Oracle 1Z0-1110-22 Online Practice Questions and Exam Preparation

Oracle 1Z0-1110-22 Online Questions & Answers

• Question 1:

  When preparing your model artifact to save it to the Oracle Cloud Infrastructure (OCI) Data Science model catalog, you create a score.py file. What is the purpose of the score.py fie?

  A. Define the compute scaling strategy.
  B. Configure the deployment infrastructure.
  C. Define the inference server dependencies.
  D. Execute the inference logic code
  B. Configure the deployment infrastructure.

• Question 2:

  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. Recall
  B. Mean squared error
  C. F1 Score
  D. R-Squared
  E. Explained variance score
  A. Recall
  C. F1 Score

• Question 3:

  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?

  A. DOCX
  B. Pandas DataFram
  C. JSON
  D. Raw Images
  E. XML
  B. Pandas DataFram
  C. JSON
  E. XML

• Question 4:

  After you have created and opened a notebook session, you want to use the Accelerated Data Science (ADS) SDK to access your data and get started with exploratory data analysis. From which TWO places can you access the ADS SDK?

  A. Oracle Autonomous Data Warehouse
  B. Oracle Machine Learning
  C. Conda environments in Oracle Cloud infrastructure (OCI) Data Science.
  D. Python Package Index (PyPi)
  E. Oracle Big Data Service
  B. Oracle Machine Learning
  C. Conda environments in Oracle Cloud infrastructure (OCI) Data Science.

• Question 5:

  Which Oracle Accelerated Data Science (ADS) classes can be used for easy access to data sets from reference libraries and index websites, such as scikit-learn?

  A. ADSTurner
  B. DatasetFactory
  C. SecretKeeper
  D. Dataset Browser
  D. Dataset Browser

• Question 6:

  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 data. Which of the following THREE statements are correct with respect to installing additional Python libraries to process the data?

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

• Question 7:

  You are attempting to save a model from a notebook session to the model catalog by using the Accelerated Data Science (ADS) SDK, with resource principal as the authentication signer, and you get a 404 authentication error. Which TWO should you look for to ensure permissions are set up correctly?

  A. The networking configuration allows access to the Oracle Cloud Infrastructure (OCI) services through a Service Gateway.
  B. The model artifact is saved to the block volume of the notebook session.
  C. The dynamic group's matching rule exists for notebook sessions in this compartment.
  D. The policy for the dynamic group grants manages permissions for the model catalog in this compartment.
  E. The policy for your user group grants manage permissions for the model catalog in this compartment.
  D. The policy for the dynamic group grants manages permissions for the model catalog in this compartment.
  E. The policy for your user group grants manage permissions for the model catalog in this compartment.

• Question 8:

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

• Question 9:

  You realize that your model deployment is about to reach its utilization limit. What would you do to avoid the issue before requests start to fail?

  A. Update the deployment to use fewer instances.
  B. Delete the deployment.
  C. Reduce the load balancer bandwidth limit so that fewer requests come in.
  D. Update the deployment to use a larger virtual machine (mare CPUs/memory).
  E. Update the deployment to add more instances.
  E. Update the deployment to add more instances.

• Question 10:

  You are creating an Oracle Cloud Infrastructure (OCI) Data Science job that will run on a recurring basis in a production environment. This job will pick up sensitive data from an Object Storage bucket, train a model, and save it to the model catalog. How would you design the authentication mechanism for the job?

  A. Package your personal OC file and keys in the job artifact.
  B. Use the resource principal of the job run as the signer in the job code, ensuring there is a dynamic group for this job run with appropriate access to Object Storage and the model catalog.
  C. Store your personal OCI config file and kays in the Vault, and access the Vault through the job nun resource principal
  D. Create a pre-authenticated request (PAA) for the Object Storage bucket, and use that in the job code.
  B. Use the resource principal of the job run as the signer in the job code, ensuring there is a dynamic group for this job run with appropriate access to Object Storage and the model catalog.