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Question 4/139
You are working on a prototype of a text classification model in a managed Vertex AI Workbench notebook.
You want to quickly experiment with tokenizing text by using a Natural Language Toolkit (NLTK) library.
How should you add the library to your Jupyter kernel?
You want to quickly experiment with tokenizing text by using a Natural Language Toolkit (NLTK) library.
How should you add the library to your Jupyter kernel?
Correct Answer: D
NLTK is a Python library that provides a set of tools for natural language processing, such as tokenization, stemming, tagging, parsing, and sentiment analysis. Tokenization is a process of breaking a text into smaller units, such as words or sentences. You can use NLTK to quickly experiment with tokenizing text in a managed Vertex AI Workbench notebook. A Vertex AI Workbench notebook is a web-based interactive environment that allows you to write and execute Python code on Google Cloud. You can install the NLTK library from a Jupyter cell by using the !pip install nltk --user command. This command uses the pip package manager to install the NLTK library for the current user. By installing the NLTK library from a Jupyter cell, you can avoid the hassle of opening a terminal or creating a custom image for your notebook. References:
* NLTK documentation
* Vertex AI Workbench documentation
* Preparing for Google Cloud Certification: Machine Learning Engineer Professional Certificate
* NLTK documentation
* Vertex AI Workbench documentation
* Preparing for Google Cloud Certification: Machine Learning Engineer Professional Certificate
- Question List (139q)
- Question 1: You recently deployed a scikit-learn model to a Vertex Al en...
- Question 2: You are working on a system log anomaly detection model for ...
- Question 3: You have created multiple versions of an ML model and have i...
- Question 4: You are working on a prototype of a text classification mode...
- Question 5: You are developing an ML model that predicts the cost of use...
- Question 6: You developed a custom model by using Vertex Al to forecast ...
- Question 7: You want to rebuild your ML pipeline for structured data on ...
- Question 8: You are working with a dataset that contains customer transa...
- Question 9: You work for an organization that operates a streaming music...
- Question 10: You are creating a social media app where pet owners can pos...
- Question 11: Your team has a model deployed to a Vertex Al endpoint You h...
- Question 12: You are developing a process for training and running your c...
- Question 13: You need to develop an image classification model by using a...
- Question 14: You are building a TensorFlow model for a financial institut...
- Question 15: You are creating a deep neural network classification model ...
- Question 16: You work at a bank You have a custom tabular ML model that w...
- Question 17: You work for an online grocery store. You recently developed...
- Question 18: You work on a team that builds state-of-the-art deep learnin...
- Question 19: You need to execute a batch prediction on 100 million record...
- Question 20: Your company manages an application that aggregates news art...
- Question 21: You need to design an architecture that serves asynchronous ...
- Question 22: Your company manages an ecommerce website. You developed an ...
- Question 23: You have trained an XGBoost model that you plan to deploy on...
- Question 24: While running a model training pipeline on Vertex Al, you di...
- Question 25: You are working on a classification problem with time series...
- Question 26: You work for a company that is developing a new video stream...
- Question 27: You are developing a custom image classification model in Py...
- Question 28: You are using Keras and TensorFlow to develop a fraud detect...
- Question 29: You built a deep learning-based image classification model b...
- Question 30: You need to build an ML model for a social media application...
- Question 31: You work at a gaming startup that has several terabytes of s...
- Question 32: You have successfully deployed to production a large and com...
- Question 33: You work for a retail company that is using a regression mod...
- Question 34: You work as an ML researcher at an investment bank and are e...
- Question 35: You have deployed a model on Vertex AI for real-time inferen...
- Question 36: You recently joined an enterprise-scale company that has tho...
- Question 37: You are creating a model training pipeline to predict sentim...
- Question 38: You work at a gaming startup that has several terabytes of s...
- Question 39: You developed a Vertex Al ML pipeline that consists of prepr...
- Question 40: You work for a hospital that wants to optimize how it schedu...
- Question 41: You were asked to investigate failures of a production line ...
- Question 42: You are designing an architecture with a serverless ML syste...
- Question 43: You want to train an AutoML model to predict house prices by...
- Question 44: During batch training of a neural network, you notice that t...
- Question 45: You are building a real-time prediction engine that streams ...
- Question 46: You are developing a model to identify traffic signs in imag...
- Question 47: You need to train a regression model based on a dataset cont...
- Question 48: You are using Kubeflow Pipelines to develop an end-to-end Py...
- Question 49: You work at an ecommerce startup. You need to create a custo...
- Question 50: You work for a bank You have been asked to develop an ML mod...
- Question 51: You have developed an AutoML tabular classification model th...
- Question 52: You recently created a new Google Cloud Project After testin...
- Question 53: You work for a retail company. You have created a Vertex Al ...
- Question 54: You work for a gaming company that manages a popular online ...
- Question 55: You recently used BigQuery ML to train an AutoML regression ...
- Question 56: You are an ML engineer at a manufacturing company. You need ...
- Question 57: You are developing models to classify customer support email...
- Question 58: You work for a public transportation company and need to bui...
- Question 59: You work for a pharmaceutical company based in Canada. Your ...
