What should you try out first?

You built a custom ML model using scikit-learn. Training time is taking longer than expected. You decide to migrate your model to Vertex AI Training, and you want to improve the model’s training time. What should you try out first?A . Migrate your model to TensorFlow, and train it using...

May 25, 2023 No Comments READ MORE +

How should you reduce your Google Cloud compute costs without impacting the model’s performance?

You lead a data science team at a large international corporation. Most of the models your team trains are large-scale models using high-level TensorFlow APIs on AI Platform with GPUs. Your team usually takes a few weeks or months to iterate on a new version of a model. You were...

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What should you do?

You work as an ML engineer at a social media company, and you are developing a visual filter for users’ profile photos. This requires you to train an ML model to detect bounding boxes around human faces. You want to use this filter in your company’s iOS-based mobile phone application....

May 24, 2023 No Comments READ MORE +

Which business metrics should you track to measure your model’s performance?

You work for a gaming company that manages a popular online multiplayer game where teams with 6 players play against each other in 5-minute battles. There are many new players every day. You need to build a model that automatically assigns available players to teams in real time. User research...

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How should the project manager work with these risk handling strategies?

A project manager wants to work on understanding the project risks. The project manager works with the integrated project team to develop the risk handling strategies for the identified risks. How should the project manager work with these risk handling strategies?A . Review and revise the strategies periodically. B. Implement...

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What should you do?

You are building an ML model to predict trends in the stock market based on a wide range of factors. While exploring the data, you notice that some features have a large range. You want to ensure that the features with the largest magnitude don’t overfit the model. What should...

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What should you do?

You recently developed a deep learning model using Keras, and now you are experimenting with different training strategies. First, you trained the model using a single GPU, but the training process was too slow. Next, you distributed the training across 4 GPUs using tf.distribute.MirroredStrategy (with no other changes), but you...

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Which Google Cloud tools should you use to complete this task in the most efficient and self-serviced way?

You have been given a dataset with sales predictions based on your company’s marketing activities. The data is structured and stored in BigQuery, and has been carefully managed by a team of data analysts. You need to prepare a report providing insights into the predictive capabilities of the data. You...

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What should you use as the input and output for your model?

You work on the data science team for a multinational beverage company. You need to develop an ML model to predict the company’s profitability for a new line of naturally flavored bottled waters in different locations. You are provided with historical data that includes product types, product sales volumes, expenses,...

May 23, 2023 No Comments READ MORE +

What should you do?

You work for the AI team of an automobile company, and you are developing a visual defect detection model using TensorFlow and Keras. To improve your model performance, you want to incorporate some image augmentation functions such as translation, cropping, and contrast tweaking. You randomly apply these functions to each...

May 23, 2023 No Comments READ MORE +