Mahout MCQs and Answers With Explanation: Mahout is a powerful open-source machine learning framework that is widely used in various industries to analyze and process large datasets. To master this technology, it is crucial to have a thorough understanding of its concepts and functionalities. The Mahout MCQs and answers provide a comprehensive resource for individuals to test and improve their knowledge of the technology.
Mahout MCQs and Answers
In this Mahout Quiz, we have compiled the top 65 Mahout MCQs and answers to help individuals enhance their proficiency in this field. These Mahout Multiple Choice Questions and Answers come with detailed explanations that will assist users in comprehending the fundamentals of Mahout.
| Join Telegram |  |
| Join Whatsapp Groups |  |
Mahout Multiple Choice Questions and Answers
| Name | Mahout |
| Exam Type | MCQ (Multiple Choice Questions) |
| Category | Technical Quiz |
| Mode of Quiz | Online |
Top 65 Mahout MCQs
1. Which of the following is a popular machine learning framework that supports scalable and efficient implementation of various algorithms on Hadoop?
A) Spark
B) Hive
C) Pig
D) Mahout
Answer: D) Mahout
Explanation: Mahout is a popular machine learning framework that supports scalable and efficient implementation of various algorithms on Hadoop.
2. Which of the following algorithms is not supported by Mahout?
A) Collaborative Filtering
B) Naive Bayes
C) Decision Trees
D) Support Vector Machines
Answer: C) Decision Trees
Explanation: Decision Trees are not supported by Mahout.
3. Which of the following is the basic building block of Mahout?
A) Vector
B) Matrix
C) List
D) Array
Answer: A) Vector
Explanation: Vector is the basic building block of Mahout.
4. Which of the following algorithms is used in Mahout for recommendation?
A) Linear Regression
B) Logistic Regression
C) Singular Value Decomposition
D) K-Means
Answer: C) Singular Value Decomposition
Explanation: Singular Value Decomposition (SVD) is used in Mahout for recommendation.
5. Which of the following is an example of a clustering algorithm?
A) Linear Regression
B) Logistic Regression
C) K-Means
D) Decision Trees
Answer: C) K-Means
Explanation: K-Means is an example of a clustering algorithm.
6. Which of the following Mahout algorithms is used for document classification?
A) Naive Bayes
B) K-Means
C) Collaborative Filtering
D) Linear Regression
Answer: A) Naive Bayes
Explanation: Naive Bayes is used in Mahout for document classification.
7. Which of the following Mahout algorithms is used for clustering?
A) Collaborative Filtering
B) Naive Bayes
C) K-Means
D) Logistic Regression
Answer: C) K-Means
Explanation: K-Means is used in Mahout for clustering.
8. Which of the following is not a type of data model supported by Mahout?
A) Sparse Vectors
B) Dense Vectors
C) Boolean Vectors
D) Integer Vectors
Answer: D) Integer Vectors
Explanation: Integer Vectors are not a type of data model supported by Mahout.
9. Which of the following algorithms is used in Mahout for classification?
A) Linear Regression
B) Logistic Regression
C) K-Means
D) Singular Value Decomposition
Answer: B) Logistic Regression
Explanation: Logistic Regression is used in Mahout for classification.
10. Which of the following Mahout algorithms is used for frequent pattern mining?
A) K-Means
B) Naive Bayes
C) Apriori
D) Collaborative Filtering
Answer: C) Apriori
Explanation: Apriori is used in Mahout for frequent pattern mining.
11. Which of the following Mahout algorithms is used for dimensionality reduction?
A) Singular Value Decomposition
B) K-Means
C) Naive Bayes
D) Collaborative Filtering
Answer: A) Singular Value Decomposition
Explanation: Singular Value Decomposition is used in Mahout for dimensionality reduction.
12. Which of the following Mahout algorithms is used for outlier detection?
A) K-Means
B) Naive Bayes
C) Random Forest
D) Local Outlier Factor
Answer: D) Local Outlier Factor
Explanation: Local Outlier Factor is used in Mahout for outlier detection.
