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NEW QUESTION: 1
A company hosts data in S3. There is a requirement to control access to the S3 buckets. Which are the 2 ways in which this can be achieved?
Please select:
A. Use the Secure Token service
B. Use AWS Access Keys
C. Use Bucket policies
D. Use IAM user policies
Answer: C,D
Explanation:
Explanation
The AWS Documentation mentions the following
Amazon S3 offers access policy options broadly categorized as resource-based policies and user policies.
Access policies you attach to your resources (buckets and objects) are referred to as resource-based policies.
For example, bucket policies and access control lists (ACLs) are resource-based policies. You can also attach access policies to users in your account. These are called user policies. You may choose to use resource-based policies, user policies, or some combination of these to manage permissions to your Amazon S3 resources.
Option B and D are invalid because these cannot be used to control access to S3 buckets For more information on S3 access control, please refer to the below Link:
https://docs.aws.amazon.com/AmazonS3/latest/dev/s3-access-control.htmll The correct answers are: Use Bucket policies. Use IAM user policies Submit your Feedback/Queries to our Experts

NEW QUESTION: 2
What is the correct binary equivalent of DSCP value AF41?
A. 001010
B. 0
C. 1
D. 2
Answer: C
Explanation:
Explanation/Reference:
Reference: https://www.cisco.com/c/en/us/td/docs/switches/datacenter/nexus1000/sw/4_0/qos/
configuration/guide/nexus1000v_qos/qos_6dscp_val.pdf

NEW QUESTION: 3
You are configuring serverless computing in Azure.
You need to receive an email message whenever a resource is created in or deleted from a resource group.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

Answer:
Explanation:

Explanation

References:
https://docs.microsoft.com/en-us/azure/event-grid/monitor-virtual-machine-changes-event-grid-logic-app Action 1: Create an Azure Logic App

Action 2: Create an Azure Event Grid Trigger

Action 3: Create conditions and actions


References:
https://docs.microsoft.com/en-us/azure/event-grid/monitor-virtual-machine-changes-event-grid-logic-app

NEW QUESTION: 4
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