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NEW QUESTION: 1
개발 팀이 새 AWS 계정에서 IAM 역할 및 정책을 구성하는 데 도움을 요청했습니다. 계정을 사용하는 팀은 수백 개의 마스터 키를 가질 것으로 예상하므로 고객 마스터 키 (CMK)에 대한 액세스 제어를 관리하지 않습니다.
다음 중 개별 키 정책을 편집하는 복잡성없이 IAM에서 AWS KMS 권한을 관리 할 수 있는 것은 무엇입니까?
A. 새로 작성된 CMK는 루트 프린시 펄이 kms CreateGrant API 조작을 수행 할 수 있도록 해야 합니다.
B. 새로 생성 된 CMK는 KMS 키 관리자의 IAM 정책을 미러링해야 합니다.
C. 새로 작성된 CMK에는 루트 프린시 펄이 모든 조치를 수행 할 수있는 키 정책이 있어야 합니다.
D. 계정의 CMK 키 정책은 계정의 IAM 역할이 KMS EnableKey를 수행하도록 허용해야 합니다.
Answer: C
Explanation:
https://docs.aws.amazon.com/kms/latest/developerguide/key-policies.html#key-policy-default-allow-root-enable-iam

NEW QUESTION: 2
Which of the following HTTP methods are commonly used to fetch an object from a Web server?
A. HEAD
B. POST
C. CONNECT
D. OPTIONS
E. GET
Answer: E

NEW QUESTION: 3
グローバルペナルティ検出モデルのサンプリング戦略を構築するには、Python言語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: import pytorch as deeplearninglib
Box 2: ..DistributedSampler(Sampler)..
DistributedSampler(Sampler):
Sampler that restricts data loading to a subset of the dataset.
It is especially useful in conjunction with class:`torch.nn.parallel.DistributedDataParallel`. In such case, each process can pass a DistributedSampler instance as a DataLoader sampler, and load a subset of the original dataset that is exclusive to it.
Scenario: Sampling must guarantee mutual and collective exclusively between local and global segmentation models that share the same features.
Box 3: optimizer = deeplearninglib.train. GradientDescentOptimizer(learning_rate=0.10) Incorrect Answers: ..SGD..
Scenario: All penalty detection models show inference phases using a Stochastic Gradient Descent (SGD) are running too slow.
Box 4: .. nn.parallel.DistributedDataParallel..
DistributedSampler(Sampler): The sampler that restricts data loading to a subset of the dataset.
It is especially useful in conjunction with :class:`torch.nn.parallel.DistributedDataParallel`.
References:
https://github.com/pytorch/pytorch/blob/master/torch/utils/data/distributed.py

NEW QUESTION: 4
DRAG DROP
Drag and drop the steps in the TACACS+ authentication process from the left onto the actors that perform them on the right.
Select and Place:

Answer:
Explanation: