- Home
- Google Professional Machine Learning Engineer
- Google.Professional-Machine-Learning-Engineer.v2024-06-21.q112
- Question 58
Valid Professional-Machine-Learning-Engineer Dumps shared by ExamDiscuss.com for Helping Passing Professional-Machine-Learning-Engineer Exam! ExamDiscuss.com now offer the newest Professional-Machine-Learning-Engineer exam dumps, the ExamDiscuss.com Professional-Machine-Learning-Engineer exam questions have been updated and answers have been corrected get the newest ExamDiscuss.com Professional-Machine-Learning-Engineer dumps with Test Engine here:
Access Professional-Machine-Learning-Engineer Dumps Premium Version
(290 Q&As Dumps, 35%OFF Special Discount Code: freecram)
<< Prev Question Next Question >>
Question 58/112
You recently trained a XGBoost model that you plan to deploy to production for online inference Before sending a predict request to your model's binary you need to perform a simple data preprocessing step This step exposes a REST API that accepts requests in your internal VPC Service Controls and returns predictions You want to configure this preprocessing step while minimizing cost and effort What should you do?
Correct Answer: D
* Option A is not the best answer because it requires storing the pickled model in Cloud Storage, which may incur additional cost and latency for loading the model. It also requires building a Flask-based app, which may not be necessary for a simple data preprocessing step.
* Option B is not the best answer because it requires building a Flask-based app, which may not be necessary for a simple data preprocessing step. It also requires packaging the app andthe pickled model
* in a custom container image, which may increase the size and complexity of the image.
* Option C is not the best answer because it requires packaging the pickled model in a custom container image, which may increase the size and complexity of the image. It also does not leverage the Vertex built-in container image, which may provide some optimizations and integrations for XGBoost models.
* Option D is the best answer because it leverages the Vertex built-in container image, which may provide some optimizations and integrations for XGBoost models. It also allows storing the pickled model in Cloud Storage, which may reduce the size and complexity of the image. It also allows building a custom predictor class based on XGBoost Predictor from the Vertex AI SDK, which may simplify the data preprocessing step and the prediction logic.
* Option B is not the best answer because it requires building a Flask-based app, which may not be necessary for a simple data preprocessing step. It also requires packaging the app andthe pickled model
* in a custom container image, which may increase the size and complexity of the image.
* Option C is not the best answer because it requires packaging the pickled model in a custom container image, which may increase the size and complexity of the image. It also does not leverage the Vertex built-in container image, which may provide some optimizations and integrations for XGBoost models.
* Option D is the best answer because it leverages the Vertex built-in container image, which may provide some optimizations and integrations for XGBoost models. It also allows storing the pickled model in Cloud Storage, which may reduce the size and complexity of the image. It also allows building a custom predictor class based on XGBoost Predictor from the Vertex AI SDK, which may simplify the data preprocessing step and the prediction logic.
- Question List (112q)
- Question 1: You work for a retail company. You have been tasked with bui...
- Question 2: You manage a team of data scientists who use a cloud-based b...
- Question 3: You want to train an AutoML model to predict house prices by...
- Question 4: You need to deploy a scikit-learn classification model to pr...
- Question 5: You recently built the first version of an image segmentatio...
- Question 6: You work for a bank. You have created a custom model to pred...
- Question 7: You are developing an ML model intended to classify whether ...
- Question 8: You work for a large hotel chain and have been asked to assi...
- Question 9: You have trained a model on a dataset that required computat...
- Question 10: You have created a Vertex Al pipeline that automates custom ...
- Question 11: You recently deployed a scikit-learn model to a Vertex Al en...
- Question 12: You need to build classification workflows over several stru...
- Question 13: Your team needs to build a model that predicts whether image...
- Question 14: You work for a gaming company that has millions of customers...
- Question 15: You work for a retail company. You have been asked to develo...
- Question 16: You work for a telecommunications company You're building a ...
- Question 17: You work at a gaming startup that has several terabytes of s...
- Question 18: You were asked to investigate failures of a production line ...
- Question 19: You need to train a natural language model to perform text c...
- Question 20: You are working with a dataset that contains customer transa...
- Question 21: You are training an ML model on a large dataset. You are usi...
- Question 22: You work for a bank and are building a random forest model f...
- Question 23: While performing exploratory data analysis on a dataset, you...
- Question 24: You are an ML engineer at a bank that has a mobile applicati...
- Question 25: You recently trained an XGBoost model on tabular data You pl...
- Question 26: You work for a biotech startup that is experimenting with de...
- Question 27: You have a functioning end-to-end ML pipeline that involves ...
- Question 28: You lead a data science team at a large international corpor...
- Question 29: You recently created a new Google Cloud Project After testin...
- Question 30: You need to execute a batch prediction on 100 million record...
- Question 31: You are a data scientist at an industrial equipment manufact...
- Question 32: You work for a social media company. You need to detect whet...
- Question 33: You manage a team of data scientists who use a cloud-based b...
- Question 34: You have been tasked with deploying prototype code to produc...
- Question 35: You work for an online publisher that delivers news articles...
