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NEW QUESTION: 1
You are solving a classification task.
The dataset is imbalanced.
You need to select an Azure Machine Learning Studio module to improve the classification accuracy.
Which module should you use?
A. Synthetic Minority Oversampling Teachnique (SMOTE)
B. Permutation Feature Importance
C. Filter Based Feature Selection
D. Fisher Linear Discriminant Analysis.
Answer: D
Explanation:
Topic 1, Case Study 2
Overwiew
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 m 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.
Datasets issues
The Accessibility ToHighway 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 datasets also contain 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 columms 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 over fitting. You need to produce a more refined regression model that reduces the over fitting.
Experiment requirement
You must set up the experiment to cross-validate the Linear Regression And Bayesian Linear Regression modules to evaluate performance.
In cacti 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 Paris dataset contains the MedianValue in text format, whereas the larger London dataset contains the Median Value in numerical format. You must ensure that the data type 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-parametric statistics to measure- the relationships.
You must use a feature selection algorithm to analyze the relationship between the MedianValue and AvgRoomslnHouse 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 melt to investigate the model's accuracy and replicate the findings.
You want to configure hyper parameters the model learning process to speed the learning phase by using hyper parameters. 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 computer resources in hyper parameter 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 Azure Machine Learning Studio You must create three partitions foe cross -validation. You must also configure 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 m 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 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 and 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 Jungle modules and the Two Class Decision Jungle modules with one another.

NEW QUESTION: 2
An IBM Content Manager user retrieves a document and receives an error.
Which of the following logs does NOT provide any information which may help to debug the issue?
A. icmrm.logfile
B. ICMSERVER log
C. SystemErr.log
D. cfgactions log
Answer: C

NEW QUESTION: 3
You have an Exchange Server 2010 SP1 organization. The organization contains five server.
The servers are configured as shown in the following table.

All users access their mailbox user Microsoft Outlook 2010.
You discover that email messages take a long time to be delivered to the internet. You also discover that there are many email messages waiting in transport queues.
You need to identify how long it takes for an email message to be delivered from server2 to server5.
Which cmdlet should you run?

A. Get-MailboxDatabase
B. Test-ServiceHealth
C. Test-OutlookWebServices
D. Get-MailboxStatistics
E. Get-Message
F. Test-SmtpConnectivity
G. Test-MapiConnectivity
H. Get-MailboxFolderStatistics
I. Test-MailFlow
J. Test-MRSHealth
K. Get-TransportServer
Answer: I
Explanation:
Explanation/Reference: Use the Test-Mailflow cmdlet to diagnose whether mail can be successfully sent from and delivered to the system mailbox on a computer that has the Mailbox server role installed. You can also use this cmdlet to verify that e-mail is sent between Mailbox servers within a defined latency threshold.
This example tests message flow from the server Mailbox1 to the server Mailbox2. Test-Mailflow Mailbox1 -TargetMailboxServer Mailbox2
http://technet.microsoft.com/en-us/library/aa995894.aspx

NEW QUESTION: 4
Ihr Netzwerk enthält eine Active Directory-Domäne mit dem Namen contoso.com.
Die Domäne enthält einen Server mit dem Namen Server1, auf dem Windows Server 2008 R2 ausgeführt wird.
Sie planen, Windows Server 2012 R2 mithilfe von virtuellen Festplatten (VHDs) für den systemeigenen Start zu testen.
Sie haben eine Windows-Abbilddatei mit dem Namen file1.wim.
Sie müssen file1.wim ein Image eines Volumes hinzufügen.
Was tun?
A. Führen Sie dism.exe aus und geben Sie den Parameter / append-image an.
B. Führen Sie dism.exe aus und geben Sie den Parameter / image an.
C. Führen Sie imagex.exe aus und geben Sie den Parameter / export an.
D. Führen Sie imagex.exe aus und geben Sie den Parameter / append an.
Answer: A
Explanation:
Das DISM-Tool (Deployment Image Servicing and Management) ist ein Befehlszeilentool, mit dem Windows-Abbilddateien (WIM-Dateien) für die Bereitstellung in einer Produktions- oder Unternehmens-IT-Umgebung erstellt werden können. Mit der Option / Append-Image wird ein Volume-Image an eine vorhandene WIM-Datei angehängt, sodass Sie viele benutzerdefinierte Windows-Images auf einem Bruchteil des Speicherplatzes speichern können. Wenn Sie zwei oder mehr Windows-Abbilddateien zu einer einzigen WIM-Datei kombinieren, werden alle zwischen den Abbildern duplizierten Dateien nur einmal gespeichert.
Falsch:
Not A, Not B: Imagex wurde ausgemustert und durch dism ersetzt.
Referenz: Anhängen eines Volume-Image an ein vorhandenes Image mithilfe von DISM
https://technet.microsoft.com/en-us/library/hh824916.aspx

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