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NEW QUESTION: 1
The mount command is used in Linux-based clients to connect the client to the NFS share.
A. FALSE
B. TRUE
Answer: B
NEW QUESTION: 2
Which of the following layers provides end-to-end data transfer service?
A. Data Link Layer.
B. Transport Layer.
C. Network Layer.
D. Presentation Layer.
Answer: B
Explanation:
It is the Transport Layer that is responsible for reliable end-to-end data transfer between end systems.
The following answers are incorrect:
Network Layer. Is incorrect because the Network Layer is the OSI layer that is responsible for routing, switching, and subnetwork access across the entire OSI environment.
Data Link Layer. Is incorrect because the Data Link Layer is the serial communications path between nodes or devices without any intermediate switching nodes.
Presentation Layer. Is incorrect because the Presentation Layer is the OSI layer that determines how application information is represented (i.e., encoded) while in transit between two end systems.
NEW QUESTION: 3
Which of the following networking devices operates at Layer1?
A. Firewall
B. Router
C. Hub
D. Bridge
Answer: C
NEW QUESTION: 4
Azure Machine Learning Studioを使用して、大規模なデータストアからデータを取得しています。
システムクロックに基づいたランダムサンプリングシードを使用して、テスト目的でデータのサブセットを作成する必要があります。
パーティションとサンプルモジュールを実験に追加します。
モジュールのプロパティを選択する必要があります。
どの値を選択する必要がありますか？回答するには、回答エリア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には1ポイントの価値があります。
Answer:
Explanation:
Explanation:
Box 1: Sampling
Create a sample of data
This option supports simple random sampling or stratified random sampling. This is useful if you want to create a smaller representative sample dataset for testing.
1. Add the Partition and Sample module to your experiment in Studio, and connect the dataset.
2. Partition or sample mode: Set this to Sampling.
3. Rate of sampling. See box 2 below.
Box 2: 0
3. Rate of sampling. Random seed for sampling: Optionally, type an integer to use as a seed value.
This option is important if you want the rows to be divided the same way every time. The default value is 0, meaning that a starting seed is generated based on the system clock. This can lead to slightly different results each time you run the experiment.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/partition-and-sample
