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NEW QUESTION: 1

A. Option A
B. Option C
C. Option B
D. Option D
E. Option E
Answer: A,E
Explanation:
* Scenario:
/ Mitigate the need to purchase additional tools for monitoring and debugging.
/A debugger must automatically attach to websites on a weekly basis. The scripts that handle the configuration and setup of debugging cannot work if there is a delay in attaching the debugger.
A: After publishing your application you can use the Server Explorer in Visual Studio to access your web sites.
After signing in you will see your Web Sites under the Windows Azure node in Server Explorer.
Right click on the site that you would like to debug and select Attach Debugger.
E: When the processes appear in the Available Processes table, select w3wp.exe, and then click Attach.
Open a browser to the URL of your web app.
References: http://blogs.msdn.com/b/webdev/archive/2013/11/05/remote-debugging-a-window- azure-web-site-with-visual-studio-2013.aspx Case Study: 14 Trey Research Inc, Case C Background You are software architect for Trey Research Inc, a Software as a service (SaaS) company that provides text analysis services. Trey Research Inc, has a service that scans text documents and analyzes the content to determine content similarities. These similarities are referred to as categories, and indicate groupings on authorship, opinions, and group affiliation.
The document scanning solution has an Azure Web App that provides the user interface. The web app includes the following pages:
* Document Uploads: This page allows customers to upload documents manually.
* Document Inventory: This page shows a list of all processed documents provided by a customer. The page can be configured to show documents for a selected category.
* Documents Upload Sources: This page shows a map and information about the geographic distribution of uploaded documents. This page allows users to filter the map based on assigned categories.
The web application is instrumented with Azure Application Insight. The solution uses Cosmos DB for data storage.
Changes to the web application and data storage are not permitted.
The solution contains an endpoint where customers can directly upload documents from external systems.
Document Processing
Source Documents
Documents must be in a specific formate before they are uploaded to the system. The first four lines of the document must contain the following information. If any of the first four lines are missing or invalid, the document must not be processed.
* the customer account number
* the user who uploaded the document
* the IP address of the person who created the document
* the date and time the document was created
The remaining portion of the documents contain the content that must be analyzed. prior to processing by the Azure Data Factory pipeline, the document text must be normalized so that words have spaces between them.
Document Uploads
During the document upload process, the solution must capture information about the geographic location where documents originate. Processing of documents must be automatically triggered when documents are uploaded. Customers must be notified when analysis of their uploaded documents begins.
Uploaded documents must be processed using Azure Machine Learning Studio in an Azure Data Factory pipeline. The machine learning portion of the pipeline is uploaded once a quarter.
When document processing is complete, the documents and the results of the analysis process must be visible.
Other requirements
Business Analysis
Trey Research Inc. business analysis must be able to review processed documents, and analyze data by using Microsoft Excel.
Business analysis must be able to discover data across the enterprise regardless of where the data resides.
Data Science
Data scientists must be able to analyze results without charging the deployed application. The data scientists must be able to analyze results without being connected to the Internet.
Security and Personally Identifiable Information (PII)
* Access to the analysis results must be limited to the specific customer account of the user that originally uploaded the documents.
* All access and usage of analysis results must be logged. Any unusual activity must be detected.
* Documents must not be retained for more than 100 hours.
Operations
* All application logs, diagnostic data, and system monitoring must be available in a single location.
* Logging and diagnostic information must be reliably processed.
* The document upload time must be tracked and monitored.

NEW QUESTION: 2
部門は会社のログファイルから定期的な分析レポートを作成します。すべてのログデータはAmazon S3で収集され、Amazon RedshiftデータウェアハウスのCSV形式の日次PDFレポートと集計テーブルを生成する毎日のAmazon Elastic MapReduce（EMR）ジョブによって処理されます。
CFOは、このシステムのコスト構造を最適化することを要求します。
システムの平均パフォーマンスや生データのデータ整合性を損なうことなくコストを削減できる代替手段は次のうちどれですか？
A. Amazon S3のすべてのデータに冗長性削減ストレージ（RRS）を使用します。 Amazon EMRジョブにスポットインスタンスを追加します。 Amazon Redshiftのリザーブドインスタンスを使用します。
B. PDFおよび.csvデータにAmazon S3の冗長性削減ストレージ（RRS）を使用します。 Amazon EMRジョブにスポットインスタンスを追加します。 Amazon Redshiftのリザーブドインスタンスを使用します。
C. S3のPDFおよび.csvデータには、冗長性削減ストレージ（RRS）を使用します。スポットインスタンスをEMRジョブに追加します。
Amazon Redshiftのスポットインスタンスを使用します。
D. S3のすべてのデータに冗長性削減ストレージ（RRS）を使用します。 Amazon EMRジョブには、スポットインスタンスとリザーブドインスタンスの組み合わせを使用します。 Amazon Redshiftのリザーブドインスタンスを使用します。
Answer: B
Explanation:
Explanation
Using Reduced Redundancy Storage Amazon S3 stores objects according to their storage class. It assigns the storage class to an object when it is written to Amazon S3. You can assign objects a specific storage class (standard or reduced redundancy) only when you write the objects to an Amazon S3 bucket or when you copy objects that are already stored in Amazon S3. Standard is the default storage class. For information about storage classes, see Object Key and Metadata.
In order to reduce storage costs, you can use reduced redundancy storage for noncritical, reproducible data at lower levels of redundancy than Amazon S3 provides with standard storage. The lower level of redundancy results in less durability and availability, but in many cases, the lower costs can make reduced redundancy storage an acceptable storage solution. For example, it can be a cost-effective solution for sharing media content that is durably stored elsewhere. It can also make sense if you are storing thumbnails and other resized images that can be easily reproduced from an original image.
Reduced redundancy storage is designed to provide 99.99% durability of objects over a given year. This durability level corresponds to an average annual expected loss of 0.01% of objects. For example, if you store
10,000 objects using the RRS option, you can, on average, expect to incur an annual loss of a single object per year (0.01% of 10,000 objects).
Note:
This annual loss represents an expected average and does not guarantee the loss of less than 0.01% of objects in a given year.
Reduced redundancy storage stores objects on multiple devices across multiple facilities, providing 400 times the durability of a typical disk drive, but it does not replicate objects as many times as Amazon S3 standard storage. In addition, reduced redundancy storage is designed to sustain the loss of data in a single facility.
If an object in reduced redundancy storage has been lost, Amazon S3 will return a 405 error on requests made to that object. Amazon S3 also offers notifications for reduced redundancy storage object loss: you can configure your bucket so that when Amazon S3 detects the loss of an RRS object, a notification will be sent through Amazon Simple Notification Service (Amazon SNS). You can then replace the lost object. To enable notifications, you can use the Amazon S3 console to set the Notifications property of your bucket.

NEW QUESTION: 3
Linux管理者は、同じディレクトリのグループ権限を維持するために、ディレクトリに作成されたすべての新しいファイルが必要です。次のコマンドのどれがこの要件を満たしますか？
A. chmod u+s <directory>
B. chmod g+s <directory>
C. chmod o+s <directory>
D. chmod +s <directory>
Answer: B