1z0-1110-25 試験問題を無料オンラインアクセス

The feature type TechJob has the following registered validators:
* TechJob.validator.register(name='is_tech_job', handler=is_tech_job_default_handler)
* TechJob.validator.register(name='is_tech_job', handler=is_tech_job_open_handler, condition= ('job_family',))
* TechJob.validator.register(name='is_tech_job', handler=is_tech_job_closed_handler, condition= ('job_family': 'IT'))When you run is_tech_job(job_family='Engineering'), what does the feature type validator system do?

• A.Execute the is_tech_job_default_handler handler
• B.Execute the is_tech_job_closed_handler handler
• C.Execute the is_tech_job_open_handler handler
• D.Throw an error because the system cannot determine which handler to run

Which two statements are true about published conda environments?

• A.The odsc conda init command is used to configure the location of published conda environments
• B.In addition to service job run environment variables, conda environment variables can be used inData Science Jobs
• C.Your notebook session acts as the source to share published conda environments with team members
• D.They are curated by Oracle Cloud Infrastructure (OCI) Data Science
• E.You can only create a published conda environment by modifying a Data Science conda environment

You want to use ADSTuner to tune the hyperparameters of a supported model you recently trained. You have just started your search and want to reduce the computational cost as well as assess the quality of the model class that you are using. What is the most appropriate search space strategy to choose?

• A.Perfunctory
• B.ADSTuner doesn't need a search space to tune the hyperparameters
• C.Detailed
• D.Pass a dictionary that defines a search space

You are using Oracle Cloud Infrastructure (OCI) Anomaly Detection to train a model to detect anomalies in pump sensor data. What are you trying to determine? How does the required False Alarm Probability setting affect an anomaly detection model?

• A.It is used to disable the reporting of false alarms
• B.It changes the sensitivity of the model to detecting anomalies
• C.It determines how many false alarms occur before an error message is generated
• D.It adds a score to each signal indicating the probability that it's a false alarm

During a job run, you receive an error message that no space is left on your disk device. To solve the problem, you must increase the size of the job storage. What would be the most efficient way to do this with Data Science Jobs?

• A.Your code using too much disk space. Refactor the code to identify the problem
• B.Edit the job, change the size of the storage of your job, and start a new job run
• C.Create a new job with increased storage size and then run the job
• D.On the job run, set the environment variable that helps increase the size of the storage