Amazon MLA-C01 Exam Dumps

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Question # 1

A software company was contracted to develop an application that counts concert-goers at sports arena entrances and then deploy the app in real-time on Nvidia Jetson Nano devices. A developer team at the company will write a custom Amazon Sage maker model, train the model once using Amazon Neo and then run it at the edge. What are the main advantages of using Amazon Neo? (Name TWO.)

A ML model can use LSTM instances.
B Inference instances can run on multiple GPUs.
C Required framework memory is reduced 10x.
D ML models will run with up to 2x better performance.
E Algorithm can be written in Scala.

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Question # 2

You are the head of the investment company’s analytics team and you are proposing to use Amazon QuickSight for visualizing your teams’ data. Which feature of Quicksight helps it to perform well under heavy load and scales to many users?

A Go Quick
B SCALE
C Heavy Duty
D SPICE

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Question # 3

A Machine Learning Specialist needs to be able to ingest streaming data and store it in Apache ORC format for exploration, analysis, and visualization. Which AWS services could both ingest and store this data in the correct format?

A Kinesis Data Streams
B Kinesis Data Firehose
C Amazon Translate
D AWS RDS

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Question # 4

Hugo works for a small start-up developing diagnostic tests for a rare disease, while Barry works for a big bank that wants to develop a global cash transfer app. What they should be concerned with?

A Hugo with precision and Barry with recall
B Hugo with recall and Barry with precision
C Both should focus on maximizing recall of the app model
D Both should focus on the precision of the app model

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Question # 5

Common loss functions used in a neural network training (also known as ‘objective functions’ or ‘scoring functions’) include (Choose TWO.):

A Sparse categorical cross-talk
B Mean Squared Hinge (MSH)
C Categorical cross-entropy
D Binary cross-entropy
E Standard Discrepancy (SD)

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