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Oracle 1z0-1110-22 Exam With Confidence Using Practice Dumps

Exam Code:
1z0-1110-22
Exam Name:
Oracle Cloud Infrastructure Data Science 2022 Professional
Vendor:
Questions:
55
Last Updated:
Jul 12, 2025
Exam Status:
Stable
Oracle 1z0-1110-22

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Oracle Cloud Infrastructure Data Science 2022 Professional Questions and Answers

Question 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?

Options:

A.

Data Science Jots does not support automatic fog collection and storing.

B.

On job creation, enable logging and select a log group. Then, select either log or the op-tion to enable automatic log creation.

C.

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

D.

Make sure that your code is using the standard logging library and then store all the logs to Check Storage at the end of the job.

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Question 2

You are using Oracle Cloud Infrastructure Anomaly Detection to train a model to detect anomalies in pump sensor data. How does the required False Alarm Probability settings affect an anomaly detection model?

Options:

A.

It changes the sensitivity of the model to detect anomalies.

B.

It is used to disable the reporting of false alarm.

C.

It Adds a score to each signal indicating the probability that it is false alarm.

D.

It determines how many false alarms occur before an error message is generated.

Question 3

You have an embarrassingly parallel or distributed batch job on a large amount of data running using Data Science Jobs What would be the best approach to run the workload?

Options:

A.

Create the job in Data Science Jobs and then start the number of simultaneous job runs required for your workload.

B.

Create the job in Data Science Jobs and start a job run. When it is done, start a new job run until you achieve the number of runs required.

C.

Reconfigure the job run because Data science jobs does not support embarrassingly parallel.

D.

Create a new job for every job run that you have to run in parallel, because the Date Science Jobs service can have only one job run per job.