최신Oracle Cloud Infrastructure 2025 Data Science Professional - 1z0-1110-25무료샘플문제
문제1
You have an embarrassingly parallel or distributed batch job on a large amount of data that you consider running using Data Science Jobs. What would be the best approach to run the workload?
You have an embarrassingly parallel or distributed batch job on a large amount of data that you consider running using Data Science Jobs. What would be the best approach to run the workload?
정답: C
설명: (KoreaDumps 회원만 볼 수 있음)
문제2
Which is NOT a compliance document?
Which is NOT a compliance document?
정답: D
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문제3
Which TWO statements about Oracle Cloud Infrastructure (OCI) Open Data service are true?
Which TWO statements about Oracle Cloud Infrastructure (OCI) Open Data service are true?
정답: B,F
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문제4
You have just completed analyzing a set of images by using Oracle Cloud Infrastructure (OCI) Data Labeling, and you want to export the annotated data. Which TWO formats are supported?
You have just completed analyzing a set of images by using Oracle Cloud Infrastructure (OCI) Data Labeling, and you want to export the annotated data. Which TWO formats are supported?
정답: A,B
설명: (KoreaDumps 회원만 볼 수 있음)
문제5
You are a data scientist leveraging the Oracle Cloud Infrastructure (OCI) Language AI service for various types of text analyses. Which TWO capabilities can you utilize with this tool?
You are a data scientist leveraging the Oracle Cloud Infrastructure (OCI) Language AI service for various types of text analyses. Which TWO capabilities can you utilize with this tool?
정답: B,E
설명: (KoreaDumps 회원만 볼 수 있음)
문제6
You want to build a multistep machine learning workflow by using the Oracle Cloud Infrastructure (OCI) Data Science Pipeline feature. How would you configure the conda environment to run a pipeline step?
You want to build a multistep machine learning workflow by using the Oracle Cloud Infrastructure (OCI) Data Science Pipeline feature. How would you configure the conda environment to run a pipeline step?
정답: A
설명: (KoreaDumps 회원만 볼 수 있음)
문제7
When preparing your model artifact to save it to the Oracle Cloud Infrastructure (OCI) DataScience model catalog, you create a score.py file. What is the purpose of the score.py file?
When preparing your model artifact to save it to the Oracle Cloud Infrastructure (OCI) DataScience model catalog, you create a score.py file. What is the purpose of the score.py file?
정답: D
설명: (KoreaDumps 회원만 볼 수 있음)
문제8
As a data scientist, you create models for cancer prediction based on mammographic images. The correct identification is very crucial in this case. After evaluating two models, you arrive at the following confusion matrix. Which model would you prefer and why?
* Model 1 has Test accuracy is 80% and recall is 70%
* Model 2 has Test accuracy is 75% and recall is 85%
As a data scientist, you create models for cancer prediction based on mammographic images. The correct identification is very crucial in this case. After evaluating two models, you arrive at the following confusion matrix. Which model would you prefer and why?
* Model 1 has Test accuracy is 80% and recall is 70%
* Model 2 has Test accuracy is 75% and recall is 85%
정답: D
설명: (KoreaDumps 회원만 볼 수 있음)
문제9
You have just received a new dataset from a colleague. You want to quickly find out summary information about the dataset, such as the types of features, the total number of observations, and distributions of the data.
Which Accelerated Data Science (ADS) SDK method from the ADSDataset class would you use?
You have just received a new dataset from a colleague. You want to quickly find out summary information about the dataset, such as the types of features, the total number of observations, and distributions of the data.
Which Accelerated Data Science (ADS) SDK method from the ADSDataset class would you use?
정답: C
설명: (KoreaDumps 회원만 볼 수 있음)