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NEW QUESTION: 1
Case 1
Refer to the exhibit.

Your company recently negotiated several contracts with new customers to use its proprietary eCommerce system. As a result, the customer base has grown rapidly, which has introduced several challenges and requirements.
Business requirements:
* Applications need to scale quickly
* Metrics and reporting to anticipate business trends and efficient use of resources
* External customers are looking to license the eCommerce application
Other considerations:
* Applications need to be recorded for the public cloud
* Address security vulnerabilities for customer data in the cloud
Refer to Case 1.
You are designing the application development platform for the cloud and are considering using a PaaS Solution. You must ensure that monitoring is included in the platform. Which key metrics need to be available from the PaaS Solution that you select?
A. Queue length and storage utilization
B. Response time and queue length
C. Storage utilization and account login
D. Account login and response time
Answer: B

NEW QUESTION: 2
If a route map is changed after worksheets have already been launched, the changes will:
Please choose the correct answer.
A. be reflected on in-progress forms,
B. not make any impact on in-progress forms.
C. delete all forms.
D. create new forms.
Answer: B

NEW QUESTION: 3
기계 학습 전문가에게는 교육을 위해 Amazon SageMaker를 사용하여 TensorFlow 프로젝트가 할당되며 Wi-Fi에 액세스하지 않고도 장기간 계속 작업해야 합니다.
전문가가 작업을 계속하기 위해 어떤 접근 방식을 사용해야 합니까?
A. Amazon SageMaker에 사용 된 TensorFlow Docker 컨테이너를 GitHub에서 로컬 환경으로 다운로드하고 Amazon SageMaker Python SDK를 사용하여 코드를 테스트하십시오.
B. SageMaker 노트북을 로컬 환경에 다운로드 한 다음 노트북에 Jupyter Notebook을 설치하고 로컬 노트북에서 개발을 계속하십시오.
C. tensorflow.org에서 TensorFlow를 다운로드하여 SageMaker 환경에서 TensorFlow 커널을 에뮬레이트 하십시오.
D. Python 3과 boto3을 랩톱에 설치하고 해당 환경을 사용하여 코드 개발을 계속하십시오.
Answer: A
Explanation:
https://aws.amazon.com/blogs/machine-learning/use-the-amazon-sagemaker-local-mode-to-train- on-your-notebook-instance/