13. Which of the following Mahout algorithms is used for itemset mining?
A) K-Means
B) Naive Bayes
C) Apriori
D) Singular Value Decomposition
Answer: C) Apriori
Explanation: Apriori is used in Mahout for itemset mining.
14. Which of the following Mahout algorithms is used for sequence mining?
A) Naive Bayes
B) K-Means
C) Apriori
D) Sequential Pattern Mining
Answer: D) Sequential Pattern Mining
Explanation: Sequential Pattern Mining is used in Mahout for sequence mining.
15. Which of the following is the default recommendation algorithm in Mahout?
A) SVD
B) User-based Collaborative Filtering
C) Item-based Collaborative Filtering
D) All of the above
Answer: C) Item-based Collaborative Filtering
Explanation: Item-based Collaborative Filtering is the default recommendation algorithm in Mahout.
16. Which of the following Mahout algorithms is used for anomaly detection?
A) Naive Bayes
B) K-Means
C) Random Forest
D) Local Outlier Factor
Answer: D) Local Outlier Factor
Explanation: Local Outlier Factor is used in Mahout for anomaly detection.
17. Which of the following is the command to run Mahout on Hadoop?
A) hadoop mahout
B) mahout hadoop
C) mahout
D) hadoop
Answer: B) mahout hadoop
Explanation: The command to run Mahout on Hadoop is mahout hadoop.
18. Which of the following is not a component of Mahout?
A) Clustering
B) Classification
C) Regression
D) Association Rules
Answer: C) Regression
Explanation: Regression is not a component of Mahout.
19. Which of the following Mahout algorithms is used for topic modeling?
A) Latent Dirichlet Allocation
B) K-Means
C) Naive Bayes
D) Singular Value Decomposition
Answer: A) Latent Dirichlet Allocation
Explanation: Latent Dirichlet Allocation is used in Mahout for topic modeling.
20. Which of the following Mahout algorithms is used for feature extraction?
A) Singular Value Decomposition
B) K-Means
C) Naive Bayes
D) Collaborative Filtering
Answer: A) Singular Value Decomposition
Explanation: Singular Value Decomposition is used in Mahout for feature extraction.
21. Which of the following is a pre-processing step in Mahout?
A) Data Cleaning
B) Feature Extraction
C) Model Selection
D) Evaluation
Answer: A) Data Cleaning
Explanation: Data Cleaning is a pre-processing step in Mahout.
22. Which of the following Mahout algorithms is used for ensemble learning?
A) Naive Bayes
B) K-Means
C) Random Forest
D) Collaborative Filtering
Answer: C) Random Forest
Explanation: Random Forest is used in Mahout for ensemble learning.
23. Which of the following Mahout algorithms is used for regression analysis?
A) Linear Regression
B) Logistic Regression
C) K-Means
D) Singular Value Decomposition
Answer: A) Linear Regression
Explanation: Linear Regression is used in Mahout for regression analysis.
24. Which of the following Mahout algorithms is used for data clustering in a high-dimensional space?
A) K-Means
B) Canopy Clustering
C) Mean Shift Clustering
D) Agglomerative Hierarchical Clustering
Answer: B) Canopy Clustering
Explanation: Canopy Clustering is used in Mahout for data clustering in a high-dimensional space.
25. Which of the following Mahout algorithms is used for clustering documents based on their content?
A) K-Means
B) Latent Dirichlet Allocation
C) Naive Bayes
D) Collaborative Filtering
Answer: B) Latent Dirichlet Allocation
Explanation: Latent Dirichlet Allocation is used in Mahout for clustering documents based on their content.
26. Which of the following Mahout algorithms is used for building a decision tree?
A) Naive Bayes
B) K-Means
C) Random Forest
D) Decision Trees
Answer: D) Decision Trees
Explanation: Decision Trees is used in Mahout for building a decision tree.
27. Which of the following Mahout algorithms is used for collaborative filtering with explicit feedback?
A) User-based Collaborative Filtering
B) Item-based Collaborative Filtering
C) Matrix Factorization
D) All of the above
Answer: C) Matrix Factorization
Explanation: Matrix Factorization is used in Mahout for collaborative filtering with explicit feedback.
