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NEW QUESTION: 1
During the upgrade from SharePoint 2013 to SharePoint 2016, you discover there is a missing feature.
You review the logs and observe the following error message:
Message: Database [WSS_ Contoso_OR01] has reference(s) to a missing feature: Id = [4be9a980-965f-
486f-9eda-074e284875d7].
Remedy: The feature with Id 4be9a980-965f-486f-9eda-074e284875d7 is referenced in the database
[WSS_ Contoso_OR01], but is not installed on the current farm.
The missing feature may cause upgrade to fail. Please install any solution which contains the feature and restart upgrade if necessary.
You need to identify the page that is missing the feature.
Which of the following will identify the page?
A. On the SharePoint Server, run the following Windows PowerShell command: Test- SPContentDatabase-Name $dbName -WebApplication $wa | Select Category, Message | Where
{$_.Category -eq "MissingFeature"}
B. On the SharePoint Server, run the following Windows PowerShell command: Test- SPContentDatabase-Name $dbName ;-WebApplication $wa | Select Category, Message | Where
{$_.Category -eq "MissingFeature"}
C. On the SQL Server, run the following SQL syntax against WSS_Contoso_OR01: SELECT FeatureID, FullURL FROM WebsINNER JOIN FeaturesON Webs.Id = Features.WebIdWHERE FeatureID
'4be9a980-965f-486f-9eda-074e284875d7'ORDER BY FeatureID
D. On the SharePoint Server, review the Health Analyzer and find the missing dependencies.
Answer: A
NEW QUESTION: 2
A financial clerk is posting an FI-CA document.
Which scenarios can be posted? (Choose three)
A. The document has two business partner items totaling $25 and two general ledger items totaling $25.
B. The document has two business partner items totaling $0 and one general ledger item totaling $25.
C. The document has two business partner items totaling $25 and one general ledger item totaling $25.
D. The document has statistical general ledger items totaling $25.
E. The document has one statistical business partner item totaling $25.
Answer: A,C,E
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 sections, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
Your network contains an Active Directory domain named contoso.com. The domain contains a DHCP server named Server1. All client computers run Windows 10 and are configured as DHCP clients.
Your helpdesk received calls today from users who failed to access the network from their Windows 10 computer.
You open the DHCP console as shown in the exhibit. (Click the Exhibit button.)
You need to ensure that all of the Windows 10 computers can receive a DHCP lease.
Solution: You start the DHCP Server service.
Does this meet the goal?
A. Yes
B. No
Answer: B
Explanation:
Explanation/Reference:
Explanation:
https://technet.microsoft.com/en-us/library/dd183581(v=ws.10).aspx
NEW QUESTION: 4
行数をrow_countという名前のメトリックとして記録する必要があります。このメトリックは、実験の実行が完了した後、Runオブジェクトのget_metricsメソッドを使用して返すことができます。どのコードを使用する必要がありますか?
A. run.log('row_count', rows)
B. run.tag('row_count', rows)
C. run.log_row('row_count', rows)
D. run.log_table('row_count', rows)
E. run.upload_file('row_count', './data.csv')
Answer: A
Explanation:
Log a numerical or string value to the run with the given name using log(name, value, description=''). 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)
Incorrect Answers:
E: Using log_row(name, description=None, **kwargs) creates a metric with multiple columns as described in kwargs. Each named parameter generates a column with the value specified. log_row can be called once to log an arbitrary tuple, or multiple times in a loop to generate a complete table.
Example: run.log_row("Y over X", x=1, y=0.4)
Reference:
https://docs.microsoft.com/en-us/python/api/azureml-core/azureml.core.run