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NEW QUESTION: 1
Which option describes the difference between "high-performance" and "none" on a VM-FEX port profile?
A. None is software assisted, and high-performance is software and hardware assisted.
B. None indicates that VM-FEX is not used on this interface, and high-performance indicates that is used.
C. None assumes default scheduling settings for the port profile, and high-performance gives the ports priority in scheduling.
D. None is used for management profiles, and high-performance is used for mission-critical data profiles.
Answer: A

NEW QUESTION: 2
소매 업체는 데이터 센터의 애플리케이션 서버에서 시점 데이터를 처리하고 Amazon DynamoDB 테이블에 출력을 씁니다. 데이터 센터는 AWS Direct Connect (DX) 연결을 통해 회사의 VPC에 연결되며 애플리케이션 서버는 2Gbps 이상의 속도로 일관된 네트워크 연결이 필요합니다.
이 회사는 DynamoDB 테이블의 가용성과 내결함성이 높아야 한다고 결정했습니다. 회사 정책에 따르면 두 지역에서 데이터를 사용할 수 있어야 합니다.
회사는 이러한 요구 사항을 충족시키기 위해 어떤 변경을 해야 합니까?
A. 이중화를 위해 두 번째 DX 연결을 설정합니다. 두 번째 리전에서 동일한 DynamoDB 테이블을 생성합니다. 처리량 용량을 관리하기 위해 DynamoDB 자동 스케일링을 활성화합니다. 두 번째 지역에 쓰도록 애플리케이션을 수정하십시오.
B. AWS 관리 형 VPN을 DX에 대한 백업으로 사용하십시오. 두 번째 리전에서 동일한 DynamoDB 테이블을 생성합니다.
DynamoDB 스트림을 활성화하여 테이블의 변경 사항을 캡처합니다. AWS Lambda를 사용하여 변경 내용을 두 번째 리전으로 복제하십시오.
C. AWS 관리 형 VPN을 DX에 대한 백업으로 사용합니다. 두 번째 리전에서 동일한 DynamoDB 테이블을 생성합니다. 데이터를 두 지역으로 복제하도록 응용 프로그램을 수정하십시오.
D. 이중화를 위해 두 번째 DX 연결을 설정하십시오. DynamoDB 글로벌 테이블을 사용하여 데이터를 두 번째 리전에 복제하고 두 번째 리전으로 장애 조치되도록 애플리케이션을 수정하십시오.
Answer: D

NEW QUESTION: 3
Which of the following are examples of hyperparameters? (Select 2 answers.)
A. Biases
B. Weights
C. Number of hidden layers
D. Number of nodes in each hidden layer
Answer: C,D
Explanation:
If model parameters are variables that get adjusted by training with existing data, your hyperparameters are the variables about the training process itself. For example, part of setting up a deep neural network is deciding how many "hidden" layers of nodes to use between the input layer and the output layer, as well as how many nodes each layer should use. These variables are not directly related to the training data at all.
They are configuration variables. Another difference is that parameters change during a training job, while the hyperparameters are usually constant during a job.
Weights and biases are variables that get adjusted during the training process, so they are not hyperparameters.
Reference: https://cloud.google.com/ml-engine/docs/hyperparameter-tuning-overview

NEW QUESTION: 4
Assume you are the Test Manager in charge of independent testing for avionics applications.
You are in charge of testing for a project to implement three different CSCI (Computer Software Configuration Item):
- a BOOT-X CSCI that must be certified at level B of the DO-178B standard
- a DIAG-X CSCI that must be certified at level C of the DO-178B standard
- a DRIV-X CSCI that must be certified at level A of the DO-178B standard These are three different software modules written in C language to run on a specific hardware platform.
You have been asked to select a single code coverage tool to perform the mandatory code coverage measurements, in order to meet the structural coverage criteria prescribed by the DO-178B standard. This tool must be qualified as a verification tool under DO-178B.
Since there are significant budget constraints to purchase this tool, you are evaluating an open-source tool that is able to provide different types of code coverage. This tool meets perfectly your technical needs in terms of the programming language and the specific hardware platform (it supports also the specific C- compiler).
The source code of the tool is available.
Your team could easily customize the tool to meet the project needs. This tool is not qualified as a verification tool under the DO-178B.
Which of the following are the three main concerns related to that open-source tool selection?
A. Does the tool require a system with more than 4GB of RAM memory?
B. Is the installation procedure of the tool easy?
C. Is the licensing scheme of the tool compatible with the confidentiality needs of the avionics company?
D. Does the tool have a good general usability?
E. What are the costs to qualify the tool as a verification tool under the DO-178B?
F. Does the tool support all the types of code coverage required from the three levels A, B, C of the DO-
178B standard?
Answer: C,E,F
Explanation:
Explanation/Reference:
Explanation: