Free Oracle 1z0-1110-25 Exam Dumps Questions & Answers

You are a data scientist working inside a notebook session and you attempt to pip install a package from a public repository that is not included in your conda environment. After running this command, you get a network timeout error. What might be missing from your network configuration?

• A.Primary Virtual Network Interface Card (VNIC)
• B.FastConnect to an on-premises network
• C.Service Gateway with private subnet access
• D.The NAT Gateway with public internet access

You realize that your model deployment is about to reach its utilization limit. What would you do to avoid the issue before requests start to fail? Pick THREE.

• A.Reduce the load balancer bandwidth limit so that fewer requests come in
• B.Update the deployment to add more instances
• C.Update the deployment to use a larger virtual machine (more CPUs/memory)
• D.Update the deployment to use fewer instances
• E.Delete the deployment

As a data scientist, you are tasked with creating a model training job that is expected to take different hyperparameter values on every run. What is the most efficient way to set those parameters with Oracle Data Science Jobs?

• A.Create a new job by setting the required parameters in your code and create a new job for every code change
• B.Create your code to expect different parameters as command-line arguments and create a new job every time you run the code
• C.Create a new job every time you need to run your code and pass the parameters as environment variables
• D.Create your code to expect different parameters either as environment variables or as command-line arguments, which are set on every job run with different values

As a data scientist for a hardware company, you have been asked to predict the revenue demand for the upcoming quarter. You develop a time series forecasting model to analyze the data. Select the correct sequence of steps to predict the revenue demand values for the upcoming quarter.

• A.Prepare model, verify, save, deploy, predict
• B.Verify, prepare model, deploy, save, predict
• C.Predict, deploy, save, verify, prepare model
• D.Prepare model, deploy, verify, save, predict

You are a data scientist using Oracle AutoML to produce a model and you are evaluating the score metric for the model. Which TWO of the following prevailing metrics would you use for evaluating a multiclass classification model?

• A.Explained variance score
• B.Recall
• C.F1-score
• D.Mean squared error
• E.R-squared