Professional Machine Learning Engineer Exam QuestionsBrowse all questions from this exam

Professional Machine Learning Engineer Exam - Question 46


As the lead ML Engineer for your company, you are responsible for building ML models to digitize scanned customer forms. You have developed a TensorFlow model that converts the scanned images into text and stores them in Cloud Storage. You need to use your ML model on the aggregated data collected at the end of each day with minimal manual intervention. What should you do?

Show Answer
Correct Answer: A

To process aggregated data at the end of each day with minimal manual intervention, utilizing the batch prediction functionality of AI Platform is the most suitable option. Batch prediction is designed for scenarios where predictions need to be made on a large amount of data at once, which aligns with processing data collected at the end of each day. This method reduces the need for real-time predictions and minimizes manual intervention by leveraging a managed service specifically designed for batch tasks.

Discussion

13 comments
Sign in to comment
Paul_DiracOption: A
Jun 27, 2021

Use the model at the end of the day => Not D, C. Minimize manual intervention => not B Ans: A

george_ognyanovOption: A
Oct 5, 2021

Another vote for A. Technically, through the right lens D could be correct as well, but what tipped me towards A was batch vs online predictions and the need for less manual work.

ggorzkiOption: A
Jan 19, 2022

A https://cloud.google.com/ai-platform/prediction/docs/batch-predict

koakandeOption: A
Dec 22, 2022

Because aggregated data can be sent at the end of the day for batch prediction and AI platform is managed so satisfy minimal intervention requirement Not B as violates minimal intervention requirement Not C and D as real-time or online inference is not needed since data is aggregated at the end of the day

Y2DataOption: A
Sep 17, 2021

https://cloud.google.com/ai-platform/prediction/docs/batch-predict

Mohamed_MossadOption: A
Jun 9, 2022

"You need to use your ML model on the aggregated data" that means we need the batch prediction feature in AI platform

seifouOption: A
Nov 20, 2022

A. https://datatonic.com/insights/vertex-ai-improving-debugging-batch-prediction/#:~:text=Vertex%20AI%20Batch%20Prediction%20provides,to%20GCS%20or%20BigQuery%2C%20respectively.

hiromiOption: A
Dec 10, 2022

You need to use your ML model on the aggregated data collected at the end of each day with minimal manual intervention.

ares81Option: A
Jan 5, 2023

There is only A, for me.

M25Option: A
May 9, 2023

Went with A

Sum_SumOption: A
Nov 15, 2023

A is the only way

ArthuriousOption: A
Mar 23, 2024

A is the most efficient

PhilipKokuOption: A
Jun 6, 2024

A) This a batch prediction using AI Platform