Professional-Machine-Learning-Engineer Exam Question 11
You are developing a demand forecasting model for a large online retailer. The company has
20,000 SKUs that are sold through a single distribution center. You have three years of historical data. You need to provide a daily forecast at the SKU level for the next two weeks. You need to develop the first version quickly and minimize the development effort while delivering high forecasting accuracy. What should you do?
20,000 SKUs that are sold through a single distribution center. You have three years of historical data. You need to provide a daily forecast at the SKU level for the next two weeks. You need to develop the first version quickly and minimize the development effort while delivering high forecasting accuracy. What should you do?
Professional-Machine-Learning-Engineer Exam Question 12
You work on a growing team of more than 50 data scientists who all use AI Platform. You are designing a strategy to organize your jobs, models, and versions in a clean and scalable way.
Which strategy should you choose?
Which strategy should you choose?
Professional-Machine-Learning-Engineer Exam Question 13
You developed a Vertex AI 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?
Professional-Machine-Learning-Engineer Exam Question 14
You need to train a ControlNet model with Stable Diffusion XL for an image editing use case. You want to train this model as quickly as possible. Which hardware configuration should you choose to train your model?
Professional-Machine-Learning-Engineer Exam Question 15
You are working on a system log anomaly detection model for a cybersecurity organization. You have developed the model using TensorFlow, and you plan to use it for real-time prediction. You need to create a Dataflow pipeline to ingest data via Pub/Sub and write the results to BigQuery.
You want to minimize the serving latency as much as possible. What should you do?
You want to minimize the serving latency as much as possible. What should you do?