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NEW QUESTION 34
You work for a social media company. You need to detect whether posted images contain cars. Each training example is a member of exactly one class. You have trained an object detection neural network and deployed the model version to Al Platform Prediction for evaluation. Before deployment, you created an evaluation job and attached it to the Al Platform Prediction model version. You notice that the precision is lower than your business requirements allow. How should you adjust the model's final layer softmax threshold to increase precision?
- A. Increase the recall
- B. Decrease the recall.
- C. Decrease the number of false negatives
- D. Increase the number of false positives
NEW QUESTION 35
You need to build an ML model for a social media application to predict whether a user's submitted profile photo meets the requirements. The application will inform the user if the picture meets the requirements. How should you build a model to ensure that the application does not falsely accept a non-compliant picture?
- A. Use AutoML to optimize the model's recall in order to minimize false negatives.
- B. Use Vertex AI Workbench user-managed notebooks to build a custom model that has three times as many examples of pictures that do not meet the profile photo requirements.
- C. Use Vertex AI Workbench user-managed notebooks to build a custom model that has three times as many examples of pictures that meet the profile photo requirements.
- D. Use AutoML to optimize the model's F1 score in order to balance the accuracy of false positives and false negatives.
NEW QUESTION 36
You have deployed multiple versions of an image classification model on Al Platform. You want to monitor the performance of the model versions overtime. How should you perform this comparison?
- A. Compare the loss performance for each model on a held-out dataset.
- B. Compare the loss performance for each model on the validation data
- C. Compare the receiver operating characteristic (ROC) curve for each model using the What-lf Tool
- D. Compare the mean average precision across the models using the Continuous Evaluation feature
NEW QUESTION 37
A Machine Learning Specialist needs to be able to ingest streaming data and store it in Apache Parquet files for exploration and analysis.
Which of the following services would both ingest and store this data in the correct format?
- A. Amazon Kinesis Data Analytics
- B. Amazon Kinesis Data Streams
- C. AWS DMS
- D. Amazon Kinesis Data Firehose
NEW QUESTION 38