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• Publicado por luv pop 7 de maio de 2023 - Arquivado em Arte & Cultura - #Practice 1z0-1110-22 Engine  #Reliable 1z0-1110-22 Study Guide  #1z0-1110-22 Latest Exam Guide  #1z0-1110-22 Reliable Braindumps Sheet  #Latest 1z0-1110-22 Test Questions  - 3 visualizações

  

  Preparation for the professional 1z0-1110-22 Oracle Cloud Infrastructure Data Science 2022 Professional exam is no more difficult because experts have introduced the preparatory products. With DumpsKing products, you can pass the 1z0-1110-22 Oracle Cloud Infrastructure Data Science 2022 Professional exam on the first attempt. If you want a promotion or leave your current job, you should consider achieving a professional certification like 1z0-1110-22 Oracle Cloud Infrastructure Data Science 2022 Professional exam. You will need to pass the Oracle 1z0-1110-22 exam to achieve the 1z0-1110-22 Oracle Cloud Infrastructure Data Science 2022 Professional certification.

  The Oracle 1z0-1110-22 exam consists of 60 multiple-choice questions that must be completed within 105 minutes. The exam is computer-based and can be taken at a Pearson VUE testing center or online with the Oracle Cloud Infrastructure Certified Associate (OCA) credential. Candidates must achieve a score of 70% or higher to pass the exam and earn the Oracle Cloud Infrastructure Data Science 2022 Professional certification.

  The Oracle 1z0-1110-22 certification exam is designed for data science professionals who want to validate their skills and knowledge in using Oracle Cloud Infrastructure for data science and machine learning tasks. The exam covers a wide range of topics related to data science, including data preparation, feature engineering, model training and evaluation, and model deployment. It is intended for professionals who have experience working with data science tools and techniques, as well as a basic understanding of cloud computing principles.

  Oracle Cloud Infrastructure Data Science 2022 Professional Exam is a globally recognized certification exam that helps individuals to demonstrate their knowledge and expertise to potential employers. This certification exam validates the knowledge and skills required to design, develop, and implement machine learning models in Oracle Cloud Infrastructure. This exam also assesses one's knowledge of data management, data visualization, and machine learning algorithms.

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  Oracle Cloud Infrastructure Data Science 2022 Professional Sample Questions (Q21-Q26):

  NEW QUESTION # 21
  Using Oracle AutoML, you are tuning hyperparameters on a supported model class and have specified a time budget. AutoML terminates computation once the time budget is exhausted. What would you expect AutoML to return in case the time budget is exhausted before hy-perparameter tuning is completed?

  • A. The current best-known hyperparameter configuration is returned.
  • B. A random hyperparameter configuration is returned.
  • C. A hyperparameter configuration with a minimum learning rate is returned.
  • D. The last generated hyperparameter configuration is returned.

  Answer: A

  
  

  NEW QUESTION # 22
  Where do calls to stdout and stderr from score.py go in a model deployment?

  • A. The file that was defined for them on the Virtual stachine (VM).
  • B. The predict log in the Oracle Cloud Infrastructure (OCI) Logging service as defined in the deployment.
  • C. The OCI Cloud Shell, which can be accessed from the console.
  • D. The OCI console.

  Answer: B

  
  

  NEW QUESTION # 23
  You have developed a model training code that regularly checks for new data in Object Storage and retrains the model. Which statement best describes the Oracle Cloud Infrastructure (OCI) services that can be accessed from Data Science Jobs?

  • A. Some OCI services require authorizations not supported by Data Science Jobs.
  • B. Data Science Jobs can access all OCI services.
  • C. Data Science Jobs can access OCI resources only via the resource principal.
  • D. Data Science Jobs cannot access all OCI services.

  Answer: B

  
  

  NEW QUESTION # 24
  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?

  • A. 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.
  • B. Create the job in Data Science Jobs and then start the number of simultaneous job runs required for your workload.
  • C. 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.
  • D. Reconfigure the job run because Data science jobs does not support embarrassingly parallel.

  Answer: B

  
  

  NEW QUESTION # 25
  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. Create a new job with increased storage size and then run the job.
  • B. Edit the job, change the size of the storage of your job, and start a new job run.
  • C. Your code using too much disk space. Refactor the code to identify the problem.
  • D. On the job run, set the environment variable that helps increase the size of the storage.

  Answer: B

  
  

  NEW QUESTION # 26
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