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The Oracle 1z0-1110-22 exam covers a wide range of topics related to data science, including data preparation, machine learning, model deployment, data visualization, and data analysis. The exam is designed to test the candidate's knowledge and skills in these areas, as well as their ability to apply them in real-world scenarios. The exam consists of 60 multiple-choice questions and must be completed within 105 minutes.

Oracle Cloud Infrastructure Data Science 2022 Professional Sample Questions (Q23-Q28):

NEW QUESTION # 23
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. Data access
  • B. Feature engineering
  • C. Model validation
  • D. Model type selection

Answer: C


NEW QUESTION # 24
You are a data scientist leveraging Oracle Cloud Infrastructure (OCI) Data Science to create a model and need some additional python libraries for processing genome sequencing dat a. Which of the following THREE statements are correct with respect to installing additional Python libraries to process the data?

  • A. You can install private or custom libraries from your own internal repositories
  • B. OCI Data Science allows privileges in notebook sessions.
  • C. You cannot install a library that's not preinstalled in the provided image
  • D. You can only install libraries using yum and pip as a normal user
  • E. You can install any open source package available in a publicly accessible Python Package Index (PyPI) repository

Answer: A,D,E


NEW QUESTION # 25
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. Explained variance score
  • C. F1 Score
  • D. Mean squared error
  • E. Recall

Answer: C,E


NEW QUESTION # 26
As a data scientist, you are tasked with creating a model training job that is expected to take different hyperparameter values on every run. What is the most efficient way to set those pa-rameters with Oracle Data Science Jobs?

  • A. Create a new job every time you need to run your code and pass the parameters as en-vironment variables.
  • B. Create your code to expect different parameters either as environment variables or as command line arguments, which are set on every job run with different values.
  • C. Create your code to expect different parameters as command line arguments, and create it new job every time you run the code.
  • D. Create a new no by setting the required parameters in your code, and create a new job for mery code change.

Answer: B


NEW QUESTION # 27
For your next data science project, you need access to public geospatial images. Which Oracle Cloud service provides free access to those images?

  • A. Oracle Cloud Infrastructure (OCI) Data Science
  • B. Oracle Open Data
  • C. Oracle Big Data Service
  • D. Oracle Analytics Claud

Answer: B


NEW QUESTION # 28
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