Google Professional Machine Learning Engineer Exam

You are building an ML model to detect anomalies in real-time sensor data. You will use Pub/Sub t...

Your organization wants to make its internal shuttle service route more efficient. The shuttles c...

You were asked to investigate failures of a production line component based on sensor readings. A...

You want to rebuild your ML pipeline for structured data on Google Cloud. You are using PySpark t...

You manage a team of data scientists who use a cloud-based backend system to submit training jobs...

You work for an online retail company that is creating a visual search engine. You have set up an...

You need to build classification workflows over several structured datasets currently stored in B...

You work for a public transportation company and need to build a model to estimate delay times fo...

You are developing ML models with AI Platform for image segmentation on CT scans. You frequently ...

Your team needs to build a model that predicts whether images contain a driver's license, passpor...

You are designing an ML recommendation model for shoppers on your company's ecommerce website. Yo...

You are designing an architecture with a serverless ML system to enrich customer support tickets ...

You have trained a deep neural network model on Google Cloud. The model has low loss on the train...

You built and manage a production system that is responsible for predicting sales numbers. Model ...

You have been asked to develop an input pipeline for an ML training model that processes images f...

You are an ML engineer at a large grocery retailer with stores in multiple regions. You have been...

You are building a real-time prediction engine that streams files which may contain Personally Id...

You work for a large hotel chain and have been asked to assist the marketing team in gathering pr...

You have written unit tests for a Kubeflow Pipeline that require custom libraries. You want to au...

You are training an LSTM-based model on AI Platform to summarize text using the following job sub...

You have deployed multiple versions of an image classification model on AI Platform. You want to ...

You trained a text classification model. You have the following SignatureDefs: You started a T...

Your organization's call center has asked you to develop a model that analyzes customer sentiment...

You are an ML engineer at a global shoe store. You manage the ML models for the company's website...

You work for a social media company. You need to detect whether posted images contain cars. Each ...

You are responsible for building a unified analytics environment across a variety of on-premises ...

You are an ML engineer at a regulated insurance company. You are asked to develop an insurance ap...

You are training a Resnet model on AI Platform using TPUs to visually categorize types of defects...

You have trained a model on a dataset that required computationally expensive preprocessing opera...

Your team trained and tested a DNN regression model with good results. Six months after deploymen...

You need to train a computer vision model that predicts the type of government ID present in a gi...

You developed an ML model with AI Platform, and you want to move it to production. You serve a fe...

You have a demand forecasting pipeline in production that uses Dataflow to preprocess raw data pr...

You need to design a customized deep neural network in Keras that will predict customer purchases...

You are developing a Kubeflow pipeline on Google Kubernetes Engine. The first step in the pipelin...

You are building a model to predict daily temperatures. You split the data randomly and then tran...

You are developing models to classify customer support emails. You created models with TensorFlow...

You have trained a text classification model in TensorFlow using AI Platform. You want to use the...

You work with a data engineering team that has developed a pipeline to clean your dataset and sav...

You have a functioning end-to-end ML pipeline that involves tuning the hyperparameters of your ML...

Your team is building an application for a global bank that will be used by millions of customers...

You work for an advertising company and want to understand the effectiveness of your company's la...

You are an ML engineer at a global car manufacture. You need to build an ML model to predict car ...

You work for a large technology company that wants to modernize their contact center. You have be...

You are training a TensorFlow model on a structured dataset with 100 billion records stored in se...

As the lead ML Engineer for your company, you are responsible for building ML models to digitize ...

You recently joined an enterprise-scale company that has thousands of datasets. You know that the...

You started working on a classification problem with time series data and achieved an area under ...

You work for an online travel agency that also sells advertising placements on its website to oth...

Your team is building a convolutional neural network (CNN)-based architecture from scratch. The p...

You work on a growing team of more than 50 data scientists who all use AI Platform. You are desig...

You are training a deep learning model for semantic image segmentation with reduced training time...

Your team is working on an NLP research project to predict political affiliation of authors based...

Your team has been tasked with creating an ML solution in Google Cloud to classify support reques...

You recently joined a machine learning team that will soon release a new project. As a lead on th...

You work for a credit card company and have been asked to create a custom fraud detection model b...

Your company manages a video sharing website where users can watch and upload videos. You need to...

You are working on a Neural Network-based project. The dataset provided to you has columns with d...

Your data science team needs to rapidly experiment with various features, model architectures, an...

You work for a bank and are building a random forest model for fraud detection. You have a datase...

You are using transfer learning to train an image classifier based on a pre-trained EfficientNet ...

While conducting an exploratory analysis of a dataset, you discover that categorical feature A ha...

You work for a large retailer and have been asked to segment your customers by their purchasing h...

You recently designed and built a custom neural network that uses critical dependencies specific ...

While monitoring your model training’s GPU utilization, you discover that you have a native synch...

Your data science team is training a PyTorch model for image classification based on a pre-traine...

You have a large corpus of written support cases that can be classified into 3 separate categorie...

You need to quickly build and train a model to predict the sentiment of customer reviews with cus...

You need to build an ML model for a social media application to predict whether a user’s submitte...

You lead a data science team at a large international corporation. Most of the models your team t...

You need to train a regression model based on a dataset containing 50,000 records that is stored ...

You are building a linear model with over 100 input features, all with values between –1 and 1. Y...

You work for a global footwear retailer and need to predict when an item will be out of stock bas...