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NEW QUESTION: 1
A solutions architect is helping a developer design a new ecommerce shopping cart application using AWS services.
The developer is unsure of the current database schema and expects to make changes as the ecommerce site grows.
The solution needs to be highly resilient and capable of automatically scaling read and write capacity.
Which database solution meets these requirements?
A. Amazon SQS and Amazon Aurora PostgreSQL
B. Amazon DynamoDB with on-demand enabled
C. Amazon DynamoDB with DynamoDB Streams enabled
D. Amazon Aurora PostgreSQL
Answer: B
NEW QUESTION: 2
If manual trade capture methods are used, when should deals be recorded in systems used for this purpose?
A. The same day they are dealt
B. Within an hour of execution
C. Within 24 hours of execution
D. Promptly
Answer: A
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の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成させ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: 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
An administrator needs to determine which policies have triggered for a particular message. Which troubleshooting tool will help to identify issues with policy precedence and actions?
A. Filtering Precedence Exception report
B. Message Audit log
C. Filtering Policy report
D. Incident Match log
Answer: B