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Service registration can happen by how many ways
Openadmin asked 3 years ago • 
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In server side discovery pattern, load balancing and routing of the request to the service instances is taken care of by the service discovery tool itself. Is it true or false?
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In distributed systems, knowing that partition can always occur, what kind of service discovery tool would you prefer?
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The process of consensus in distributed systems is essential to achieve
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In distributed systems, to service any Read / Write request, a leader node is mandatory. Is this statement correct ?
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Is it possible for any service discovery tool to satisfy all the three guarantees (Consistency, Availability, Partition) in a distributed environment?
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_ supports load balancing in addition to service discovery
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In _ pattern, clients connect with the backend services directly
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Identify the right service registry solutions that supports discovery
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Which of the registration patterns is best suited for complex architecture
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Service Discovery can perform the following for the services
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Identify the key aspects for a successful service discovery solution
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The standard approach to supervised learning is to split the set of example into the training set and the test
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SVM will not perform well with data with more noise because (select the best answer)
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If the outcome is binary(0/1), which model to be applied?
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The model in which one estimates the probability that the outcome variable assumes a certain value, rather than estimating the value itself.
Openadmin asked 3 years ago • 
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Which of them, best represents the property of Kernel?
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Which clustering technique requires prior knowledge of the number of clusters required?
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Which of the learning methodology applies conditional probability of all the variables with respective the dependent variable?
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Which methodology works with clear margins of separation points?
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What are different types of Supervised learning
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In Kernel trick method, We do not need the coordinates of the data in the feature space
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Which model helps SVM to implement the algorithm in high dimensional space?
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Correlation and regression are concerned with the relationship between _________
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SVM uses which method for pattern analysis in High dimensional space?
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If the outcome is continuous, which model to be applied?
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Effect of outlier on the correlation coefficient ______________
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Which type of the clustering could handle Big Data?
Openadmin asked 3 years ago
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Most famous technique used in Text mining is
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The correlation between two variables is given by r = 0.0. .
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For which one of these relationships could we use a regression analysis? Chose the correct one
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The main difficulty with using a regression line to analyze these data is _________________
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Now Can you make quick guess where Decision tree will fall into _____
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Consider a regression equation, Now which of the following could not be answered by regression?
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In a scenario, where the statistical model describes random error or noise instead of underlying relationship, what happens
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While running the same algorithm multiple times, which algorithm produces same results?
Openadmin asked 3 years ago • 
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Perceptron is _______________
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Kernel methods can be used for supervised and unsupervised problems
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Which helps SVM to implement the algorithm in high dimensional space?
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Does Logistic regression check for the linear relationship between dependent and independent variables ?
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