最新Oracle Cloud 1z0-1110-23考試題庫，Oracle 1z0-1110-23課程的擬真試題下載

問題1
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. 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.

C. Create your own log group and use a third-party logging service to capture job run details for log collection and storing.

D. You can implement custom logging in your code by using the Data Science Jobs logging service.

正確答案: A

問題2
The Accelerated Data Science (ADS) model evaluation classes support different types of machine learning modeling techniques. Which three types of modeling techniques are supported by ADS Evaluators?

A. Multiclass Classification

B. Regression Analysis

C. Binary Classification

D. Recurrent Neural Network

E. K-means Clustering

F. Principal Component Analysis

正確答案: A,B,C

問題3
Which TWO statements are true about published conda environments?

A. The odsc conda init command is used to configure the location of published conda en-vironments.

B. You can only create published conda environment by modifying a Data Science conde

C. They can be used in Data Science Jobs and model deployments.

D. They are curated by Oracle Cloud Infrastructure (OCI) Data Science.

E. Your notebook session acts as the source to share published conda environment with team members.

正確答案: A,E

問題4
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 is 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.

正確答案: B

問題5
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. Adaptive Sampling

B. Model Deployment

C. Feature Extraction

D. Feature Selection

E. Algorithm Selection

正確答案: A,B,D

問題6
What preparation steps are required to access an Oracle AI service SDK from a Data Science notebook session?

A. Call the ADS command to enable AI integration

B. Create and upload score.py and runtime.yaml.

C. Import the REST API.

D. Create and upload the APIsigning key and config file.

正確答案: D

問題7
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 effi-cient 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.

正確答案: B

問題8
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. Update the deployment to use fewer instances.

B. Update the deployment to add more instances.

C. Update the deployment to use a larger virtual machine (mare CPUs/memory).

D. Reduce the load balancer bandwidth limit so that fewer requests come in.

E. Delete the deployment.

正確答案: B

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