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NEW QUESTION: 1
Which of the following configuration tasks do you have to perform to set up the Process Integration sender JDBC adapter to query a database table? (Choose two)
A. Insert a query SQL statement in the communication channel.
B. Insert the class of the vendor JDBC driver in the communication channel.
C. Specify the client of the Integration Server.
D. Set the HTTP POST statement in the communication channel.
Answer: A,B

NEW QUESTION: 2
로드 균형 조정 서비스의 어떤 기능이 서비스에 대한 후속 연결을 온라인 상태 인 한 동일한 노드로 강제 전환하려고 합니까?
A. 세션 유지
B. 노드 균형
C. 세션 다중화
D. 세션 지속성
Answer: D
Explanation:
설명:
세션 지속성은로드 균형 조정 서비스의 기능입니다. 이 서비스는 후속 연결이 온라인 일 때 동일한 노드로 리디렉션되도록 강제합니다.
http://docs.rackspace.com/loadbalancers/api/v1.0/clb-devguide/content/Concepts-d1e233.html

NEW QUESTION: 3
The use of residual biometric information to gain unauthorized access is an example of which of the following attacks?
A. Cryptographic
B. Replay
C. Mimic
D. Brute force
Answer: B
Explanation:
Residual biometric characteristics, such as fingerprints left on a biometric capture device, may be reused by an attacker to gain unauthorized access. A brute force attack involves feeding the biometric capture device numerous different biometric samples. A cryptographic attack targets the algorithm or the encrypted data, in a mimic attack, the attacker reproduces characteristics similar to those of the enrolled user, such as forging a signature or imitating a voice.

NEW QUESTION: 4
You plan to build a team data science environment. Data for training models in machine learning pipelines will be over 20 GB in size.
You have the following requirements:
* Models must be built using Caffe2 or Chainer frameworks.
* Data scientists must be able to use a data science environment to build the machine learning pipelines and train models on their personal devices in both connected and disconnected network environments.
* Personal devices must support updating machine learning pipelines when connected to a network.
You need to select a data science environment.
Which environment should you use?
A. Azure Machine Learning Service
B. Azure Kubernetes Service (AKS)
C. Azure Databricks
D. Azure Machine Learning Studio
Answer: A
Explanation:
The Data Science Virtual Machine (DSVM) is a customized VM image on Microsoft's Azure cloud built specifically for doing data science. Caffe2 and Chainer are supported by DSVM.
DSVM integrates with Azure Machine Learning.
Incorrect Answers:
B: Use Machine Learning Studio when you want to experiment with machine learning models quickly and easily, and the built-in machine learning algorithms are sufficient for your solutions.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/data-science-virtual-machine/overview