Free Oracle Cloud Infrastructure Data Science 2023 Professional Exam 1Z0-1110-23 Exam Practice Test

You are a data scientist trying to load data into your notebook session. You understand that Accelerated Data Science (ADS) SDK supports loading various data formats. Which of the following THREE are ADS supported data formats?

• DOCX
• Pandas DataFram
• JSON
• Raw Images
• XML

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?

• 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.
• Create the job in Data Science Jobs and then start the number of simultaneous jobs runs required for your workload.
• Reconfigure the job run because Data Science Jobs does not support embarrassingly parallel workloads.
• Create a new job for every job run that you have to run in parallel, because the Data Science Jobs service can have only one job run per job.

You have created a Data Science project in a compartment called Development and shared it with a group of collaborators. You now need to move the project to a different compartment called Production after completing the current development iteration. Which statement is correct?

• Moving a project to a different compartment also moves its associated notebook sessions and models to the new compartment.
• Moving a project to a different compartment requires deleting all its associated notebook sessions and models first.
• You cannot move a project to a different compartment after it has been created.
• You can move a project to a different compartment without affecting its associated notebook sessions and models

While reviewing your data, you discover that your data set has a class imbalance. You are aware that the Accelerated Data Science (ADS) SDK provides multiple built-in automatic transformation tools for data set transformation. Which would be the right tool to correct any imbalance between the classes?

• sample()
• suggeste_recoomendations()
• auto_transform()
• visualize_transforms()

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?

• Topic classification
• Table extraction
• Sentiment analysis
• Sentence diagramming
• Punctuation correction

What preparation steps are required to access an Oracle AI service SDK from a Data Science notebook session?

• Call the Accented Data Science (ADS) command to enable Al integration
• Create and upload the API signing key and config file
• Import the REST API
• Create and upload execute.py and runtime.yaml

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?

• Table extraction
• Punctuation correction
• Sentence diagramming
• Topic classification
• Sentiment analysis

Which of the following TWO non-open source JupyterLab extensions has Oracle Cloud In-frastructure (OCI) Data Science developed and added to the notebook session experience?

• Environment Explorer
• Table of Contents
• Command Palette
• Notebook Examples
• Terminal

You have just received a new data set from a colleague. You want to quickly find out summary information about the data set, 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?

• show_corr()
• to_xgb ()
• compute ()
• show_in_notebook ()

You want to make your model more parsimonious to reduce the cost of collecting and processing data. You plan to do this by removing features that are highly correlated. You would like to create a heat map that displays the correlation so that you can identify candidate features to remove. Which Accelerated Data Science (ADS) SDK method would be appropriate to display the correlation between Continuous and Categorical features?

• Corr{}
• Correlation_ratio_plot{}
• Pearson_plot{}
• Cramersv_plot{}