28. Which of the following Mahout algorithms is used for classification with multiple classes?
A) Naive Bayes
B) K-Means
C) Random Forest
D) Multilayer Perceptron
Answer: D) Multilayer Perceptron
Explanation: Multilayer Perceptron is used in Mahout for classification with multiple classes.
29. Which of the following Mahout algorithms is used for clustering based on density?
A) K-Means
B) Mean Shift Clustering
C) Agglomerative Hierarchical Clustering
D) DBSCAN
Answer: D) DBSCAN
Explanation: DBSCAN is used in Mahout for clustering based on density.
30. Which of the following Mahout algorithms is used for finding frequent itemsets?
A) K-Means
B) Naive Bayes
C) Apriori
D) Singular Value Decomposition
Answer: C) Apriori
Explanation: Apriori is used in Mahout for finding frequent itemsets.
31. Which of the following is the command to list all the available Mahout algorithms?
A) mahout list-algorithms
B) mahout help
C) mahout
D) mahout version
Answer: A) mahout list-algorithms
Explanation: The command to list all the available Mahout algorithms is mahout list-algorithms.
32. Which of the following Mahout algorithms is used for recommendation with implicit feedback?
A) User-based Collaborative Filtering
B) Item-based Collaborative Filtering
C) Matrix Factorization
D) All of the above
Answer: D) All of the above
Explanation: All of the above algorithms are used in Mahout for recommendation with implicit feedback.
33. Which of the following Mahout algorithms is used for clustering based on connectivity?
A) K-Means
B) Mean Shift Clustering
C) Agglomerative Hierarchical Clustering
D) Spectral Clustering
Answer: D) Spectral Clustering
Explanation: Spectral Clustering is used in Mahout for clustering based on connectivity.
34. Which of the following Mahout algorithms is used for dimensionality reduction with sparsity?
A) Singular Value Decomposition
B) K-Means
C) Naive Bayes
D) Random Forest
Answer: A) Singular Value Decomposition
Explanation: Singular Value Decomposition is used in Mahout for dimension
35. Which of the following Mahout algorithms is used for clustering with Mahalanobis distance?
A) K-Means
B) Mean Shift Clustering
C) Fuzzy K-Means
D) Canopy Clustering
Answer: C) Fuzzy K-Means
Explanation: Fuzzy K-Means is used in Mahout for clustering with Mahalanobis distance.
36. Which of the following Mahout algorithms is used for classification with binary classes?
A) Naive Bayes
B) K-Means
C) Random Forest
D) Logistic Regression
Answer: D) Logistic Regression
Explanation: Logistic Regression is used in Mahout for classification with binary classes.
37. Which of the following Mahout algorithms is used for clustering with hierarchical agglomerative clustering?
A) K-Means
B) Mean Shift Clustering
C) Agglomerative Hierarchical Clustering
D) DBSCAN
Answer: C) Agglomerative Hierarchical Clustering
Explanation: Agglomerative Hierarchical Clustering is used in Mahout for clustering with hierarchical agglomerative clustering.
38. Which of the following Mahout algorithms is used for feature scaling?
A) MinMaxScaler
B) StandardScaler
C) MaxAbsScaler
D) All of the above
Answer: D) All of the above
Explanation: All of the above algorithms are used in Mahout for feature scaling.
39. Which of the following Mahout algorithms is used for clustering with canopy clustering?
A) K-Means
B) Mean Shift Clustering
C) Fuzzy K-Means
D) Canopy Clustering
Answer: D) Canopy Clustering
Explanation: Canopy Clustering is used in Mahout for clustering with canopy clustering.
40. Which of the following Mahout algorithms is used for building a decision forest?
A) Naive Bayes
B) K-Means
C) Random Forest
D) Decision Trees
Answer: C) Random Forest
Explanation: Random Forest is used in Mahout for building a decision forest.
