Free 1z0-1110-25 – Oracle Cloud Solutions Infrastructure Practice Test Question

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  Object Detection

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  Named Entity Extraction

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  Classification (single/multi label)

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  Key-Point and Landmark

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  Polygonal Segmentation

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  Semantic Segmentation

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  Call the Accented Data Science (ADS) command to enable Al integration

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  Create and upload the API signing key and config file

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  Import the REST API

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  Create and upload execute.py and runtime.yaml

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  Document classification

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  Image classification

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  Text recognition

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  Key Value extraction

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  The path to the arhive.zip file.

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  The local path to your pySpark script.

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  The compartment of the Data Flow application.

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  The bucket used to read/write the pySpark script in Object Storage.

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  The display name of the application.

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  Show_in_notebook{}

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  To_xgb{}

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  Compute{}

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  Show_corr{}

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  Corr{}

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  Correlation_ratio_plot{}

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  Pearson_plot{}

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  Cramersv_plot{}

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  Update the deployment to use fewer instances.

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  Delete the deployment.

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  Reduce the load balancer bandwidth limit so that fewer requests come in.

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  Update the deployment to use a larger virtual machine (mare CPUs/memory).

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  Update the deployment to add more instances.

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  DOCX

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  Pandas DataFram

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  JSON

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  Raw Images

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  XML

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  The odsc conda init command is used to configure the location of published conda en-vironments.

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  They can be used in Data Science Jobs and model deployments.

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  Your notebook session acts as the source to share published conda environment with team members.

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  You can only create published conda environment by modifying a Data Science conde

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  They are curated by Oracle Cloud Infrastructure (OCI) Data Science.

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  On the job run, set the environment variable that helps increase the size of the storage.

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  Your code using too much disk space. Refactor the code to identify the problem.

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  Edit the job, change the size of the storage of your job, and start a new job run.

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  Create a new job with increased storage size and then run the job.