Free Professional-Machine-Learning-Engineer Exam Braindumps

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?

1. A. Increase the recall
2. B. Decrease the recall.
3. C. Increase the number of false positives
4. D. Decrease the number of false negatives

Correct Answer: D

You work with a data engineering team that has developed a pipeline to clean your dataset and save it in a Cloud Storage bucket. You have created an ML model and want to use the data to refresh your model as soon as new data is available. As part of your CI/CD workflow, you want to automatically run a Kubeflow Pipelines training job on Google Kubernetes Engine (GKE). How should you architect this workflow?

1. A. Configure your pipeline with Dataflow, which saves the files in Cloud Storage After the file is saved, start the training job on a GKE cluster
2. B. Use App Engine to create a lightweight python client that continuously polls Cloud Storage for new files As soon as a file arrives, initiate the training job
3. C. Configure a Cloud Storage trigger to send a message to a Pub/Sub topic when a new file is available in a storage bucke
4. D. Use a Pub/Sub-triggered Cloud Function to start the training job on a GKE cluster
5. E. Use Cloud Scheduler to schedule jobs at a regular interva
6. F. For the first step of the jo
7. G. check the timestamp of objects in your Cloud Storage bucket If there are no new files since the last run, abort the job.

Correct Answer: A

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?

1. A. Use Al Platform Notebooks' BigQuery cell magic to query the data, and ingest the results as a pandas dataframe
2. B. Export your table as a CSV file from BigQuery to Google Drive, and use the Google Drive API to ingest the file into your notebook instance
3. C. Download your table from BigQuery as a local CSV file, and upload it to your Al Platform notebook instance Use panda
4. D. read_csv to ingest the file as a pandas dataframe
5. E. From a bash cell in your Al Platform notebook, use the bq extract command to export the table as a CSV file to Cloud Storage, and then use gsutii cp to copy the data into the notebook Use panda
6. F. read_csv to ingest the file as a pandas dataframe

Correct Answer: B

You are an ML engineer at a bank that has a mobile application. Management has asked you to build an ML-based biometric authentication for the app that verifies a customer's identity based on their fingerprint. Fingerprints are considered highly sensitive personal information and cannot be downloaded and stored into the bank databases. Which learning strategy should you recommend to train and deploy this ML model?

1. A. Differential privacy
2. B. Federated learning
3. C. MD5 to encrypt data
4. D. Data Loss Prevention API

Correct Answer: B

You work for a toy manufacturer that has been experiencing a large increase in demand. You need to build an ML model to reduce the amount of time spent by quality control inspectors checking for product defects. Faster defect detection is a priority. The factory does not have reliable Wi-Fi. Your company wants to implement the new ML model as soon as possible. Which model should you use?

1. A. AutoML Vision model
2. B. AutoML Vision Edge mobile-versatile-1 model
3. C. AutoML Vision Edge mobile-low-latency-1 model
4. D. AutoML Vision Edge mobile-high-accuracy-1 model

Correct Answer: A