by the statistician? |
| A. | William S. |
| B. | Hans Peter Luhn |
| C. | Gregory Piatetsky-Shapiro |
| D. | John Tukey |
| Answer» E. | |
| 23. |
A__________ begins by hypothesizing a sentence (the symbol S) and successively predicting lower level constituents until individual preterminal symbols are written. |
| A. | bottow-up parser |
| B. | top parser |
| C. | top-down parser |
| D. | bottom parser |
| Answer» D. bottom parser | |
| 24. |
Which of the following step is performed by data scientist after acquiringthe data? |
| A. | Data Cleaning |
| B. | Data Integration |
| C. | Data Replication |
| D. | All of the above |
| Answer» B. Data Integration | |
| 25. |
The modern conception of data science as an independent discipline issometimes attributed to? |
| A. | William S. |
| B. | John McCarthy |
| C. | Arthur Samuel |
| D. | Satoshi Nakamoto |
| Answer» B. John McCarthy | |
| 26. |
Which of the following is true about regression analysis? |
| A. | answering yes/no questions about the data |
| B. | estimating numerical characteristics of the data |
| C. | modeling relationships within the data |
| D. | describing associations within the data |
| Answer» D. describing associations within the data | |
| 27. |
How many layers Deep learning algorithms are constructed? |
| A. | 2 |
| B. | 3 |
| C. | 4 |
| D. | 5 |
| Answer» C. 4 | |
| 28. |
Which of the following is a subset of machine learning? |
| A. | Numpy |
| B. | SciPy |
| C. | Deep Learning |
| D. | All of the above |
| Answer» D. All of the above | |
| 29. |
Who popularized bigdata term? |
| A. | John deere |
| B. | John Mashey |
| C. | johny Mashe |
| D. | Jhon Mash |
| Answer» C. johny Mashe | |
| 30. |
___________ is general-purpose computing model and runtime system fordistributed data analytics. |
| A. | Mapreduce |
| B. | Drill |
| C. | Oozie |
| D. | None of the above |
| Answer» B. Drill | |
| 31. |
In which of the following cases will K-means clustering fail to give goodresults? 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. | |
| 32. |
Data science is the process of diverse set of data through ? |
| A. | organizing data |
| B. | processing data |
| C. | analysing data |
| D. | All of the above |
| Answer» E. | |
| 33. |
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 | |
| 34. |
To find the minimum or the maximum of a function, we set the gradient tozero 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 | |
| 35. |
Which of the following are the Data Sources in data science? |
| A. | Structured |
| B. | Unstructured |
| C. | Both A and B |
| D. | None Of the above |
| Answer» D. None Of the above | |
| 36. |
The model will be trained with data in one single batch is known as ? |
| A. | Batch learning |
| B. | Offline learning |
| C. | Both A and B |
| D. | None of the above |
| Answer» D. None of the above | |
| 37. |
Data can be visualized using? |
| A. | graphs |
| B. | charts |
| C. | maps |
| D. | All of the above |
| Answer» E. | |
| 38. |
The goal of business intelligence is to allow easy interpretation of largevolumes of data to identify new opportunities. |
| A. | TRUE |
| B. | FALSE |
| C. | Can be true or false |
| D. | Can not say |
| Answer» B. FALSE | |
| 39. |
Which of the following model model include a backwards elimination featureselection routine? |
| A. | MCV |
| B. | MARS |
| C. | MCRS |
| D. | All of the Mentioned |
| Answer» C. MCRS | |
| 40. |
Which method shows hierarchical data in a nested format? |
| A. | Treemaps |
| B. | Scatter plots |
| C. | Population pyramids |
| D. | Area charts |
| Answer» B. Scatter plots | |
| 41. |
Which is used to inference for 1 proportion using normal approx? |
| A. | fisher.test() |
| B. | chisq.test() |
| C. | Lm.test() |
| D. | prop.test() |
| Answer» E. | |
| 42. |
Which of the following is the common goal of statistical modelling? |
| A. | Inference |
| B. | Summarizing |
| C. | Subsetting |
| D. | None of the above |
| Answer» B. Summarizing | |
| 43. |
When performing regression or classification, which of the following is thecorrect 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 | |
| 44. |
Which of the following is one of the key data science skills? |
| A. | Statistics |
| B. | Machine Learning |
| C. | Data Visualization |
| D. | All of the above |
| Answer» E. | |
| 45. |
Text Analytics, also referred to as Text Mining? |
| A. | TRUE |
| B. | FALSE |
| C. | Can be true or false |
| D. | Can not say |
| Answer» B. FALSE | |
| 46. |
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 | |
| 47. |
Real time data is ______. |
| A. | Field |
| B. | Primary Key |
| C. | unique |
| D. | record |
| Answer» D. record | |
| 48. |
Which of the following model is usually a gold standard for data analysis? |
| A. | Inferential |
| B. | Descriptive |
| C. | Causal |
| D. | All of the above |
| Answer» D. All of the above | |
| 49. |
Which of the following is a key characteristic of a hacker? |
| A. | Afraid to say they don't know the answer |
| B. | Willing to find answers on their own |
| C. | Not Willing to find answers on their own |
| D. | All of the above |
| Answer» C. Not Willing to find answers on their own | |
| 50. |
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. | |