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NEW QUESTION: 1
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 Amazon Machine Learning to train the models.
B. Use Amazon Kinesis to stream the data to Amazon SageMaker.
C. Use Amazon SageMaker Pipe mode.
D. Use AWS Glue to transform the CSV dataset to the JSON format.
Answer: C
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
NEW QUESTION: 2
Quality assurance means the same as total quality control.
A. False
B. True
Answer: B
NEW QUESTION: 3
Which of the following is TRUE regarding routers R2 and R3 in the pictured MPLS network?
A. Router R2 pushes labels for LSP A, and R3 swaps labels for LSP A.
B. Router R2 and R3 push labels for LSP A and LSP B, respectively.
C. Router R2 and R3 swap labels for LSP A and LSP B.
D. Router R2 swaps labels for LSP A, and R3 pops labels for LSP A.
Answer: B
NEW QUESTION: 4
Bei der Messung des Messsystems beschäftigen wir uns mit zwei Problemen, die sich auf die potenzielle Variabilität der Daten auswirken. Sie sind ____________ und Genauigkeit.
A. Zuverlässigkeit
B. Verbreitung
C. Durchbiegung
D. Präzision
Answer: D
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