Google Professional Machine Learning Engineer - Professional-Machine-Learning-Engineer무료 덤프문제 풀어보기
You developed a Vertex Al ML pipeline that consists of preprocessing and training steps and each set of steps runs on a separate custom Docker image Your organization uses GitHub and GitHub Actions as CI/CD to run unit and integration tests You need to automate the model retraining workflow so that it can be initiated both manually and when a new version of the code is merged in the main branch You want to minimize the steps required to build the workflow while also allowing for maximum flexibility How should you configure the CI
/CD workflow?
/CD workflow?
정답: C
설명: (Fast2test 회원만 볼 수 있음)
You work at an ecommerce startup. You need to create a customer churn prediction model Your company ' s recent sales records are stored in a BigQuery table You want to understand how your initial model is making predictions. You also want to iterate on the model as quickly as possible while minimizing cost How should you build your first model?
정답: A
설명: (Fast2test 회원만 볼 수 있음)
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?
정답: C
설명: (Fast2test 회원만 볼 수 있음)
You trained a model on data that is stored in a Cloud Storage bucket. The model needs to be retrained frequently in Vertex AI Training by using the latest data in the bucket. Data preprocessing is required prior to the retraining. You want to build a simple and efficient near real-time ML pipeline in Vertex AI that will perform the data preprocessing when new data arrives in the bucket. What should you do?
정답: C
설명: (Fast2test 회원만 볼 수 있음)
You are implementing a batch inference ML pipeline in Google Cloud. The model was developed using TensorFlow and is stored in SavedModel format in Cloud Storage You need to apply the model to a historical dataset containing 10 TB of data that is stored in a BigQuery table How should you perform the inference?
정답: B
설명: (Fast2test 회원만 볼 수 있음)
You work for an advertising company and want to understand the effectiveness of your company ' s latest advertising campaign. You have streamed 500 MB of campaign data into BigQuery. You want to query the table, and then manipulate the results of that query with a pandas dataframe in an Al Platform notebook. What should you do?
정답: A
설명: (Fast2test 회원만 볼 수 있음)
You are deploying a new version of a model to a production Vertex Al endpoint that is serving traffic You plan to direct all user traffic to the new model You need to deploy the model with minimal disruption to your application What should you do?
정답: D
설명: (Fast2test 회원만 볼 수 있음)
You have recently created a proof-of-concept (POC) deep learning model. You are satisfied with the overall architecture, but you need to determine the value for a couple of hyperparameters. You want to perform hyperparameter tuning on Vertex AI to determine both the appropriate embedding dimension for a categorical feature used by your model and the optimal learning rate. You configure the following settings:
For the embedding dimension, you set the type to INTEGER with a minValue of 16 and maxValue of 64.
For the learning rate, you set the type to DOUBLE with a minValue of 10e-05 and maxValue of 10e-02.
You are using the default Bayesian optimization tuning algorithm, and you want to maximize model accuracy.
Training time is not a concern. How should you set the hyperparameter scaling for each hyperparameter and the maxParallelTrials?
For the embedding dimension, you set the type to INTEGER with a minValue of 16 and maxValue of 64.
For the learning rate, you set the type to DOUBLE with a minValue of 10e-05 and maxValue of 10e-02.
You are using the default Bayesian optimization tuning algorithm, and you want to maximize model accuracy.
Training time is not a concern. How should you set the hyperparameter scaling for each hyperparameter and the maxParallelTrials?
정답: B
설명: (Fast2test 회원만 볼 수 있음)
You have created multiple versions of an ML model and have imported them to Vertex AI Model Registry.
You want to perform A/B testing to identify the best-performing model using the simplest approach. What should you do?
You want to perform A/B testing to identify the best-performing model using the simplest approach. What should you do?
정답: B
설명: (Fast2test 회원만 볼 수 있음)
You are developing a mode! to detect fraudulent credit card transactions. You need to prioritize detection because missing even one fraudulent transaction could severely impact the credit card holder. You used AutoML to tram a model on users ' profile information and credit card transaction data. After training the initial model, you notice that the model is failing to detect many fraudulent transactions. How should you adjust the training parameters in AutoML to improve model performance?
Choose 2 answers
Choose 2 answers
정답: A,C
설명: (Fast2test 회원만 볼 수 있음)
You are an ML engineer at a manufacturing company. You need to build a model that identifies defects in products based on images of the product taken at the end of the assembly line. You want your model to preprocess the images with lower computation to quickly extract features of defects in products. Which approach should you use to build the model?
정답: C
설명: (Fast2test 회원만 볼 수 있음)
You need to deploy a scikit-learn classification model to production. The model must be able to serve requests
24/7 and you expect millions of requests per second to the production application from 8 am to 7 pm. You need to minimize the cost of deployment What should you do?
24/7 and you expect millions of requests per second to the production application from 8 am to 7 pm. You need to minimize the cost of deployment What should you do?
정답: B
설명: (Fast2test 회원만 볼 수 있음)
You developed a custom model by using Vertex Al to predict your application ' s user churn rate You are using Vertex Al Model Monitoring for skew detection The training data stored in BigQuery contains two sets of features - demographic and behavioral You later discover that two separate models trained on each set perform better than the original model You need to configure a new model mentioning pipeline that splits traffic among the two models You want to use the same prediction-sampling-rate and monitoring-frequency for each model You also want to minimize management effort What should you do?
정답: D
설명: (Fast2test 회원만 볼 수 있음)