41. Which of the following Mahout algorithms is used for text classification?
A) Naive Bayes
B) K-Means
C) Random Forest
D) Multilayer Perceptron
Answer: A) Naive Bayes
Explanation: Naive Bayes is used in Mahout for text classification.
42. Which of the following Mahout algorithms is used for clustering with mean shift clustering?
A) K-Means
B) Mean Shift Clustering
C) Fuzzy K-Means
D) Canopy Clustering
Answer: B) Mean Shift Clustering
Explanation: Mean Shift Clustering is used in Mahout for clustering with mean shift clustering.
43. Which of the following Mahout algorithms is used for collaborative filtering with implicit feedback?
A) User-based Collaborative Filtering
B) Item-based Collaborative Filtering
C) Matrix Factorization
D) All of the above
Answer: D) All of the above
Explanation: All of the above algorithms are used in Mahout for collaborative filtering with implicit feedback.
44. Which of the following Mahout algorithms is used for dimensionality reduction with non-negative matrix factorization?
A) Singular Value Decomposition
B) K-Means
C) Naive Bayes
D) Non-Negative Matrix Factorization
Answer: D) Non-Negative Matrix Factorization
Explanation: Non-Negative Matrix Factorization is used in Mahout for dimensionality reduction with non-negative matrix factorization.
45. Which of the following Mahout algorithms is used for clustering with spectral clustering?
A) K-Means
B) Mean Shift Clustering
C) Spectral Clustering
D) DBSCAN
Answer: C) Spectral Clustering
Explanation: Spectral Clustering is used in Mahout for clustering with spectral clustering.
46. Which of the following Mahout algorithms is used for collaborative filtering with user-based similarity?
A) User-based Collaborative Filtering
B) Item-based Collaborative Filtering
C) Matrix Factorization
D) Non-Negative Matrix Factorization
Answer: A) User-based Collaborative Filtering
Explanation: User-based Collaborative Filtering is used in Mahout for collaborative filtering with user-based similarity.
47. Which of the following Mahout algorithms is used for clustering with k-medoids?
A) K-Means
B) Mean Shift Clustering
C) Fuzzy K-Means
D) K-Medoids
Answer: D) K-Medoids
Explanation: K-Medoids is used in Mahout for clustering with k-medoids.
48. Which of the following Mahout algorithms is used for collaborative filtering with item-based similarity?
A) User-based Collaborative Filtering
B) Item-based Collaborative Filtering
C) Matrix Factorization
D) Non-Negative Matrix Factorization
Answer: B) Item-based Collaborative Filtering
Explanation: Item-based Collaborative Filtering is used in Mahout for collaborative filtering with item-based similarity.
49. Which of the following Mahout algorithms is used for clustering with DBSCAN?
A) K-Means
B) Mean Shift Clustering
C) Fuzzy K-Means
D) DBSCAN
Answer: D) DBSCAN
Explanation: DBSCAN is used in Mahout for clustering with DBSCAN.
50. Which of the following Mahout algorithms is used for collaborative filtering with matrix factorization?
A) User-based Collaborative Filtering
B) Item-based Collaborative Filtering
C) Matrix Factorization
D) Non-Negative Matrix Factorization
Answer: C) Matrix Factorization
Explanation: Matrix Factorization is used in Mahout for collaborative filtering with matrix factorization.
51. Which of the following Mahout algorithms is used for classification with multiclass classes?
A) Naive Bayes
B) K-Means
C) Random Forest
D) Multilayer Perceptron
Answer: D) Multilayer Perceptron
Explanation: Multilayer Perceptron is used in Mahout for classification with multiclass classes.
52. Which of the following Mahout algorithms is used for clustering with fuzzy c-means?
A) K-Means
B) Mean Shift Clustering
C) Fuzzy K-Means
D) Canopy Clustering
Answer: C) Fuzzy K-Means
Explanation: Fuzzy K-Means is used in Mahout for clustering with fuzzy c-means.
