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Question 19/109
You are building an ML model to detect anomalies in real-time sensor data. You will use Pub/Sub to handle incoming requests. You want to store the results for analytics and visualization. How should you configure the pipeline?
Correct Answer: A
* Dataflow is a fully managed service for executing Apache Beam pipelines that can process streaming or batch data1.
* Al Platform is a unified platform that enables you to build and run machine learning applications across Google Cloud2.
* BigQuery is a serverless, highly scalable, and cost-effective cloud data warehouse designed for business agility3.
These services are suitable for building an ML model to detect anomalies in real-time sensor data, as they can handle large-scale data ingestion, preprocessing, training, serving, storage, and visualization. The other options are not as suitable because:
* DataProc is a service for running Apache Spark and Apache Hadoop clusters, which are not optimized for streaming data processing4.
* AutoML is a suite of machine learning products that enables developers with limited machine learning expertise to train high-quality models specific to their business needs5. However, it does not support custom models or real-time predictions.
* Cloud Bigtable is a scalable, fully managed NoSQL database service for large analytical and operational workloads. However, it is not designed for ad hoc queries or interactive analysis.
* Cloud Functions is a serverless execution environment for building and connecting cloud services.
However, it is not suitable for storing or visualizing data.
* Cloud Storage is a service for storing and accessing data on Google Cloud. However, it is not a data warehouse and does not support SQL queries or visualization tools.
* Al Platform is a unified platform that enables you to build and run machine learning applications across Google Cloud2.
* BigQuery is a serverless, highly scalable, and cost-effective cloud data warehouse designed for business agility3.
These services are suitable for building an ML model to detect anomalies in real-time sensor data, as they can handle large-scale data ingestion, preprocessing, training, serving, storage, and visualization. The other options are not as suitable because:
* DataProc is a service for running Apache Spark and Apache Hadoop clusters, which are not optimized for streaming data processing4.
* AutoML is a suite of machine learning products that enables developers with limited machine learning expertise to train high-quality models specific to their business needs5. However, it does not support custom models or real-time predictions.
* Cloud Bigtable is a scalable, fully managed NoSQL database service for large analytical and operational workloads. However, it is not designed for ad hoc queries or interactive analysis.
* Cloud Functions is a serverless execution environment for building and connecting cloud services.
However, it is not suitable for storing or visualizing data.
* Cloud Storage is a service for storing and accessing data on Google Cloud. However, it is not a data warehouse and does not support SQL queries or visualization tools.
- Question List (109q)
- Question 1: You are an ML engineer responsible for designing and impleme...
- Question 2: You have written unit tests for a Kubeflow Pipeline that req...
- Question 3: Your company manages a video sharing website where users can...
- Question 4: You work for an organization that operates a streaming music...
- Question 5: You need to develop a custom TensorRow model that will be us...
- Question 6: You are working on a prototype of a text classification mode...
- Question 7: You are training a deep learning model for semantic image se...
- Question 8: You work for a rapidly growing social media company. Your te...
- Question 9: You work at a mobile gaming startup that creates online mult...
- Question 10: You are using Kubeflow Pipelines to develop an end-to-end Py...
- Question 11: You have deployed a model on Vertex AI for real-time inferen...
- Question 12: You are developing a mode! to detect fraudulent credit card ...
- Question 13: Your team has been tasked with creating an ML solution in Go...
- Question 14: Your data science team is training a PyTorch model for image...
- Question 15: You work for a retail company that is using a regression mod...
- Question 16: You received a training-serving skew alert from a Vertex Al ...
- Question 17: You are training and deploying updated versions of a regress...
- Question 18: You need to develop an image classification model by using a...
- Question 19: You are building an ML model to detect anomalies in real-tim...
- Question 20: You have recently created a proof-of-concept (POC) deep lear...
- Question 21: You are training an LSTM-based model on Al Platform to summa...
- Question 22: You are developing models to classify customer support email...
- Question 23: You have developed a BigQuery ML model that predicts custome...
- Question 24: You recently used XGBoost to train a model in Python that wi...
- Question 25: You work for a social media company. You need to detect whet...
- Question 26: You have deployed multiple versions of an image classificati...
- Question 27: You have recently trained a scikit-learn model that you plan...
- Question 28: You are developing a custom image classification model in Py...
- Question 29: Your team is building an application for a global bank that ...
- Question 30: You have recently developed a custom model for image classif...
- Question 31: You are profiling the performance of your TensorFlow model t...
- Question 32: You work for a retailer that sells clothes to customers arou...
- Question 33: You work for a large social network service provider whose u...
- Question 34: You work for an online retailer. Your company has a few thou...
- Question 35: You are developing a custom TensorFlow classification model ...
