最新的Oracle Cloud Infrastructure認證 1z0-1110-22考試題庫

問題1

You are building a model and need input that represents data as morning, afternoon, or evening. However, the data contains a time stamp. What part of the Data Science life cycle would you be in when creating the new variable?

A. Feature engineering

B. Model validation

C. Data access

D. Model type selection

正確答案: B

問題2

The feature type TechJob has the following registered validators: Tech-Job.validator.register(name='is_tech_job', handler=is_tech_job_default_handler) Tech-Job.validator.register(name='is_tech_job', handler= is_tech_job_open_handler, condi-tion=('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_open_handler handler.

B. Execute the is_tech_job_closed_handler handler.

C. Throw an error because the system cannot determine which handler to run.

D. Execute the is_tech_job_default_handler sales handler.

正確答案: C

問題3

You are a data scientist designing an air traffic control model, and you choose to leverage Or-acle AutoML. You understand that the Oracle AutoML pipeline consists of multiple stages and automatically operates in a certain sequence. What is the correct sequence for the Oracle AutoML pipeline?

A. Algorithm selection, Feature selection, Adaptive sampling, Hyperparameter tuning.

B. Adaptive sampling, Algorithm selection, Feature selection, Hyperparameter tuning.

C. Adaptive sampling, Feature selection, Algorithm selection, Hyperparameter tuning.

D. Algorithm selection, Adaptive sampling. Feature selection, Hyperparameter tuning.

正確答案: D

問題4

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

A. R-Squared

B. Recall

C. Mean squared error

D. F1 Score

E. Explained variance score

正確答案: B,D

問題5

You have a data set with fewer than 1000 observations, and you are using Oracle AutoML to build a classifier. While visualizing the results of each stage of the Oracle AutoML pipeline, you notice that no visualization has been generated for one of the stages. Which stage is not visualized?

A. Feature selection

B. Hyperparameter tuning

C. Adaptive sampling

D. Algorithm selection

正確答案: C

問題6

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

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

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 changes the sensitivity of the model to detect anomalies.

正確答案: D

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