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NEW QUESTION: 1
You plan to create a database.
The database will be used by a Microsoft .NET application for a special event that will last
for two days.
During the event, data must be highly available.
After the event, the database will be deleted.
You need to recommend a solution to implement the database while minimizing costs. The
solution must not affect any existing applications. What should you recommend?
More than one answer choice may achieve the goal. Select the BEST answer.
A. SQL Server 2014 Standard
B. SQL Server 2014 Enterprise
C. SQL Server 2014 Express with Advanced Services
D. SQL Azure
Answer: A
Explanation:
Programmability (AMO, ADOMD.Net, OLEDB, XML/A, ASSL) supported by Standard and Enterprise editions only.
Reference: Features Supported by the Editions of SQL Server 2014
NEW QUESTION: 2
Your network contains a server that runs Windows Server 2008 R2. The server has two host bus adaptors (HBAs). Each HBA is attached to a different switch.
The network contains a Storage Area Network (SAN).
You need to configure the server to use multiple paths to access the SAN.
Which tool should you use?
A. Diskpart
B. Dism
C. Netsh
D. Mpclaim
Answer: D
Explanation:
Using the MPclaim command-line tool
Multipath I/O can be managed by using the MPclaim command-line tool.
Note.
The command line is the only method of Multipath I/O configuration available on computers
running a Server Core installation of Windows Server 2008.
Syntax of MPclaimmpclaimrestart_optioninstall_switchdevice_switchdevice_hwid
MPclaim parameters The following table describes the command parameters you can use
with the MPclaim command to manage Multipath I/O by using a command line.
Source: http://technet.microsoft.com/en-us/library/cc725907.aspx
NEW QUESTION: 3
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have an Azure ML experiment that contains an intermediate dataset.
You need to explore data from the intermediate dataset by using Jupyter.
Solution: You add a Convert to CSV module to the Azure ML experiment and then open the module output in a new notebook.
Does this meet the goal?
A. Yes
B. No
Answer: A
Explanation:
Explanation/Reference:
Explanation:
Access intermediate datasets from Machine Learning experiments
The following steps show an example that creates an experiment, runs it and accesses the intermediate dataset.
1. Create a new experiment.
2. Insert an Adult Census Income Binary Classification dataset module.
3. Insert a Split module, and connect its input to the dataset module output.
4. Insert a Convert to CSV module and connect its input to one of the Split module outputs.
5. Save the experiment, run it, and wait for it to finish running.
6. Click the output node on the Convert to CSV module.
7. When the context menu appears, select Generate Data Access Code
8. Select the code snippet and copy it to your clipboard from the window that appears..
9. Paste the code in your notebook.
Note: After an experiment is run in the Machine Learning Studio, it is possible to access the intermediate datasets from the output nodes of modules. Intermediate datasets are data that has been created and used for intermediate steps when a model tool has been run.
Intermediate datasets can be accessed as long as the data format is compatible with the Python client library.
The following formats are supported (constants for these are in the azureml.DataTypeIds class):
PlainText
GenericCSV
GenericTSV
GenericCSVNoHeader
GenericTSVNoHeader
References: https://docs.microsoft.com/en-us/azure/machine-learning/team-data-science-process/python- data-access
NEW QUESTION: 4
A. Option B
B. Option A
C. Option D
D. Option C
Answer: B
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Aalk - 2014-05-05 16:45:18
Plato - 2014-05-05 16:45:51
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