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NEW QUESTION: 1
You need to use the Python language to build a sampling strategy for the global penalty detection models.
How should you complete the code segment? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
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)
NEW QUESTION: 2
Examine the steps:
1. Log in to the DB system using opc user.
2. sudo su - oracle
3. sudo su -
4. dbcli describe-job -i 9a02dlll-e902-4e94-bc6b-9b820ddf6ed8
5. dbcli update-server
6. Note the job ID from the output of the command.
7. dbcli describe-component
Identify the required steps in correct order to patch server components.
A. 1,2,4,6,5,7
B. 1,3,4,5,6, 7
C. 1,3,5,6,4,7
D. 1,2,5,6,4,7
Answer: C
Explanation:
# dbcli describe-component
# dbcli update-server
# dbcli describe-job -i
# dbcli describe-component
https://docs.cloud.oracle.com/en-us/iaas/Content/Database/Tasks/patchingDB.htm
NEW QUESTION: 3
마지막으로인가 된 프로그램 업데이트 이후에 허가되지 않은 프로그램 변경이 있었는지 여부를 결정하는 데있어 감사인을 보조하는데 가장 유용한 감사 기법은 무엇입니까?
A. 테스트 데이터 실행
B. 코드 이전 절차 검토
C. 코드 검토
D. 자동 코드 비교
Answer: D
Explanation:
설명:
자동화된 코드 비교는 동일한 프로그램의 두 버전을 비교하여 이 두 버전이 일치하는지 여부를 확인하는 프로세스입니다. 그것은 자동화 된 절차이기 때문에 효율적인 기법입니다. 테스트 데이터가 실행되면 감사인은 사전 선택된 트랜잭션의 처리를 검증 할 수 있지만 프로그램의 처리되지 않은 부분에 대한 증거는 제공하지 않습니다. 코드 검토는 코드에 잠재적 오류 또는 비효율적 인 명령문이 포함되어 있는지 여부를 판단하기 위해 프로그램 소스 코드 목록을 읽는 프로세스입니다. 코드 검토는 코드 비교의 수단으로 사용될 수 있지만 비효율적입니다. 코드 이전 절차를 검토해도 프로그램 변경 사항을 감지하지는 못합니다.