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Question 42/137
You work for a hotel and have a dataset that contains customers ' written comments scanned from paper-based customer feedback forms which are stored as PDF files Every form has the same layout. You need to quickly predict an overall satisfaction score from the customer comments on each form. How should you accomplish this task ' ?
Correct Answer: C
According to the official exam gui de 1 , one of the skills assessed in the exam is to "design, build, and productionalize ML models to solve business challenges using Google Cloud technologies". Document AI
2 is a document understanding platform that takes unstructured data from documents and transforms it into structured data, making it easier to understand, analyze, and consume. Documen t AI Workbench 3 allows you to create custom extractors to parse the text in specific sections of your documents. Natural Language API 4 is a service that provides natural language understanding technologies, such as sentiment analysis, entity analysis, and other text annotations. The analyzeSentiment feature 5 inspects the given text and identifies the prevailing emotional opinion within the text, especially to determine a writer's attitude as positive, negative, or neutral. Therefore, option C is the best way to accomplish the task of predicting an overall satisfaction score from the customer comments on each form. The other options are not relevant or optimal for this scenario. References :
* Professional ML Engineer Exam Guide
* Document AI
* Document AI Workbench
* Natural Language API
* Sentiment analysis
* Google Professional Machine Learning Certification Exam 2023
* Latest Google Professional Machine Learning Engineer Ac tual Free Exam Questions
2 is a document understanding platform that takes unstructured data from documents and transforms it into structured data, making it easier to understand, analyze, and consume. Documen t AI Workbench 3 allows you to create custom extractors to parse the text in specific sections of your documents. Natural Language API 4 is a service that provides natural language understanding technologies, such as sentiment analysis, entity analysis, and other text annotations. The analyzeSentiment feature 5 inspects the given text and identifies the prevailing emotional opinion within the text, especially to determine a writer's attitude as positive, negative, or neutral. Therefore, option C is the best way to accomplish the task of predicting an overall satisfaction score from the customer comments on each form. The other options are not relevant or optimal for this scenario. References :
* Professional ML Engineer Exam Guide
* Document AI
* Document AI Workbench
* Natural Language API
* Sentiment analysis
* Google Professional Machine Learning Certification Exam 2023
* Latest Google Professional Machine Learning Engineer Ac tual Free Exam Questions
- Question List (137q)
- Question 1: Your team is working on an NLP research project to predict p...
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- Question 18: You trained a model on data that is stored in a Cloud Storag...
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- Question 22: You work on a growing team of more than 50 data scientists w...
- Question 23: You are using Kubeflow Pipelines to develop an end-to-end Py...
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- Question 39: You recently deployed a model to a Vertex Al endpoint Your d...
- Question 40: Your company manages an ecommerce website. You developed an ...
- Question 41: You work at an ecommerce startup. You need to create a custo...
- Question 42: You work for a hotel and have a dataset that contains custom...
- Question 43: You are an ML engineer at a travel company. You have been re...
- Question 44: You have deployed a model on Vertex AI for real-time inferen...
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- Question 48: You have deployed a scikit-learn model to a Vertex Al endpoi...
- Question 49: Your team is training a large number of ML models that use d...
- Question 50: You are creating a deep neural network classification model ...
- Question 51: You are an AI engineer working for a popular video streaming...
- Question 52: You work for a retail company. You have been asked to develo...
- Question 53: You are building a real-time prediction engine that streams ...
- Question 54: You are training models in Vertex Al by using data that span...
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- Question 66: Your team has a model deployed to a Vertex Al endpoint You h...
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- Question 69: While running a model training pipeline on Vertex Al, you di...
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- Question 81: You have been asked to productionize a proof-of-concept ML m...
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- Question 101: You work at a gaming startup that has several terabytes of s...
- Question 102: You want to migrate a scikrt-learn classifier model to Tenso...
- Question 103: You need to create a working environment in Vertex AI Workbe...
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- Question 107: You work for a magazine publisher and have been tasked with ...
- Question 108: You are working on a prototype of a text classification mode...
- Question 109: As the lead ML Engineer for your company, you are responsibl...
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- Question 112: You work for a retailer that sells clothes to customers arou...
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- Question 116: You created an ML pipeline with multiple input parameters. Y...
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- Question 124: You need to train a regression model based on a dataset cont...
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- Question 137: You were asked to investigate failures of a production line ...
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