Oracle 1z0-1110-23 問題集

質問 1：
While reviewing your data, you discover that your data set has a class imbalance. You are aware that the Accelerated Data Science (ADS) SDK provides multiple built-in automatic transformation tools for data set transformation. Which would be the right tool to correct any imbalance between the classes?
A. visualize_transforms ()
B. suggest_recommendations()
C. auto_transform()
D. sample ()
正解：D

質問 2：
. 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?
A. Reduce the load balancer bandwidth limit so that fewer requests come in.
B. Update the deployment to use fewer instances.
C. Update the deployment to use a larger virtual machine (more CPUs/memory).
D. Update the deployment to add more instances.
E. Delete the deployment.
正解：A,C,D

質問 3：
As a data scientist, you are working on a global health data set that has data from more than 50 countries. You want to encode three features, such as 'countries', 'race', and 'body organ' as categories. Which option would you use to encode the categorical feature?
A. show_in_notebook()
B. auto_transform()
C. OneHotEncoder()
D. DataFramLabelEncode()
正解：D

質問 4：
As a data scientist, you are trying to automate a machine learning (ML) workflow and have decided to use Oracle Cloud Infrastructure (OCI) AutoML Pipeline.
Which three are part of the AutoML Pipeline?
A. Model Deployment
B. Algorithm Selection
C. Feature Selection
D. Feature Extraction
E. Adaptive Sampling
正解：A,C,E

質問 5：
You are creating an Oracle Cloud Infrastructure (OCI) Data Science job that will run on a recurring basis in a production environment. This job will pick up sensitive data from an Object Storage bucket, train a model, and save it to the model catalog.
How would you design the authentication mechanism for the job?
A. Create a pre-authenticated request (PAR) for the Object Storage bucket, and use that in the job code.
B. Package your personal OCI config file and keys in the job artifact
C. Store your personal OCI config file and keys in the Vault and access the Vault through the job run resource principal.
D. Use the resource principal of the job run as the signer in the job code, ensuring there is a dynamic group for this job run with appropriate access to Object Storage and the model catalog.
正解：D

質問 6：
You want to ensure that all stdout and stderr from your code are automatically collected and logged, without implementing additional logging in your code. How would you achieve this with Data Science Jobs?
A. On job creation, enable logging and select a log group. Then, select either a log or the option to enable automatic log creation.
B. Create your own log group and use a third-party logging service to capture job run details for log collection and storing.
C. You can implement custom logging in your code by using the Data Science Jobs logging service.
D. Make sure that your code is using the standard logging library and then store all the logs to Object Storage at the end of the job.
正解：A

質問 7：
When preparing your model artifact to save it to the Oracle Cloud Infrastructure (OCI) Data Science model catalog, you create a score.py file. What is the purpose of the score.py fie?
A. Define the compute scaling strategy.
B. Configure the deployment infrastructure.
C. Execute the inference logic code
D. Define the inference server dependencies.
正解：B

質問 8：
You have trained a machine learning model on Oracle Cloud Infrastructure (OCI) Data Science, and you want to save the code and associated pickle file in a Git repository. To do this, you have to create a new SSH key pair to use for authentication. Which SSH command would you use to create the public/private algorithm key pair in the notebook session?
A. ssh-agent
B. ssh-add
C. ssh-Keygen
D. ssh-copy-id
正解：C