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NEW QUESTION: 1
HOTSPOT
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.







==================================================================
You need to configure scaling for the plagiarism detection service.
What should you do? To answer, select the appropriate values in the dialog box in the answer area.

Answer:
Explanation:

NEW QUESTION: 2
Which is a supported target for database backups?
A. Local Disk
B. Named Pipes
C. NetBackup
D. Tivoli Storage Manager
Answer: D

NEW QUESTION: 3
Sie müssen die Dateneingabe- und Business Intelligence-Datenbanken konfigurieren.
Identifizieren Sie in der folgenden Tabelle die Option, die Sie für jede Datenbank verwenden müssen.
HINWEIS: Nehmen Sie in jeder Spalte nur eine Auswahl vor.

Answer:
Explanation:

Erläuterung

Dateneingabe: Nur georeplizierte Datenbank
In einem Contoso-Szenario: Jede Standortdatenbank für die Dateneingabeanwendung weist möglicherweise einen unvorhersehbaren Aktivitätsumfang auf. Daten müssen in sekundären Datenbanken in Azure-Datencentern in verschiedenen Regionen repliziert werden.
Business Intelligence: Nur elastische Datenbankpools
In einem Contoso-Szenario: Für die Business Intelligence-Anwendung müssen Unternehmensleiter in der Lage sein, alle Daten nahezu in Echtzeit mit geringer Netzwerklatenz anzuzeigen.
Elastische SQL DB-Pools bieten eine einfache, kostengünstige Lösung zum Verwalten der Leistungsziele für mehrere Datenbanken mit sehr unterschiedlichen und unvorhersehbaren Verwendungsmustern.
Verweise: https://docs.microsoft.com/en-us/azure/sql-database/sql-database-elastic-pool
================================================ =
Thema 3, SQL Server ReportingBackground
Sie verwalten eine Microsoft SQL Server-Umgebung, die die folgenden Datenbanken enthält: DB1, DB2, Berichterstellung.
Die Umgebung umfasst auch SQL Reporting Services (SSRS) und SQL Server Analysis Services (SSAS).
Alle SSRS- und SSAS-Server verwenden benannte Instanzen. Sie konfigurieren eine Firewall-Regel für SSAS.
Datenbanken
Name der Datenbank:
DB1
Anmerkungen:
Diese Datenbank wurde von SQL Server 2012 nach SQL Server 2016 migriert. Tausende Datensätze werden in DB1 eingefügt oder jede Sekunde aktualisiert. Einfügungen werden von vielen verschiedenen externen Anwendungen erstellt, auf die die Entwickler Ihres Unternehmens keinen Einfluss haben. Sie stellen fest, dass die Latenz beim Schreiben des Transaktionsprotokolls einen Leistungsengpass darstellt. Aufgrund des vorübergehenden Charakters aller Daten in dieser Datenbank kann das Unternehmen bei einem Serverausfall einen gewissen Datenverlust tolerieren.
Name der Datenbank:
DB2
Anmerkungen:
Diese Datenbank wurde von SQL Server 2012 nach SQL Server 2016 migriert. Tausende Datensätze werden pro Sekunde aktualisiert oder eingefügt. Sie stellen fest, dass der Wartetyp WRITELOG der höchste aggregierte Wartetyp ist. Die meisten Schreibvorgänge dürfen keinen Datenverlust im Falle eines Herunterfahrens des Servers tolerieren. Das Unternehmen hat bestimmte Schreibabfragen ermittelt, bei denen ein Datenverlust im Falle eines Herunterfahrens des Servers tolerierbar ist.
Name der Datenbank:
Berichterstattung
Anmerkungen:
Sie erstellen ein SQL Server-authentifiziertes Login mit dem Namen BIAppUser auf der SQL Server-Instanz, um Benutzer der Berichtsdatenbank zu unterstützen. Das BIAppUser-Login ist kein Mitglied der Sysadmin-Rolle.
Sie planen, Leistungsüberwachungswarnungen für diese Instanz mithilfe von SQL Agent-Warnungen zu konfigurieren.

NEW QUESTION: 4
A developer identifies that some requests for the page /content/sampleproject/page.html take longer than other requests for the same page.
Refer to the $DOCROOT/content/sampleproject directory below.
[user@group /opt/dispatcher/cache/content/sampleproject ]$ ks -la
total 2
drwxr-xr-x. 5 apache apache 4096 Feb 11 11:41 .
drwxr-xr-x. 3 apache apache 4096 Nov 29 16:07 ..
drwxr-xr-x. 4 apache apache 4096 Feb 7 03:21 page.html
-rw-r--r--. 1 apache apache 0 Feb 7 03:19 .stat
The dispatcher.log file contains the following lines:
[Wed Feb 13 13:14:04 2012] [D] [1376(1572)] checking [/libs/cq/security/userinfo.json]
[Wed Feb 13 13:14:04 2012] [D] [1376(1572)] Caching disabled due to query string:
tracking_id=1350373444666
[Wed Feb 13 13:14:04 2012] [D] [1376(1572)] cache-action for [/libs/cq/security/userinfo.json]: None How should the developer make sure that the page is always cached?
A. "Modify the dispatcher.any file to contain the following lines:
/ignoreUrlParams
{
...
/0002 { /glob ""tracking_id"" /type ""allow"" }
...
}"
B. "Modify the dispatcher.any file to contain the following lines:
/filter
{
...
/0023 { /type ""allow"" /url ""/content/*/*.html"" /params ""tracking_id"" }
...
}"
C. "Modify the dispatcher.any file to contain the following lines:
/filter
{
...
/0023 { /type ""allow"" /url ""/content/*/*.html?tracking_id=*"" }
...
}"
D. "Modify the dispatcher.any file to contain the following lines:
/rules
{
...
/0000 { /glob ""*"" /type ""allow"" /params ""tracking_id"" }
...
}"
Answer: A

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