Google Professional-Machine-Learning-Engineer Practice Test : Free Online Preparation

Question 1
- You are collaborating on a model prototype with your team. You need to create a Vertex Al Workbench environment for the members of your team and also limit access to other employees in your project. What should you do?
  
  A : 1. Create a new service account and grant it the Notebook Viewer role.
  2 Grant the Service Account User role to each team member on the service account.
  3 Grant the Vertex Al User role to each team member.
  4. Provision a Vertex Al Workbench user-managed notebook instance that uses the new service account.
  
  B : 1. Grant the Vertex Al User role to the default Compute Engine service account.
  2. Grant the Service Account User role to each team member on the default Compute Engine service
  account.
  3. Provision a Vertex Al Workbench user-managed notebook instance that uses the default Compute
  Engine service account.
  
  C : 1 Create a new service account and grant it the Vertex Al User role.
  2 Grant the Service Account User role to each team member on the service account.
  3. Grant the Notebook Viewer role to each team member.
  4 Provision a Vertex Al Workbench user-managed notebook instance that uses the new service account.
  
  D : 1 Grant the Vertex Al User role to the primary team member.
  2. Grant the Notebook Viewer role to the other team members.
  3. Provision a Vertex Al Workbench user-managed notebook instance that uses the primary users
  account.
  
  Answer: C
Question 2
- You work on a team in a data center that is responsible for server maintenance. Your management team wants you to build a predictive maintenance solution that uses monitoring data to detect potential server failures. Incident data has not been labeled yet. What should you do first?
  
  A : Train a time-series model to predict the machines’ performance values. Configure an alert if a machine’s actual performance values significantly differ from the predicted performance values.
  
  B : Develop a simple heuristic (e.g., based on z-score) to label the machines’ historical performance data. Use this heuristic to monitor server performance in real time.
  
  C : Develop a simple heuristic (e.g., based on z-score) to label the machines’ historical performance data. Train a model to predict anomalies based on this labeled dataset.
  
  D : Hire a team of qualified analysts to review and label the machines’ historical performance data. Train a model based on this manually labeled dataset.
  
  Answer: D
Question 3
- You are developing ML models with Al Platform for image segmentation on CT scans. You frequently update your model architectures based on the newest available research papers, and have to rerun training on the same dataset to benchmark their performance. You want to minimize computation costs and manual intervention while having version control for your code. What should you do?
  
  A : Use Cloud Functions to identify changes to your code in Cloud Storage and trigger a retraining job
  
  B : Use the gcloud command-line tool to submit training jobs on Al Platform when you update your code
  
  C :
  Use Cloud Build linked with Cloud Source Repositories to trigger retraining when new code is pushed to the repository
  
  D :
  Create an automated workflow in Cloud Composer that runs daily and looks for changes in code in Cloud Storage using a sensor.
  
  Answer: C
Question 4
- You work for a delivery company. You need to design a system that stores and manages features such as parcels delivered and truck locations over time. The system must retrieve the features with low latency and feed those features into a model for online prediction. The data science team will retrieve historical data at a specific point in time for model training. You want to store the features with minimal effort. What should you do?
  
  A : Store features in Bigtable as key/value data.
  
  B : Store features in Vertex Al Feature Store.
  
  C :
  Store features as a Vertex Al dataset and use those features to tram the models hosted in Vertex Al endpoints.
  
  D :
  Store features in BigQuery timestamp partitioned tables, and use the BigQuery Storage Read API to serve the features.
  
  Answer: B
Question 5
- You work for a bank You have been asked to develop an ML model that will support loan application decisions. You need to determine which Vertex Al services to include in the workflow You want to track the model's training parameters and the metrics per training epoch. You plan to compare the performance of each version of the model to determine the best model based on your chosen metrics. Which Vertex Al services should you use?
  
  A : Vertex ML Metadata Vertex Al Feature Store, and Vertex Al Vizier
  
  B : Vertex Al Pipelines. Vertex Al Experiments, and Vertex Al Vizier
  
  C : Vertex ML Metadata Vertex Al Experiments, and Vertex Al TensorBoard
  
  D : Vertex Al Pipelines. Vertex Al Feature Store, and Vertex Al TensorBoard
  
  Answer: D

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