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NEW QUESTION: 1
The Cloud Security Alliance (CSA) publishes the Notorious Nine, a list of common threats to organizations participating in cloud computing.
According to the CSA, an organization that suffers a data breach might suffer all of the following negative effects except __________.
Response:
A. Loss of market share
B. Cost of compliance with notification laws
C. Loss of public perception/goodwill
D. Cost of detection
Answer: D

NEW QUESTION: 2
A user casually browsing the Internet is redirected to a warez site where a number of pop- ups appear. After clicking on a pop-up to complete a survey, a drive-by download occurs.
Which of the following is MOST likely to be contained in the download?
A. Spyware
B. Logic bomb
C. DDoS
D. Smurf
E. Backdoor
Answer: A
Explanation:
Explanation: Explanation
Spyware is software that is used to gather information about a person or organization without their knowledge and sends that information to another entity.
Whenever spyware is used for malicious purposes, its presence is typically hidden from the user and can be difficult to detect. Some spyware, such as keyloggers, may be installed by the owner of a shared, corporate, or public computer intentionally in order to monitor users.

NEW QUESTION: 3
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