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NEW QUESTION: 1
한 대기업이 AWS Cloud Formation을 사용하여 Amazon EC2 및 Amazon RDS 인스턴스로 구성된 애플리케이션을 AWS 클라우드에 배포하고 있습니다.
CloudFormation 스택에는 다음과 같은 스택 정책이 있습니다.

회사는 나를 업데이트 할 때 RDS 인스턴스를 실수로 제거하거나 교체하여 개발자가 데이터를 잃지 않도록하려고합니다. Cloud Formation 스택 개발자는 여전히 필요에 따라 EC2 인스턴스를 수정하거나 제거 할 수 있어야합니다. 회사는이를 충족하기 위해 스택 정책을 어떻게 변경해야합니까? 요구 사항?
A. Add a second statement that specifies "Effect" "Deny" "Action" ["Update Delete" "Update Replace"] for all logical RDS resources
B. Modify the statement to specify "Effect" "Deny" "Action" ["Update *"] for all logical RDS resources
C. Modify the statement to specify "Effect" "Deny" "Action" ("Update Delete"] lor all logical RDS resources
D. Add a second statement that specifies "Effect" "Deny" "Action" ["Update'"] for all logical RDS resources
Answer: D

NEW QUESTION: 2
If the violation involves multiple aggravating standards, the penalty will be imposed at the specified level.
A. True
B. False
Answer: A

NEW QUESTION: 3
Which two packet types are handled solely by the RE within an EX4200? (Choose two.)
A. IP multicast traffic
B. STP BPDUs
C. DHCP relay
D. OSPF hellos
Answer: B,D

NEW QUESTION: 4
A Machine Learning team has several large CSV datasets in Amazon S3. Historically, models built with the Amazon SageMaker Linear Learner algorithm have taken hours to train on similar- sized datasets. The team's leaders need to accelerate the training process.
What can a Machine Learning Specialist do to address this concern?
A. Use AWS Glue to transform the CSV dataset to the JSON format.
B. Use Amazon SageMaker Pipe mode.
C. Use Amazon Machine Learning to train the models.
D. Use Amazon Kinesis to stream the data to Amazon SageMaker.
Answer: B
Explanation:
Amazon SageMaker Pipe mode streams the data directly to the container, which improves the performance of training jobs. In Pipe mode, your training job streams data directly from Amazon S3. Streaming can provide faster start times for training jobs and better throughput. With Pipe mode, you also reduce the size of the Amazon EBS volumes for your training instances. B would not apply in this scenario. C is a streaming ingestion solution, but is not applicable in this scenario. D transforms the data structure