A Manufacturer of Car Engines Collects Data from Cars as They

question 137

Multiple Choice

A manufacturer of car engines collects data from cars as they are being driven. The data collected includes timestamp, engine temperature, rotations per minute (RPM) , and other sensor readings. The company wants to predict when an engine is going to have a problem, so it can notify drivers in advance to get engine maintenance. The engine data is loaded into a data lake for training. Which is the MOST suitable predictive model that can be deployed into production?

• A) Add labels over time to indicate which engine faults occur at what time in the future to turn this into a supervised learning problem. Use a recurrent neural network (RNN) to train the model to recognize when an engine might need maintenance for a certain fault.
• B) This data requires an unsupervised learning algorithm. Use Amazon SageMaker k-means to cluster the data.
• C) Add labels over time to indicate which engine faults occur at what time in the future to turn this into a supervised learning problem. Use a convolutional neural network (CNN) to train the model to recognize when an engine might need maintenance for a certain fault.
• D) This data is already formulated as a time series. Use Amazon SageMaker seq2seq to model the time series.

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Definitions:

Required Reserves

The minimum amount of funds that a bank must hold in reserve against deposits, as mandated by central banking authorities, to ensure bank liquidity.

Actual Reserves

The physical amount of a commodity or cash held as reserves in a financial institution or by an organization.

Monetary Policy

Measures undertaken by a government's central bank to regulate the economy's money supply and interest rates to achieve macroeconomic objectives like controlling inflation, consumption, growth, and liquidity.

President

The head of state and government in a republic, often elected to lead the executive branch and uphold the laws and constitution of the nation.