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NEW QUESTION: 1
How can you secure data at rest on an EBS volume?
A. Encrypt the volume using the S3 server-side encryption service.
B. Create an IAM policy that restricts read and write access to the volume.
C. Use an encrypted file system m top of the EBS volume.
D. Write the data randomly instead of sequentially.
E. Attach the volume to an instance using EC2's SSL interface.
Answer: B

NEW QUESTION: 2
View the Exhibit and examine the structure of the customer table.

You create the following trigger to ensure that customers belonging to category "A" or "B" in the customer table can have a credit limit of more than 8000.

What is the outcome?
A. The trigger is not fired because the when clause should be used to specify the condition, however, the update is successful.
B. The trigger is not fired because column names must be specified with the update event to identify which columns must be changed to cause the trigger to fire, however, the update is successful.
C. The trigger is fired and a message is displayed, but the update is rolled back.
D. The trigger is fired, a message is displayed, and the update is successful
Answer: B

NEW QUESTION: 3
次の形式のsalesDataという名前のPythonデータフレームがあります。
データフレームは、次のように長いデータ形式にピボット解除する必要があります。
変換を実行するには、Pythonでpandas.melt（）関数を使用する必要があります。
コードセグメントをどのように完了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：正しい選択はそれぞれ1ポイントの価値があります。

Answer:
Explanation:

Explanation

Box 1: dataFrame
Syntax: pandas.melt(frame, id_vars=None, value_vars=None, var_name=None, value_name='value', col_level=None)[source] Where frame is a DataFrame Box 2: shop Paramter id_vars id_vars : tuple, list, or ndarray, optional Column(s) to use as identifier variables.
Box 3: ['2017','2018']
value_vars : tuple, list, or ndarray, optional
Column(s) to unpivot. If not specified, uses all columns that are not set as id_vars.
Example:
df = pd.DataFrame({'A': {0: 'a', 1: 'b', 2: 'c'},
'B': {0: 1, 1: 3, 2: 5},
'C': {0: 2, 1: 4, 2: 6}})
pd.melt(df, id_vars=['A'], value_vars=['B', 'C'])
A variable value
0 a B 1
1 b B 3
2 c B 5
3 a C 2
4 b C 4
5 c C 6
References:
https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.melt.html

NEW QUESTION: 4
When trying to configure a Virtual Port Channel (vPC), what might be a cause of the following error when trying to create the vPC domain?
Nexus-5548-B(config)# vpc domain 10