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NEW QUESTION: 1
Which cloud enabling network service provides rich network interaction to applications?
A. Cisco ASA
B. Cisco Hosted Collaboration Solution
C. Cisco Unified Survivable Remote Site Telephony
D. Cisco One Platform Kit API set
Answer: D

NEW QUESTION: 2
You need to define an evaluation strategy for the crowd sentiment models.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

Answer:
Explanation:

Explanation:
Scenario:
Experiments for local crowd sentiment models must combine local penalty detection data.
Crowd sentiment models must identify known sounds such as cheers and known catch phrases. Individual crowd sentiment models will detect similar sounds.
Note: Evaluate the changed in correlation between model error rate and centroid distance In machine learning, a nearest centroid classifier or nearest prototype classifier is a classification model that assigns to observations the label of the class of training samples whose mean (centroid) is closest to the observation.
References:
https://en.wikipedia.org/wiki/Nearest_centroid_classifier
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/sweep-clustering
Topic 2, Two Case study
Overview
You are a data scientist for Fabrikam Residences, a company specializing in quality private and commercial property in the United States. Fabrikam Residences is considering expanding into Europe and has asked you to investigate prices for private residences in major European cities. You use Azure Machine Learning Studio to measure the median value of properties. You produce a regression model to predict property prices by using the Linear Regression and Bayesian Linear Regression modules.
Datasets
There are two datasets in CSV format that contain property details for two cities, London and Paris, with the following columns:

The two datasets have been added to Azure Machine Learning Studio as separate datasets and included as the starting point of the experiment.
Dataset issues
The AccessibilityToHighway column in both datasets contains missing values. The missing data must be replaced with new data so that it is modeled conditionally using the other variables in the data before filling in the missing values.
Columns in each dataset contain missing and null values. The dataset also contains many outliers. The Age column has a high proportion of outliers. You need to remove the rows that have outliers in the Age column. The MedianValue and AvgRoomsinHouse columns both hold data in numeric format. You need to select a feature selection algorithm to analyze the relationship between the two columns in more detail.
Model fit
The model shows signs of overfitting. You need to produce a more refined regression model that reduces the overfitting.
Experiment Requirements
You must set up the experiment to cross-validate the Linear Regression and Bayesian Linear Regression modules to evaluate performance.
In each case, the predictor of the dataset is the column named MedianValue. An initial investigation showed that the datasets are identical in structure apart from the MedianValue column. The smaller Paris dataset contains the MedianValue in text format, whereas the larger London dataset contains the MedianValue in numerical format. You must ensure that the datatype of the MedianValue column of the Paris dataset matches the structure of the London dataset.
You must prioritize the columns of data for predicting the outcome. You must use non-parameters statistics to measure the relationships.
You must use a feature selection algorithm to analyze the relationship between the MedianValue and AvgRoomsinHouse columns.
Model training
Given a trained model and a test dataset, you need to compute the permutation feature importance scores of feature variables. You need to set up the Permutation Feature Importance module to select the correct metric to investigate the model's accuracy and replicate the findings.
You want to configure hyperparameters in the model learning process to speed the learning phase by using hyperparameters. In addition, this configuration should cancel the lowest performing runs at each evaluation interval, thereby directing effort and resources towards models that are more likely to be successful.
You are concerned that the model might not efficiently use compute resources in hyperparameter tuning. You also are concerned that the model might prevent an increase in the overall tuning time. Therefore, you need to implement an early stopping criterion on models that provides savings without terminating promising jobs.
Testing
You must produce multiple partitions of a dataset based on sampling using the Partition and Sample module in Azure Machine Learning Studio. You must create three equal partitions for cross-validation. You must also configure the cross-validation process so that the rows in the test and training datasets are divided evenly by properties that are near each city's main river. The data that identifies that a property is near a river is held in the column named NextToRiver. You want to complete this task before the data goes through the sampling process.
When you train a Linear Regression module using a property dataset that shows data for property prices for a large city, you need to determine the best features to use in a model. You can choose standard metrics provided to measure performance before and after the feature importance process completes. You must ensure that the distribution of the features across multiple training models is consistent.
Data visualization
You need to provide the test results to the Fabrikam Residences team. You create data visualizations to aid in presenting the results.
You must produce a Receiver Operating Characteristic (ROC) curve to conduct a diagnostic test evaluation of the model. You need to select appropriate methods for producing the ROC curve in Azure Machine Learning Studio to compare the Two-Class Decision Forest and the Two-Class Decision Jungle modules with one another.

NEW QUESTION: 3
The default publisher on your system is:

You want to update the Oracle Solaris 11 environment on your system, but you are not able to connect this system to the Internet to access the default Oracle repository. A repository has been created on your local network and is named http://server1.example.com.
Which command would you choose to connect your system to the local repository?
A. pkg set-publisher to set the stickiness on the http://server1.example.com publisher and unset stickiness for http://pkg.oracle.com/solaris/release
B. pkg add-publisher to add the new publisher
C. pkg publisher to specify the new publisher
D. pkg set-publisher to set the origin for the publisher
Answer: D
Explanation:
Explanation/Reference:
Explanation:
Solaris 11 Express makes it pretty easy to set up a local copy of the repository.
A common reason folks need access to a local repository is because their system is not connected to the Internet.
Tthe pkg set-publisher command can be used to for example add a publisher or to enable or disable a publisher.
Note: Example Adding a Publisher
Use the -g option to specify the publisher origin URI.
# pkg set-publisher -g http://pkg.example.com/release example.com
Example Specifying the Preferred Publisher
Use the -P option to specify a publisher as the preferred publisher. The specified publisher moves to the top of the search order. You can specify the -P option when you add a publisher or you can modify an existing publisher.
# pkg set-publisher -P example.com
Example Enabling or Disabling a Publisher
Use the -d option to disable a publisher. The preferred publisher cannot be disabled. A disabled publisher is not used in package operations such as list and install. You can modify the properties of a disabled publishers.
Use the -e option to enable a publisher.
# pkg set-publisher -d example2.com

NEW QUESTION: 4
You have an Exchange Server 2013 organization.
You are troubleshooting an email delivery problem.
You need to disable temporarily the antimalware scanning on a server that has Exchange Server 2013 installed. The solution must ensure that the antimalware engine continues to download updates.
What should you run?
A. The New-MalwareFilterPolicy cmdlet
B. The Disable-Antimalwarescanning.psl script
C. The Set-TransportConfig cmdlet
D. The Set-MalwarServer cmdlet
Answer: D
Explanation:
Explanation/Reference:
Explanation:
Disable or Bypass Anti-Malware Scanning
Bypassing malware filtering should only be done when troubleshooting a problem. You should restore malware filtering after you have finished troubleshooting.