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NEW QUESTION: 1
Which action could an administrator take to configure auditing of logon events for all the employees who connected through the NetScaler Gateway for the current day?
A. Run "cat aaa.debug" from the NetScaler command-line interface.
B. Review logon events through Reporting > Access Gateway > AAA > AAA Sessions.
C. Run "df -h" from the NetScaler command-line interface.
D. Configure a Syslog policy to send events to a remote server.
Answer: D

NEW QUESTION: 2
あなたがアプリケーションを開発しています。 アプリケーションは、writeObjectという名前の方法を使用して文字列にLocationオブジェクトに変換します。WriteObject（）方法は、2つのパラメータ、LocationオブジェクトとXmlObjectSerializerオブジェクトを受け入れます。
アプリケーションは、次のコードが含まれています。 （行番号は参考のために含まれるだけです。）

あなたは、JSONオブジェクトとして場所のオブジェクトをシリアル化する必要があります。
あなたは、第20行でどのコード部分を挿入するべきですか？
A. New XmlSerializer(typeof(Location))
B. New NetDataContractSenalizer()
C. New DataContractJsonSerializer(typeof(Location))
D. New DataContractSerializer(typeof(Location))
Answer: C
Explanation:
The code is using [DataContract] attribute here so need to use DataContractSerializer class.
The DataContractJsonSerializer class serializes objects to the JavaScript Object Notation (JSON) and deserializes JSON data to objects.
Use the DataContractJsonSerializer class to serialize instances of a type into a JSON document and to deserialize a JSON document into an instance of a type.

NEW QUESTION: 3
Which four are among the many components included in the oracle Linux distribution?
A. Red Hat compatible kernel
B. Oracle WebLogic Server 11g
C. Oracle Database Server 11g
D. Apache Web Server
E. Documentation
F. X Windowing system
Answer: A,D,E,F
Explanation:
Explanation/Reference:
Explanation:

NEW QUESTION: 4
A data scientist deploys a deep learning model on an Fsv2 virtual machine.
Data analysis is slow.
You need to recommend which virtual machine series the data scientist must use to ensure that data analysis occurs as quickly as possible.
Which series should you recommend?
A. B
B. DC
C. Ev3
D. ND
Answer: D
Explanation:
Explanation
The N-series is a family of Azure Virtual Machines with GPU capabilities. GPUs are ideal for compute and graphics-intensive workloads, helping customers to fuel innovation through scenarios like high-end remote visualisation, deep learning and predictive analytics.
The ND-series is focused on training and inference scenarios for deep learning. It uses the NVIDIA Tesla P40 GPUs. The latest version - NDv2 - features the NVIDIA Tesla V100 GPUs.
References:
https://azure.microsoft.com/en-in/pricing/details/virtual-machines/series/

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