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Question 223 - Professional Machine Learning Engineer discussion

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You work for a delivery company. You need to design a system that stores and manages features such as parcels delivered and truck locations over time. The system must retrieve the features with low latency and feed those features into a model for online prediction. The data science team will retrieve historical data at a specific point in time for model training. You want to store the features with minimal effort. What should you do?

A.
Store features in Bigtable as key/value data.
Answers
A.
Store features in Bigtable as key/value data.
B.
Store features in Vertex Al Feature Store.
Answers
B.
Store features in Vertex Al Feature Store.
C.
Store features as a Vertex Al dataset and use those features to tram the models hosted in Vertex Al endpoints.
Answers
C.
Store features as a Vertex Al dataset and use those features to tram the models hosted in Vertex Al endpoints.
D.
Store features in BigQuery timestamp partitioned tables, and use the BigQuery Storage Read API to serve the features.
Answers
D.
Store features in BigQuery timestamp partitioned tables, and use the BigQuery Storage Read API to serve the features.
Suggested answer: B

Explanation:

Vertex AI Feature Store is a service that allows you to store and manage your ML features on Google Cloud. You can use Vertex AI Feature Store to store features such as parcels delivered and truck locations over time, and retrieve them with low latency for online prediction. Online prediction is a type of prediction that provides low-latency responses to individual or small batches of input data. You can also use Vertex AI Feature Store to retrieve historical data at a specific point in time for model training. Model training is a process of learning the parameters of a ML model from data. By using Vertex AI Feature Store, you can store the features with minimal effort, and avoid the complexity of managing your own data storage and serving system.Reference:

Vertex AI Feature Store documentation

Preparing for Google Cloud Certification: Machine Learning Engineer Professional Certificate

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asked 18/09/2024
Stephanie Scheffers
42 questions
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