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NEW QUESTION: 1
Which of the following Nmap commands will produce the following output?
Output:
A. nmap -sT -sX -Pn -p 1-65535 192.168.1.1
B. nmap -sS -sU -Pn -p 1-65535 192.168.1.1
C. nmap -sN -Ps -T4 192.168.1.1
D. nmap -sS -Pn 192.168.1.1
Answer: B
NEW QUESTION: 2
You administer a Microsoft SQL Server 2016 instance that has several SQL Server Agent jobs configured.
SQL Server Agent jobs fail, the error messages returned by the job steps are truncated.
The following error message is an example of the truncated error message:
" Executed as user CONTOSO\ServiceAccount. ...0.4035.00 for 64-bit Copyright (C) Microsoft Corp 1984-2011. All rights reserved. Started 63513 PM Error 2012-06-
2 3 183536.87 Code 0XC001000E Source UserImport Description Code 0x00000000 Source Log Import Activity Descript... The package execution fa... The step failed."
You need to ensure that all the details of the job step failures are retained for SQL Server Agent jobs.
What should you do?
A. Configure output files.
B. Disable the Limit size of job history log feature.
C. Expand agent logging to include information from all events.
D. Configure event forwarding.
Answer: A
Explanation:
Explanation/Reference:
When you have a multiple-step job, then log all steps against a single file. Check the 'Append output to existing file' checkbox for all steps in the job that execute after the initial step. This results in a log file with all of the job steps from the last job execution. Each time the first step executes (each time the job is kicked-off) the file will be overwritten, so we have a record of the last set of output.
References: https://www.mssqltips.com/sqlservertip/1411/verbose-sql-server-agent-logging/
NEW QUESTION: 3
注：この質問は、同じシナリオを提示する一連の質問の一部です。シリーズの各質問には、指定された目標を達成する可能性のある独自のソリューションが含まれています。一部の質問セットには複数の正しい解決策がある場合がありますが、他の質問セットには正しい解決策がない場合があります。
このセクションの質問に回答した後は、その質問に戻ることはできません。その結果、これらの質問はレビュー画面に表示されません。
Subscription1という名前のAzureサブスクリプションがあります。 Subscription1には、RG1という名前のリソースグループが含まれています。 RG1には、テンプレートを使用してデプロイされたリソースが含まれています。
RG1でリソースが作成された日時を表示する必要があります。
解決策：[サブスクリプション]ブレードからサブスクリプションを選択し、[リソースプロバイダー]をクリックします。
これは目標を達成していますか？
A. はい
B. いいえ
Answer: B
Explanation:
Through activity logs, you can determine:
* what operations were taken on the resources in your subscription
* who started the operation
* when the operation occurred
* the status of the operation
* the values of other properties that might help you research the operation
1. On the Azure portal menu, select Monitor, or search for and select Monitor from any page
2. Select Activity Log.
3. You see a summary of recent operations. A default set of filters is applied to the operations. Notice the information on the summary includes who started the action and when it happened.
Reference:
https://docs.microsoft.com/en-us/azure/azure-resource-manager/management/view-activity-logs
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.