- Question 36: You are creating a social media app where pet owners can pos...
- Question 37: You recently deployed a model lo a Vertex Al endpoint and se...
- Question 38: You are an ML engineer at a global car manufacturer. You nee...
- Question 39: You are developing ML models with Al Platform for image segm...
- Question 40: You work for a credit card company and have been asked to cr...
- Question 41: While monitoring your model training's GPU utilization, you ...
- Question 42: You are investigating the root cause of a misclassification ...
- Question 43: You have recently created a proof-of-concept (POC) deep lear...
- Question 44: You recently joined an enterprise-scale company that has tho...
- Question 45: Your company manages an application that aggregates news art...
- Question 46: You are developing a Kubeflow pipeline on Google Kubernetes ...
- Question 47: You are developing an ML model that uses sliced frames from ...
- Question 48: You are an ML engineer at a manufacturing company You are cr...
- Question 49: You work for a large technology company that wants to modern...
- Question 50: You have trained a model by using data that was preprocessed...
- Question 51: You are training a custom language model for your company us...
- Question 52: Your team is building a convolutional neural network (CNN)-b...
- Question 53: You developed a custom model by using Vertex Al to predict y...
- Question 54: You built a deep learning-based image classification model b...
- Question 55: You developed a custom model by using Vertex Al to forecast ...
- Question 56: You are developing a training pipeline for a new XGBoost cla...
- Question 57: You are an ML engineer at a regulated insurance company. You...
- Question 58: You recently trained a XGBoost model that you plan to deploy...
- Question 59: You have been asked to build a model using a dataset that is...
- Question 60: You have written unit tests for a Kubeflow Pipeline that req...
- Question 61: You are deploying a new version of a model to a production V...
- Question 62: You are working on a binary classification ML algorithm that...
- Question 63: You are training an object detection machine learning model ...
- Question 64: You are building a real-time prediction engine that streams ...
- Question 65: You work on a growing team of more than 50 data scientists w...
- Question 66: You are developing an ML model using a dataset with categori...
- Question 67: You work for the AI team of an automobile company, and you a...
- Question 68: You have created a Vertex Al pipeline that includes two step...
- Question 69: You are experimenting with a built-in distributed XGBoost mo...
- Question 70: You are developing an ML model to identify your company s pr...
- Question 71: You work for a delivery company. You need to design a system...
- Question 72: You have developed a BigQuery ML model that predicts custome...
- Question 73: You are an ML engineer at an ecommerce company and have been...
- Question 74: You are working on a Neural Network-based project. The datas...
- Question 75: You are training models in Vertex Al by using data that span...
- Question 76: Your team trained and tested a DNN regression model with goo...
- Question 77: You work for a bank You have been asked to develop an ML mod...
- Question 78: You recently used XGBoost to train a model in Python that wi...
- Question 79: You work with a data engineering team that has developed a p...
- Question 80: You developed a Transformer model in TensorFlow to translate...
- Question 81: You need to quickly build and train a model to predict the s...
- Question 82: You are building a model to predict daily temperatures. You ...
- Question 83: While running a model training pipeline on Vertex Al, you di...
- Question 84: Your work for a textile manufacturing company. Your company ...
- Question 85: You work for an international manufacturing organization tha...
- Question 86: You work on a data science team at a bank and are creating a...
- Question 87: You work for a gaming company that manages a popular online ...
- Question 88: You need to train a regression model based on a dataset cont...
- Question 89: You created an ML pipeline with multiple input parameters. Y...
- Question 90: You are building a predictive maintenance model to preemptiv...
- Question 91: You work for a pharmaceutical company based in Canada. Your ...
- Question 92: You have built a custom model that performs several memory-i...
- Question 93: You work for an online retail company that is creating a vis...
- Question 94: You are going to train a DNN regression model with Keras API...
- Question 95: You are developing a model to identify traffic signs in imag...
- Question 96: You are developing an ML model to identify your company s pr...
- Question 97: You deployed an ML model into production a year ago. Every m...
- Question 98: You need to design a customized deep neural network in Keras...
- Question 99: You are developing a model to predict whether a failure will...
- Question 100: Your organization wants to make its internal shuttle service...
- Question 101: You work for a startup that has multiple data science worklo...
- Question 102: You are building a MLOps platform to automate your company's...
- Question 103: You are pre-training a large language model on Google Cloud....
- Question 104: You are an ML engineer on an agricultural research team work...
- Question 105: You are profiling the performance of your TensorFlow model t...
- Question 106: You need to use TensorFlow to train an image classification ...
- Question 107: You work for a social media company. You want to create a no...
- Question 108: You are building an ML model to detect anomalies in real-tim...
- Question 109: You are developing a custom image classification model in Py...
- Question 110: You are building a linear model with over 100 input features...
- Question 111: You have deployed a scikit-learn model to a Vertex Al endpoi...
- Question 112: You are creating a deep neural network classification model ...
[×]
Download PDF File
Enter your email address to download Google.Professional-Machine-Learning-Engineer.v2024-06-21.q112.pdf