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A Technology Startup Is Using Complex Deep Neural Networks and GPU

question 146

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A technology startup is using complex deep neural networks and GPU compute to recommend the company's products to its existing customers based upon each customer's habits and interactions. The solution currently pulls each dataset from an Amazon S3 bucket before loading the data into a TensorFlow model pulled from the company's Git repository that runs locally. This job then runs for several hours while continually outputting its progress to the same S3 bucket. The job can be paused, restarted, and continued at any time in the event of a failure, and is run from a central queue. Senior managers are concerned about the complexity of the solution's resource management and the costs involved in repeating the process regularly. They ask for the workload to the automated so it runs once a week, starting Monday and completing by the close of business Friday. Which architecture should be used to scale the solution at the lowest cost?

Identify the critical thinking requirements for evaluating comparisons and metaphors in arguments.
Describe criteria such as "Comprehensiveness" and "Productivity" for evaluating comparative reasoning.
Analyze the role of comparative reasoning in ethical discussions and decision-making.
Develop the ability to discern between more and less comprehensive comparisons in reasoning.

Definitions:

Local Broker

A brokerage firm that operates in a specific geographic area and may specialize in trading securities for local clients.

Specialist

An official in a stock exchange. The specialist is assigned the stocks of specific companies and is responsible for conducting an orderly market in those securities.

Primary Market

The market where new securities are issued and sold for the first time, directly from the issuer to investors.

First-Time Issues

Refers to the initial offering of securities or stocks to the public by a company.

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