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Service registration can happen by how many ways
Openadmin asked 5 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?
Openadmin asked 5 years ago • 
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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.
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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?
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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?
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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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