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NEW QUESTION: 1
The terminating switch sends a query to a database asking for a subscriber name using:
A. ISDN Q.931 signaling.
B. SS7 messaging.
C. Advanced MF signaling.
D. AIN address signaling.
Answer: B
NEW QUESTION: 2
A company is running multiple applications on Amazon EC2. Each application is deployed and managed by multiple business units. All applications are deployed on a single AWS account but on different virtual private clouds (VPCs). The company uses a separate VPC in the same account for test and development purposes.
Production applications suffered multiple outages when users accidentally terminated and modified resources that belonged to another business unit. A Solutions Architect has been asked to improve the availability of the company applications while allowing the Developers access to the resources they need.
Which option meets the requirements with the LEAST disruption?
A. Implement a tagging policy based on business units. Create an IAM policy so that each user can terminate instances belonging to their own business units only.
B. Set up a federation to allow users to use their corporate credentials, and lock the users down to their own VPC. Use a network ACL to block each VPC from accessing other VPCs.
C. Set up role-based access for each user and provide limited permissions based on individual roles and the services for which each user is responsible.
D. Create an AWS account for each business unit. Move each business unit's instances to its own account and set up a federation to allow users to access their business unit's account.
Answer: A
Explanation:
Explanation
https://aws.amazon.com/blogs/security/resource-level-permissions-for-ec2-controlling-management-access-on-sp
NEW QUESTION: 3
You must restrict which storage arrays can connect to your Gen 5 fabric.
Which security policy satisfies this requirement?
A. SCC
B. FCS
C. IPFILTER
D. DCC
Answer: D
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