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NEW QUESTION: 1
In which two ways can you isolate the location of a connectivity issue between two devices on your
network? (Choose two.)
A. Execute a traceroute from the source to the destination to locate the problematic hop.
B. Send an extended ping from the destination to the source.
C. Test whether the next hop from the source can reach the destination and work toward the destination.
D. Execute a traceroute from the destination and work toward the source to locate the problematic hop.
E. Send an extended ping from the source to the destination.
Answer: A,D

NEW QUESTION: 2
What are the steps to create an iOS native page?
A. Add UI layout to the existing ViewController
B. Create a new Objective C class, subclass UINativePage
C. Create a new Objective C class, make it partial class of the application's main ViewController
D. Create a new Objective C class, subclass UIViewController
Answer: D

NEW QUESTION: 3
기계 학습 팀에는 Amazon S3에 여러 개의 대규모 CSV 데이터 세트가 있습니다. 역사적으로 Amazon SageMaker Linear Learner 알고리즘으로 구축 된 모델은 비슷한 크기의 데이터 세트를 학습하는 데 몇 시간이 걸렸습니다. 팀의 리더는 교육 과정을 가속화 해야 합니다.
기계 학습 전문가는 이 문제를 해결하기 위해 무엇을 할 수 있습니까?
A. AWS Glue를 사용하여 CSV 데이터 세트를 JSON 형식으로 변환합니다.
B. Amazon Machine Learning을 사용하여 모델을 교육합니다.
C. Amazon Kinesis를 사용하여 데이터를 Amazon SageMaker로 스트리밍합니다.
D. Amazon SageMaker 파이프 모드를 사용합니다.
Answer: D
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