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NEW QUESTION: 1
どちらが正しいですか? (2つ選択してください。)
A. USER_OBJECTSビューは、ビューをクエリするユーザーが作成したテーブルとビューに関する情報を提供できます。
B. DICTIONARYは、ユーザーがアクセスできるすべてのデータディクショナリビューの名前を含むビューです。
C. ユーザーSYSTEMは、データディクショナリのすべてのベーステーブルとユーザーがアクセスできるビューを所有しています。
D. USER_SYNONYMSビューは、プライベートシノニムに関する情報を提供できます。
E. v $で始まるすべての動的パフォーマンスビューには、すべてのデータベースユーザーがアクセスできます。
Answer: A,D

NEW QUESTION: 2
A user telephones your help desk. She has just accidentally deleted a file she was working on earlier that day.
You have configured her computer to carry out backups every evening, and you installed a new graphics driver two days ago.
How should you advise the user to retrieve her file?
A. Open her Recycle Bin, right-click the file, and choose Restore.
B. Perform a system restore.
C. Use the Restore Previous Versions feature to restore the file.
D. Open the Backup And Restore console and restore the file from backup.
Answer: A
Explanation:
Explanation/Reference:
10281 40179

NEW QUESTION: 3
DRAG DROP
You need to insert code at line WR16 to implement the GetWork method.
How should you complete the relevant code? To answer, drag the appropriate code segment to the correct location. 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.

Answer:
Explanation:

==============================================
Topic 1, Web-based Solution
Background
You are developing a web-based solution that students and teachers can use to collaborate on written assignments. Teachers can also use the solution to detect potential plagiarism, and they can manage assignments and data by using locally accessible network shares.
Business Requirements
The solution consists of three parts: a website where students work on assignments and where teachers view and grade assignments, the plagiarism detection service, and a connector service to manage data by using a network share.
The system availability agreement states that operating hours are weekdays between midnight on Sunday and midnight on Friday.
Plagiarism Service
The plagiarism detection portion of the solution compares a new work against a repository of existing works. The initial dataset contains a large database of existing works. Teachers upload additional works. In addition, the service itself searches for other works and adds those works to the repository.
Technical Requirements
Website
The website for the solution must run on an Azure web role.
Plagiarism Service
The plagiarism detection service runs on an Azure worker role. The computation uses a random number generator. Certain values can result in an infinite loop, so if a particular work item takes longer than one hour to process, other instances of the service must be able to process the work item. The Azure worker role must fully utilize all available CPU cores. Computation results are cached in local storage resources to reduce computation time.
Repository of Existing Works
The plagiarism detection service works by comparing student submissions against a repository of existing works by using a custom matching algorithm. The master copies of the works are stored in Azure blob storage. A daily process synchronizes files between blob storage and a file share on a virtual machine (VM). As part of this synchronization, the
ExistingWorkRepository object adds the files to Azure Cache to improve the display performance of the website. If a student's submission is overdue, the Late property is set to the number of days that the work is overdue. Work files can be downloaded by using the
Work action of the TeacherController object
Network Connector
Clients can interact with files that are stored on the VM by using a network share. The network permissions are configured in a startup task in the plagiarism detection service.
Service Monitoring
The CPU of the system on which the plagiarism detection service runs usually limits the plagiarism detection service. However, certain combinations of input can cause memory issues, which results in decreased performance. The average time for a given computation is 45 seconds. Unexpected results during computations might cause a memory dump.
Memory dump files are stored in the Windows temporary folder on the VM that hosts the worker role.
Security
Only valid users of the solution must be able to view content that users submit. Privacy regulations require that all content that users submit must be retained only in Azure
Storage. All documents that students upload must be signed by using a certificate named
DocCert that is installed in both the worker role and the web role.
Solution Development
You use Microsoft Visual Studio 2013 and the Azure emulator to develop and test both the compute component and the storage component. New versions of the solution must undergo testing by using production data.
Scaling
During non-operating hours, the plagiarism detection service should not use more than 40
CPU cores. During operating hours, the plagiarism detection service should automatically scale when 500 work items are waiting to be processed. To facilitate maintenance of the system, no plagiarism detection work should occur during non-operating hours. All
ASP.NET MVC actions must support files that are up to 2 GB in size.
Biographical Information
Biographical information about students and teachers is stored in a Microsoft Azure SQL database. All services run in the US West region. The plagiarism detection service runs on
Extra Large instances.
Solution Structure
Relevant portions of the solution files are shown in the following code segments. Line numbers in the code segments are included for reference only and include a two-character prefix that denotes the specific file to which the line belongs.







==============================================

NEW QUESTION: 4
ある会社がAmazonのDynamoDBテーブルに販売取引データを格納しています。異常な動作を検出して迅速に対応するには、DynamoDBテーブルに格納されている項目に対するすべての変更を30分以内にログに記録する必要があります。
どのソリューションが要件を満たしていますか?
A. Amazon CloudWatchイベントのイベントパターンを使用して、AWS Lambda関数を使用してDynamoDB API呼び出しイベントを動作を分析するためのターゲットとしてキャプチャします。異常な動作が検出されたときにSNS通知を送信します。
B. 1時間ごとにDynamoDBテーブルをAmazon EMRのApache Hiveテーブルにコピーし、それらを異常な動作について分析します。異常な動作が検出されたときにAmazon SNS通知を送信します。
C. Amazon DynamoDBストリームを使用してAWS Lambdaに更新をキャプチャして送信します。 Amazon Kinesis Data Streamsにレコードを出力するためのLambda関数を作成します。 Amazon Kinesis Data Analyticsを使用して異常を分析します。異常な動作が検出されたときにSNS通知を送信します。
D. AWS CloudTrailを使用してDynamoDBテーブルを変更するすべてのAPIをキャプチャします。 CloudTrailイベントフィルタリングを使用して異常な動作が検出されたときにSNS通知を送信します。
Answer: A