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NEW QUESTION 26
A Data Scientist is training a multilayer perception (MLP) on a dataset with multiple classes. The target class of interest is unique compared to the other classes within the dataset, but it does not achieve and acceptable recall metric. The Data Scientist has already tried varying the number and size of the MLP’s hidden layers, which has not significantly improved the results. A solution to improve recall must be implemented as quickly as possible.
Which techniques should be used to meet these requirements?
- A. Train an anomaly detection model instead of an MLP
- B. Train an XGBoost model instead of an MLP
- C. Add class weights to the MLP’s loss function and then retrain
- D. Gather more data using Amazon Mechanical Turk and then retrain
Answer: B
NEW QUESTION 27
A machine learning specialist is running an Amazon SageMaker endpoint using the built-in object detection algorithm on a P3 instance for real-time predictions in a company’s production application. When evaluating the model’s resource utilization, the specialist notices that the model is using only a fraction of the GPU.
Which architecture changes would ensure that provisioned resources are being utilized effectively?
- A. Redeploy the model on a P3dn instance.
- B. Deploy the model onto an Amazon Elastic Container Service (Amazon ECS) cluster using a P3 instance.
- C. Redeploy the model as a batch transform job on an M5 instance.
- D. Redeploy the model on an M5 instance. Attach Amazon Elastic Inference to the instance.
Answer: B
NEW QUESTION 28
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. AWSDMS
- B. Amazon Kinesis Data Analytics
- C. Amazon Kinesis Data Streams
- D. Amazon Kinesis Data Firehose
Answer: D
NEW QUESTION 29
A data scientist has been running an Amazon SageMaker notebook instance for a few weeks. During this time, a new version of Jupyter Notebook was released along with additional software updates. The security team mandates that all running SageMaker notebook instances use the latest security and software updates provided by SageMaker.
How can the data scientist meet this requirements?
- A. Stop and then restart the SageMaker notebook instance
- B. Create a new SageMaker notebook instance and mount the Amazon Elastic Block Store (Amazon EBS) volume from the original instance
- C. Call the UpdateNotebookInstanceLifecycleConfig API operation
- D. Call the CreateNotebookInstanceLifecycleConfig API operation
Answer: A
NEW QUESTION 30
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