Oracle Cloud Infrastructure Data Science 2023 Professional (1z0-1110-23) Free Practice Test

Question 1

Which TWO statements are true about published conda environments?

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

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

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

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

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

Correct Answer: D,E

Question 2

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?

A. Notebook Examples

B. Environment Explorer

C. Table of Contents

D. Terminal

E. Command Palette

Correct Answer: A,B

Question 3

You want to write a Python script to create a collection of different projects for your data science team. Which Oracle Cloud Infrastructure (OCI) Data Science Interface would you use?

A. Mobile App

B. Command Line Interface (CLI)

C. Programming Language Software Development Kit (SDK)

D. OCI Console

Correct Answer: C

Question 4

As a data scientist, you are trying to automate a machine learning (ML) workflow and have decided to use Oracle Cloud Infrastructure (OCI) AutoML Pipeline.
Which three are part of the AutoML Pipeline?

A. Algorithm Selection

B. Model Deployment

C. Feature Extraction

D. Feature Selection

E. Adaptive Sampling

Correct Answer: B,D,E

Question 5

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

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

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

Correct Answer: B

Question 6

You have a complex Python code project that could benefit from using Data Science Jobs as it is a repeatable machine learning model training task. The project contains many subfolders and classes.
What is the best way to run this project as a Job?

A. ZIP the entire code project folder and upload it as a Job artifact. Jobs automatically identifies the_main_ top level where the code is run.

B. Rewrite your code so that it is a single executable Python or Bash/Shell script file.

C. ZIP the entire code project folder, upload it as a Job artifact on job creation, and set JOB_RUN_ENTRYPOINT to point to the main executable file.

D. ZIP the entire code project folder and upload it as a Job artifact on job creation. Jobs identifies the main executable file automatically.

Correct Answer: C

Question 7

Six months ago, you created and deployed a model that predicts customer churn for a call center. Initially, it was yielding quality predictions. However, over the last two months, users have been questioning the credibility of the predictions. Which TWO methods customer churn would you employ to verify the accuracy of the model?

A. Retrain the model

B. Drift monitoring

C. Redeploy the model

D. Operational monitoring

E. Validate the model using recent data

Correct Answer: A,E

Question 8

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. 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.

B. Create a pre-authenticated request (PAR) for the Object Storage bucket, and use that in the job code.

C. Store your personal OCI config file and keys in the Vault and access the Vault through the job run resource principal.

D. Package your personal OCI config file and keys in the job artifact

Correct Answer: A

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Oracle Cloud Infrastructure Data Science 2023 Professional (1z0-1110-23) Free Practice Test