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NEW QUESTION: 1
LAW1という名前のAzure Log Analyticsワークスペースを含むSub1という名前のAzureサブスクリプションがあります。
Windows Server 2016を実行し、LAW1に登録されている500個のAzure仮想マシンがあります。
システム更新評価ソリューションをLAW1に追加する予定です。
System Update Assessment関連のログは、100台の仮想マシンからのみLAW1にアップロードされるようにする必要があります。
順番に実行する必要がある3つのアクションはどれですか？回答するには、適切なアクションをアクションのリストから回答エリアに移動し、正しい順序に並べます。
Answer:
Explanation:
Explanation
References:
https://docs.microsoft.com/en-us/azure/azure-monitor/insights/solution-targeting
NEW QUESTION: 2
A network engineer is setting up a network for a company. There is a BYOD policy for the employees so that they can connect their laptops and mobile devices.
Which of the following technologies should be employed to separate the administrative network from the network in which all of the employees' devices are connected?
A. VLAN
B. VPN
C. WPA2
D. MAC filtering
Answer: A
Explanation:
A virtual local area network (VLAN) is a hardware-imposed network segmentation created by switches. VLANs are used for traffic management. Communications between ports within the same VLAN occur without hindrance, but communications between VLANs require a routing function.
NEW QUESTION: 3
Which protocol is integrated with Isilon OneFS to provide on-access file functionality?
A. ICAP
B. HTTPS
C. REST
D. IANA
Answer: A
NEW QUESTION: 4
You plan to explore demographic data for home ownership in various cities. The data is in a CSV file with the following format:
age,city,income,home_owner
21,Chicago,50000,0
35,Seattle,120000,1
23,Seattle,65000,0
45,Seattle,130000,1
18,Chicago,48000,0
You need to run an experiment in your Azure Machine Learning workspace to explore the data and log the results. The experiment must log the following information:
* the number of observations in the dataset
* a box plot of income by home_owner
* a dictionary containing the city names and the average income for each city You need to use the appropriate logging methods of the experiment's run object to log the required information.
How should you complete the code? To answer, drag the appropriate code segments to the correct locations. Each code segment may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Box 1: log
The number of observations in the dataset.
run.log(name, value, description='')
Scalar values: Log a numerical or string value to the run with the given name. Logging a metric to a run causes that metric to be stored in the run record in the experiment. You can log the same metric multiple times within a run, the result being considered a vector of that metric.
Example: run.log("accuracy", 0.95)
Box 2: log_image
A box plot of income by home_owner.
log_image Log an image to the run record. Use log_image to log a .PNG image file or a matplotlib plot to the run. These images will be visible and comparable in the run record.
Example: run.log_image("ROC", plot=plt)
Box 3: log_table
A dictionary containing the city names and the average income for each city.
log_table: Log a dictionary object to the run with the given name.
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