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NEW QUESTION: 1

A. DNS
B. DHCP
C. NAT
D. VLAN
Answer: D

NEW QUESTION: 2
あなたの会社は、顧客キーの管理にAWSKMSを使用しています。ハウスキーピングアクティビティの一環として、既存のキーを削除する必要がある場合があります。キーが使用されていないことを確認するために、削除プロセス中に実行できること。
選んでください：
A. 削除する前にキーを1回回転させて、他のサービスがキーを使用しているかどうかを確認します
B. キーのIAMポリシーを変更して、他のサービスがキーを使用しているかどうかを確認しますAWS lentationには、次の内容が記載されていますAWS CloudTrail、Amazon CloudWatch Logs、Amazon Simple Notification Service（Amazon SNS）を組み合わせて作成できます削除が保留されているカスタマーマスターキー（CMK）を使用しようとするAWS KMSAPIリクエストを通知するアラーム。このようなアラームから通知を受け取った場合は、CMKの削除をキャンセルして、削除するかどうかを判断する時間を増やすことができます。キーポリシーまたはIAMポリシーを使用して確認できるため、オプションBとDが正しくありません。キーが使用されています。
C. キーポリシーを使用して、キーのアクセスレベルを確認します
D. CloudTrailを使用して、既存のキーに対してKMSAPIリクエストが発行されているかどうかを確認します
Answer: D
Explanation:
Option C is incorrect since rotation will not help you check if the keys are being used.
For more information on deleting keys, please refer to below URL:
https://docs.aws.amazon.com/kms/latest/developereuide/deletine-keys-creatine-cloudwatch-alarm.html The correct answer is: Use CloudTrail to see if any KMS API request has been issued against existing keys Submit your Feedback/Queries to our Experts

NEW QUESTION: 3
Which three protocols have been developed for IP routing redundancy to protect against first-hop router failure? (Choose three.)
A. GLBP
B. VRRP
C. HSRP
D. MSTP
E. ICMP
Answer: A,B,C
Explanation:
A First Hop Redundancy Protocol (FHRP) is a computer networking protocol which is designed to protect the default gateway used on a subnetwork by allowing two or more routers to provide backup for that address; in the event of failure of the/an active router, the backup router will take over the address, usually within a few seconds. In practice, such protocols can also be used to protect other services operating on a single IP address, not just routers.
Examples of such protocols include (in approximate order of creation):
Hot Standby Router Protocol (HSRP) - Cisco's initial, proprietary standard Virtual Router Redundancy Protocol (VRRP) - an open standard protocol Gateway Load Balancing Protocol (GLBP) - a more recent proprietary standard from Cisco that permits load balancing as well as redundancy

NEW QUESTION: 4
次のように定義された6つのデータポイントを含むPython NumPy配列を評価しています。
データ= [10、20、30、40、50、60]
Python Scikit-learn機械学習ライブラリのk-foldアルゴリズムの埋め込みを使用して、次の出力を生成する必要があります。
train: [10 40 50 60], test: [20 30]
train: [20 30 40 60], test: [10 50]
train: [10 20 30 50], test: [40 60]
出力を生成するには、相互検証を実装する必要があります。
どのようにコードセグメントを完成させるべきですか？回答するには、回答領域のダイアログボックスで適切なコードセグメントを選択します。
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: k-fold
Box 2: 3
K-Folds cross-validator provides train/test indices to split data in train/test sets. Split dataset into k consecutive folds (without shuffling by default).
The parameter n_splits ( int, default=3) is the number of folds. Must be at least 2.
Box 3: data
Example: Example:
>>>
>>> from sklearn.model_selection import KFold
>>> X = np.array([[1, 2], [3, 4], [1, 2], [3, 4]])
>>> y = np.array([1, 2, 3, 4])
>>> kf = KFold(n_splits=2)
>>> kf.get_n_splits(X)
2
>>> print(kf)
KFold(n_splits=2, random_state=None, shuffle=False)
>>> for train_index, test_index in kf.split(X):
print("TRAIN:", train_index, "TEST:", test_index)
X_train, X_test = X[train_index], X[test_index]
y_train, y_test = y[train_index], y[test_index]
TRAIN: [2 3] TEST: [0 1]
TRAIN: [0 1] TEST: [2 3]
References:
https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.KFold.html