Professional-Machine-Learning-Engineer Exam Question 31
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?
Professional-Machine-Learning-Engineer Exam Question 32
An employee found a video clip with audio on a company's social media feed. The language used in the video is Spanish. English is the employee's first language, and they do not understand Spanish. The employee wants to do a sentiment analysis.
What combination of services is the MOST efficient to accomplish the task?
What combination of services is the MOST efficient to accomplish the task?
Professional-Machine-Learning-Engineer Exam Question 33
You are training an LSTM-based model on Al Platform to summarize text using the following job submission script:
You want to ensure that training time is minimized without significantly compromising the accuracy of your model. What should you do?
You want to ensure that training time is minimized without significantly compromising the accuracy of your model. What should you do?
Professional-Machine-Learning-Engineer Exam Question 34
A Data Scientist is working on an application that performs sentiment analysis. The validation accuracy is poor, and the Data Scientist thinks that the cause may be a rich vocabulary and a low average frequency of words in the dataset.
Which tool should be used to improve the validation accuracy?
Which tool should be used to improve the validation accuracy?
Professional-Machine-Learning-Engineer Exam Question 35
You have trained a text classification model in TensorFlow using Al Platform. You want to use the trained model for batch predictions on text data stored in BigQuery while minimizing computational overhead. What should you do?
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