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NEW QUESTION: 1
한 조직에서 Amazon Kinesis Data Streams를 사용하여 수천 개의 온도 디바이스에서 생성 된 데이터를 수집하고 AWS Lambda를 사용하여 데이터를 처리하고 있습니다. 장치는 10
매일 1200 만 건의 레코드가 있지만 Lambda는 약 45 만 건의 레코드 만 처리합니다.
Amazon CloudWatch는 Lambda에서 제한이 발생하지 않음을 나타냅니다.
모든 데이터가 처리되도록 하려면 어떻게 해야 합니까? (2 개를 선택하십시오.)
A. Amazon Kinesis 스트림에서 파편의 수를 늘립니다.
B. EventSource에서 BatchSize 값을 늘리고 Lambda 함수에 할당 된 메모리를 늘리십시오.
C. EventSource에서 BatchSize 값을 줄이고 람다 함수에 할당 된 메모리를 늘립니다.
D. 동일한 Amazon Kinesis 스트림을 사용할 여러 Lambda 함수를 만듭니다.
E. Lambda 함수에 할당 된 vCore 수를 늘립니다.
Answer: A,B

NEW QUESTION: 2
You are a functional consultant for Contoso Entertainment System USA (USMF).
You need to ensure that human resources managers can approve absences for employees.
To complete this task, sign in to the Dynamics 365 portal.
Answer:
Explanation:
You need to assign the duty 'Approve employee leave requests' to the human resources managers.
Navigate to System Administration > Security > Security Configuration
On the Roles tab, select the Human Resources Manager role.
Click on Duties then click on Add references.
In the References section, click on Duties. This will list all the available duties.
Select the Approve employee leave requests duty to add it to the role.

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
You are the administrator of a Microsoft SQL Server 2016 server. Some applications consume significant resources.
You need to manage the server workload by restricting resource-intensive applications.
You need to dynamically limit resource consumption.
What should you do?
A. Configure Extended Events to monitor and restrict resource limits allowed by each application type.
B. Set up Service Broker to ensure that applications are not allowed to consume more than the specified amount of resources.
C. Configure Resource Pools, Workload Groups, and Classifier Function, and then enable the Resource Governor.
D. Create a new Plan Guide with a Scope Type of sql and define the resource limits for each application.
Answer: C