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NEW QUESTION: 1
You need to recommend a management solution for the GPOs. The solution must meet the technical requirements. What should you include in the recommendation?
A. Microsoft Baseline Security Analyzer (MBSA)
B. Microsoft Desktop Optimization Pack (MDOP)
C. Microsoft System Center 2012 Operations Manager
D. Microsoft System Center 2012 Data Protection Manager (DPM)
Answer: B
Explanation:
Explanation/Reference:
Explanation:
* Scenario:
/All changes to Group Policies must be logged.
/Administrators in the Paris office need to deploy a series of desktop restrictions to the entire company by using Group Policy.
* Microsoft Desktop Optimization Pack
Windows Vista Enterprise helps global organizations and enterprises with complex IT infrastructures lower IT costs, reduce risk, and stay connected. The Microsoft Desktop Optimization Pack for Software Assurance further extends this value by reducing application deployment costs, enabling delivery of applications as services, and allowing for better management and control of enterprise desktop environments. Together these technologies deliver a highly cost-effective and flexible Windows desktop management solution.
What is the Microsoft Desktop Optimization Pack?
The Microsoft Desktop Optimization Pack (MDOP) for Software Assurance is an add-on subscription license available to Software Assurance customers. It uses innovative technologies to help reduce the total cost of ownership (TCO) of the Windows desktop by accelerating operating system and application management and enhancing IT responsiveness and end-user uptime. It will enable you to better control the desktop, accelerate and simplify desktop deployments and management, and create a dynamic infrastructure by turning software into centrally managed services.
MDOP facilitates accelerated deployment and manageability of Windows through these innovative technologies- available only to Windows Software Assurance customers.
Reference: Microsoft Desktop Optimization Pack
URL: http://technet.microsoft.com/en-us/library/cc507880.aspx
NEW QUESTION: 2
A system has the following requirements:
- If the order total is equal to or more than S50 and less than or equal to S100, then a 2 percent discount is applied.
- If the order total is more than $100 and less than or equal to S200, then a 5 percent discount is applied.
- If the order total is more than $200, then a 10 percent discount is applied.
How many conditions must you test?
A. 0
B. 1
C. 2
D. 3
Answer: A
NEW QUESTION: 3
Ihr Netzwerk enthält eine Active Directory-Domäne mit dem Namen contoso.com. Die Domäne enthält 10 Domänencontroller
und einen schreibgeschützten Domänencontroller (RODC) mit dem Namen RODC01.
Sie müssen der Domäne einen RODC hinzufügen, indem Sie die Option Install From Media (IFM) verwenden.
Mit welchem Tool sollten Sie die Medien erstellen?
A. der Befehl dsadd
B. das Cmdlet Set-ADDomain
C. der Befehl dsmgmt
D. Das Cmdlet Install-ADDSDomain
E. der Befehl dsamain
F. Der Befehl ntdsutil
G. Der Befehl net user
H. das Set-ADForest-Cmdlet
Answer: F
Explanation:
Sie können das Tool Ntdsutil.exe verwenden, um Installationsmedien für zusätzliche Domänencontroller zu erstellen, in denen Sie erstellen
eine Domain. Mit der Option Install from Media (IFM) können Sie die Replikation von Verzeichnisdaten über die minimieren
Netzwerk. Auf diese Weise können Sie zusätzliche Domänencontroller an Remotestandorten effizienter installieren.
Referenz: Installieren von AD DS von Datenträgern
https://technet.microsoft.com/en-us/library/cc770654(v=ws.10).aspx
NEW QUESTION: 4
バイナリ分類モデルを作成して、人に疾患があるかどうかを予測します。
分類エラーの可能性を検出する必要があります。
説明ごとにどのエラータイプを選択する必要がありますか？回答するには、回答領域で適切なオプションを選択します。
注：それぞれの正しい選択は1ポイントの価値があります。
Answer:
Explanation:
Explanation:
Box 1: True Positive
A true positive is an outcome where the model correctly predicts the positive class Box 2: True Negative A true negative is an outcome where the model correctly predicts the negative class.
Box 3: False Positive
A false positive is an outcome where the model incorrectly predicts the positive class.
Box 4: False Negative
A false negative is an outcome where the model incorrectly predicts the negative class.
Note: Let's make the following definitions:
"Wolf" is a positive class.
"No wolf" is a negative class.
We can summarize our "wolf-prediction" model using a 2x2 confusion matrix that depicts all four possible outcomes:
Reference:
https://developers.google.com/machine-learning/crash-course/classification/true-false-positive-negative