53. Which of the following Mahout algorithms is used for anomaly detection with clustering?
A) K-Means
B) Mean Shift Clustering
C) Fuzzy K-Means
D) Spectral Clustering
Answer: A) K-Means
Explanation: K-Means is used in Mahout for anomaly detection with clustering.
54. Which of the following Mahout algorithms is used for dimensionality reduction with singular value decomposition?
A) Singular Value Decomposition
B) K-Means
C) Naive Bayes
D) Non-Negative Matrix Factorization
Answer: A) Singular Value Decomposition
Explanation: Singular Value Decomposition is used in Mahout for dimensionality reduction with singular value decomposition.
55. Which of the following Mahout algorithms is used for clustering with density-based clustering?
A) K-Means
B) Mean Shift Clustering
C) Fuzzy K-Means
D) DBSCAN
Answer: D) DBSCAN
Explanation: DBSCAN is used in Mahout for clustering with density-based clustering.
56. Which of the following Mahout algorithms is used for classification with random forests?
A) Naive Bayes
B) K-Means
C) Random Forest
D) Multilayer Perceptron
Answer: C) Random Forest
Explanation: Random Forest is used in Mahout for classification with random forests.
57. Which of the following Mahout algorithms is used for classification with naive Bayes?
A) Naive Bayes
B) K-Means
C) Random Forest
D) Multilayer Perceptron
Answer: A) Naive Bayes
Explanation: Naive Bayes is used in Mahout for classification with naive Bayes.
58. Which of the following Mahout algorithms is used for classification with support vector machines?
A) Naive Bayes
B) K-Means
C) Random Forest
D) Support Vector Machines
Answer: D) Support Vector Machines
Explanation: Support Vector Machines is used in Mahout for classification with support vector machines.
59. Which of the following Mahout algorithms is used for clustering with hierarchical clustering?
A) K-Means
B) Mean Shift Clustering
C) Fuzzy K-Means
D) Hierarchical Clustering
Answer: D) Hierarchical Clustering
Explanation: Hierarchical Clustering is used in Mahout for clustering with hierarchical clustering.
60. Which of the following Mahout algorithms is used for classification with logistic regression?
A) Naive Bayes
B) K-Means
C) Random Forest
D) Logistic Regression
Answer: D) Logistic Regression
Explanation: Logistic Regression is used in Mahout for classification with logistic regression.
61. Which of the following Mahout algorithms is used for clustering with affinity propagation clustering?
A) K-Means
B) Mean Shift Clustering
C) Fuzzy K-Means
D) Affinity Propagation Clustering
Answer: D) Affinity Propagation Clustering
Explanation: Affinity Propagation Clustering is used in Mahout for clustering with affinity propagation clustering.
62. Which of the following Mahout algorithms is used for classification with decision trees?
A) Naive Bayes
B) K-Means
C) Random Forest
D) Decision Trees
Answer: D) Decision Trees
Explanation: Decision Trees is used in Mahout for classification with decision trees.
63. Which of the following Mahout algorithms is used for clustering with streaming k-means clustering?
A) K-Means
B) Mean Shift Clustering
C) Fuzzy K-Means
D) Streaming K-Means Clustering
Answer: D) Streaming K-Means Clustering
Explanation: Streaming K-Means Clustering is used in Mahout for clustering with streaming k-means clustering.
64. Which of the following Mahout algorithms is used for clustering with fuzzy k-means clustering?
A) K-Means
B) Mean Shift Clustering
C) Fuzzy K-Means
D) Affinity Propagation Clustering
Answer: C) Fuzzy K-Means
Explanation: Fuzzy K-Means is used in Mahout for clustering with fuzzy k-means clustering.
65. Which of the following Mahout algorithms is used for classification with perceptron?
A) Naive Bayes
B) K-Means
C) Random Forest
D) Perceptron
Answer: D) Perceptron
Explanation: Perceptron is used in Mahout for classification with perceptron.
The Mahout MCQs and answers with explanations offer a valuable tool for individuals seeking to enhance their skills and knowledge in machine learning and data analysis. To expand your knowledge, please follow us at freshersnow.com.