- Question 60: Your data science team needs to rapidly experiment with vari...
- Question 61: You are a lead ML engineer at a retail company. You want to ...
- Question 62: You trained a model on data stored in a Cloud Storage bucket...
- Question 63: You created an ML pipeline with multiple input parameters. Y...
- Question 64: You have recently used TensorFlow to train a classification ...
- Question 65: You recently trained a XGBoost model that you plan to deploy...
- Question 66: You work for a large retailer and you need to build a model ...
- Question 67: You work for a large technology company that wants to modern...
- Question 68: You have written unit tests for a Kubeflow Pipeline that req...
- Question 69: You recently joined a machine learning team that will soon r...
- Question 70: You recently trained an XGBoost model on tabular data You pl...
- Question 71: You have been asked to build a model using a dataset that is...
- Question 72: You recently developed a wide and deep model in TensorFlow. ...
- Question 73: You work for a telecommunications company You're building a ...
- Question 74: You recently deployed a model to a Vertex Al endpoint Your d...
- Question 75: You work for a company that sells corporate electronic produ...
- Question 76: You work at an organization that maintains a cloud-based com...
- Question 77: You work for a social media company. You need to detect whet...
- Question 78: You lead a data science team at a large international corpor...
- Question 79: You are developing ML models with Al Platform for image segm...
- Question 80: You work for a large hotel chain and have been asked to assi...
- Question 81: Your team needs to build a model that predicts whether image...
- Question 82: You are working on a binary classification ML algorithm that...
- Question 83: You built a custom ML model using scikit-learn. Training tim...
- Question 84: You work for a company that provides an anti-spam service th...
- Question 85: You work on the data science team for a multinational bevera...
- Question 86: You are investigating the root cause of a misclassification ...
- Question 87: You are an ML engineer at a regulated insurance company. You...
- Question 88: You are an ML engineer at a large grocery retailer with stor...
- Question 89: You developed a custom model by using Vertex Al to predict y...
- Question 90: You are developing a mode! to detect fraudulent credit card ...
- Question 91: You are building a linear regression model on BigQuery ML to...
- Question 92: You recently built the first version of an image segmentatio...
- Question 93: You recently used XGBoost to train a model in Python that wi...
- Question 94: You recently developed a deep learning model using Keras, an...
- Question 95: You are training a custom language model for your company us...
- Question 96: You created a model that uses BigQuery ML to perform linear ...
- Question 97: While performing exploratory data analysis on a dataset, you...
- Question 98: You are developing a model to help your company create more ...
- Question 99: You work for a biotech startup that is experimenting with de...
- Question 100: You are an ML engineer responsible for designing and impleme...
- Question 101: Your work for a textile manufacturing company. Your company ...
- Question 102: You have deployed a scikit-learn model to a Vertex Al endpoi...
- Question 103: You have built a model that is trained on data stored in Par...
- Question 104: Your organization's call center has asked you to develop a m...
- Question 105: You work for a large social network service provider whose u...
- Question 106: You developed an ML model with Al Platform, and you want to ...
- Question 107: You work for an international manufacturing organization tha...
- Question 108: You work with a team of researchers to develop state-of-the-...
- Question 109: You are training a deep learning model for semantic image se...
- Question 110: You work on a growing team of more than 50 data scientists w...
- Question 111: You received a training-serving skew alert from a Vertex Al ...
- Question 112: You work for a semiconductor manufacturing company. You need...
- Question 113: You work for a retail company. You have a managed tabular da...
- Question 114: You recently designed and built a custom neural network that...
- Question 115: You work for a magazine publisher and have been tasked with ...
- Question 116: You are building a TensorFlow text-to-image generative model...
- Question 117: You are building a predictive maintenance model to preemptiv...
- Question 118: You work for a manufacturing company. You need to train a cu...
- Question 119: You need to analyze user activity data from your company's m...
- Question 120: You work with a data engineering team that has developed a p...
- Question 121: You have created a Vertex Al pipeline that automates custom ...
- Question 122: Your data science team has requested a system that supports ...
- Question 123: You need to train a computer vision model that predicts the ...
- Question 124: You have recently created a proof-of-concept (POC) deep lear...
- Question 125: Your team is building a convolutional neural network (CNN)-b...
- Question 126: You developed a BigQuery ML linear regressor model by using ...
- Question 127: You have a demand forecasting pipeline in production that us...
- Question 128: You recently deployed a pipeline in Vertex Al Pipelines that...
- Question 129: You work at a leading healthcare firm developing state-of-th...
- Question 130: You developed a Python module by using Keras to train a regr...
- Question 131: You have developed a fraud detection model for a large finan...
- Question 132: You are developing a training pipeline for a new XGBoost cla...
- Question 133: As the lead ML Engineer for your company, you are responsibl...
- Question 134: You are going to train a DNN regression model with Keras API...
- Question 135: You are an ML engineer at an ecommerce company and have been...
- Question 136: You are responsible for building a unified analytics environ...
- Question 137: You deployed an ML model into production a year ago. Every m...
- Question 138: Your company stores a large number of audio files of phone c...
- Question 139: One of your models is trained using data provided by a third...
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