- Question 36: You recently designed and built a custom neural network that...
- Question 37: You work for an advertising company and want to understand t...
- Question 38: You work as an ML engineer at a social media company, and yo...
- Question 39: You need to quickly build and train a model to predict the s...
- Question 40: You work for a manufacturing company. You need to train a cu...
- Question 41: You manage a team of data scientists who use a cloud-based b...
- Question 42: Your company manages an application that aggregates news art...
- Question 43: You work with a data engineering team that has developed a p...
- Question 44: You work for a bank and are building a random forest model f...
- Question 45: You work for a gaming company that develops massively multip...
- Question 46: You work on an operations team at an international company t...
- Question 47: You work at a bank You have a custom tabular ML model that w...
- Question 48: You have a demand forecasting pipeline in production that us...
- Question 49: You recently built the first version of an image segmentatio...
- Question 50: You work for a food product company. Your company's historic...
- Question 51: You work at a gaming startup that has several terabytes of s...
- Question 52: You are developing an ML model in a Vertex Al Workbench note...
- Question 53: Your company manages an ecommerce website. You developed an ...
- Question 54: You recently trained an XGBoost model on tabular data You pl...
- Question 55: You are a lead ML engineer at a retail company. You want to ...
- Question 56: Your team is training a large number of ML models that use d...
- Question 57: You are developing an ML model intended to classify whether ...
- Question 58: You are developing a model to identify traffic signs in imag...
- Question 59: You trained a text classification model. You have the follow...
- Question 60: You work on a data science team at a bank and are creating a...
- Question 61: You are designing an architecture with a serverless ML syste...
- Question 62: You have built a custom model that performs several memory-i...
- Question 63: You are going to train a DNN regression model with Keras API...
- Question 64: You are training a Resnet model on Al Platform using TPUs to...
- Question 65: You work for a company that is developing a new video stream...
- Question 66: You lead a data science team at a large international corpor...
- Question 67: You work for an auto insurance company. You are preparing a ...
- Question 68: You developed an ML model with Al Platform, and you want to ...
- Question 69: You work for a pharmaceutical company based in Canada. Your ...
- Question 70: You have trained a DNN regressor with TensorFlow to predict ...
- Question 71: You work for a magazine publisher and have been tasked with ...
- Question 72: You work for a company that captures live video footage of c...
- Question 73: You work for the AI team of an automobile company, and you a...
- Question 74: Your team trained and tested a DNN regression model with goo...
- Question 75: You work for a retail company. You have created a Vertex Al ...
- Question 76: You work for a large technology company that wants to modern...
- Question 77: You recently developed a deep learning model using Keras, an...
- Question 78: You are working on a classification problem with time series...
- Question 79: You have been asked to develop an input pipeline for an ML t...
- Question 80: You are an ML engineer at a bank that has a mobile applicati...
- Question 81: You are developing ML models with Al Platform for image segm...
- Question 82: You need to build an ML model for a social media application...
- Question 83: You work for a biotech startup that is experimenting with de...
- Question 84: You have created a Vertex Al pipeline that automates custom ...
- Question 85: You recently deployed a model lo a Vertex Al endpoint and se...
- Question 86: You are building a TensorFlow model for a financial institut...
- Question 87: You work with a team of researchers to develop state-of-the-...
- Question 88: Your work for a textile manufacturing company. Your company ...
- Question 89: You work as an analyst at a large banking firm. You are deve...
- Question 90: You developed a Python module by using Keras to train a regr...
- Question 91: While performing exploratory data analysis on a dataset, you...
- Question 92: You are building a real-time prediction engine that streams ...
- Question 93: You are training a custom language model for your company us...
- Question 94: You are an ML engineer at a global shoe store. You manage th...
- Question 95: You work on a team that builds state-of-the-art deep learnin...
- Question 96: You have recently used TensorFlow to train a classification ...
- Question 97: You created an ML pipeline with multiple input parameters. Y...
- Question 98: Your organization manages an online message board A few mont...
- Question 99: You work for a gaming company that has millions of customers...
- Question 100: You need to train a natural language model to perform text c...
- Question 101: You have a functioning end-to-end ML pipeline that involves ...
- Question 102: You recently developed a wide and deep model in TensorFlow. ...
- Question 103: You are building a linear regression model on BigQuery ML to...
- Question 104: You work on the data science team at a manufacturing company...
- Question 105: You work for an online grocery store. You recently developed...
- Question 106: You recently used BigQuery ML to train an AutoML regression ...
- Question 107: You need to train a regression model based on a dataset cont...
- Question 108: You are a data scientist at an industrial equipment manufact...
- Question 109: You built a custom ML model using scikit-learn. Training tim...
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